---
_id: '47427'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Mauricio
full_name: Marrone, Mauricio
last_name: Marrone
- first_name: Jiaqi
full_name: Yang, Jiaqi
last_name: Yang
citation:
ama: 'Schryen G, Marrone M, Yang J. Adopting Generative AI for Literature Reviews:
An Epistemological Perspective. In: Proceedings of the 57th Hawaii International
Conference on System Science (HICSS 2024). ; 2024.'
apa: 'Schryen, G., Marrone, M., & Yang, J. (2024). Adopting Generative AI for
Literature Reviews: An Epistemological Perspective. Proceedings of the 57th
Hawaii International Conference on System Science (HICSS 2024).'
bibtex: '@inproceedings{Schryen_Marrone_Yang_2024, place={Oahu, Hawaii, USA}, title={Adopting
Generative AI for Literature Reviews: An Epistemological Perspective}, booktitle={Proceedings
of the 57th Hawaii International Conference on System Science (HICSS 2024)}, author={Schryen,
Guido and Marrone, Mauricio and Yang, Jiaqi}, year={2024} }'
chicago: 'Schryen, Guido, Mauricio Marrone, and Jiaqi Yang. “Adopting Generative
AI for Literature Reviews: An Epistemological Perspective.” In Proceedings
of the 57th Hawaii International Conference on System Science (HICSS 2024).
Oahu, Hawaii, USA, 2024.'
ieee: 'G. Schryen, M. Marrone, and J. Yang, “Adopting Generative AI for Literature
Reviews: An Epistemological Perspective,” 2024.'
mla: 'Schryen, Guido, et al. “Adopting Generative AI for Literature Reviews: An
Epistemological Perspective.” Proceedings of the 57th Hawaii International
Conference on System Science (HICSS 2024), 2024.'
short: 'G. Schryen, M. Marrone, J. Yang, in: Proceedings of the 57th Hawaii International
Conference on System Science (HICSS 2024), Oahu, Hawaii, USA, 2024.'
date_created: 2023-09-26T07:06:41Z
date_updated: 2023-09-26T07:11:29Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2023-09-26T07:08:44Z
date_updated: 2023-09-26T07:08:44Z
file_id: '47428'
file_name: FINAL_Generative AI and Literature Reviews - UPLOADED.pdf
file_size: 2303837
relation: main_file
file_date_updated: 2023-09-26T07:08:44Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Oahu, Hawaii, USA
publication: Proceedings of the 57th Hawaii International Conference on System Science
(HICSS 2024)
status: public
title: 'Adopting Generative AI for Literature Reviews: An Epistemological Perspective'
type: conference
user_id: '51811'
year: '2024'
...
---
_id: '47429'
author:
- first_name: Hans
full_name: Betke, Hans
last_name: Betke
- first_name: Martina
full_name: Sperling, Martina
id: '76460'
last_name: Sperling
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Stefan
full_name: Sackmann, Stefan
last_name: Sackmann
citation:
ama: 'Betke H, Sperling M, Schryen G, Sackmann S. A Design Theory for Spontaneous
Volunteer Coordination Systems in Disaster Response. In: Proceedings of the
57th Hawaii International Conference on System Science (HICSS 2024). ; 2024.'
apa: Betke, H., Sperling, M., Schryen, G., & Sackmann, S. (2024). A Design Theory
for Spontaneous Volunteer Coordination Systems in Disaster Response. Proceedings
of the 57th Hawaii International Conference on System Science (HICSS 2024).
bibtex: '@inproceedings{Betke_Sperling_Schryen_Sackmann_2024, place={Oahu, Hawaii,
USA}, title={A Design Theory for Spontaneous Volunteer Coordination Systems in
Disaster Response}, booktitle={Proceedings of the 57th Hawaii International Conference
on System Science (HICSS 2024)}, author={Betke, Hans and Sperling, Martina and
Schryen, Guido and Sackmann, Stefan}, year={2024} }'
chicago: Betke, Hans, Martina Sperling, Guido Schryen, and Stefan Sackmann. “A Design
Theory for Spontaneous Volunteer Coordination Systems in Disaster Response.” In
Proceedings of the 57th Hawaii International Conference on System Science (HICSS
2024). Oahu, Hawaii, USA, 2024.
ieee: H. Betke, M. Sperling, G. Schryen, and S. Sackmann, “A Design Theory for Spontaneous
Volunteer Coordination Systems in Disaster Response,” 2024.
mla: Betke, Hans, et al. “A Design Theory for Spontaneous Volunteer Coordination
Systems in Disaster Response.” Proceedings of the 57th Hawaii International
Conference on System Science (HICSS 2024), 2024.
short: 'H. Betke, M. Sperling, G. Schryen, S. Sackmann, in: Proceedings of the 57th
Hawaii International Conference on System Science (HICSS 2024), Oahu, Hawaii,
USA, 2024.'
date_created: 2023-09-26T07:11:44Z
date_updated: 2023-09-26T07:13:51Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2023-09-26T07:12:41Z
date_updated: 2023-09-26T07:12:41Z
file_id: '47430'
file_name: HICSS_SVCS Design Theory - FINAL VERSION.pdf
file_size: 1758775
relation: main_file
file_date_updated: 2023-09-26T07:12:41Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: Oahu, Hawaii, USA
publication: Proceedings of the 57th Hawaii International Conference on System Science
(HICSS 2024)
status: public
title: A Design Theory for Spontaneous Volunteer Coordination Systems in Disaster
Response
type: conference
user_id: '51811'
year: '2024'
...
---
_id: '50301'
author:
- first_name: Guido
full_name: Schryen, Guido
last_name: Schryen
citation:
ama: 'Schryen G. Speedup and efficiency of computational parallelization: A unifying
approach and asymptotic analysis. Journal of Parallel and Distributed Computing.
Published online 2024.'
apa: 'Schryen, G. (2024). Speedup and efficiency of computational parallelization:
A unifying approach and asymptotic analysis. Journal of Parallel and Distributed
Computing.'
bibtex: '@article{Schryen_2024, title={Speedup and efficiency of computational parallelization:
A unifying approach and asymptotic analysis}, journal={Journal of Parallel and
Distributed Computing}, author={Schryen, Guido}, year={2024} }'
chicago: 'Schryen, Guido. “Speedup and Efficiency of Computational Parallelization:
A Unifying Approach and Asymptotic Analysis.” Journal of Parallel and Distributed
Computing, 2024.'
ieee: 'G. Schryen, “Speedup and efficiency of computational parallelization: A unifying
approach and asymptotic analysis,” Journal of Parallel and Distributed Computing,
2024.'
mla: 'Schryen, Guido. “Speedup and Efficiency of Computational Parallelization:
A Unifying Approach and Asymptotic Analysis.” Journal of Parallel and Distributed
Computing, 2024.'
short: G. Schryen, Journal of Parallel and Distributed Computing (2024).
date_created: 2024-01-09T10:40:44Z
date_updated: 2024-01-09T10:40:55Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2024-01-09T10:39:33Z
date_updated: 2024-01-09T10:39:33Z
file_id: '50375'
file_name: ParallelScalabilityAnalysis__Preprint.pdf
file_size: 989773
relation: main_file
file_date_updated: 2024-01-09T10:39:33Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: Journal of Parallel and Distributed Computing
status: public
title: 'Speedup and efficiency of computational parallelization: A unifying approach
and asymptotic analysis'
type: journal_article
user_id: '51811'
year: '2024'
...
---
_id: '52092'
author:
- first_name: Miriam
full_name: Stumpe, Miriam
id: '64135'
last_name: Stumpe
citation:
ama: Stumpe M. A new mathematical formulation for the simultaneous optimization
of charging infrastructure and vehicle schedules for electric bus systems. Transportation
Research Procedia. 2024;78:402-409. doi:10.1016/j.trpro.2024.02.051
apa: Stumpe, M. (2024). A new mathematical formulation for the simultaneous optimization
of charging infrastructure and vehicle schedules for electric bus systems. Transportation
Research Procedia, 78, 402–409. https://doi.org/10.1016/j.trpro.2024.02.051
bibtex: '@article{Stumpe_2024, title={A new mathematical formulation for the simultaneous
optimization of charging infrastructure and vehicle schedules for electric bus
systems}, volume={78}, DOI={10.1016/j.trpro.2024.02.051},
journal={Transportation Research Procedia}, publisher={Elsevier BV}, author={Stumpe,
Miriam}, year={2024}, pages={402–409} }'
chicago: 'Stumpe, Miriam. “A New Mathematical Formulation for the Simultaneous Optimization
of Charging Infrastructure and Vehicle Schedules for Electric Bus Systems.” Transportation
Research Procedia 78 (2024): 402–9. https://doi.org/10.1016/j.trpro.2024.02.051.'
ieee: 'M. Stumpe, “A new mathematical formulation for the simultaneous optimization
of charging infrastructure and vehicle schedules for electric bus systems,” Transportation
Research Procedia, vol. 78, pp. 402–409, 2024, doi: 10.1016/j.trpro.2024.02.051.'
mla: Stumpe, Miriam. “A New Mathematical Formulation for the Simultaneous Optimization
of Charging Infrastructure and Vehicle Schedules for Electric Bus Systems.” Transportation
Research Procedia, vol. 78, Elsevier BV, 2024, pp. 402–09, doi:10.1016/j.trpro.2024.02.051.
short: M. Stumpe, Transportation Research Procedia 78 (2024) 402–409.
date_created: 2024-02-27T09:25:12Z
date_updated: 2024-02-27T11:29:37Z
department:
- _id: '277'
doi: 10.1016/j.trpro.2024.02.051
intvolume: ' 78'
language:
- iso: eng
page: 402-409
publication: Transportation Research Procedia
publication_identifier:
issn:
- 2352-1465
publication_status: published
publisher: Elsevier BV
status: public
title: A new mathematical formulation for the simultaneous optimization of charging
infrastructure and vehicle schedules for electric bus systems
type: journal_article
user_id: '51811'
volume: 78
year: '2024'
...
---
_id: '42179'
author:
- first_name: Sascha Christian
full_name: Burmeister, Sascha Christian
id: '32685'
last_name: Burmeister
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Burmeister SC, Schryen G. Distribution Network Optimization: Predicting computation
times to design scenario analysis for network operators. Energy Systems.
Published online 2023. doi:10.1007/s12667-023-00572-5'
apa: 'Burmeister, S. C., & Schryen, G. (2023). Distribution Network Optimization:
Predicting computation times to design scenario analysis for network operators.
Energy Systems. https://doi.org/10.1007/s12667-023-00572-5'
bibtex: '@article{Burmeister_Schryen_2023, title={Distribution Network Optimization:
Predicting computation times to design scenario analysis for network operators},
DOI={10.1007/s12667-023-00572-5},
journal={Energy Systems}, publisher={Springer}, author={Burmeister, Sascha Christian
and Schryen, Guido}, year={2023} }'
chicago: 'Burmeister, Sascha Christian, and Guido Schryen. “Distribution Network
Optimization: Predicting Computation Times to Design Scenario Analysis for Network
Operators.” Energy Systems, 2023. https://doi.org/10.1007/s12667-023-00572-5.'
ieee: 'S. C. Burmeister and G. Schryen, “Distribution Network Optimization: Predicting
computation times to design scenario analysis for network operators,” Energy
Systems, 2023, doi: 10.1007/s12667-023-00572-5.'
mla: 'Burmeister, Sascha Christian, and Guido Schryen. “Distribution Network Optimization:
Predicting Computation Times to Design Scenario Analysis for Network Operators.”
Energy Systems, Springer, 2023, doi:10.1007/s12667-023-00572-5.'
short: S.C. Burmeister, G. Schryen, Energy Systems (2023).
date_created: 2023-02-17T09:44:49Z
date_updated: 2023-04-26T14:38:43Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.1007/s12667-023-00572-5
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2023-03-14T13:44:07Z
date_updated: 2023-03-14T13:44:07Z
file_id: '43022'
file_name: s12667-023-00572-5.pdf
file_size: 1521348
relation: main_file
file_date_updated: 2023-03-14T13:44:07Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: Energy Systems
publisher: Springer
status: public
title: 'Distribution Network Optimization: Predicting computation times to design
scenario analysis for network operators'
type: journal_article
user_id: '61579'
year: '2023'
...
---
_id: '44361'
article_number: '106269'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Martina
full_name: Sperling, Martina
id: '76460'
last_name: Sperling
citation:
ama: 'Schryen G, Sperling M. Literature Reviews in Operations Research: A New Taxonomy
and a Meta Review. Computers & Operations Research. 2023;157(September).'
apa: 'Schryen, G., & Sperling, M. (2023). Literature Reviews in Operations Research:
A New Taxonomy and a Meta Review. Computers & Operations Research,
157(September), Article 106269.'
bibtex: '@article{Schryen_Sperling_2023, title={Literature Reviews in Operations
Research: A New Taxonomy and a Meta Review}, volume={157}, number={September106269},
journal={Computers & Operations Research}, author={Schryen, Guido and Sperling,
Martina}, year={2023} }'
chicago: 'Schryen, Guido, and Martina Sperling. “Literature Reviews in Operations
Research: A New Taxonomy and a Meta Review.” Computers & Operations Research
157, no. September (2023).'
ieee: 'G. Schryen and M. Sperling, “Literature Reviews in Operations Research: A
New Taxonomy and a Meta Review,” Computers & Operations Research, vol.
157, no. September, Art. no. 106269, 2023.'
mla: 'Schryen, Guido, and Martina Sperling. “Literature Reviews in Operations Research:
A New Taxonomy and a Meta Review.” Computers & Operations Research,
vol. 157, no. September, 106269, 2023.'
short: G. Schryen, M. Sperling, Computers & Operations Research 157 (2023).
date_created: 2023-05-03T06:14:25Z
date_updated: 2023-06-08T18:12:31Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2023-05-03T06:10:54Z
date_updated: 2023-05-03T21:56:59Z
file_id: '44362'
file_name: Meta_Review_LR_OR__Preprint.pdf
file_size: 2334338
relation: main_file
file_date_updated: 2023-05-03T21:56:59Z
has_accepted_license: '1'
intvolume: ' 157'
issue: September
language:
- iso: eng
oa: '1'
publication: Computers & Operations Research
status: public
title: 'Literature Reviews in Operations Research: A New Taxonomy and a Meta Review'
type: journal_article
user_id: '72850'
volume: 157
year: '2023'
...
---
_id: '44383'
author:
- first_name: Peter
full_name: Dieter, Peter
id: '88592'
last_name: Dieter
- first_name: Matthew
full_name: Caron, Matthew
id: '60721'
last_name: Caron
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Dieter P, Caron M, Schryen G. Integrating driver behavior into last-mile delivery
routing: Combining machine learning and optimization in a hybrid decision support
framework. European Journal of Operational Research (EJOR). 2023;311(1):283-300.
doi:https://doi.org/10.1016/j.ejor.2023.04.043'
apa: 'Dieter, P., Caron, M., & Schryen, G. (2023). Integrating driver behavior
into last-mile delivery routing: Combining machine learning and optimization in
a hybrid decision support framework. European Journal of Operational Research
(EJOR), 311(1), 283–300. https://doi.org/10.1016/j.ejor.2023.04.043'
bibtex: '@article{Dieter_Caron_Schryen_2023, title={Integrating driver behavior
into last-mile delivery routing: Combining machine learning and optimization in
a hybrid decision support framework}, volume={311}, DOI={https://doi.org/10.1016/j.ejor.2023.04.043},
number={1}, journal={European Journal of Operational Research (EJOR)}, author={Dieter,
Peter and Caron, Matthew and Schryen, Guido}, year={2023}, pages={283–300} }'
chicago: 'Dieter, Peter, Matthew Caron, and Guido Schryen. “Integrating Driver Behavior
into Last-Mile Delivery Routing: Combining Machine Learning and Optimization in
a Hybrid Decision Support Framework.” European Journal of Operational Research
(EJOR) 311, no. 1 (2023): 283–300. https://doi.org/10.1016/j.ejor.2023.04.043.'
ieee: 'P. Dieter, M. Caron, and G. Schryen, “Integrating driver behavior into last-mile
delivery routing: Combining machine learning and optimization in a hybrid decision
support framework,” European Journal of Operational Research (EJOR), vol.
311, no. 1, pp. 283–300, 2023, doi: https://doi.org/10.1016/j.ejor.2023.04.043.'
mla: 'Dieter, Peter, et al. “Integrating Driver Behavior into Last-Mile Delivery
Routing: Combining Machine Learning and Optimization in a Hybrid Decision Support
Framework.” European Journal of Operational Research (EJOR), vol. 311,
no. 1, 2023, pp. 283–300, doi:https://doi.org/10.1016/j.ejor.2023.04.043.'
short: P. Dieter, M. Caron, G. Schryen, European Journal of Operational Research
(EJOR) 311 (2023) 283–300.
date_created: 2023-05-03T08:55:42Z
date_updated: 2023-06-20T07:00:58Z
ddc:
- '000'
department:
- _id: '277'
doi: https://doi.org/10.1016/j.ejor.2023.04.043
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2023-05-03T08:48:57Z
date_updated: 2023-05-03T22:01:15Z
file_id: '44388'
file_name: Driver_Behavior_in_last_mile_delivery_EJOR_Final.pdf
file_size: 1162912
relation: main_file
file_date_updated: 2023-05-03T22:01:15Z
has_accepted_license: '1'
intvolume: ' 311'
issue: '1'
language:
- iso: eng
oa: '1'
page: 283-300
publication: European Journal of Operational Research (EJOR)
status: public
title: 'Integrating driver behavior into last-mile delivery routing: Combining machine
learning and optimization in a hybrid decision support framework'
type: journal_article
user_id: '72850'
volume: 311
year: '2023'
...
---
_id: '45816'
article_number: '103832'
author:
- first_name: Peter
full_name: Dieter, Peter
id: '88592'
last_name: Dieter
- first_name: Miriam
full_name: Stumpe, Miriam
id: '64135'
last_name: Stumpe
- first_name: Marlin Wolf
full_name: Ulmer, Marlin Wolf
last_name: Ulmer
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Dieter P, Stumpe M, Ulmer MW, Schryen G. Anticipatory Assignment of Passengers
to Meeting Points for Taxi-Ridesharing. Transportation Research Part D.
2023;121.
apa: Dieter, P., Stumpe, M., Ulmer, M. W., & Schryen, G. (2023). Anticipatory
Assignment of Passengers to Meeting Points for Taxi-Ridesharing. Transportation
Research Part D, 121, Article 103832.
bibtex: '@article{Dieter_Stumpe_Ulmer_Schryen_2023, title={Anticipatory Assignment
of Passengers to Meeting Points for Taxi-Ridesharing}, volume={121}, number={103832},
journal={Transportation Research Part D}, author={Dieter, Peter and Stumpe, Miriam
and Ulmer, Marlin Wolf and Schryen, Guido}, year={2023} }'
chicago: Dieter, Peter, Miriam Stumpe, Marlin Wolf Ulmer, and Guido Schryen. “Anticipatory
Assignment of Passengers to Meeting Points for Taxi-Ridesharing.” Transportation
Research Part D 121 (2023).
ieee: P. Dieter, M. Stumpe, M. W. Ulmer, and G. Schryen, “Anticipatory Assignment
of Passengers to Meeting Points for Taxi-Ridesharing,” Transportation Research
Part D, vol. 121, Art. no. 103832, 2023.
mla: Dieter, Peter, et al. “Anticipatory Assignment of Passengers to Meeting Points
for Taxi-Ridesharing.” Transportation Research Part D, vol. 121, 103832,
2023.
short: P. Dieter, M. Stumpe, M.W. Ulmer, G. Schryen, Transportation Research Part
D 121 (2023).
date_created: 2023-06-30T09:40:40Z
date_updated: 2023-07-13T19:24:01Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2023-06-30T09:35:54Z
date_updated: 2023-06-30T09:35:54Z
file_id: '45817'
file_name: Dynamic_TRS_with_meeting_points_Final.pdf
file_size: 7635511
relation: main_file
file_date_updated: 2023-06-30T09:35:54Z
has_accepted_license: '1'
intvolume: ' 121'
language:
- iso: eng
oa: '1'
publication: Transportation Research Part D
status: public
title: Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing
type: journal_article
user_id: '72850'
volume: 121
year: '2023'
...
---
_id: '46867'
author:
- first_name: Peter
full_name: Dieter, Peter
id: '88592'
last_name: Dieter
citation:
ama: 'Dieter P. A Regret Policy for the Dynamic Vehicle Routing Problem with Time
Windows. In: Lecture Notes in Computer Science. Springer Nature Switzerland;
2023. doi:10.1007/978-3-031-43612-3_14'
apa: Dieter, P. (2023). A Regret Policy for the Dynamic Vehicle Routing Problem
with Time Windows. In Lecture Notes in Computer Science. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-43612-3_14
bibtex: '@inbook{Dieter_2023, place={Cham}, title={A Regret Policy for the Dynamic
Vehicle Routing Problem with Time Windows}, DOI={10.1007/978-3-031-43612-3_14},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Dieter, Peter}, year={2023} }'
chicago: 'Dieter, Peter. “A Regret Policy for the Dynamic Vehicle Routing Problem
with Time Windows.” In Lecture Notes in Computer Science. Cham: Springer
Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43612-3_14.'
ieee: 'P. Dieter, “A Regret Policy for the Dynamic Vehicle Routing Problem with Time
Windows,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland,
2023.'
mla: Dieter, Peter. “A Regret Policy for the Dynamic Vehicle Routing Problem with Time
Windows.” Lecture Notes in Computer Science, Springer Nature Switzerland,
2023, doi:10.1007/978-3-031-43612-3_14.
short: 'P. Dieter, in: Lecture Notes in Computer Science, Springer Nature Switzerland,
Cham, 2023.'
date_created: 2023-09-07T17:46:08Z
date_updated: 2023-09-07T17:52:46Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.1007/978-3-031-43612-3_14
has_accepted_license: '1'
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031436116'
- '9783031436123'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows
type: book_chapter
user_id: '51811'
year: '2023'
...
---
_id: '47431'
author:
- first_name: Sascha Christian
full_name: Burmeister, Sascha Christian
id: '32685'
last_name: Burmeister
orcid: 0000-0001-6679-0453
- first_name: Daniela
full_name: Guericke, Daniela
last_name: Guericke
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Burmeister SC, Guericke D, Schryen G. A Memetic NSGA-II for the Multi-Objective
Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs. Flexible
Services and Manufacturing Journal. Published online 2023. doi:10.1007/s10696-023-09517-7
apa: Burmeister, S. C., Guericke, D., & Schryen, G. (2023). A Memetic NSGA-II
for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy
Tariffs. Flexible Services and Manufacturing Journal. https://doi.org/10.1007/s10696-023-09517-7
bibtex: '@article{Burmeister_Guericke_Schryen_2023, title={A Memetic NSGA-II for
the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy
Tariffs}, DOI={10.1007/s10696-023-09517-7},
journal={Flexible Services and Manufacturing Journal}, author={Burmeister, Sascha
Christian and Guericke, Daniela and Schryen, Guido}, year={2023} }'
chicago: Burmeister, Sascha Christian, Daniela Guericke, and Guido Schryen. “A Memetic
NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-Time
Energy Tariffs.” Flexible Services and Manufacturing Journal, 2023. https://doi.org/10.1007/s10696-023-09517-7.
ieee: 'S. C. Burmeister, D. Guericke, and G. Schryen, “A Memetic NSGA-II for the
Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs,”
Flexible Services and Manufacturing Journal, 2023, doi: 10.1007/s10696-023-09517-7.'
mla: Burmeister, Sascha Christian, et al. “A Memetic NSGA-II for the Multi-Objective
Flexible Job Shop Scheduling Problem with Real-Time Energy Tariffs.” Flexible
Services and Manufacturing Journal, 2023, doi:10.1007/s10696-023-09517-7.
short: S.C. Burmeister, D. Guericke, G. Schryen, Flexible Services and Manufacturing
Journal (2023).
date_created: 2023-09-26T07:17:11Z
date_updated: 2023-11-17T11:40:23Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.1007/s10696-023-09517-7
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2023-10-25T09:36:42Z
date_updated: 2023-10-25T09:36:42Z
file_id: '48460'
file_name: Springer_FSaM_Mem-NSGA-II.pdf
file_size: 1903435
relation: main_file
file_date_updated: 2023-10-25T09:36:42Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: Flexible Services and Manufacturing Journal
status: public
title: A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem
with Real-time Energy Tariffs
type: journal_article
user_id: '32685'
year: '2023'
...
---
_id: '45112'
article_type: letter_note
author:
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Milad
full_name: Mirbabaie, Milad
id: '88691'
last_name: Mirbabaie
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Simon Thanh-Nam
full_name: Trang, Simon Thanh-Nam
id: '98948'
last_name: Trang
orcid: 0000-0002-4784-4038
- first_name: Matthias
full_name: Trier, Matthias
id: '72744'
last_name: Trier
citation:
ama: Beverungen D, Kundisch D, Mirbabaie M, et al. Digital Responsibility – a Multilevel
Framework for Responsible Digitalization. Business & Information Systems
Engineering. 2023;65(4):463-474. doi:https://doi.org/10.1007/s12599-023-00822-x
apa: Beverungen, D., Kundisch, D., Mirbabaie, M., Müller, O., Schryen, G., Trang,
S. T.-N., & Trier, M. (2023). Digital Responsibility – a Multilevel Framework
for Responsible Digitalization. Business & Information Systems Engineering,
65(4), 463–474. https://doi.org/10.1007/s12599-023-00822-x
bibtex: '@article{Beverungen_Kundisch_Mirbabaie_Müller_Schryen_Trang_Trier_2023,
title={Digital Responsibility – a Multilevel Framework for Responsible Digitalization},
volume={65}, DOI={https://doi.org/10.1007/s12599-023-00822-x},
number={4}, journal={Business & Information Systems Engineering}, author={Beverungen,
Daniel and Kundisch, Dennis and Mirbabaie, Milad and Müller, Oliver and Schryen,
Guido and Trang, Simon Thanh-Nam and Trier, Matthias}, year={2023}, pages={463–474}
}'
chicago: 'Beverungen, Daniel, Dennis Kundisch, Milad Mirbabaie, Oliver Müller, Guido
Schryen, Simon Thanh-Nam Trang, and Matthias Trier. “Digital Responsibility –
a Multilevel Framework for Responsible Digitalization.” Business & Information
Systems Engineering 65, no. 4 (2023): 463–74. https://doi.org/10.1007/s12599-023-00822-x.'
ieee: 'D. Beverungen et al., “Digital Responsibility – a Multilevel Framework
for Responsible Digitalization,” Business & Information Systems Engineering,
vol. 65, no. 4, pp. 463–474, 2023, doi: https://doi.org/10.1007/s12599-023-00822-x.'
mla: Beverungen, Daniel, et al. “Digital Responsibility – a Multilevel Framework
for Responsible Digitalization.” Business & Information Systems Engineering,
vol. 65, no. 4, 2023, pp. 463–74, doi:https://doi.org/10.1007/s12599-023-00822-x.
short: D. Beverungen, D. Kundisch, M. Mirbabaie, O. Müller, G. Schryen, S.T.-N.
Trang, M. Trier, Business & Information Systems Engineering 65 (2023) 463–474.
date_created: 2023-05-19T07:21:29Z
date_updated: 2023-12-04T13:24:02Z
ddc:
- '000'
department:
- _id: '277'
- _id: '196'
- _id: '646'
- _id: '526'
- _id: '198'
- _id: '792'
- _id: '276'
- _id: '681'
doi: https://doi.org/10.1007/s12599-023-00822-x
file:
- access_level: closed
content_type: application/pdf
creator: schryen
date_created: 2023-07-06T13:02:00Z
date_updated: 2023-07-06T13:02:00Z
file_id: '45871'
file_name: Digital_Responsibility- A Multilevel Framework for Responsible Digitilization-
BISE Springer VERSION.pdf
file_size: 373767
relation: main_file
success: 1
file_date_updated: 2023-07-06T13:02:00Z
has_accepted_license: '1'
intvolume: ' 65'
issue: '4'
language:
- iso: eng
page: 463 - 474
publication: Business & Information Systems Engineering
publication_status: published
status: public
title: Digital Responsibility – a Multilevel Framework for Responsible Digitalization
type: journal_article
user_id: '46138'
volume: 65
year: '2023'
...
---
_id: '48335'
author:
- first_name: Lukas
full_name: Knorr, Lukas
id: '90391'
last_name: Knorr
- first_name: André
full_name: Jungeilges, André
id: '45189'
last_name: Jungeilges
- first_name: Florian
full_name: Pfeifer, Florian
id: '22717'
last_name: Pfeifer
- first_name: Sascha Christian
full_name: Burmeister, Sascha Christian
id: '32685'
last_name: Burmeister
orcid: 0000-0001-6679-0453
- first_name: Henning
full_name: Meschede, Henning
id: '86954'
last_name: Meschede
orcid: 0000-0002-1538-089X
citation:
ama: Knorr L, Jungeilges A, Pfeifer F, Burmeister SC, Meschede H. Regenerative
Energien für einen effizienten Betrieb von Presshärtelinien. 4. Aachener Ofenbau-
und Thermoprozess-Kolloquium; 2023.
apa: Knorr, L., Jungeilges, A., Pfeifer, F., Burmeister, S. C., & Meschede,
H. (2023). Regenerative Energien für einen effizienten Betrieb von Presshärtelinien.
4. Aachener Ofenbau- und Thermoprozess-Kolloquium.
bibtex: '@book{Knorr_Jungeilges_Pfeifer_Burmeister_Meschede_2023, place={Aachen},
title={Regenerative Energien für einen effizienten Betrieb von Presshärtelinien},
publisher={4. Aachener Ofenbau- und Thermoprozess-Kolloquium}, author={Knorr,
Lukas and Jungeilges, André and Pfeifer, Florian and Burmeister, Sascha Christian
and Meschede, Henning}, year={2023} }'
chicago: 'Knorr, Lukas, André Jungeilges, Florian Pfeifer, Sascha Christian Burmeister,
and Henning Meschede. Regenerative Energien für einen effizienten Betrieb von
Presshärtelinien. Aachen: 4. Aachener Ofenbau- und Thermoprozess-Kolloquium,
2023.'
ieee: 'L. Knorr, A. Jungeilges, F. Pfeifer, S. C. Burmeister, and H. Meschede, Regenerative
Energien für einen effizienten Betrieb von Presshärtelinien. Aachen: 4. Aachener
Ofenbau- und Thermoprozess-Kolloquium, 2023.'
mla: Knorr, Lukas, et al. Regenerative Energien für einen effizienten Betrieb
von Presshärtelinien. 4. Aachener Ofenbau- und Thermoprozess-Kolloquium, 2023.
short: L. Knorr, A. Jungeilges, F. Pfeifer, S.C. Burmeister, H. Meschede, Regenerative
Energien für einen effizienten Betrieb von Presshärtelinien, 4. Aachener Ofenbau-
und Thermoprozess-Kolloquium, Aachen, 2023.
date_created: 2023-10-19T10:34:14Z
date_updated: 2024-01-11T09:05:19Z
department:
- _id: '644'
- _id: '149'
- _id: '277'
- _id: '321'
language:
- iso: ger
place: Aachen
publisher: 4. Aachener Ofenbau- und Thermoprozess-Kolloquium
status: public
title: Regenerative Energien für einen effizienten Betrieb von Presshärtelinien
type: misc
user_id: '45189'
year: '2023'
...
---
_id: '23415'
author:
- first_name: Martina
full_name: Sperling, Martina
id: '76460'
last_name: Sperling
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Sperling M, Schryen G. Decision Support for Disaster Relief: Coordinating
Spontaneous Volunteers. European Journal of Operational Research (EJOR).
2022;299(2):690-705.'
apa: 'Sperling, M., & Schryen, G. (2022). Decision Support for Disaster Relief:
Coordinating Spontaneous Volunteers. European Journal of Operational Research
(EJOR), 299(2), 690–705.'
bibtex: '@article{Sperling_Schryen_2022, title={Decision Support for Disaster Relief:
Coordinating Spontaneous Volunteers}, volume={299}, number={2}, journal={European
Journal of Operational Research (EJOR)}, author={Sperling, Martina and Schryen,
Guido}, year={2022}, pages={690–705} }'
chicago: 'Sperling, Martina, and Guido Schryen. “Decision Support for Disaster Relief:
Coordinating Spontaneous Volunteers.” European Journal of Operational Research
(EJOR) 299, no. 2 (2022): 690–705.'
ieee: 'M. Sperling and G. Schryen, “Decision Support for Disaster Relief: Coordinating
Spontaneous Volunteers,” European Journal of Operational Research (EJOR),
vol. 299, no. 2, pp. 690–705, 2022.'
mla: 'Sperling, Martina, and Guido Schryen. “Decision Support for Disaster Relief:
Coordinating Spontaneous Volunteers.” European Journal of Operational Research
(EJOR), vol. 299, no. 2, 2022, pp. 690–705.'
short: M. Sperling, G. Schryen, European Journal of Operational Research (EJOR)
299 (2022) 690–705.
date_created: 2021-08-16T13:47:12Z
date_updated: 2022-01-19T14:55:21Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2021-08-16T13:46:57Z
date_updated: 2021-08-16T13:46:57Z
file_id: '23416'
file_name: CoordinatingSpontaneousVolunteers.pdf
file_size: 1275918
relation: main_file
file_date_updated: 2021-08-16T13:46:57Z
has_accepted_license: '1'
intvolume: ' 299'
issue: '2'
language:
- iso: eng
oa: '1'
page: 690 - 705
publication: European Journal of Operational Research (EJOR)
status: public
title: 'Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers'
type: journal_article
user_id: '61579'
volume: 299
year: '2022'
...
---
_id: '21093'
abstract:
- lang: eng
text: Requirements for energy distribution networks are changing fast due to the
growing share of renewable energy, increasing electrification, and novel consumer
and asset technologies. Since uncertainties about future developments increase
planning difficulty, flexibility potentials such as synergies between the electricity,
gas, heat, and transport sector often remain unused. In this paper, we therefore
present a novel module-based concept for a decision support system that helps
distribution network planners to identify cross-sectoral synergies and to select
optimal network assets such as transformers, cables, pipes, energy storage systems
or energy conversion technology. The concept enables long-term transformation
plans and supports distribution network planners in designing reliable, sustainable
and cost-efficient distribution networks for future demands.
author:
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Sascha Christian
full_name: Burmeister, Sascha Christian
id: '32685'
last_name: Burmeister
- first_name: Christoph
full_name: Weskamp, Christoph
last_name: Weskamp
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Kirchhoff J, Burmeister SC, Weskamp C, Engels G. Towards a Decision Support
System for Cross-Sectoral Energy Distribution Network Planning. In: Breitner MH,
Lehnhoff S, Nieße A, Staudt P, Weinhardt C, Werth O, eds. Energy Informatics
and Electro Mobility ICT. ; 2021.'
apa: Kirchhoff, J., Burmeister, S. C., Weskamp, C., & Engels, G. (2021). Towards
a Decision Support System for Cross-Sectoral Energy Distribution Network Planning.
In M. H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, & O. Werth
(Eds.), Energy Informatics and Electro Mobility ICT.
bibtex: '@inproceedings{Kirchhoff_Burmeister_Weskamp_Engels_2021, title={Towards
a Decision Support System for Cross-Sectoral Energy Distribution Network Planning},
booktitle={Energy Informatics and Electro Mobility ICT}, author={Kirchhoff, Jonas
and Burmeister, Sascha Christian and Weskamp, Christoph and Engels, Gregor}, editor={Breitner,
Michael H. and Lehnhoff, Sebastian and Nieße, Astrid and Staudt, Philipp and Weinhardt,
Christof and Werth, Oliver}, year={2021} }'
chicago: Kirchhoff, Jonas, Sascha Christian Burmeister, Christoph Weskamp, and Gregor
Engels. “Towards a Decision Support System for Cross-Sectoral Energy Distribution
Network Planning.” In Energy Informatics and Electro Mobility ICT, edited
by Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof
Weinhardt, and Oliver Werth, 2021.
ieee: J. Kirchhoff, S. C. Burmeister, C. Weskamp, and G. Engels, “Towards a Decision
Support System for Cross-Sectoral Energy Distribution Network Planning,” in Energy
Informatics and Electro Mobility ICT, 2021.
mla: Kirchhoff, Jonas, et al. “Towards a Decision Support System for Cross-Sectoral
Energy Distribution Network Planning.” Energy Informatics and Electro Mobility
ICT, edited by Michael H. Breitner et al., 2021.
short: 'J. Kirchhoff, S.C. Burmeister, C. Weskamp, G. Engels, in: M.H. Breitner,
S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, O. Werth (Eds.), Energy Informatics
and Electro Mobility ICT, 2021.'
conference:
end_date: 2021-03-11
name: Pre-Conference 16. International Congress on Wirtschaftsinformatik Universität
Duisburg-Essen
start_date: 2021-03-08
date_created: 2021-01-28T10:05:44Z
date_updated: 2022-04-30T13:48:49Z
department:
- _id: '534'
- _id: '66'
- _id: '277'
editor:
- first_name: Michael H.
full_name: Breitner, Michael H.
last_name: Breitner
- first_name: Sebastian
full_name: Lehnhoff, Sebastian
last_name: Lehnhoff
- first_name: Astrid
full_name: Nieße, Astrid
last_name: Nieße
- first_name: Philipp
full_name: Staudt, Philipp
last_name: Staudt
- first_name: Christof
full_name: Weinhardt, Christof
last_name: Weinhardt
- first_name: Oliver
full_name: Werth, Oliver
last_name: Werth
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://oops.uni-oldenburg.de/5084/7/proceedings_ow_sto_2021.pdf#page=41
oa: '1'
publication: Energy Informatics and Electro Mobility ICT
status: public
title: Towards a Decision Support System for Cross-Sectoral Energy Distribution Network
Planning
type: conference
user_id: '39928'
year: '2021'
...
---
_id: '20212'
abstract:
- lang: eng
text: "Ideational impact refers to the uptake of a paper's ideas and concepts by
subsequent research. It is defined in stark contrast to total citation impact,
a measure predominantly used in research evaluation that assumes that all citations
are equal. Understanding ideational impact is critical for evaluating research
impact and understanding how scientific disciplines build a cumulative tradition.
Research has only recently developed automated citation classification techniques
to distinguish between different types of citations and generally does not emphasize
the conceptual content of the citations and its ideational impact. To address
this problem, we develop Deep Content-enriched Ideational Impact Classification
(Deep-CENIC) as the first automated approach for ideational impact classification
to support researchers' literature search practices. We evaluate Deep-CENIC on
1,256 papers citing 24 information systems review articles from the IT business
value domain. We show that Deep-CENIC significantly outperforms state-of-the-art
benchmark models. We contribute to information systems research by operationalizing
the concept of ideational impact, designing a recommender system for academic
papers based on deep learning techniques, and empirically exploring the ideational
impact of the IT business value domain.\r\n"
article_number: '113432'
author:
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Nik Rushdi
full_name: Hassan, Nik Rushdi
last_name: Hassan
citation:
ama: 'Prester J, Wagner G, Schryen G, Hassan NR. Classifying the Ideational Impact
of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.
Decision Support Systems. 2021;140(January).'
apa: 'Prester, J., Wagner, G., Schryen, G., & Hassan, N. R. (2021). Classifying
the Ideational Impact of Information Systems Review Articles: A Content-Enriched
Deep Learning Approach. Decision Support Systems, 140(January),
Article 113432.'
bibtex: '@article{Prester_Wagner_Schryen_Hassan_2021, title={Classifying the Ideational
Impact of Information Systems Review Articles: A Content-Enriched Deep Learning
Approach}, volume={140}, number={January113432}, journal={Decision Support Systems},
author={Prester, Julian and Wagner, Gerit and Schryen, Guido and Hassan, Nik Rushdi},
year={2021} }'
chicago: 'Prester, Julian, Gerit Wagner, Guido Schryen, and Nik Rushdi Hassan. “Classifying
the Ideational Impact of Information Systems Review Articles: A Content-Enriched
Deep Learning Approach.” Decision Support Systems 140, no. January (2021).'
ieee: 'J. Prester, G. Wagner, G. Schryen, and N. R. Hassan, “Classifying the Ideational
Impact of Information Systems Review Articles: A Content-Enriched Deep Learning
Approach,” Decision Support Systems, vol. 140, no. January, Art. no. 113432,
2021.'
mla: 'Prester, Julian, et al. “Classifying the Ideational Impact of Information
Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision
Support Systems, vol. 140, no. January, 113432, 2021.'
short: J. Prester, G. Wagner, G. Schryen, N.R. Hassan, Decision Support Systems
140 (2021).
date_created: 2020-10-27T13:28:21Z
date_updated: 2022-06-10T06:55:32Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-10-27T13:31:01Z
date_updated: 2020-10-27T13:31:01Z
file_id: '20213'
file_name: DECSUP-D-20-00312 - PREPUBLICATION.pdf
file_size: 440903
relation: main_file
file_date_updated: 2020-10-27T13:31:01Z
has_accepted_license: '1'
intvolume: ' 140'
issue: January
keyword:
- Ideational impact
- citation classification
- academic recommender systems
- natural language processing
- deep learning
- cumulative tradition
language:
- iso: eng
oa: '1'
publication: Decision Support Systems
status: public
title: 'Classifying the Ideational Impact of Information Systems Review Articles:
A Content-Enriched Deep Learning Approach'
type: journal_article
user_id: '72850'
volume: 140
year: '2021'
...
---
_id: '20844'
abstract:
- lang: eng
text: Review papers are essential for knowledge development in IS. While some are
cited twice a day, others accumulate single digit citations over a decade. The
magnitude of these differences prompts us to analyze what distinguishes those
reviews that have proven to be integral to scientific progress from those that
might be considered less impactful. Our results highlight differences between
reviews aimed at describing, understanding, explaining, and theory testing. Beyond
the control variables, they demonstrate the importance of methodological transparency
and the development of research agendas. These insights inform all stakeholders
involved in the development and publication of review papers.
article_number: '103427'
author:
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Maria
full_name: Roche, Maria
last_name: Roche
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Guy
full_name: Paré, Guy
last_name: Paré
- first_name: Mathieu
full_name: Templier, Mathieu
last_name: Templier
citation:
ama: Wagner G, Prester J, Roche M, et al. Which Factors Affect the Scientific Impact
of Review Papers in IS Research? A Scientometric Study. Information & Management.
2021;58(3).
apa: Wagner, G., Prester, J., Roche, M., Schryen, G., Benlian, A., Paré, G., &
Templier, M. (2021). Which Factors Affect the Scientific Impact of Review Papers
in IS Research? A Scientometric Study. Information & Management, 58(3),
Article 103427.
bibtex: '@article{Wagner_Prester_Roche_Schryen_Benlian_Paré_Templier_2021, title={Which
Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric
Study}, volume={58}, number={3103427}, journal={Information & Management},
author={Wagner, Gerit and Prester, Julian and Roche, Maria and Schryen, Guido
and Benlian, Alexander and Paré, Guy and Templier, Mathieu}, year={2021} }'
chicago: Wagner, Gerit, Julian Prester, Maria Roche, Guido Schryen, Alexander Benlian,
Guy Paré, and Mathieu Templier. “Which Factors Affect the Scientific Impact of
Review Papers in IS Research? A Scientometric Study.” Information & Management
58, no. 3 (2021).
ieee: G. Wagner et al., “Which Factors Affect the Scientific Impact of Review
Papers in IS Research? A Scientometric Study,” Information & Management,
vol. 58, no. 3, Art. no. 103427, 2021.
mla: Wagner, Gerit, et al. “Which Factors Affect the Scientific Impact of Review
Papers in IS Research? A Scientometric Study.” Information & Management,
vol. 58, no. 3, 103427, 2021.
short: G. Wagner, J. Prester, M. Roche, G. Schryen, A. Benlian, G. Paré, M. Templier,
Information & Management 58 (2021).
date_created: 2020-12-29T11:52:03Z
date_updated: 2022-06-10T06:53:12Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-12-29T11:49:57Z
date_updated: 2020-12-29T11:49:57Z
file_id: '20845'
file_name: INFMAN_Scientific Impact of Review Papers - Prepublication version.pdf
file_size: 1584950
relation: main_file
file_date_updated: 2020-12-29T11:49:57Z
has_accepted_license: '1'
intvolume: ' 58'
issue: '3'
keyword:
- Literature review
- review papers
- scientometric
- scientific impact
- citation analysis
language:
- iso: eng
oa: '1'
publication: Information & Management
status: public
title: Which Factors Affect the Scientific Impact of Review Papers in IS Research?
A Scientometric Study
type: journal_article
user_id: '72850'
volume: 58
year: '2021'
...
---
_id: '23494'
article_number: '100049'
author:
- first_name: Miriam
full_name: Stumpe, Miriam
id: '64135'
last_name: Stumpe
- first_name: David
full_name: Rößler, David
last_name: Rößler
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
citation:
ama: Stumpe M, Rößler D, Schryen G, Kliewer N. Study on Sensitivity of Electric
Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle
Schedules. EURO Journal on Transportation and Logistics. 2021;10. doi:https://doi.org/10.1016/j.ejtl.2021.100049
apa: Stumpe, M., Rößler, D., Schryen, G., & Kliewer, N. (2021). Study on Sensitivity
of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure
and Vehicle Schedules. EURO Journal on Transportation and Logistics, 10,
Article 100049. https://doi.org/10.1016/j.ejtl.2021.100049
bibtex: '@article{Stumpe_Rößler_Schryen_Kliewer_2021, title={Study on Sensitivity
of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure
and Vehicle Schedules}, volume={10}, DOI={https://doi.org/10.1016/j.ejtl.2021.100049},
number={100049}, journal={EURO Journal on Transportation and Logistics}, author={Stumpe,
Miriam and Rößler, David and Schryen, Guido and Kliewer, Natalia}, year={2021}
}'
chicago: Stumpe, Miriam, David Rößler, Guido Schryen, and Natalia Kliewer. “Study
on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging
Infrastructure and Vehicle Schedules.” EURO Journal on Transportation and Logistics
10 (2021). https://doi.org/10.1016/j.ejtl.2021.100049.
ieee: 'M. Stumpe, D. Rößler, G. Schryen, and N. Kliewer, “Study on Sensitivity of
Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure
and Vehicle Schedules,” EURO Journal on Transportation and Logistics, vol.
10, Art. no. 100049, 2021, doi: https://doi.org/10.1016/j.ejtl.2021.100049.'
mla: Stumpe, Miriam, et al. “Study on Sensitivity of Electric Bus Systems under
Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules.” EURO
Journal on Transportation and Logistics, vol. 10, 100049, 2021, doi:https://doi.org/10.1016/j.ejtl.2021.100049.
short: M. Stumpe, D. Rößler, G. Schryen, N. Kliewer, EURO Journal on Transportation
and Logistics 10 (2021).
date_created: 2021-08-24T09:20:08Z
date_updated: 2022-06-10T06:49:27Z
ddc:
- '000'
department:
- _id: '277'
doi: https://doi.org/10.1016/j.ejtl.2021.100049
ec_funded: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2022-06-09T11:20:09Z
date_updated: 2022-06-09T11:20:09Z
file_id: '31846'
file_name: 1-s2.0-S2192437621000200-main.pdf
file_size: 4966940
relation: main_file
file_date_updated: 2022-06-09T11:20:09Z
has_accepted_license: '1'
intvolume: ' 10'
language:
- iso: eng
oa: '1'
project:
- _id: '21'
call_identifier: FP7-ICT-2013-11
grant_number: '619543'
name: An integrated development environment for portable network applications
publication: EURO Journal on Transportation and Logistics
status: public
title: Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization
of Charging Infrastructure and Vehicle Schedules
type: journal_article
user_id: '72850'
volume: 10
year: '2021'
...
---
_id: '17934'
article_number: '37'
author:
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Wagner G, Prester J, Schryen G. Exploring the Scientific Impact of Information
Systems Design Science Research. Communications of the Association for Information
Systems. 2021;48(1).
apa: Wagner, G., Prester, J., & Schryen, G. (2021). Exploring the Scientific
Impact of Information Systems Design Science Research. Communications of the
Association for Information Systems, 48(1), Article 37.
bibtex: '@article{Wagner_Prester_Schryen_2021, title={Exploring the Scientific Impact
of Information Systems Design Science Research}, volume={48}, number={137}, journal={Communications
of the Association for Information Systems}, author={Wagner, Gerit and Prester,
Julian and Schryen, Guido}, year={2021} }'
chicago: Wagner, Gerit, Julian Prester, and Guido Schryen. “Exploring the Scientific
Impact of Information Systems Design Science Research.” Communications of the
Association for Information Systems 48, no. 1 (2021).
ieee: G. Wagner, J. Prester, and G. Schryen, “Exploring the Scientific Impact of
Information Systems Design Science Research,” Communications of the Association
for Information Systems, vol. 48, no. 1, Art. no. 37, 2021.
mla: Wagner, Gerit, et al. “Exploring the Scientific Impact of Information Systems
Design Science Research.” Communications of the Association for Information
Systems, vol. 48, no. 1, 37, 2021.
short: G. Wagner, J. Prester, G. Schryen, Communications of the Association for
Information Systems 48 (2021).
date_created: 2020-08-14T06:37:43Z
date_updated: 2022-06-09T11:12:05Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2022-06-09T11:09:05Z
date_updated: 2022-06-09T11:09:05Z
file_id: '31845'
file_name: Exploring the Scientific Impact of Information Systems Design Sci.pdf
file_size: 1354076
relation: main_file
file_date_updated: 2022-06-09T11:09:05Z
has_accepted_license: '1'
intvolume: ' 48'
issue: '1'
language:
- iso: eng
oa: '1'
publication: Communications of the Association for Information Systems
status: public
title: Exploring the Scientific Impact of Information Systems Design Science Research
type: journal_article
user_id: '61579'
volume: 48
year: '2021'
...
---
_id: '17019'
abstract:
- lang: eng
text: The scientific impact of research papers is multi-dimensional and can be determined
quantitatively by means of citation analysis and qualitatively by means of content
analysis. Accounting for the widely acknowledged limitations of pure citation
analysis, we adopt a knowledge-based perspective on scientific impact to develop
a methodology for content-based citation analysis which allows determining how
papers have enabled knowledge development in subsequent research (knowledge impact).
As knowledge development differs between research genres, we develop a new knowledgebased
citation analysis methodology for the genre of standalone literature reviews (LRs).
We apply the suggested methodology to the IS business value domain by manually
coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge
the assumption that citations indicate knowledge impact. We derive implications
for distinguishing knowledge impact from citation impact in the LR genre. Finally,
we develop recommendations for authors of LRs, scientific evaluation committees
and editorial boards of journals how to apply and benefit from the suggested methodology,
and we discuss its efficiency and automatization.
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
citation:
ama: 'Schryen G, Wagner G, Benlian A. Distinguishing Knowledge Impact from Citation
Impact: A Methodology for Analysing Knowledge Impact for the Literature Review
Genre.; 2020.'
apa: 'Schryen, G., Wagner, G., & Benlian, A. (2020). Distinguishing Knowledge
Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for
the Literature Review Genre.'
bibtex: '@book{Schryen_Wagner_Benlian_2020, title={Distinguishing Knowledge Impact
from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature
Review Genre}, author={Schryen, Guido and Wagner, Gerit and Benlian, Alexander},
year={2020} }'
chicago: 'Schryen, Guido, Gerit Wagner, and Alexander Benlian. Distinguishing
Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact
for the Literature Review Genre, 2020.'
ieee: 'G. Schryen, G. Wagner, and A. Benlian, Distinguishing Knowledge Impact
from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature
Review Genre. 2020.'
mla: 'Schryen, Guido, et al. Distinguishing Knowledge Impact from Citation Impact:
A Methodology for Analysing Knowledge Impact for the Literature Review Genre.
2020.'
short: 'G. Schryen, G. Wagner, A. Benlian, Distinguishing Knowledge Impact from
Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature
Review Genre, 2020.'
date_created: 2020-05-19T15:12:33Z
date_updated: 2022-01-06T06:53:02Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-05-19T15:09:28Z
date_updated: 2020-05-19T15:09:28Z
file_id: '17020'
file_name: SSRN-id3581789.pdf
file_size: 487351
relation: main_file
file_date_updated: 2020-05-19T15:09:28Z
has_accepted_license: '1'
keyword:
- Scientific impact
- knowledge impact
- content-based citation analysis
- methodology
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ssrn.com/abstract=3581789
oa: '1'
status: public
title: 'Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing
Knowledge Impact for the Literature Review Genre'
type: working_paper
user_id: '61579'
year: '2020'
...
---
_id: '17055'
abstract:
- lang: eng
text: Understanding a new literature corpus can be a grueling experience for junior
scholars. Nevertheless, corresponding guidelines have not been updated for decades.
We contend that the traditional strategy of skimming all papers and reading selected
papers afterwards needs to be revised. Therefore, we design a new strategy that
guides the overall exploratory process by prioritizing influential papers for
initial reading, followed by skimming the remaining papers. Consistent with schemata
theory, starting with in-depth reading allows readers to acquire more substantial
prior content schemata, which are representa-tive for the literature corpus and
useful in the following skimming process. To this end, we develop a prototype
that identifies the influential papers from a set of PDFs, which is illustrated
in a case study in the IT business value domain. With the new strategy, we envision
a more efficient process of exploring unknown literature corpora.
author:
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Philipp
full_name: Empl, Philipp
last_name: Empl
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Wagner G, Empl P, Schryen G. Designing a Novel Strategy for Exploring Literature
Corpora. In: 28th European Conference on Information Systems (ECIS 2020).
; 2020.'
apa: Wagner, G., Empl, P., & Schryen, G. (2020). Designing a Novel Strategy
for Exploring Literature Corpora. In 28th European Conference on Information
Systems (ECIS 2020). Marrakesh, Morocco.
bibtex: '@inproceedings{Wagner_Empl_Schryen_2020, title={Designing a Novel Strategy
for Exploring Literature Corpora}, booktitle={28th European Conference on Information
Systems (ECIS 2020)}, author={Wagner, Gerit and Empl, Philipp and Schryen, Guido},
year={2020} }'
chicago: Wagner, Gerit, Philipp Empl, and Guido Schryen. “Designing a Novel Strategy
for Exploring Literature Corpora.” In 28th European Conference on Information
Systems (ECIS 2020), 2020.
ieee: G. Wagner, P. Empl, and G. Schryen, “Designing a Novel Strategy for Exploring
Literature Corpora,” in 28th European Conference on Information Systems (ECIS
2020), Marrakesh, Morocco, 2020.
mla: Wagner, Gerit, et al. “Designing a Novel Strategy for Exploring Literature
Corpora.” 28th European Conference on Information Systems (ECIS 2020),
2020.
short: 'G. Wagner, P. Empl, G. Schryen, in: 28th European Conference on Information
Systems (ECIS 2020), 2020.'
conference:
location: Marrakesh, Morocco
name: Twenty-Eigth European Conference on Information Systems (ECIS2020)
date_created: 2020-05-24T15:23:32Z
date_updated: 2022-01-06T06:53:03Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-05-24T17:17:32Z
date_updated: 2021-08-13T14:04:55Z
file_id: '17056'
file_name: 2020-03-27-ECIS2020 Designing a novel strategy for exploring literature
corpora.pdf
file_size: 590754
relation: main_file
file_date_updated: 2021-08-13T14:04:55Z
has_accepted_license: '1'
keyword:
- Reading and skimming
- Exploring literature
- Review methodology
- Design science research
- Schemata theory
language:
- iso: eng
oa: '1'
publication: 28th European Conference on Information Systems (ECIS 2020)
status: public
title: Designing a Novel Strategy for Exploring Literature Corpora
type: conference
user_id: '61579'
year: '2020'
...
---
_id: '15414'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Schryen G. Integrating Management Science into the HPC Research Ecosystem.
Communications of the ACM. 2020;63(9):35-37.
apa: Schryen, G. (2020). Integrating Management Science into the HPC Research Ecosystem.
Communications of the ACM, 63(9), 35–37.
bibtex: '@article{Schryen_2020, title={Integrating Management Science into the HPC
Research Ecosystem}, volume={63}, number={9}, journal={Communications of the ACM},
author={Schryen, Guido}, year={2020}, pages={35–37} }'
chicago: 'Schryen, Guido. “Integrating Management Science into the HPC Research
Ecosystem.” Communications of the ACM 63, no. 9 (2020): 35–37.'
ieee: G. Schryen, “Integrating Management Science into the HPC Research Ecosystem,”
Communications of the ACM, vol. 63, no. 9, pp. 35–37, 2020.
mla: Schryen, Guido. “Integrating Management Science into the HPC Research Ecosystem.”
Communications of the ACM, vol. 63, no. 9, 2020, pp. 35–37.
short: G. Schryen, Communications of the ACM 63 (2020) 35–37.
date_created: 2019-12-28T14:27:44Z
date_updated: 2022-01-06T06:52:25Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-12-28T14:30:03Z
date_updated: 2020-03-05T10:36:48Z
file_id: '15415'
file_name: Bringing HPC to management science - Web version.pdf
file_size: 186658
relation: main_file
file_date_updated: 2020-03-05T10:36:48Z
has_accepted_license: '1'
intvolume: ' 63'
issue: '9'
language:
- iso: eng
oa: '1'
page: 35 - 37
publication: Communications of the ACM
status: public
title: Integrating Management Science into the HPC Research Ecosystem
type: journal_article
user_id: '61579'
volume: 63
year: '2020'
...
---
_id: '15513'
abstract:
- lang: eng
text: This interview is part of the special issue (01/2020) on “High Performance
Business Computing” to be published in the journal Business & Information Systems
Engineering. The interviewee Utz-Uwe Haus is Senior Research Engineer @ CRAY European
Research Lab (CERL)). A bio of him is included at the end of the interview.
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
- first_name: Andreas
full_name: Fink, Andreas
last_name: Fink
citation:
ama: 'Schryen G, Kliewer N, Fink A. Interview with Utz-Uwe Haus on “High Performance
Computing in Economic Environments: Opportunities and Challenges". Business
& Information Systems Engineering. 2020;62(01/2020):21-23.'
apa: 'Schryen, G., Kliewer, N., & Fink, A. (2020). Interview with Utz-Uwe Haus
on “High Performance Computing in Economic Environments: Opportunities and Challenges".
Business & Information Systems Engineering, 62(01/2020), 21–23.'
bibtex: '@article{Schryen_Kliewer_Fink_2020, title={Interview with Utz-Uwe Haus
on “High Performance Computing in Economic Environments: Opportunities and Challenges"},
volume={62}, number={01/2020}, journal={Business & Information Systems Engineering},
author={Schryen, Guido and Kliewer, Natalia and Fink, Andreas}, year={2020}, pages={21–23}
}'
chicago: 'Schryen, Guido, Natalia Kliewer, and Andreas Fink. “Interview with Utz-Uwe
Haus on “High Performance Computing in Economic Environments: Opportunities and
Challenges".” Business & Information Systems Engineering 62, no. 01/2020
(2020): 21–23.'
ieee: 'G. Schryen, N. Kliewer, and A. Fink, “Interview with Utz-Uwe Haus on “High
Performance Computing in Economic Environments: Opportunities and Challenges",”
Business & Information Systems Engineering, vol. 62, no. 01/2020, pp.
21–23, 2020.'
mla: 'Schryen, Guido, et al. “Interview with Utz-Uwe Haus on “High Performance Computing
in Economic Environments: Opportunities and Challenges".” Business & Information
Systems Engineering, vol. 62, no. 01/2020, 2020, pp. 21–23.'
short: G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering
62 (2020) 21–23.
date_created: 2020-01-13T13:23:51Z
date_updated: 2022-01-06T06:52:28Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: closed
content_type: application/pdf
creator: hsiemes
date_created: 2020-01-13T13:22:27Z
date_updated: 2021-08-12T11:41:55Z
file_id: '15516'
file_name: Interview Utz-Uwe Haus (Cray) - BISE SI HPBC - Prepublication version.pdf
file_size: 82469
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2021-08-12T11:41:21Z
date_updated: 2021-08-12T11:41:21Z
file_id: '23386'
file_name: Schryen2020_Article_InterviewWithUtz-UweHausOnHigh.pdf
file_size: 226595
relation: main_file
file_date_updated: 2021-08-12T11:41:55Z
has_accepted_license: '1'
intvolume: ' 62'
issue: 01/2020
language:
- iso: eng
oa: '1'
page: 21 - 23
publication: Business & Information Systems Engineering
status: public
title: 'Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments:
Opportunities and Challenges"'
type: journal_article
user_id: '61579'
volume: 62
year: '2020'
...
---
_id: '15022'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Schryen G. Parallel computational optimization in operations research: A new
integrative framework, literature review and research directions. European
Journal of Operational Research. 2020;287(1):1-18.'
apa: 'Schryen, G. (2020). Parallel computational optimization in operations research:
A new integrative framework, literature review and research directions. European
Journal of Operational Research, 287(1), 1–18.'
bibtex: '@article{Schryen_2020, title={Parallel computational optimization in operations
research: A new integrative framework, literature review and research directions},
volume={287}, number={1}, journal={European Journal of Operational Research},
publisher={Elsevier}, author={Schryen, Guido}, year={2020}, pages={1–18} }'
chicago: 'Schryen, Guido. “Parallel Computational Optimization in Operations Research:
A New Integrative Framework, Literature Review and Research Directions.” European
Journal of Operational Research 287, no. 1 (2020): 1–18.'
ieee: 'G. Schryen, “Parallel computational optimization in operations research:
A new integrative framework, literature review and research directions,” European
Journal of Operational Research, vol. 287, no. 1, pp. 1–18, 2020.'
mla: 'Schryen, Guido. “Parallel Computational Optimization in Operations Research:
A New Integrative Framework, Literature Review and Research Directions.” European
Journal of Operational Research, vol. 287, no. 1, Elsevier, 2020, pp. 1–18.'
short: G. Schryen, European Journal of Operational Research 287 (2020) 1–18.
date_created: 2019-11-18T11:11:00Z
date_updated: 2022-01-06T06:52:15Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-11-18T11:11:56Z
date_updated: 2020-03-05T10:37:02Z
file_id: '15023'
file_name: LR - OR and parallelization.pdf
file_size: 832170
relation: main_file
file_date_updated: 2020-03-05T10:37:02Z
has_accepted_license: '1'
intvolume: ' 287'
issue: '1'
language:
- iso: eng
oa: '1'
page: 1 - 18
publication: European Journal of Operational Research
publisher: Elsevier
status: public
title: 'Parallel computational optimization in operations research: A new integrative
framework, literature review and research directions'
type: journal_article
user_id: '61579'
volume: 287
year: '2020'
...
---
_id: '16249'
abstract:
- lang: eng
text: Timing plays a crucial role in the context of information security investments.
We regard timing in two dimensions, namely the time of announcement in relation
to the time of investment and the time of announcement in relation to the time
of a fundamental security incident. The financial value of information security
investments is assessed by examining the relationship between the investment announcements
and their stock market reaction focusing on the two time dimensions. Using an
event study methodology, we found that both dimensions influence the stock market
return of the investing organization. Our results indicate that (1) after fundamental
security incidents in a given industry, the stock price will react more positively
to a firm’s announcement of actual information security investments than to announcements
of the intention to invest; (2) the stock price will react more positively to
a firm’s announcements of the intention to invest after the fundamental security
incident compared to before; and (3) the stock price will react more positively
to a firm’s announcements of actual information security investments after the
fundamental security incident compared to before. Overall, the lowest abnormal
return can be expected when the intention to invest is announced before a fundamental
information security incident and the highest return when actual investing after
a fundamental information security incident in the respective industry.
author:
- first_name: Eva
full_name: Szubartowicz, Eva
last_name: Szubartowicz
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Szubartowicz E, Schryen G. Timing in Information Security: An Event Study
on the Impact of Information Security Investment Announcements. Journal of
Information System Security. 2020;16(1):3-31.'
apa: 'Szubartowicz, E., & Schryen, G. (2020). Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements.
Journal of Information System Security, 16(1), 3–31.'
bibtex: '@article{Szubartowicz_Schryen_2020, title={Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements},
volume={16}, number={1}, journal={Journal of Information System Security}, publisher={Information
Institute Publishing, Washington DC, USA}, author={Szubartowicz, Eva and Schryen,
Guido}, year={2020}, pages={3–31} }'
chicago: 'Szubartowicz, Eva, and Guido Schryen. “Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements.”
Journal of Information System Security 16, no. 1 (2020): 3–31.'
ieee: 'E. Szubartowicz and G. Schryen, “Timing in Information Security: An Event
Study on the Impact of Information Security Investment Announcements,” Journal
of Information System Security, vol. 16, no. 1, pp. 3–31, 2020.'
mla: 'Szubartowicz, Eva, and Guido Schryen. “Timing in Information Security: An
Event Study on the Impact of Information Security Investment Announcements.” Journal
of Information System Security, vol. 16, no. 1, Information Institute Publishing,
Washington DC, USA, 2020, pp. 3–31.'
short: E. Szubartowicz, G. Schryen, Journal of Information System Security 16 (2020)
3–31.
date_created: 2020-03-05T10:29:00Z
date_updated: 2022-01-06T06:52:47Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-03-05T10:26:11Z
date_updated: 2020-03-05T10:35:49Z
file_id: '16250'
file_name: Timing in Information Security - JISSEC format PREPUBLICATION.pdf
file_size: 478056
relation: main_file
file_date_updated: 2020-03-05T10:35:49Z
has_accepted_license: '1'
intvolume: ' 16'
issue: '1'
keyword:
- Event Study
- Information Security
- Investment Announcements
- Stock Price Reaction
- Value of Information Security Investments
language:
- iso: eng
oa: '1'
page: 3 - 31
publication: Journal of Information System Security
publisher: Information Institute Publishing, Washington DC, USA
status: public
title: 'Timing in Information Security: An Event Study on the Impact of Information
Security Investment Announcements'
type: journal_article
user_id: '61579'
volume: 16
year: '2020'
...
---
_id: '11946'
abstract:
- lang: eng
text: "Literature reviews (LRs) play an important role in the development of domain
knowledge in all fields. Yet, we observe a\r\nlack of insights into the activities
with which LRs actually develop knowledge. To address this important gap, we (1)\r\nderive
knowledge building activities from the extant literature on LRs, (2) suggest a
knowledge-based typology of LRs\r\nthat complements existing typologies, and (3)
apply the suggested typology in an empirical study that explores how LRs\r\nwith
different goals and methodologies have contributed to knowledge development. The
analysis of 240 LRs published\r\nin 40 renowned IS journals between 2000 and 2014
allows us to draw a detailed picture of knowledge development\r\nachieved by one
of the most important genres in the IS field. An overarching contribution of our
work is to unify extant\r\nconceptualizations of LRs by clarifying and illustrating
how LRs apply different methodologies in a range of knowledge\r\nbuilding activities
to achieve their goals with respect to theory."
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Guy
full_name: Paré, Guy
last_name: Paré
citation:
ama: 'Schryen G, Wagner G, Benlian A, Paré G. A Knowledge Development Perspective
on Literature Reviews: Validation of a New Typology in the IS Field. Communications
of the AIS. 2020;46:134-186. doi:10.17705/1CAIS.04607'
apa: 'Schryen, G., Wagner, G., Benlian, A., & Paré, G. (2020). A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field.
Communications of the AIS, 46, 134–186. https://doi.org/10.17705/1CAIS.04607'
bibtex: '@article{Schryen_Wagner_Benlian_Paré_2020, title={A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field},
volume={46}, DOI={10.17705/1CAIS.04607},
journal={Communications of the AIS}, author={Schryen, Guido and Wagner, Gerit
and Benlian, Alexander and Paré, Guy}, year={2020}, pages={134–186} }'
chicago: 'Schryen, Guido, Gerit Wagner, Alexander Benlian, and Guy Paré. “A Knowledge
Development Perspective on Literature Reviews: Validation of a New Typology in
the IS Field.” Communications of the AIS 46 (2020): 134–86. https://doi.org/10.17705/1CAIS.04607.'
ieee: 'G. Schryen, G. Wagner, A. Benlian, and G. Paré, “A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field,”
Communications of the AIS, vol. 46, pp. 134–186, 2020, doi: 10.17705/1CAIS.04607.'
mla: 'Schryen, Guido, et al. “A Knowledge Development Perspective on Literature
Reviews: Validation of a New Typology in the IS Field.” Communications of the
AIS, vol. 46, 2020, pp. 134–86, doi:10.17705/1CAIS.04607.'
short: G. Schryen, G. Wagner, A. Benlian, G. Paré, Communications of the AIS 46
(2020) 134–186.
date_created: 2019-07-12T12:01:02Z
date_updated: 2022-06-10T06:38:58Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.17705/1CAIS.04607
file:
- access_level: open_access
content_type: application/pdf
creator: schryen
date_created: 2020-02-26T18:12:29Z
date_updated: 2020-03-05T10:36:15Z
file_id: '16115'
file_name: RA-18-198.pdf
file_size: 1146830
relation: main_file
file_date_updated: 2020-03-05T10:36:15Z
has_accepted_license: '1'
intvolume: ' 46'
keyword:
- Literature review
- knowledge development
- knowledge building activities
- knowledge-based typology
- information systems research
language:
- iso: eng
oa: '1'
page: 134-186
publication: Communications of the AIS
publication_identifier:
issn:
- ' 1529-3181'
status: public
title: 'A Knowledge Development Perspective on Literature Reviews: Validation of a
New Typology in the IS Field'
type: journal_article
user_id: '72850'
volume: 46
year: '2020'
...
---
_id: '14985'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
- first_name: Andreas
full_name: Fink, Andreas
last_name: Fink
citation:
ama: Schryen G, Kliewer N, Fink A. High Performance Business Computing. Business
& Information Systems Engineering. 2020;62(1):1-3. doi:10.1007/s12599-019-00622-2
apa: Schryen, G., Kliewer, N., & Fink, A. (2020). High Performance Business
Computing. Business & Information Systems Engineering, 62(1),
1–3. https://doi.org/10.1007/s12599-019-00622-2
bibtex: '@article{Schryen_Kliewer_Fink_2020, title={High Performance Business Computing},
volume={62}, DOI={10.1007/s12599-019-00622-2},
number={1}, journal={Business & Information Systems Engineering}, author={Schryen,
Guido and Kliewer, Natalia and Fink, Andreas}, year={2020}, pages={1–3} }'
chicago: 'Schryen, Guido, Natalia Kliewer, and Andreas Fink. “High Performance Business
Computing.” Business & Information Systems Engineering 62, no. 1 (2020):
1–3. https://doi.org/10.1007/s12599-019-00622-2.'
ieee: 'G. Schryen, N. Kliewer, and A. Fink, “High Performance Business Computing,”
Business & Information Systems Engineering, vol. 62, no. 1, pp. 1–3,
2020, doi: 10.1007/s12599-019-00622-2.'
mla: Schryen, Guido, et al. “High Performance Business Computing.” Business &
Information Systems Engineering, vol. 62, no. 1, 2020, pp. 1–3, doi:10.1007/s12599-019-00622-2.
short: G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering
62 (2020) 1–3.
date_created: 2019-11-14T10:49:39Z
date_updated: 2022-06-10T06:15:40Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.1007/s12599-019-00622-2
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-11-14T10:52:41Z
date_updated: 2020-03-05T10:37:36Z
file_id: '14986'
file_name: Schryen2019_Article_HighPerformanceBusinessComputi.pdf
file_size: 161538
relation: main_file
file_date_updated: 2020-03-05T10:37:36Z
has_accepted_license: '1'
intvolume: ' 62'
issue: '1'
language:
- iso: eng
oa: '1'
page: 1-3
publication: Business & Information Systems Engineering
status: public
title: High Performance Business Computing
type: journal_article
user_id: '72850'
volume: 62
year: '2020'
...
---
_id: '13175'
abstract:
- lang: eng
text: "Today, organizations must deal with a plethora of IT security threats and
to ensure smooth and\r\nuninterrupted business operations, firms are challenged
to predict the volume of IT security vulnerabilities\r\nand allocate resources
for fixing them. This challenge requires decision makers to assess\r\nwhich system
or software packages are prone to vulnerabilities, how many post-release vulnerabilities\r\ncan
be expected to occur during a certain period of time, and what impact exploits
might have.\r\nSubstantial research has been dedicated to techniques that analyze
source code and detect security\r\nvulnerabilities. However, only limited research
has focused on forecasting security vulnerabilities\r\nthat are detected and reported
after the release of software. To address this shortcoming, we apply\r\nestablished
methodologies which are capable of forecasting events exhibiting specific time
series\r\ncharacteristics of security vulnerabilities, i.e., rareness of occurrence,
volatility, non-stationarity,\r\nand seasonality. Based on a dataset taken from
the National Vulnerability Database (NVD), we use\r\nthe Mean Absolute Error (MAE)
and Root Mean Square Error (RMSE) to measure the forecasting\r\naccuracy of single,
double, and triple exponential smoothing methodologies, Croston's methodology,\r\nARIMA,
and a neural network-based approach. We analyze the impact of the applied forecasting\r\nmethodology
on the prediction accuracy with regard to its robustness along the dimensions
of the\r\nexamined system and software package \"operating systems\", \"browsers\"
and \"office solutions\" and\r\nthe applied metrics. To the best of our knowledge,
this study is the first to analyze the effect\r\nof forecasting methodologies
and to apply metrics that are suitable in this context. Our results\r\nshow that
the optimal forecasting methodology depends on the software or system package,
as some\r\nmethodologies perform poorly in the context of IT security vulnerabilities,
that absolute metrics\r\ncan cover the actual prediction error precisely, and
that the prediction accuracy is robust within the\r\ntwo applied forecasting-error
metrics."
article_type: original
author:
- first_name: Emrah
full_name: Yasasin, Emrah
last_name: Yasasin
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Yasasin E, Prester J, Wagner G, Schryen G. Forecasting IT Security Vulnerabilities
- An Empirical Analysis. Computers & Security. 2020;88(January).
apa: Yasasin, E., Prester, J., Wagner, G., & Schryen, G. (2020). Forecasting
IT Security Vulnerabilities - An Empirical Analysis. Computers & Security,
88(January).
bibtex: '@article{Yasasin_Prester_Wagner_Schryen_2020, title={Forecasting IT Security
Vulnerabilities - An Empirical Analysis}, volume={88}, number={January}, journal={Computers
& Security}, author={Yasasin, Emrah and Prester, Julian and Wagner, Gerit
and Schryen, Guido}, year={2020} }'
chicago: Yasasin, Emrah, Julian Prester, Gerit Wagner, and Guido Schryen. “Forecasting
IT Security Vulnerabilities - An Empirical Analysis.” Computers & Security
88, no. January (2020).
ieee: E. Yasasin, J. Prester, G. Wagner, and G. Schryen, “Forecasting IT Security
Vulnerabilities - An Empirical Analysis,” Computers & Security, vol.
88, no. January, 2020.
mla: Yasasin, Emrah, et al. “Forecasting IT Security Vulnerabilities - An Empirical
Analysis.” Computers & Security, vol. 88, no. January, 2020.
short: E. Yasasin, J. Prester, G. Wagner, G. Schryen, Computers & Security 88
(2020).
date_created: 2019-09-09T18:24:45Z
date_updated: 2022-10-19T15:27:51Z
ddc:
- '000'
department:
- _id: '195'
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: schryen
date_created: 2019-09-09T18:24:35Z
date_updated: 2019-09-09T18:24:35Z
file_id: '13176'
file_name: Forecasting_IT_Security_Vulnerabilities.pdf
file_size: 894663
relation: main_file
file_date_updated: 2019-09-09T18:24:35Z
has_accepted_license: '1'
intvolume: ' 88'
issue: January
language:
- iso: eng
oa: '1'
publication: Computers & Security
publication_identifier:
issn:
- 0167-4048
publication_status: published
status: public
title: Forecasting IT Security Vulnerabilities - An Empirical Analysis
type: journal_article
user_id: '72850'
volume: 88
year: '2020'
...
---
_id: '5674'
abstract:
- lang: eng
text: In disaster operations management, a challenging task for rescue organizations
occurs when they have to assign and schedule their rescue units to emerging incidents
under time pressure in order to reduce the overall resulting harm. Of particular
importance in practical scenarios is the need to consider collaboration of rescue
units. This task has hardly been addressed in the literature. We contribute to
both modeling and solving this problem by (1) conceptualizing the situation as
a type of scheduling problem, (2) modeling it as a binary linear minimization
problem, (3) suggesting a branch-and-price algorithm, which can serve as both
an exact and heuristic solution procedure, and (4) conducting computational experiments
- including a sensitivity analysis of the effects of exogenous model parameters
on execution times and objective value improvements over a heuristic suggested
in the literature - for different practical disaster scenarios. The results of
our computational experiments show that most problem instances of practically
feasible size can be solved to optimality within ten minutes. Furthermore, even
when our algorithm is terminated once the first feasible solution has been found,
this solution is in almost all cases competitive to the optimal solution and substantially
better than the solution obtained by the best known algorithm from the literature.
This performance of our branch-and-price algorithm enables rescue organizations
to apply our procedure in practice, even when the time for decision making is
limited to a few minutes. By addressing a very general type of scheduling problem,
our approach applies to various scheduling situations.
author:
- first_name: Gerhard
full_name: Rauchecker, Gerhard
last_name: Rauchecker
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Rauchecker G, Schryen G. An Exact Branch-and-Price Algorithm for Scheduling
Rescue Units during Disaster Response. European Journal of Operational Research.
2019;272(1):352-363.
apa: Rauchecker, G., & Schryen, G. (2019). An Exact Branch-and-Price Algorithm
for Scheduling Rescue Units during Disaster Response. European Journal of Operational
Research, 272(1), 352–363.
bibtex: '@article{Rauchecker_Schryen_2019, title={An Exact Branch-and-Price Algorithm
for Scheduling Rescue Units during Disaster Response}, volume={272}, number={1},
journal={European Journal of Operational Research}, publisher={Elsevier}, author={Rauchecker,
Gerhard and Schryen, Guido}, year={2019}, pages={352–363} }'
chicago: 'Rauchecker, Gerhard, and Guido Schryen. “An Exact Branch-and-Price Algorithm
for Scheduling Rescue Units during Disaster Response.” European Journal of
Operational Research 272, no. 1 (2019): 352–63.'
ieee: G. Rauchecker and G. Schryen, “An Exact Branch-and-Price Algorithm for Scheduling
Rescue Units during Disaster Response,” European Journal of Operational Research,
vol. 272, no. 1, pp. 352–363, 2019.
mla: Rauchecker, Gerhard, and Guido Schryen. “An Exact Branch-and-Price Algorithm
for Scheduling Rescue Units during Disaster Response.” European Journal of
Operational Research, vol. 272, no. 1, Elsevier, 2019, pp. 352–63.
short: G. Rauchecker, G. Schryen, European Journal of Operational Research 272 (2019)
352–363.
date_created: 2018-11-14T15:35:27Z
date_updated: 2022-01-06T07:02:28Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:13:12Z
date_updated: 2018-12-13T15:16:37Z
file_id: '6019'
file_name: JOURNAL VERSION.pdf
file_size: 1470310
relation: main_file
file_date_updated: 2018-12-13T15:16:37Z
has_accepted_license: '1'
intvolume: ' 272'
issue: '1'
keyword:
- OR in disaster relief
- disaster operations management
- scheduling
- branch-and-price
language:
- iso: eng
oa: '1'
page: 352 - 363
publication: European Journal of Operational Research
publisher: Elsevier
status: public
title: An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster
Response
type: journal_article
user_id: '61579'
volume: 272
year: '2019'
...
---
_id: '6512'
abstract:
- lang: eng
text: Scheduling problems are essential for decision making in many academic disciplines,
including operations management, computer science, and information systems. Since
many scheduling problems are NP-hard in the strong sense, there is only limited
research on exact algorithms and how their efficiency scales when implemented
on parallel computing architectures. We address this gap by (1) adapting an exact
branch-and-price algorithm to a parallel machine scheduling problem on unrelated
machines with sequence- and machine-dependent setup times, (2) parallelizing the
adapted algorithm by implementing a distributed-memory parallelization with a
master/worker approach, and (3) conducting extensive computational experiments
using up to 960 MPI processes on a modern high performance computing cluster.
With our experiments, we show that the efficiency of our parallelization approach
can lead to superlinear speedup but can vary substantially between instances.
We further show that the wall time of serial execution can be substantially reduced
through our parallelization, in some cases from 94 hours to less than six minutes
when our algorithm is executed on 960 processes.
author:
- first_name: Gerhard
full_name: Rauchecker, Gerhard
last_name: Rauchecker
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Rauchecker G, Schryen G. Using High Performance Computing for Unrelated Parallel
Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational
Evaluation of a Parallel Branch-and-Price Algorithm. Computers & Operations
Research. 2019;(104):338-357.'
apa: 'Rauchecker, G., & Schryen, G. (2019). Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.
Computers & Operations Research, (104), 338–357.'
bibtex: '@article{Rauchecker_Schryen_2019, title={Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm},
number={104}, journal={Computers & Operations Research}, publisher={Elsevier},
author={Rauchecker, Gerhard and Schryen, Guido}, year={2019}, pages={338–357}
}'
chicago: 'Rauchecker, Gerhard, and Guido Schryen. “Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.”
Computers & Operations Research, no. 104 (2019): 338–57.'
ieee: 'G. Rauchecker and G. Schryen, “Using High Performance Computing for Unrelated
Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and
Computational Evaluation of a Parallel Branch-and-Price Algorithm,” Computers
& Operations Research, no. 104, pp. 338–357, 2019.'
mla: 'Rauchecker, Gerhard, and Guido Schryen. “Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.”
Computers & Operations Research, no. 104, Elsevier, 2019, pp. 338–57.'
short: G. Rauchecker, G. Schryen, Computers & Operations Research (2019) 338–357.
date_created: 2019-01-08T13:50:44Z
date_updated: 2022-01-06T07:03:08Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-01-08T14:03:53Z
date_updated: 2019-01-08T14:03:53Z
file_id: '6513'
file_name: cor-parallel-bp-for-upmsp.pdf
file_size: 4153528
relation: main_file
file_date_updated: 2019-01-08T14:03:53Z
has_accepted_license: '1'
issue: '104'
keyword:
- parallel machine scheduling with setup times
- parallel branch-and-price algorithm
- high performance computing
- master/worker parallelization
language:
- iso: eng
oa: '1'
page: 338-357
publication: Computers & Operations Research
publisher: Elsevier
status: public
title: 'Using High Performance Computing for Unrelated Parallel Machine Scheduling
with Sequence-Dependent Setup Times: Development and Computational Evaluation of
a Parallel Branch-and-Price Algorithm'
type: journal_article
user_id: '61579'
year: '2019'
...
---
_id: '6514'
abstract:
- lang: eng
text: Recommender Agents (RAs) facilitate consumers’ online purchase decisions for
complex, multi-attribute products. As not all combinations of attribute levels
can be obtained, users are forced into trade-offs. The exposure of trade-offs
in a RA has been found to affect consumers’ perceptions. However, little is known
about how different preference elicitation methods in RAs affect consumers by
varying degrees of trade-off exposure. We propose a research model that investigates
how different levels of trade-off exposure cognitively and affectively influence
consumers’ satisfaction with RAs. We operationalize these levels in three different
RA types and test our hypotheses in a laboratory experiment with 116 participants.
Our results indicate that with increasing tradeoff exposure, perceived enjoyment
and perceived control follow an inverted Ushaped relationship. Hence, RAs using
preference elicitation methods with medium trade-off exposure yield highest consumer
satisfaction. This contributes to the understanding of trade-offs in RAs and provides
valuable implications to e-commerce practitioners.
author:
- first_name: Veronika
full_name: Schuhbeck, Veronika
last_name: Schuhbeck
- first_name: Nils
full_name: Siegfried, Nils
last_name: Siegfried
- first_name: Verena
full_name: Dorner, Verena
last_name: Dorner
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Michael
full_name: Scholz, Michael
last_name: Scholz
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Schuhbeck V, Siegfried N, Dorner V, Benlian A, Scholz M, Schryen G. Walking
the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction
in Recommender Agents. In: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik.
Siegen, Germany; 2019:55-64.'
apa: 'Schuhbeck, V., Siegfried, N., Dorner, V., Benlian, A., Scholz, M., & Schryen,
G. (2019). Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher
Consumer Satisfaction in Recommender Agents. In Proceedings of the 14. Internationale
Tagung Wirtschaftsinformatik (pp. 55–64). Siegen, Germany.'
bibtex: '@inproceedings{Schuhbeck_Siegfried_Dorner_Benlian_Scholz_Schryen_2019,
place={Siegen, Germany}, title={Walking the Middle Path: How Medium Trade-off
Exposure Leads to Higher Consumer Satisfaction in Recommender Agents}, booktitle={Proceedings
of the 14. Internationale Tagung Wirtschaftsinformatik}, author={Schuhbeck, Veronika
and Siegfried, Nils and Dorner, Verena and Benlian, Alexander and Scholz, Michael
and Schryen, Guido}, year={2019}, pages={55–64} }'
chicago: 'Schuhbeck, Veronika, Nils Siegfried, Verena Dorner, Alexander Benlian,
Michael Scholz, and Guido Schryen. “Walking the Middle Path: How Medium Trade-off
Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” In Proceedings
of the 14. Internationale Tagung Wirtschaftsinformatik, 55–64. Siegen, Germany,
2019.'
ieee: 'V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, and G. Schryen,
“Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer
Satisfaction in Recommender Agents,” in Proceedings of the 14. Internationale
Tagung Wirtschaftsinformatik, Siegen, Germany, 2019, pp. 55–64.'
mla: 'Schuhbeck, Veronika, et al. “Walking the Middle Path: How Medium Trade-off
Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” Proceedings
of the 14. Internationale Tagung Wirtschaftsinformatik, 2019, pp. 55–64.'
short: 'V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, G. Schryen,
in: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik, Siegen,
Germany, 2019, pp. 55–64.'
conference:
end_date: 2019-02-27
location: Siegen, Germany
name: 14th International Conference on Wirtschaftsinformatik
start_date: 2019-02-24
date_created: 2019-01-08T14:06:32Z
date_updated: 2022-01-06T07:03:09Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: closed
content_type: application/pdf
creator: hsiemes
date_created: 2019-01-08T14:07:17Z
date_updated: 2021-08-13T13:26:11Z
file_id: '6515'
file_name: WALKING THE MIDDLE PATH.pdf
file_size: 371490
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2021-08-13T13:25:53Z
date_updated: 2021-08-13T13:25:53Z
file_id: '23393'
file_name: Walking the Middle Path_ How Medium Trade-Off Exposure Leads to H.pdf
file_size: 331001
relation: main_file
file_date_updated: 2021-08-13T13:26:11Z
has_accepted_license: '1'
keyword:
- Recommender Agents
- Preference Elicitation Method
- Trade-off Exposure
- Customer Satisfaction
language:
- iso: eng
oa: '1'
page: 55-64
place: Siegen, Germany
publication: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik
status: public
title: 'Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer
Satisfaction in Recommender Agents'
type: conference
user_id: '61579'
year: '2019'
...
---
_id: '14890'
author:
- first_name: Stefan
full_name: Kuhlemann, Stefan
id: '38910'
last_name: Kuhlemann
- first_name: Meinolf
full_name: Sellmann, Meinolf
last_name: Sellmann
- first_name: Kevin
full_name: Tierney, Kevin
last_name: Tierney
citation:
ama: 'Kuhlemann S, Sellmann M, Tierney K. Exploiting Counterfactuals for Scalable
Stochastic Optimization. In: Lecture Notes in Computer Science. Cham; 2019.
doi:10.1007/978-3-030-30048-7_40'
apa: Kuhlemann, S., Sellmann, M., & Tierney, K. (2019). Exploiting Counterfactuals
for Scalable Stochastic Optimization. In Lecture Notes in Computer Science.
Cham. https://doi.org/10.1007/978-3-030-30048-7_40
bibtex: '@inbook{Kuhlemann_Sellmann_Tierney_2019, place={Cham}, title={Exploiting
Counterfactuals for Scalable Stochastic Optimization}, DOI={10.1007/978-3-030-30048-7_40},
booktitle={Lecture Notes in Computer Science}, author={Kuhlemann, Stefan and Sellmann,
Meinolf and Tierney, Kevin}, year={2019} }'
chicago: Kuhlemann, Stefan, Meinolf Sellmann, and Kevin Tierney. “Exploiting Counterfactuals
for Scalable Stochastic Optimization.” In Lecture Notes in Computer Science.
Cham, 2019. https://doi.org/10.1007/978-3-030-30048-7_40.
ieee: S. Kuhlemann, M. Sellmann, and K. Tierney, “Exploiting Counterfactuals for
Scalable Stochastic Optimization,” in Lecture Notes in Computer Science,
Cham, 2019.
mla: Kuhlemann, Stefan, et al. “Exploiting Counterfactuals for Scalable Stochastic
Optimization.” Lecture Notes in Computer Science, 2019, doi:10.1007/978-3-030-30048-7_40.
short: 'S. Kuhlemann, M. Sellmann, K. Tierney, in: Lecture Notes in Computer Science,
Cham, 2019.'
date_created: 2019-11-12T07:45:53Z
date_updated: 2022-01-06T06:52:09Z
department:
- _id: '277'
doi: 10.1007/978-3-030-30048-7_40
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783030300470'
- '9783030300487'
issn:
- 0302-9743
- 1611-3349
publication_status: published
status: public
title: Exploiting Counterfactuals for Scalable Stochastic Optimization
type: book_chapter
user_id: '38910'
year: '2019'
...
---
_id: '14540'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
- first_name: Ralf
full_name: Borndörfer, Ralf
last_name: Borndörfer
- first_name: Thorsten
full_name: Koch, Thorsten
last_name: Koch
citation:
ama: Schryen G, Kliewer N, Borndörfer R, Koch T. High-Performance Business Computing
– Parallel Algorithms and Implementations for Solving Problems in Operations Research
and Data Analysis. OR News. 2019;65:34-35.
apa: Schryen, G., Kliewer, N., Borndörfer, R., & Koch, T. (2019). High-Performance
Business Computing – Parallel Algorithms and Implementations for Solving Problems
in Operations Research and Data Analysis. OR News, 65, 34–35.
bibtex: '@article{Schryen_Kliewer_Borndörfer_Koch_2019, title={High-Performance
Business Computing – Parallel Algorithms and Implementations for Solving Problems
in Operations Research and Data Analysis}, volume={65}, journal={OR News}, author={Schryen,
Guido and Kliewer, Natalia and Borndörfer, Ralf and Koch, Thorsten}, year={2019},
pages={34–35} }'
chicago: 'Schryen, Guido, Natalia Kliewer, Ralf Borndörfer, and Thorsten Koch. “High-Performance
Business Computing – Parallel Algorithms and Implementations for Solving Problems
in Operations Research and Data Analysis.” OR News 65 (2019): 34–35.'
ieee: G. Schryen, N. Kliewer, R. Borndörfer, and T. Koch, “High-Performance Business
Computing – Parallel Algorithms and Implementations for Solving Problems in Operations
Research and Data Analysis,” OR News, vol. 65, pp. 34–35, 2019.
mla: Schryen, Guido, et al. “High-Performance Business Computing – Parallel Algorithms
and Implementations for Solving Problems in Operations Research and Data Analysis.”
OR News, vol. 65, 2019, pp. 34–35.
short: G. Schryen, N. Kliewer, R. Borndörfer, T. Koch, OR News 65 (2019) 34–35.
date_created: 2019-11-04T17:00:30Z
date_updated: 2022-01-06T06:52:02Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: closed
content_type: application/pdf
creator: hsiemes
date_created: 2019-11-05T10:09:05Z
date_updated: 2019-11-05T10:09:05Z
file_id: '14542'
file_name: 1st International Workshop on HPBC.pdf
file_size: 4631697
relation: main_file
success: 1
file_date_updated: 2019-11-05T10:09:05Z
has_accepted_license: '1'
intvolume: ' 65'
language:
- iso: eng
page: 34-35
publication: OR News
status: public
title: High-Performance Business Computing – Parallel Algorithms and Implementations
for Solving Problems in Operations Research and Data Analysis
type: journal_article
user_id: '61579'
volume: 65
year: '2019'
...
---
_id: '5675'
abstract:
- lang: eng
text: When responding to natural disasters, professional relief units are often
supported by many volunteers which are not affiliated to humanitarian organizations.
The effective coordination of these volunteers is crucial to leverage their capabilities
and to avoid conflicts with professional relief units. In this paper, we empirically
identify key requirements that professional relief units pose on this coordination.
Based on these requirements, we suggest a decision model. We computationally solve
a real-world instance of the model and empirically validate the computed solution
in interviews with practitioners. Our results show that the suggested model allows
for solving volunteer coordination tasks of realistic size near-optimally within
short time, with the determined solution being well accepted by practitioners.
We also describe in this article how the suggested decision support model is integrated
in the volunteer coordination system which we develop in joint cooperation with
a disaster management authority and a software development company.
author:
- first_name: Gerhard
full_name: Rauchecker, Gerhard
last_name: Rauchecker
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Rauchecker G, Schryen G. Decision Support for the Optimal Coordination of
Spontaneous Volunteers in Disaster Relief. In: Proceedings of the 15th International
Conference on Information Systems for Crisis Response and Management. ; 2018.'
apa: Rauchecker, G., & Schryen, G. (2018). Decision Support for the Optimal
Coordination of Spontaneous Volunteers in Disaster Relief. In Proceedings of
the 15th International Conference on Information Systems for Crisis Response and
Management. Rochester, NY, USA.
bibtex: '@inproceedings{Rauchecker_Schryen_2018, title={Decision Support for the
Optimal Coordination of Spontaneous Volunteers in Disaster Relief}, booktitle={Proceedings
of the 15th International Conference on Information Systems for Crisis Response
and Management}, author={Rauchecker, Gerhard and Schryen, Guido}, year={2018}
}'
chicago: Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal
Coordination of Spontaneous Volunteers in Disaster Relief.” In Proceedings
of the 15th International Conference on Information Systems for Crisis Response
and Management, 2018.
ieee: G. Rauchecker and G. Schryen, “Decision Support for the Optimal Coordination
of Spontaneous Volunteers in Disaster Relief,” in Proceedings of the 15th International
Conference on Information Systems for Crisis Response and Management, Rochester,
NY, USA, 2018.
mla: Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal Coordination
of Spontaneous Volunteers in Disaster Relief.” Proceedings of the 15th International
Conference on Information Systems for Crisis Response and Management, 2018.
short: 'G. Rauchecker, G. Schryen, in: Proceedings of the 15th International Conference
on Information Systems for Crisis Response and Management, 2018.'
conference:
location: Rochester, NY, USA
name: 15th International Conference on Information Systems for Crisis Response and
Management
date_created: 2018-11-14T15:35:54Z
date_updated: 2022-01-06T07:02:28Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:25:06Z
date_updated: 2018-12-13T15:05:44Z
file_id: '6020'
file_name: 2018_ISCRAM_Conference_Proceedings - Publication Version.pdf
file_size: 488472
relation: main_file
file_date_updated: 2018-12-13T15:05:44Z
has_accepted_license: '1'
keyword:
- Coordination of spontaneous volunteers
- volunteer coordination system
- decision support
- scheduling optimization model
- linear programming
language:
- iso: eng
oa: '1'
publication: Proceedings of the 15th International Conference on Information Systems
for Crisis Response and Management
status: public
title: Decision Support for the Optimal Coordination of Spontaneous Volunteers in
Disaster Relief
type: conference
user_id: '61579'
year: '2018'
...
---
_id: '5681'
author:
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Prester J, Wagner G, Schryen G. Classifying the Ideational Impact of IS Review
Articles: A Natural Language Processing Based Approach. In: Proceedings of
the 2018 International Conference on Information Systems (ICIS 2018). San
Francisco, CA, USA; 2018.'
apa: 'Prester, J., Wagner, G., & Schryen, G. (2018). Classifying the Ideational
Impact of IS Review Articles: A Natural Language Processing Based Approach. In
Proceedings of the 2018 International Conference on Information Systems (ICIS
2018). San Francisco, CA, USA.'
bibtex: '@inproceedings{Prester_Wagner_Schryen_2018, place={San Francisco, CA, USA},
title={Classifying the Ideational Impact of IS Review Articles: A Natural Language
Processing Based Approach}, booktitle={Proceedings of the 2018 International Conference
on Information Systems (ICIS 2018)}, author={Prester, Julian and Wagner, Gerit
and Schryen, Guido}, year={2018} }'
chicago: 'Prester, Julian, Gerit Wagner, and Guido Schryen. “Classifying the Ideational
Impact of IS Review Articles: A Natural Language Processing Based Approach.” In
Proceedings of the 2018 International Conference on Information Systems (ICIS
2018). San Francisco, CA, USA, 2018.'
ieee: 'J. Prester, G. Wagner, and G. Schryen, “Classifying the Ideational Impact
of IS Review Articles: A Natural Language Processing Based Approach,” in Proceedings
of the 2018 International Conference on Information Systems (ICIS 2018), San
Francisco, CA, USA, 2018.'
mla: 'Prester, Julian, et al. “Classifying the Ideational Impact of IS Review Articles:
A Natural Language Processing Based Approach.” Proceedings of the 2018 International
Conference on Information Systems (ICIS 2018), 2018.'
short: 'J. Prester, G. Wagner, G. Schryen, in: Proceedings of the 2018 International
Conference on Information Systems (ICIS 2018), San Francisco, CA, USA, 2018.'
conference:
location: San Francisco, CA, USA
name: Thirty Ninth International Conference on Information Systems
date_created: 2018-11-14T15:41:39Z
date_updated: 2022-01-06T07:02:31Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:25:55Z
date_updated: 2018-12-13T15:05:57Z
file_id: '6021'
file_name: ICIS - 2018 - Classifying the Ideational Impact of IS Review Articles.pdf
file_size: 336667
relation: main_file
file_date_updated: 2018-12-13T15:05:57Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: San Francisco, CA, USA
publication: Proceedings of the 2018 International Conference on Information Systems
(ICIS 2018)
status: public
title: 'Classifying the Ideational Impact of IS Review Articles: A Natural Language
Processing Based Approach'
type: conference
user_id: '61579'
year: '2018'
...
---
_id: '6164'
author:
- first_name: Rolf
full_name: Schillinger, Rolf
last_name: Schillinger
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Schillinger R, Schryen G. Security in Highly Connected IT Systems – Results
of the Bavarian Research Alliance FORSEC. University of Regensburg; 2018.
doi:10.5283/epub.36264
apa: Schillinger, R., & Schryen, G. (2018). Security in Highly Connected
IT Systems – Results of the Bavarian Research Alliance FORSEC. University
of Regensburg. https://doi.org/10.5283/epub.36264
bibtex: '@book{Schillinger_Schryen_2018, title={Security in Highly Connected IT
Systems – Results of the Bavarian Research Alliance FORSEC}, DOI={10.5283/epub.36264},
publisher={University of Regensburg}, author={Schillinger, Rolf and Schryen, Guido},
year={2018} }'
chicago: Schillinger, Rolf, and Guido Schryen. Security in Highly Connected IT
Systems – Results of the Bavarian Research Alliance FORSEC. University of
Regensburg, 2018. https://doi.org/10.5283/epub.36264.
ieee: R. Schillinger and G. Schryen, Security in Highly Connected IT Systems
– Results of the Bavarian Research Alliance FORSEC. University of Regensburg,
2018.
mla: Schillinger, Rolf, and Guido Schryen. Security in Highly Connected IT Systems
– Results of the Bavarian Research Alliance FORSEC. University of Regensburg,
2018, doi:10.5283/epub.36264.
short: R. Schillinger, G. Schryen, Security in Highly Connected IT Systems – Results
of the Bavarian Research Alliance FORSEC, University of Regensburg, 2018.
date_created: 2018-12-11T13:39:45Z
date_updated: 2022-01-06T07:02:54Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.5283/epub.36264
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-11T13:42:43Z
date_updated: 2018-12-13T15:21:02Z
file_id: '6165'
file_name: PUBLISHED BOOK - Security in Highly Connected IT Systems.pdf
file_size: 1913774
relation: main_file
file_date_updated: 2018-12-13T15:21:02Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication_identifier:
isbn:
- 978-3-88246-374-3
publisher: University of Regensburg
status: public
title: Security in Highly Connected IT Systems – Results of the Bavarian Research
Alliance FORSEC
type: book
user_id: '61579'
year: '2018'
...
---
_id: '5586'
abstract:
- lang: eng
text: The need to protect resources against attackers is reflected by huge information
security investments of firms worldwide. In the presence of budget constraints
and a diverse set of assets to protect, organizations have to decide in which
IT security measures to invest, how to evaluate those investment decisions, and
how to learn from past decisions to optimize future security investment actions.
While the academic literature has provided valuable insights into these issues,
there is a lack of empirical contributions. To address this lack, we conduct a
theory-based exploratory multiple case study. Our case study reveals that (1)
firms? investments in information security are largely driven by external environmental
and industry-related factors, (2) firms do not implement standardized decision
processes, (3) the security process is perceived to impact the business process
in a disturbing way, (4) both the implementation of evaluation processes and the
application of metrics are hardly existent and (5) learning activities mainly
occur at an ad-hoc basis.
author:
- first_name: Eva
full_name: Weishäupl, Eva
last_name: Weishäupl
- first_name: Emrah
full_name: Yasasin, Emrah
last_name: Yasasin
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Weishäupl E, Yasasin E, Schryen G. Information Security Investments: An Exploratory
Multiple Case Study on Decision-Making, Evaluation and Learning. Computers
& Security. 2018;77:807-823.'
apa: 'Weishäupl, E., Yasasin, E., & Schryen, G. (2018). Information Security
Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation
and Learning. Computers & Security, 77, 807–823.'
bibtex: '@article{Weishäupl_Yasasin_Schryen_2018, title={Information Security Investments:
An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning},
volume={77}, journal={Computers & Security}, publisher={Elsevier}, author={Weishäupl,
Eva and Yasasin, Emrah and Schryen, Guido}, year={2018}, pages={807–823} }'
chicago: 'Weishäupl, Eva, Emrah Yasasin, and Guido Schryen. “Information Security
Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation
and Learning.” Computers & Security 77 (2018): 807–23.'
ieee: 'E. Weishäupl, E. Yasasin, and G. Schryen, “Information Security Investments:
An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning,”
Computers & Security, vol. 77, pp. 807–823, 2018.'
mla: 'Weishäupl, Eva, et al. “Information Security Investments: An Exploratory Multiple
Case Study on Decision-Making, Evaluation and Learning.” Computers & Security,
vol. 77, Elsevier, 2018, pp. 807–23.'
short: E. Weishäupl, E. Yasasin, G. Schryen, Computers & Security 77 (2018)
807–823.
date_created: 2018-11-14T11:24:37Z
date_updated: 2022-01-06T07:02:03Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:26:53Z
date_updated: 2018-12-13T15:06:10Z
file_id: '6022'
file_name: JOURNAL VERSION.pdf
file_size: 809490
relation: main_file
file_date_updated: 2018-12-13T15:06:10Z
has_accepted_license: '1'
intvolume: ' 77'
keyword:
- Information Security Investments
- Multiple Case Study
- Organizations
- Single Loop Learning
- Double Loop Learning
language:
- iso: eng
oa: '1'
page: 807 - 823
publication: Computers & Security
publisher: Elsevier
status: public
title: 'Information Security Investments: An Exploratory Multiple Case Study on Decision-Making,
Evaluation and Learning'
type: journal_article
user_id: '61579'
volume: 77
year: '2018'
...
---
_id: '5600'
author:
- first_name: Richard
full_name: Schuster, Richard
last_name: Schuster
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Schuster R, Wagner G, Schryen G. Information Systems Design Science Research
and Cumulative Knowledge Development: An Exploratory Study. In: Proceedings
of the 2018 International Conference on Information Systems (ICIS 2018). San
Francisco, CA, USA; 2018.'
apa: 'Schuster, R., Wagner, G., & Schryen, G. (2018). Information Systems Design
Science Research and Cumulative Knowledge Development: An Exploratory Study. In
Proceedings of the 2018 International Conference on Information Systems (ICIS
2018). San Francisco, CA, USA.'
bibtex: '@inproceedings{Schuster_Wagner_Schryen_2018, place={San Francisco, CA,
USA}, title={Information Systems Design Science Research and Cumulative Knowledge
Development: An Exploratory Study}, booktitle={Proceedings of the 2018 International
Conference on Information Systems (ICIS 2018)}, author={Schuster, Richard and
Wagner, Gerit and Schryen, Guido}, year={2018} }'
chicago: 'Schuster, Richard, Gerit Wagner, and Guido Schryen. “Information Systems
Design Science Research and Cumulative Knowledge Development: An Exploratory Study.”
In Proceedings of the 2018 International Conference on Information Systems
(ICIS 2018). San Francisco, CA, USA, 2018.'
ieee: 'R. Schuster, G. Wagner, and G. Schryen, “Information Systems Design Science
Research and Cumulative Knowledge Development: An Exploratory Study,” in Proceedings
of the 2018 International Conference on Information Systems (ICIS 2018), San
Francisco, CA, USA, 2018.'
mla: 'Schuster, Richard, et al. “Information Systems Design Science Research and
Cumulative Knowledge Development: An Exploratory Study.” Proceedings of the
2018 International Conference on Information Systems (ICIS 2018), 2018.'
short: 'R. Schuster, G. Wagner, G. Schryen, in: Proceedings of the 2018 International
Conference on Information Systems (ICIS 2018), San Francisco, CA, USA, 2018.'
conference:
location: San Francisco, CA, USA
name: Thirty Ninth International Conference on Information Systems
date_created: 2018-11-14T11:51:38Z
date_updated: 2022-01-06T07:02:07Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:28:03Z
date_updated: 2018-12-13T15:06:21Z
file_id: '6023'
file_name: paper345.pdf
file_size: 1080982
relation: main_file
file_date_updated: 2018-12-13T15:06:21Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
place: San Francisco, CA, USA
publication: Proceedings of the 2018 International Conference on Information Systems
(ICIS 2018)
status: public
title: 'Information Systems Design Science Research and Cumulative Knowledge Development:
An Exploratory Study'
type: conference
user_id: '61579'
year: '2018'
...
---
_id: '14856'
author:
- first_name: Corinna
full_name: Hallmann, Corinna
last_name: Hallmann
- first_name: Sascha Christian
full_name: Burmeister, Sascha Christian
id: '32685'
last_name: Burmeister
- first_name: Michaela
full_name: Wissing, Michaela
id: '32439'
last_name: Wissing
- first_name: Leena
full_name: Suhl, Leena
last_name: Suhl
citation:
ama: 'Hallmann C, Burmeister SC, Wissing M, Suhl L. Heuristics and Simulation for
Water Tank Optimization. In: Communications in Computer and Information Science.
Cham; 2018. doi:10.1007/978-3-319-96271-9_5'
apa: Hallmann, C., Burmeister, S. C., Wissing, M., & Suhl, L. (2018). Heuristics
and Simulation for Water Tank Optimization. In Communications in Computer and
Information Science. Cham. https://doi.org/10.1007/978-3-319-96271-9_5
bibtex: '@inbook{Hallmann_Burmeister_Wissing_Suhl_2018, place={Cham}, title={Heuristics
and Simulation for Water Tank Optimization}, DOI={10.1007/978-3-319-96271-9_5},
booktitle={Communications in Computer and Information Science}, author={Hallmann,
Corinna and Burmeister, Sascha Christian and Wissing, Michaela and Suhl, Leena},
year={2018} }'
chicago: Hallmann, Corinna, Sascha Christian Burmeister, Michaela Wissing, and Leena
Suhl. “Heuristics and Simulation for Water Tank Optimization.” In Communications
in Computer and Information Science. Cham, 2018. https://doi.org/10.1007/978-3-319-96271-9_5.
ieee: C. Hallmann, S. C. Burmeister, M. Wissing, and L. Suhl, “Heuristics and Simulation
for Water Tank Optimization,” in Communications in Computer and Information
Science, Cham, 2018.
mla: Hallmann, Corinna, et al. “Heuristics and Simulation for Water Tank Optimization.”
Communications in Computer and Information Science, 2018, doi:10.1007/978-3-319-96271-9_5.
short: 'C. Hallmann, S.C. Burmeister, M. Wissing, L. Suhl, in: Communications in
Computer and Information Science, Cham, 2018.'
date_created: 2019-11-08T08:10:10Z
date_updated: 2022-01-06T06:52:08Z
department:
- _id: '277'
doi: 10.1007/978-3-319-96271-9_5
language:
- iso: eng
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
isbn:
- '9783319962702'
- '9783319962719'
issn:
- 1865-0929
- 1865-0937
publication_status: published
status: public
title: Heuristics and Simulation for Water Tank Optimization
type: book_chapter
user_id: '32439'
year: '2018'
...
---
_id: '14861'
author:
- first_name: Corinna
full_name: Hallmann, Corinna
last_name: Hallmann
- first_name: Stefan
full_name: Kuhlemann, Stefan
id: '38910'
last_name: Kuhlemann
citation:
ama: 'Hallmann C, Kuhlemann S. Model Generator for Water Distribution Systems. In:
Operations Research Proceedings. Cham; 2018. doi:10.1007/978-3-319-89920-6_34'
apa: Hallmann, C., & Kuhlemann, S. (2018). Model Generator for Water Distribution
Systems. In Operations Research Proceedings. Cham. https://doi.org/10.1007/978-3-319-89920-6_34
bibtex: '@inbook{Hallmann_Kuhlemann_2018, place={Cham}, title={Model Generator for
Water Distribution Systems}, DOI={10.1007/978-3-319-89920-6_34},
booktitle={Operations Research Proceedings}, author={Hallmann, Corinna and Kuhlemann,
Stefan}, year={2018} }'
chicago: Hallmann, Corinna, and Stefan Kuhlemann. “Model Generator for Water Distribution
Systems.” In Operations Research Proceedings. Cham, 2018. https://doi.org/10.1007/978-3-319-89920-6_34.
ieee: C. Hallmann and S. Kuhlemann, “Model Generator for Water Distribution Systems,”
in Operations Research Proceedings, Cham, 2018.
mla: Hallmann, Corinna, and Stefan Kuhlemann. “Model Generator for Water Distribution
Systems.” Operations Research Proceedings, 2018, doi:10.1007/978-3-319-89920-6_34.
short: 'C. Hallmann, S. Kuhlemann, in: Operations Research Proceedings, Cham, 2018.'
date_created: 2019-11-08T08:27:37Z
date_updated: 2022-01-06T06:52:08Z
department:
- _id: '277'
doi: 10.1007/978-3-319-89920-6_34
language:
- iso: eng
place: Cham
publication: Operations Research Proceedings
publication_identifier:
isbn:
- '9783319899190'
- '9783319899206'
issn:
- 0721-5924
- 2197-9294
publication_status: published
status: public
title: Model Generator for Water Distribution Systems
type: book_chapter
user_id: '38910'
year: '2018'
...
---
_id: '5692'
abstract:
- lang: eng
text: We consider Max-min Share (MmS) fair allocations of indivisible chores (items
with negative utilities). We show that allocation of chores and classical allocation
of goods (items with positive utilities) have some fundamental connections but
also differences which prevent a straightforward application of algorithms for
goods in the chores setting and viceversa. We prove that an MmS allocation does
not need to exist for chores and computing an MmS allocation - if it exists -
is strongly NP-hard. In view of these non-existence and complexity results, we
present a polynomial-time 2-approximation algorithm for MmS fairness for chores.
We then introduce a new fairness concept called optimal MmS that represents the
best possible allocation in terms of MmS that is guaranteed to exist. We use connections
to parallel machine scheduling to give (1) a polynomial-time approximation scheme
for computing an optimal MmS allocation when the number of agents is fixed and
(2) an effective and efficient heuristic with an ex-post worst-case analysis.
author:
- first_name: Haris
full_name: Aziz, Haris
last_name: Aziz
- first_name: Gerhard
full_name: Rauchecker, Gerhard
last_name: Rauchecker
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Toby
full_name: Walsh, Toby
last_name: Walsh
citation:
ama: 'Aziz H, Rauchecker G, Schryen G, Walsh T. Algorithms for Max-Min Share Fair
Allocation of Indivisible Chores. In: Thirty-First AAAI Conference on Artificial
Intelligence (AAAI-17). Vol 31. ; 2017:1-7.'
apa: Aziz, H., Rauchecker, G., Schryen, G., & Walsh, T. (2017). Algorithms for
Max-Min Share Fair Allocation of Indivisible Chores. In Thirty-First AAAI Conference
on Artificial Intelligence (AAAI-17) (Vol. 31, pp. 1–7). San Francisco, CA,
USA.
bibtex: '@inproceedings{Aziz_Rauchecker_Schryen_Walsh_2017, title={Algorithms for
Max-Min Share Fair Allocation of Indivisible Chores}, volume={31}, number={1},
booktitle={Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)},
author={Aziz, Haris and Rauchecker, Gerhard and Schryen, Guido and Walsh, Toby},
year={2017}, pages={1–7} }'
chicago: Aziz, Haris, Gerhard Rauchecker, Guido Schryen, and Toby Walsh. “Algorithms
for Max-Min Share Fair Allocation of Indivisible Chores.” In Thirty-First AAAI
Conference on Artificial Intelligence (AAAI-17), 31:1–7, 2017.
ieee: H. Aziz, G. Rauchecker, G. Schryen, and T. Walsh, “Algorithms for Max-Min
Share Fair Allocation of Indivisible Chores,” in Thirty-First AAAI Conference
on Artificial Intelligence (AAAI-17), San Francisco, CA, USA, 2017, vol. 31,
no. 1, pp. 1–7.
mla: Aziz, Haris, et al. “Algorithms for Max-Min Share Fair Allocation of Indivisible
Chores.” Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17),
vol. 31, no. 1, 2017, pp. 1–7.
short: 'H. Aziz, G. Rauchecker, G. Schryen, T. Walsh, in: Thirty-First AAAI Conference
on Artificial Intelligence (AAAI-17), 2017, pp. 1–7.'
conference:
location: San Francisco, CA, USA
name: Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)
date_created: 2018-11-14T15:49:54Z
date_updated: 2022-01-06T07:02:35Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: closed
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:30:25Z
date_updated: 2021-08-13T13:55:29Z
file_id: '6024'
file_name: aziz_rauchecker_schryen_walsh.pdf
file_size: 732005
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2021-08-13T13:55:14Z
date_updated: 2021-08-13T13:55:14Z
file_id: '23394'
file_name: 10582-Article Text-14110-1-2-20201228.pdf
file_size: 738751
relation: main_file
file_date_updated: 2021-08-13T13:55:29Z
has_accepted_license: '1'
intvolume: ' 31'
issue: '1'
language:
- iso: eng
oa: '1'
page: 1-7
publication: Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17)
status: public
title: Algorithms for Max-Min Share Fair Allocation of Indivisible Chores
type: conference
user_id: '61579'
volume: 31
year: '2017'
...
---
_id: '5594'
abstract:
- lang: eng
text: Design science is a fundamental research stream that contends its position
in the information systems discipline. While ongoing debates address the relative
importance of design science contributions in the information systems community,
insights into the scientific impact of design science research (DSR) are missing
and this lack of understanding arguably poses challenges to an informed discourse.
To identify the most influential papers and those factors that explain their scientific
impact, this paper presents an exploratory study of the scientific impact of DSR
papers published in the AIS Senior Scholars' Basket of Journals. We uncover the
current DSR landscape by taking stock of influential papers and theories and develop
a model to explain the scientific impact of DSR papers. Our findings show that
scientific impact is significantly explained by theorization and novelty. We discuss
how the implications of our work can be projected on the overarching discourse
on DSR.
author:
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Wagner G, Prester J, Schryen G. Exploring the Scientific Impact of Information
Systems Design Science Research: A Scientometric Study. In: 38th International
Conference on Information Systems. ; 2017.'
apa: 'Wagner, G., Prester, J., & Schryen, G. (2017). Exploring the Scientific
Impact of Information Systems Design Science Research: A Scientometric Study.
In 38th International Conference on Information Systems. Seoul, South Korea.'
bibtex: '@inproceedings{Wagner_Prester_Schryen_2017, title={Exploring the Scientific
Impact of Information Systems Design Science Research: A Scientometric Study},
booktitle={38th International Conference on Information Systems}, author={Wagner,
Gerit and Prester, Julian and Schryen, Guido}, year={2017} }'
chicago: 'Wagner, Gerit, Julian Prester, and Guido Schryen. “Exploring the Scientific
Impact of Information Systems Design Science Research: A Scientometric Study.”
In 38th International Conference on Information Systems, 2017.'
ieee: 'G. Wagner, J. Prester, and G. Schryen, “Exploring the Scientific Impact of
Information Systems Design Science Research: A Scientometric Study,” in 38th
International Conference on Information Systems, Seoul, South Korea, 2017.'
mla: 'Wagner, Gerit, et al. “Exploring the Scientific Impact of Information Systems
Design Science Research: A Scientometric Study.” 38th International Conference
on Information Systems, 2017.'
short: 'G. Wagner, J. Prester, G. Schryen, in: 38th International Conference on
Information Systems, 2017.'
conference:
location: Seoul, South Korea
name: 38th International Conference on Information Systems
date_created: 2018-11-14T11:33:56Z
date_updated: 2022-01-06T07:02:05Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:31:37Z
date_updated: 2018-12-13T15:07:05Z
file_id: '6026'
file_name: ICIS2017-Revision.pdf
file_size: 223790
relation: main_file
file_date_updated: 2018-12-13T15:07:05Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: 38th International Conference on Information Systems
status: public
title: 'Exploring the Scientific Impact of Information Systems Design Science Research:
A Scientometric Study'
type: conference
user_id: '61579'
year: '2017'
...
---
_id: '5626'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Diana
full_name: Hristova, Diana
last_name: Hristova
citation:
ama: Schryen G, Hristova D. High-Performance Business Computing - Effizienzsteigerung
durch Parallelisierung. Smart Data Radar (Deutsche Bank). 2017.
apa: Schryen, G., & Hristova, D. (2017). High-Performance Business Computing
- Effizienzsteigerung durch Parallelisierung. Smart Data Radar (Deutsche Bank).
bibtex: '@article{Schryen_Hristova_2017, title={High-Performance Business Computing
- Effizienzsteigerung durch Parallelisierung}, journal={Smart Data Radar (Deutsche
Bank)}, author={Schryen, Guido and Hristova, Diana}, year={2017} }'
chicago: Schryen, Guido, and Diana Hristova. “High-Performance Business Computing
- Effizienzsteigerung Durch Parallelisierung.” Smart Data Radar (Deutsche Bank),
2017.
ieee: G. Schryen and D. Hristova, “High-Performance Business Computing - Effizienzsteigerung
durch Parallelisierung,” Smart Data Radar (Deutsche Bank), 2017.
mla: Schryen, Guido, and Diana Hristova. “High-Performance Business Computing -
Effizienzsteigerung Durch Parallelisierung.” Smart Data Radar (Deutsche Bank),
2017.
short: G. Schryen, D. Hristova, Smart Data Radar (Deutsche Bank) (2017).
date_created: 2018-11-14T14:17:44Z
date_updated: 2022-01-06T07:02:13Z
department:
- _id: '277'
extern: '1'
language:
- iso: eng
publication: Smart Data Radar (Deutsche Bank)
status: public
title: High-Performance Business Computing - Effizienzsteigerung durch Parallelisierung
type: journal_article
user_id: '61579'
year: '2017'
...
---
_id: '5633'
abstract:
- lang: eng
text: 'Literature reviews (LRs) are recognized for their increasing impact in the
information systems literature. Methodologists have drawn attention to the question
of how we can leverage the value of LRs to preserve and generate knowledge. The
panelists who participated in the discussion of ?Standalone Literature Reviews
in IS Research: What Can Be Learnt from the Past and Other Fields?? at ICIS 2016
in Dublin acknowledged this significant issue and debated a) what the IS field
can learn from other fields and where IS-specific challenges occur, b) how the
IS field should move forward to foster the genre of LRs, and c) what best practices
are to train doctoral IS students in publishing LRs. This article reports the
key takeaways of this panel discussion. Guidance for IS scholars is provided on
how to conduct LRs that contribute to the cumulative knowledge development within
and across the IS field to best prepare the next generation of IS scholars.'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Frantz
full_name: Rowe, Frantz
last_name: Rowe
- first_name: Gregor
full_name: Shirley, Gregor
last_name: Shirley
- first_name: Kai
full_name: Larsen, Kai
last_name: Larsen
- first_name: Stacie
full_name: Petter, Stacie
last_name: Petter
- first_name: Guy
full_name: Par{\'e}, Guy
last_name: Par{\'e}
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Steffi
full_name: Haag, Steffi
last_name: Haag
- first_name: Emrah
full_name: Yasasin, Emrah
last_name: Yasasin
citation:
ama: 'Schryen G, Benlian A, Rowe F, et al. Literature Reviews in IS Research: What
Can Be Learnt from the Past and Other Fields? Communications of the AIS.
2017;40:557-569.'
apa: 'Schryen, G., Benlian, A., Rowe, F., Shirley, G., Larsen, K., Petter, S., …
Yasasin, E. (2017). Literature Reviews in IS Research: What Can Be Learnt from
the Past and Other Fields? Communications of the AIS, 40, 557–569.'
bibtex: '@article{Schryen_Benlian_Rowe_Shirley_Larsen_Petter_Par{\’e}_Wagner_Haag_Yasasin_2017,
title={Literature Reviews in IS Research: What Can Be Learnt from the Past and
Other Fields?}, volume={40}, journal={Communications of the AIS}, publisher={Association
for Information Systems (AIS)}, author={Schryen, Guido and Benlian, Alexander
and Rowe, Frantz and Shirley, Gregor and Larsen, Kai and Petter, Stacie and Par{\’e},
Guy and Wagner, Gerit and Haag, Steffi and Yasasin, Emrah}, year={2017}, pages={557–569}
}'
chicago: 'Schryen, Guido, Alexander Benlian, Frantz Rowe, Gregor Shirley, Kai Larsen,
Stacie Petter, Guy Par{\’e}, Gerit Wagner, Steffi Haag, and Emrah Yasasin. “Literature
Reviews in IS Research: What Can Be Learnt from the Past and Other Fields?” Communications
of the AIS 40 (2017): 557–69.'
ieee: 'G. Schryen et al., “Literature Reviews in IS Research: What Can Be
Learnt from the Past and Other Fields?,” Communications of the AIS, vol.
40, pp. 557–569, 2017.'
mla: 'Schryen, Guido, et al. “Literature Reviews in IS Research: What Can Be Learnt
from the Past and Other Fields?” Communications of the AIS, vol. 40, Association
for Information Systems (AIS), 2017, pp. 557–69.'
short: G. Schryen, A. Benlian, F. Rowe, G. Shirley, K. Larsen, S. Petter, G. Par{\’e},
G. Wagner, S. Haag, E. Yasasin, Communications of the AIS 40 (2017) 557–569.
date_created: 2018-11-14T14:25:40Z
date_updated: 2022-01-06T07:02:14Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:33:59Z
date_updated: 2018-12-13T15:07:15Z
file_id: '6027'
file_name: Schryen et al. (forthcoming), Literature Reviews in IS Research, What
Can Be Learnt from the Past and Other Fields, Communications of th.pdf
file_size: 361850
relation: main_file
file_date_updated: 2018-12-13T15:07:15Z
has_accepted_license: '1'
intvolume: ' 40'
keyword:
- Literature Review
- Review Methodology
- Research Methodology
- Doctoral Training
language:
- iso: eng
oa: '1'
page: 557 - 569
publication: Communications of the AIS
publication_identifier:
issn:
- 1529-3181
publisher: Association for Information Systems (AIS)
status: public
title: 'Literature Reviews in IS Research: What Can Be Learnt from the Past and Other
Fields?'
type: journal_article
user_id: '61579'
volume: 40
year: '2017'
...
---
_id: '5671'
abstract:
- lang: eng
text: Multi-attribute value theory (MAVT)-based recommender systems have been proposed
for dealing with issues of existing recommender systems, such as the cold-start
problem and changing preferences. However, as we argue in this paper, existing
MAVT-based methods for measuring attribute importance weights do not fit the shopping
tasks for which recommender systems are typically used. These methods assume well-trained
decision makers who are willing to invest time and cognitive effort, and who are
familiar with the attributes describing the available alternatives and the ranges
of these attribute levels. Yet, recommender systems are most often used by consumers
who are usually not familiar with the available attributes and ranges and who
wish to save time and effort. Against this background, we develop a new method,
based on a product configuration process, which is tailored to the characteristics
of these particular decision makers. We empirically compare our method to SWING,
ranking-based conjoint analysis and TRADEOFF in a between-subjects laboratory
experiment with 153 participants. Results indicate that our proposed method performs
better than TRADEOFF and CONJOINT and at least as well as SWING in terms of recommendation
accuracy, better than SWING and TRADEOFF and at least as well as CONJOINT in terms
of cognitive load, and that participants were faster with our method than with
any other method. We conclude that our method is a promising option to help support
consumers' decision processes in e-commerce shopping tasks.
author:
- first_name: Michael
full_name: Scholz, Michael
last_name: Scholz
- first_name: Verena
full_name: Dorner, Verena
last_name: Dorner
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
citation:
ama: Scholz M, Dorner V, Schryen G, Benlian A. A configuration-based recommender
system for supporting e-commerce decisions. European Journal of Operational
Research. 2017;259(1):205-215.
apa: Scholz, M., Dorner, V., Schryen, G., & Benlian, A. (2017). A configuration-based
recommender system for supporting e-commerce decisions. European Journal of
Operational Research, 259(1), 205–215.
bibtex: '@article{Scholz_Dorner_Schryen_Benlian_2017, title={A configuration-based
recommender system for supporting e-commerce decisions}, volume={259}, number={1},
journal={European Journal of Operational Research}, publisher={Elsevier}, author={Scholz,
Michael and Dorner, Verena and Schryen, Guido and Benlian, Alexander}, year={2017},
pages={205–215} }'
chicago: 'Scholz, Michael, Verena Dorner, Guido Schryen, and Alexander Benlian.
“A Configuration-Based Recommender System for Supporting e-Commerce Decisions.”
European Journal of Operational Research 259, no. 1 (2017): 205–15.'
ieee: M. Scholz, V. Dorner, G. Schryen, and A. Benlian, “A configuration-based recommender
system for supporting e-commerce decisions,” European Journal of Operational
Research, vol. 259, no. 1, pp. 205–215, 2017.
mla: Scholz, Michael, et al. “A Configuration-Based Recommender System for Supporting
e-Commerce Decisions.” European Journal of Operational Research, vol. 259,
no. 1, Elsevier, 2017, pp. 205–15.
short: M. Scholz, V. Dorner, G. Schryen, A. Benlian, European Journal of Operational
Research 259 (2017) 205–215.
date_created: 2018-11-14T15:06:18Z
date_updated: 2022-01-06T07:02:27Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:30:59Z
date_updated: 2018-12-13T15:06:56Z
file_id: '6025'
file_name: EJOR article.pdf
file_size: 762889
relation: main_file
file_date_updated: 2018-12-13T15:06:56Z
has_accepted_license: '1'
intvolume: ' 259'
issue: '1'
keyword:
- E-Commerce
- Recommender System
- Attribute Weights
- Configuration System
- Decision Support
language:
- iso: eng
oa: '1'
page: 205 - 215
publication: European Journal of Operational Research
publisher: Elsevier
status: public
title: A configuration-based recommender system for supporting e-commerce decisions
type: journal_article
user_id: '61579'
volume: 259
year: '2017'
...
---
_id: '14857'
author:
- first_name: Michaela
full_name: Beckschäfer, Michaela
id: '32439'
last_name: Beckschäfer
- first_name: Simon
full_name: Malberg, Simon
last_name: Malberg
- first_name: Kevin
full_name: Tierney, Kevin
last_name: Tierney
- first_name: Christoph
full_name: Weskamp, Christoph
last_name: Weskamp
citation:
ama: 'Beckschäfer M, Malberg S, Tierney K, Weskamp C. Simulating Storage Policies
for an Automated Grid-Based Warehouse System. In: Lecture Notes in Computer
Science. Cham; 2017. doi:10.1007/978-3-319-68496-3_31'
apa: Beckschäfer, M., Malberg, S., Tierney, K., & Weskamp, C. (2017). Simulating
Storage Policies for an Automated Grid-Based Warehouse System. In Lecture Notes
in Computer Science. Cham. https://doi.org/10.1007/978-3-319-68496-3_31
bibtex: '@inbook{Beckschäfer_Malberg_Tierney_Weskamp_2017, place={Cham}, title={Simulating
Storage Policies for an Automated Grid-Based Warehouse System}, DOI={10.1007/978-3-319-68496-3_31},
booktitle={Lecture Notes in Computer Science}, author={Beckschäfer, Michaela and
Malberg, Simon and Tierney, Kevin and Weskamp, Christoph}, year={2017} }'
chicago: Beckschäfer, Michaela, Simon Malberg, Kevin Tierney, and Christoph Weskamp.
“Simulating Storage Policies for an Automated Grid-Based Warehouse System.” In
Lecture Notes in Computer Science. Cham, 2017. https://doi.org/10.1007/978-3-319-68496-3_31.
ieee: M. Beckschäfer, S. Malberg, K. Tierney, and C. Weskamp, “Simulating Storage
Policies for an Automated Grid-Based Warehouse System,” in Lecture Notes in
Computer Science, Cham, 2017.
mla: Beckschäfer, Michaela, et al. “Simulating Storage Policies for an Automated
Grid-Based Warehouse System.” Lecture Notes in Computer Science, 2017,
doi:10.1007/978-3-319-68496-3_31.
short: 'M. Beckschäfer, S. Malberg, K. Tierney, C. Weskamp, in: Lecture Notes in
Computer Science, Cham, 2017.'
date_created: 2019-11-08T08:15:11Z
date_updated: 2022-01-06T06:52:08Z
department:
- _id: '277'
doi: 10.1007/978-3-319-68496-3_31
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783319684956'
- '9783319684963'
issn:
- 0302-9743
- 1611-3349
publication_status: published
status: public
title: Simulating Storage Policies for an Automated Grid-Based Warehouse System
type: book_chapter
user_id: '1112'
year: '2017'
...
---
_id: '5676'
author:
- first_name: Gerhard
full_name: Rauchecker, Gerhard
last_name: Rauchecker
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Rauchecker G, Schryen G. Projekt KUBAS: Koordination ungebundener Vor-Ort-Helfer.
Im Einsatz. 2016;23:44-46.'
apa: 'Rauchecker, G., & Schryen, G. (2016). Projekt KUBAS: Koordination ungebundener
Vor-Ort-Helfer. Im Einsatz, 23, 44–46.'
bibtex: '@article{Rauchecker_Schryen_2016, title={Projekt KUBAS: Koordination ungebundener
Vor-Ort-Helfer}, volume={23}, journal={Im Einsatz}, publisher={Stumpf & Kossendey},
author={Rauchecker, Gerhard and Schryen, Guido}, year={2016}, pages={44–46} }'
chicago: 'Rauchecker, Gerhard, and Guido Schryen. “Projekt KUBAS: Koordination Ungebundener
Vor-Ort-Helfer.” Im Einsatz 23 (2016): 44–46.'
ieee: 'G. Rauchecker and G. Schryen, “Projekt KUBAS: Koordination ungebundener Vor-Ort-Helfer,”
Im Einsatz, vol. 23, pp. 44–46, 2016.'
mla: 'Rauchecker, Gerhard, and Guido Schryen. “Projekt KUBAS: Koordination Ungebundener
Vor-Ort-Helfer.” Im Einsatz, vol. 23, Stumpf & Kossendey, 2016, pp.
44–46.'
short: G. Rauchecker, G. Schryen, Im Einsatz 23 (2016) 44–46.
date_created: 2018-11-14T15:36:29Z
date_updated: 2022-01-06T07:02:29Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:37:52Z
date_updated: 2018-12-13T15:07:24Z
file_id: '6028'
file_name: 44-46_Rauchecker_IE_5-2016.pdf
file_size: 1068832
relation: main_file
file_date_updated: 2018-12-13T15:07:24Z
has_accepted_license: '1'
intvolume: ' 23'
language:
- iso: eng
oa: '1'
page: 44-46
publication: Im Einsatz
publisher: Stumpf & Kossendey
status: public
title: 'Projekt KUBAS: Koordination ungebundener Vor-Ort-Helfer'
type: journal_article
user_id: '61579'
volume: 23
year: '2016'
...
---
_id: '5595'
author:
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Maria
full_name: Roche, Maria
last_name: Roche
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Wagner G, Prester J, Roche M, Benlian A, Schryen G. Factors Affecting the
Scientific Impact of Literature Reviews: A Scientometric Study. In: International
Conference on Information Systems. ; 2016.'
apa: 'Wagner, G., Prester, J., Roche, M., Benlian, A., & Schryen, G. (2016).
Factors Affecting the Scientific Impact of Literature Reviews: A Scientometric
Study. In International Conference on Information Systems.'
bibtex: '@inproceedings{Wagner_Prester_Roche_Benlian_Schryen_2016, title={Factors
Affecting the Scientific Impact of Literature Reviews: A Scientometric Study},
booktitle={International Conference on Information Systems}, author={Wagner, Gerit
and Prester, Julian and Roche, Maria and Benlian, Alexander and Schryen, Guido},
year={2016} }'
chicago: 'Wagner, Gerit, Julian Prester, Maria Roche, Alexander Benlian, and Guido
Schryen. “Factors Affecting the Scientific Impact of Literature Reviews: A Scientometric
Study.” In International Conference on Information Systems, 2016.'
ieee: 'G. Wagner, J. Prester, M. Roche, A. Benlian, and G. Schryen, “Factors Affecting
the Scientific Impact of Literature Reviews: A Scientometric Study,” in International
Conference on Information Systems, 2016.'
mla: 'Wagner, Gerit, et al. “Factors Affecting the Scientific Impact of Literature
Reviews: A Scientometric Study.” International Conference on Information Systems,
2016.'
short: 'G. Wagner, J. Prester, M. Roche, A. Benlian, G. Schryen, in: International
Conference on Information Systems, 2016.'
date_created: 2018-11-14T11:34:31Z
date_updated: 2022-01-06T07:02:05Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:38:41Z
date_updated: 2018-12-13T15:08:15Z
file_id: '6030'
file_name: ICIS2016 - Factors Affecting the Scientific Impact of Literature Reviews.pdf
file_size: 725409
relation: main_file
file_date_updated: 2018-12-13T15:08:15Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: International Conference on Information Systems
status: public
title: 'Factors Affecting the Scientific Impact of Literature Reviews: A Scientometric
Study'
type: conference
user_id: '61579'
year: '2016'
...
---
_id: '5617'
abstract:
- lang: eng
text: CAPTCHAs are challenge-response tests that aim at preventing unwanted machines,
including bots, from accessing web services while providing easy access for humans.
Recent advances in artificial-intelligence based attacks show that the level of
security provided by many state-of-the-art text-based CAPTCHAs is declining. At
the same time, techniques for distorting and obscuring the text, which are used
to maintain the level of security, make text-based CAPTCHAs diffcult to solve
for humans, and thereby further degrade usability. The need for developing alternative
types of CAPTCHAs which improve both, the current security and usability levels,
has been emphasized by several researchers. With this study, we contribute to
research through (1) the development of two new face recognition CAPTCHAs (Farett-Gender
and Farett-Gender&Age), (2) the security analysis of both procedures, and (3)
the provision of empirical evidence that one of the suggested CAPTCHAs (Farett-Gender)
is similar to Google's reCAPTCHA and better than KCAPTCHA concerning effectiveness
(error rates), superior to both regarding learnability and satisfaction but not
effciency.
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Alexander
full_name: Schlegel, Alexander
last_name: Schlegel
citation:
ama: 'Schryen G, Wagner G, Schlegel A. Development of two novel face-recognition
CAPTCHAs: a security and usability study. Computers & Security. 2016;60(July):95-116.'
apa: 'Schryen, G., Wagner, G., & Schlegel, A. (2016). Development of two novel
face-recognition CAPTCHAs: a security and usability study. Computers &
Security, 60(July), 95–116.'
bibtex: '@article{Schryen_Wagner_Schlegel_2016, title={Development of two novel
face-recognition CAPTCHAs: a security and usability study}, volume={60}, number={July},
journal={Computers & Security}, publisher={Elsevier}, author={Schryen, Guido
and Wagner, Gerit and Schlegel, Alexander}, year={2016}, pages={95–116} }'
chicago: 'Schryen, Guido, Gerit Wagner, and Alexander Schlegel. “Development of
Two Novel Face-Recognition CAPTCHAs: A Security and Usability Study.” Computers
& Security 60, no. July (2016): 95–116.'
ieee: 'G. Schryen, G. Wagner, and A. Schlegel, “Development of two novel face-recognition
CAPTCHAs: a security and usability study,” Computers & Security, vol.
60, no. July, pp. 95–116, 2016.'
mla: 'Schryen, Guido, et al. “Development of Two Novel Face-Recognition CAPTCHAs:
A Security and Usability Study.” Computers & Security, vol. 60, no.
July, Elsevier, 2016, pp. 95–116.'
short: G. Schryen, G. Wagner, A. Schlegel, Computers & Security 60 (2016) 95–116.
date_created: 2018-11-14T14:00:47Z
date_updated: 2022-01-06T07:02:10Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:38:19Z
date_updated: 2018-12-13T15:07:36Z
file_id: '6029'
file_name: cose_991_final.pdf
file_size: 2983143
relation: main_file
file_date_updated: 2018-12-13T15:07:36Z
has_accepted_license: '1'
intvolume: ' 60'
issue: July
keyword:
- CAPTCHA
- Usability
- Facial features
- Gender classiffcation
- Age classification
- Face recognition reverse Turing test
language:
- iso: eng
oa: '1'
page: 95-116
publication: Computers & Security
publisher: Elsevier
status: public
title: 'Development of two novel face-recognition CAPTCHAs: a security and usability
study'
type: journal_article
user_id: '61579'
volume: 60
year: '2016'
...
---
_id: '5678'
abstract:
- lang: eng
text: Many academic disciplines - including information systems, computer science,
and operations management - face scheduling problems as important decision making
tasks. Since many scheduling problems are NP-hard in the strong sense, there is
a need for developing solution heuristics. For scheduling problems with setup
times on unrelated parallel machines, there is limited research on solution methods
and to the best of our knowledge, parallel computer architectures have not yet
been taken advantage of. We address this gap by proposing and implementing a new
solution heuristic and by testing different parallelization strategies. In our
computational experiments, we show that our heuristic calculates near-optimal
solutions even for large instances and that computing time can be reduced substantially
by our parallelization approach.
author:
- first_name: Gerhard
full_name: Rauchecker, Gerhard
last_name: Rauchecker
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Rauchecker G, Schryen G. High-Performance Computing for Scheduling Decision
Support: A Parallel Depth-First Search Heuristic. In: Australasian Conference
on Information Systems. ; 2015:1-13.'
apa: 'Rauchecker, G., & Schryen, G. (2015). High-Performance Computing for Scheduling
Decision Support: A Parallel Depth-First Search Heuristic. In Australasian
Conference on Information Systems (pp. 1–13).'
bibtex: '@inproceedings{Rauchecker_Schryen_2015, title={High-Performance Computing
for Scheduling Decision Support: A Parallel Depth-First Search Heuristic}, booktitle={Australasian
Conference on Information Systems}, author={Rauchecker, Gerhard and Schryen, Guido},
year={2015}, pages={1–13} }'
chicago: 'Rauchecker, Gerhard, and Guido Schryen. “High-Performance Computing for
Scheduling Decision Support: A Parallel Depth-First Search Heuristic.” In Australasian
Conference on Information Systems, 1–13, 2015.'
ieee: 'G. Rauchecker and G. Schryen, “High-Performance Computing for Scheduling
Decision Support: A Parallel Depth-First Search Heuristic,” in Australasian
Conference on Information Systems, 2015, pp. 1–13.'
mla: 'Rauchecker, Gerhard, and Guido Schryen. “High-Performance Computing for Scheduling
Decision Support: A Parallel Depth-First Search Heuristic.” Australasian Conference
on Information Systems, 2015, pp. 1–13.'
short: 'G. Rauchecker, G. Schryen, in: Australasian Conference on Information Systems,
2015, pp. 1–13.'
date_created: 2018-11-14T15:39:50Z
date_updated: 2022-01-06T07:02:30Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:40:18Z
date_updated: 2018-12-13T15:08:28Z
file_id: '6031'
file_name: ACIS_2015_paper_7.pdf
file_size: 6771871
relation: main_file
file_date_updated: 2018-12-13T15:08:28Z
has_accepted_license: '1'
keyword:
- scheduling
- decision support
- heuristic
- high performance computing
- parallel algorithms
language:
- iso: eng
oa: '1'
page: 1-13
publication: Australasian Conference on Information Systems
status: public
title: 'High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First
Search Heuristic'
type: conference
user_id: '61579'
year: '2015'
...
---
_id: '5679'
abstract:
- lang: eng
text: Cloud computing promises the flexible delivery of computing services in a
pay-as-you-go manner. It allows customers to easily scale their infrastructure
and save on the overall cost of operation. However Cloud service offerings can
only thrive if customers are satisfied with service performance. Allow-ing instantaneous
access and flexible scaling while maintaining the service levels and offering
competitive prices poses a significant challenge to Cloud Computing providers.
Furthermore services will remain available in the long run only if this business
generates a stable revenue stream. To address these challenges we introduce novel
policy-based service admission control mod-els that aim at maximizing the revenue
of Cloud providers while taking in-formational uncertainty regarding resource
requirements into account. Our evaluation shows that policy-based approaches statistically
significantly out-perform first come first serve approaches, which are still state
of the art. Furthermore the results give insights in how and to what extent uncertainty
has a negative impact on revenue.
author:
- first_name: Tim
full_name: Püschel, Tim
last_name: Püschel
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Diana
full_name: Hristova, Diana
last_name: Hristova
- first_name: Dirk
full_name: Neumann, Dirk
last_name: Neumann
citation:
ama: 'Püschel T, Schryen G, Hristova D, Neumann D. Revenue Management for Cloud
Computing Providers: Decision Models for Service Admission Control under Non-probabilistic
Uncertainty. European Journal of Operational Research. 2015;244(2):637-647.'
apa: 'Püschel, T., Schryen, G., Hristova, D., & Neumann, D. (2015). Revenue
Management for Cloud Computing Providers: Decision Models for Service Admission
Control under Non-probabilistic Uncertainty. European Journal of Operational
Research, 244(2), 637–647.'
bibtex: '@article{Püschel_Schryen_Hristova_Neumann_2015, title={Revenue Management
for Cloud Computing Providers: Decision Models for Service Admission Control under
Non-probabilistic Uncertainty}, volume={244}, number={2}, journal={European Journal
of Operational Research}, publisher={Elsevier}, author={Püschel, Tim and Schryen,
Guido and Hristova, Diana and Neumann, Dirk}, year={2015}, pages={637–647} }'
chicago: 'Püschel, Tim, Guido Schryen, Diana Hristova, and Dirk Neumann. “Revenue
Management for Cloud Computing Providers: Decision Models for Service Admission
Control under Non-Probabilistic Uncertainty.” European Journal of Operational
Research 244, no. 2 (2015): 637–47.'
ieee: 'T. Püschel, G. Schryen, D. Hristova, and D. Neumann, “Revenue Management
for Cloud Computing Providers: Decision Models for Service Admission Control under
Non-probabilistic Uncertainty,” European Journal of Operational Research,
vol. 244, no. 2, pp. 637–647, 2015.'
mla: 'Püschel, Tim, et al. “Revenue Management for Cloud Computing Providers: Decision
Models for Service Admission Control under Non-Probabilistic Uncertainty.” European
Journal of Operational Research, vol. 244, no. 2, Elsevier, 2015, pp. 637–47.'
short: T. Püschel, G. Schryen, D. Hristova, D. Neumann, European Journal of Operational
Research 244 (2015) 637–647.
date_created: 2018-11-14T15:40:13Z
date_updated: 2022-01-06T07:02:30Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:44:10Z
date_updated: 2018-12-13T15:09:12Z
file_id: '6036'
file_name: ELSEVIER_JOURNAL_VERSION.pdf
file_size: 1270024
relation: main_file
file_date_updated: 2018-12-13T15:09:12Z
has_accepted_license: '1'
intvolume: ' 244'
issue: '2'
keyword:
- admission control
- informational uncertainty
- revenue management
- cloud computing
language:
- iso: eng
oa: '1'
page: 637-647
publication: European Journal of Operational Research
publisher: Elsevier
status: public
title: 'Revenue Management for Cloud Computing Providers: Decision Models for Service
Admission Control under Non-probabilistic Uncertainty'
type: journal_article
user_id: '61579'
volume: 244
year: '2015'
...