---
_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: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={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: 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: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: 2026-03-12T13:44:38Z
ddc:
- '000'
department:
- _id: '277'
- _id: '196'
- _id: '646'
- _id: '526'
- _id: '198'
- _id: '792'
- _id: '276'
- _id: '681'
doi: 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: '16205'
volume: 65
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: '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: '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'
...