---
_id: '53248'
author:
- first_name: Ali
full_name: Ebrahimnejad, Ali
last_name: Ebrahimnejad
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Vincent
full_name: Charles, Vincent
last_name: Charles
citation:
ama: 'Ebrahimnejad A, Tavana M, Charles V. Analytics under uncertainty: a novel
method for solving linear programming problems with trapezoidal fuzzy variables.
Soft Computing. 2022;26(1):327-347. doi:10.1007/s00500-021-06389-7'
apa: 'Ebrahimnejad, A., Tavana, M., & Charles, V. (2022). Analytics under uncertainty:
a novel method for solving linear programming problems with trapezoidal fuzzy
variables. Soft Computing, 26(1), 327–347. https://doi.org/10.1007/s00500-021-06389-7'
bibtex: '@article{Ebrahimnejad_Tavana_Charles_2022, title={Analytics under uncertainty:
a novel method for solving linear programming problems with trapezoidal fuzzy
variables}, volume={26}, DOI={10.1007/s00500-021-06389-7},
number={1}, journal={Soft Computing}, publisher={Springer Science and Business
Media LLC}, author={Ebrahimnejad, Ali and Tavana, Madjid and Charles, Vincent},
year={2022}, pages={327–347} }'
chicago: 'Ebrahimnejad, Ali, Madjid Tavana, and Vincent Charles. “Analytics under
Uncertainty: A Novel Method for Solving Linear Programming Problems with Trapezoidal
Fuzzy Variables.” Soft Computing 26, no. 1 (2022): 327–47. https://doi.org/10.1007/s00500-021-06389-7.'
ieee: 'A. Ebrahimnejad, M. Tavana, and V. Charles, “Analytics under uncertainty:
a novel method for solving linear programming problems with trapezoidal fuzzy
variables,” Soft Computing, vol. 26, no. 1, pp. 327–347, 2022, doi: 10.1007/s00500-021-06389-7.'
mla: 'Ebrahimnejad, Ali, et al. “Analytics under Uncertainty: A Novel Method for
Solving Linear Programming Problems with Trapezoidal Fuzzy Variables.” Soft
Computing, vol. 26, no. 1, Springer Science and Business Media LLC, 2022,
pp. 327–47, doi:10.1007/s00500-021-06389-7.'
short: A. Ebrahimnejad, M. Tavana, V. Charles, Soft Computing 26 (2022) 327–347.
date_created: 2024-04-04T15:57:26Z
date_updated: 2024-04-15T13:18:58Z
department:
- _id: '277'
doi: 10.1007/s00500-021-06389-7
intvolume: ' 26'
issue: '1'
language:
- iso: eng
page: 327-347
publication: Soft Computing
publication_identifier:
issn:
- 1432-7643
- 1433-7479
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Analytics under uncertainty: a novel method for solving linear programming
problems with trapezoidal fuzzy variables'
type: journal_article
user_id: '51811'
volume: 26
year: '2022'
...
---
_id: '53243'
article_number: '101156'
author:
- first_name: Amin
full_name: Vafadarnikjoo, Amin
last_name: Vafadarnikjoo
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Konstantinos
full_name: Chalvatzis, Konstantinos
last_name: Chalvatzis
- first_name: Tiago
full_name: Botelho, Tiago
last_name: Botelho
citation:
ama: Vafadarnikjoo A, Tavana M, Chalvatzis K, Botelho T. A socio-economic and environmental
vulnerability assessment model with causal relationships in electric power supply
chains. Socio-Economic Planning Sciences. 2022;80. doi:10.1016/j.seps.2021.101156
apa: Vafadarnikjoo, A., Tavana, M., Chalvatzis, K., & Botelho, T. (2022). A
socio-economic and environmental vulnerability assessment model with causal relationships
in electric power supply chains. Socio-Economic Planning Sciences, 80,
Article 101156. https://doi.org/10.1016/j.seps.2021.101156
bibtex: '@article{Vafadarnikjoo_Tavana_Chalvatzis_Botelho_2022, title={A socio-economic
and environmental vulnerability assessment model with causal relationships in
electric power supply chains}, volume={80}, DOI={10.1016/j.seps.2021.101156},
number={101156}, journal={Socio-Economic Planning Sciences}, publisher={Elsevier
BV}, author={Vafadarnikjoo, Amin and Tavana, Madjid and Chalvatzis, Konstantinos
and Botelho, Tiago}, year={2022} }'
chicago: Vafadarnikjoo, Amin, Madjid Tavana, Konstantinos Chalvatzis, and Tiago
Botelho. “A Socio-Economic and Environmental Vulnerability Assessment Model with
Causal Relationships in Electric Power Supply Chains.” Socio-Economic Planning
Sciences 80 (2022). https://doi.org/10.1016/j.seps.2021.101156.
ieee: 'A. Vafadarnikjoo, M. Tavana, K. Chalvatzis, and T. Botelho, “A socio-economic
and environmental vulnerability assessment model with causal relationships in
electric power supply chains,” Socio-Economic Planning Sciences, vol. 80,
Art. no. 101156, 2022, doi: 10.1016/j.seps.2021.101156.'
mla: Vafadarnikjoo, Amin, et al. “A Socio-Economic and Environmental Vulnerability
Assessment Model with Causal Relationships in Electric Power Supply Chains.” Socio-Economic
Planning Sciences, vol. 80, 101156, Elsevier BV, 2022, doi:10.1016/j.seps.2021.101156.
short: A. Vafadarnikjoo, M. Tavana, K. Chalvatzis, T. Botelho, Socio-Economic Planning
Sciences 80 (2022).
date_created: 2024-04-04T15:53:19Z
date_updated: 2024-04-15T13:17:47Z
department:
- _id: '277'
doi: 10.1016/j.seps.2021.101156
intvolume: ' 80'
language:
- iso: eng
publication: Socio-Economic Planning Sciences
publication_identifier:
issn:
- 0038-0121
publication_status: published
publisher: Elsevier BV
status: public
title: A socio-economic and environmental vulnerability assessment model with causal
relationships in electric power supply chains
type: journal_article
user_id: '51811'
volume: 80
year: '2022'
...
---
_id: '53250'
author:
- first_name: Debora
full_name: Di Caprio, Debora
last_name: Di Caprio
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
citation:
ama: Di Caprio D, Santos-Arteaga FJ, Tavana M. A new algorithm for modeling online
search behavior and studying ranking reliability variations. Applied Intelligence.
2022;52(7):7529-7549. doi:10.1007/s10489-021-02856-8
apa: Di Caprio, D., Santos-Arteaga, F. J., & Tavana, M. (2022). A new algorithm
for modeling online search behavior and studying ranking reliability variations.
Applied Intelligence, 52(7), 7529–7549. https://doi.org/10.1007/s10489-021-02856-8
bibtex: '@article{Di Caprio_Santos-Arteaga_Tavana_2022, title={A new algorithm for
modeling online search behavior and studying ranking reliability variations},
volume={52}, DOI={10.1007/s10489-021-02856-8},
number={7}, journal={Applied Intelligence}, publisher={Springer Science and Business
Media LLC}, author={Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana,
Madjid}, year={2022}, pages={7529–7549} }'
chicago: 'Di Caprio, Debora, Francisco J. Santos-Arteaga, and Madjid Tavana. “A
New Algorithm for Modeling Online Search Behavior and Studying Ranking Reliability
Variations.” Applied Intelligence 52, no. 7 (2022): 7529–49. https://doi.org/10.1007/s10489-021-02856-8.'
ieee: 'D. Di Caprio, F. J. Santos-Arteaga, and M. Tavana, “A new algorithm for modeling
online search behavior and studying ranking reliability variations,” Applied
Intelligence, vol. 52, no. 7, pp. 7529–7549, 2022, doi: 10.1007/s10489-021-02856-8.'
mla: Di Caprio, Debora, et al. “A New Algorithm for Modeling Online Search Behavior
and Studying Ranking Reliability Variations.” Applied Intelligence, vol.
52, no. 7, Springer Science and Business Media LLC, 2022, pp. 7529–49, doi:10.1007/s10489-021-02856-8.
short: D. Di Caprio, F.J. Santos-Arteaga, M. Tavana, Applied Intelligence 52 (2022)
7529–7549.
date_created: 2024-04-04T15:59:07Z
date_updated: 2024-04-15T13:19:28Z
department:
- _id: '277'
doi: 10.1007/s10489-021-02856-8
intvolume: ' 52'
issue: '7'
language:
- iso: eng
page: 7529-7549
publication: Applied Intelligence
publication_identifier:
issn:
- 0924-669X
- 1573-7497
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: A new algorithm for modeling online search behavior and studying ranking reliability
variations
type: journal_article
user_id: '51811'
volume: 52
year: '2022'
...
---
_id: '53244'
article_number: '116352'
author:
- first_name: Debora
full_name: Di Caprio, Debora
last_name: Di Caprio
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
citation:
ama: Di Caprio D, Santos-Arteaga FJ, Tavana M. An information retrieval benchmarking
model of satisficing and impatient users’ behavior in online search environments.
Expert Systems with Applications. 2022;191. doi:10.1016/j.eswa.2021.116352
apa: Di Caprio, D., Santos-Arteaga, F. J., & Tavana, M. (2022). An information
retrieval benchmarking model of satisficing and impatient users’ behavior in online
search environments. Expert Systems with Applications, 191, Article
116352. https://doi.org/10.1016/j.eswa.2021.116352
bibtex: '@article{Di Caprio_Santos-Arteaga_Tavana_2022, title={An information retrieval
benchmarking model of satisficing and impatient users’ behavior in online search
environments}, volume={191}, DOI={10.1016/j.eswa.2021.116352},
number={116352}, journal={Expert Systems with Applications}, publisher={Elsevier
BV}, author={Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid},
year={2022} }'
chicago: Di Caprio, Debora, Francisco J. Santos-Arteaga, and Madjid Tavana. “An
Information Retrieval Benchmarking Model of Satisficing and Impatient Users’ Behavior
in Online Search Environments.” Expert Systems with Applications 191 (2022).
https://doi.org/10.1016/j.eswa.2021.116352.
ieee: 'D. Di Caprio, F. J. Santos-Arteaga, and M. Tavana, “An information retrieval
benchmarking model of satisficing and impatient users’ behavior in online search
environments,” Expert Systems with Applications, vol. 191, Art. no. 116352,
2022, doi: 10.1016/j.eswa.2021.116352.'
mla: Di Caprio, Debora, et al. “An Information Retrieval Benchmarking Model of Satisficing
and Impatient Users’ Behavior in Online Search Environments.” Expert Systems
with Applications, vol. 191, 116352, Elsevier BV, 2022, doi:10.1016/j.eswa.2021.116352.
short: D. Di Caprio, F.J. Santos-Arteaga, M. Tavana, Expert Systems with Applications
191 (2022).
date_created: 2024-04-04T15:54:28Z
date_updated: 2024-04-15T13:18:01Z
department:
- _id: '277'
doi: 10.1016/j.eswa.2021.116352
intvolume: ' 191'
language:
- iso: eng
publication: Expert Systems with Applications
publication_identifier:
issn:
- 0957-4174
publication_status: published
publisher: Elsevier BV
status: public
title: An information retrieval benchmarking model of satisficing and impatient users’
behavior in online search environments
type: journal_article
user_id: '51811'
volume: 191
year: '2022'
...
---
_id: '53245'
article_number: '132571'
author:
- first_name: Sahar
full_name: Moazzeni, Sahar
last_name: Moazzeni
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Sobhan
full_name: Mostafayi Darmian, Sobhan
last_name: Mostafayi Darmian
citation:
ama: Moazzeni S, Tavana M, Mostafayi Darmian S. A dynamic location-arc routing optimization
model for electric waste collection vehicles. Journal of Cleaner Production.
2022;364. doi:10.1016/j.jclepro.2022.132571
apa: Moazzeni, S., Tavana, M., & Mostafayi Darmian, S. (2022). A dynamic location-arc
routing optimization model for electric waste collection vehicles. Journal
of Cleaner Production, 364, Article 132571. https://doi.org/10.1016/j.jclepro.2022.132571
bibtex: '@article{Moazzeni_Tavana_Mostafayi Darmian_2022, title={A dynamic location-arc
routing optimization model for electric waste collection vehicles}, volume={364},
DOI={10.1016/j.jclepro.2022.132571},
number={132571}, journal={Journal of Cleaner Production}, publisher={Elsevier
BV}, author={Moazzeni, Sahar and Tavana, Madjid and Mostafayi Darmian, Sobhan},
year={2022} }'
chicago: Moazzeni, Sahar, Madjid Tavana, and Sobhan Mostafayi Darmian. “A Dynamic
Location-Arc Routing Optimization Model for Electric Waste Collection Vehicles.”
Journal of Cleaner Production 364 (2022). https://doi.org/10.1016/j.jclepro.2022.132571.
ieee: 'S. Moazzeni, M. Tavana, and S. Mostafayi Darmian, “A dynamic location-arc
routing optimization model for electric waste collection vehicles,” Journal
of Cleaner Production, vol. 364, Art. no. 132571, 2022, doi: 10.1016/j.jclepro.2022.132571.'
mla: Moazzeni, Sahar, et al. “A Dynamic Location-Arc Routing Optimization Model
for Electric Waste Collection Vehicles.” Journal of Cleaner Production,
vol. 364, 132571, Elsevier BV, 2022, doi:10.1016/j.jclepro.2022.132571.
short: S. Moazzeni, M. Tavana, S. Mostafayi Darmian, Journal of Cleaner Production
364 (2022).
date_created: 2024-04-04T15:55:17Z
date_updated: 2024-04-15T13:18:18Z
department:
- _id: '277'
doi: 10.1016/j.jclepro.2022.132571
intvolume: ' 364'
language:
- iso: eng
publication: Journal of Cleaner Production
publication_identifier:
issn:
- 0959-6526
publication_status: published
publisher: Elsevier BV
status: public
title: A dynamic location-arc routing optimization model for electric waste collection
vehicles
type: journal_article
user_id: '51811'
volume: 364
year: '2022'
...
---
_id: '53253'
article_number: '17'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Salman
full_name: Nazari-Shirkouhi, Salman
last_name: Nazari-Shirkouhi
- first_name: Amir
full_name: Mashayekhi, Amir
last_name: Mashayekhi
- first_name: Saeed
full_name: Mousakhani, Saeed
last_name: Mousakhani
citation:
ama: Tavana M, Nazari-Shirkouhi S, Mashayekhi A, Mousakhani S. An Integrated Data
Mining Framework for Organizational Resilience Assessment and Quality Management
Optimization in Trauma Centers. Operations Research Forum. 2022;3(1). doi:10.1007/s43069-022-00132-0
apa: Tavana, M., Nazari-Shirkouhi, S., Mashayekhi, A., & Mousakhani, S. (2022).
An Integrated Data Mining Framework for Organizational Resilience Assessment and
Quality Management Optimization in Trauma Centers. Operations Research Forum,
3(1), Article 17. https://doi.org/10.1007/s43069-022-00132-0
bibtex: '@article{Tavana_Nazari-Shirkouhi_Mashayekhi_Mousakhani_2022, title={An
Integrated Data Mining Framework for Organizational Resilience Assessment and
Quality Management Optimization in Trauma Centers}, volume={3}, DOI={10.1007/s43069-022-00132-0},
number={117}, journal={Operations Research Forum}, publisher={Springer Science
and Business Media LLC}, author={Tavana, Madjid and Nazari-Shirkouhi, Salman and
Mashayekhi, Amir and Mousakhani, Saeed}, year={2022} }'
chicago: Tavana, Madjid, Salman Nazari-Shirkouhi, Amir Mashayekhi, and Saeed Mousakhani.
“An Integrated Data Mining Framework for Organizational Resilience Assessment
and Quality Management Optimization in Trauma Centers.” Operations Research
Forum 3, no. 1 (2022). https://doi.org/10.1007/s43069-022-00132-0.
ieee: 'M. Tavana, S. Nazari-Shirkouhi, A. Mashayekhi, and S. Mousakhani, “An Integrated
Data Mining Framework for Organizational Resilience Assessment and Quality Management
Optimization in Trauma Centers,” Operations Research Forum, vol. 3, no.
1, Art. no. 17, 2022, doi: 10.1007/s43069-022-00132-0.'
mla: Tavana, Madjid, et al. “An Integrated Data Mining Framework for Organizational
Resilience Assessment and Quality Management Optimization in Trauma Centers.”
Operations Research Forum, vol. 3, no. 1, 17, Springer Science and Business
Media LLC, 2022, doi:10.1007/s43069-022-00132-0.
short: M. Tavana, S. Nazari-Shirkouhi, A. Mashayekhi, S. Mousakhani, Operations
Research Forum 3 (2022).
date_created: 2024-04-04T16:01:40Z
date_updated: 2024-04-15T13:20:37Z
department:
- _id: '277'
doi: 10.1007/s43069-022-00132-0
intvolume: ' 3'
issue: '1'
language:
- iso: eng
publication: Operations Research Forum
publication_identifier:
issn:
- 2662-2556
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: An Integrated Data Mining Framework for Organizational Resilience Assessment
and Quality Management Optimization in Trauma Centers
type: journal_article
user_id: '51811'
volume: 3
year: '2022'
...
---
_id: '53251'
author:
- first_name: Ahmadreza
full_name: Afrasiabi, Ahmadreza
last_name: Afrasiabi
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Debora
full_name: Di Caprio, Debora
last_name: Di Caprio
citation:
ama: Afrasiabi A, Tavana M, Di Caprio D. An extended hybrid fuzzy multi-criteria
decision model for sustainable and resilient supplier selection. Environmental
Science and Pollution Research. 2022;29(25):37291-37314. doi:10.1007/s11356-021-17851-2
apa: Afrasiabi, A., Tavana, M., & Di Caprio, D. (2022). An extended hybrid fuzzy
multi-criteria decision model for sustainable and resilient supplier selection.
Environmental Science and Pollution Research, 29(25), 37291–37314.
https://doi.org/10.1007/s11356-021-17851-2
bibtex: '@article{Afrasiabi_Tavana_Di Caprio_2022, title={An extended hybrid fuzzy
multi-criteria decision model for sustainable and resilient supplier selection},
volume={29}, DOI={10.1007/s11356-021-17851-2},
number={25}, journal={Environmental Science and Pollution Research}, publisher={Springer
Science and Business Media LLC}, author={Afrasiabi, Ahmadreza and Tavana, Madjid
and Di Caprio, Debora}, year={2022}, pages={37291–37314} }'
chicago: 'Afrasiabi, Ahmadreza, Madjid Tavana, and Debora Di Caprio. “An Extended
Hybrid Fuzzy Multi-Criteria Decision Model for Sustainable and Resilient Supplier
Selection.” Environmental Science and Pollution Research 29, no. 25 (2022):
37291–314. https://doi.org/10.1007/s11356-021-17851-2.'
ieee: 'A. Afrasiabi, M. Tavana, and D. Di Caprio, “An extended hybrid fuzzy multi-criteria
decision model for sustainable and resilient supplier selection,” Environmental
Science and Pollution Research, vol. 29, no. 25, pp. 37291–37314, 2022, doi:
10.1007/s11356-021-17851-2.'
mla: Afrasiabi, Ahmadreza, et al. “An Extended Hybrid Fuzzy Multi-Criteria Decision
Model for Sustainable and Resilient Supplier Selection.” Environmental Science
and Pollution Research, vol. 29, no. 25, Springer Science and Business Media
LLC, 2022, pp. 37291–314, doi:10.1007/s11356-021-17851-2.
short: A. Afrasiabi, M. Tavana, D. Di Caprio, Environmental Science and Pollution
Research 29 (2022) 37291–37314.
date_created: 2024-04-04T15:59:43Z
date_updated: 2024-04-15T13:19:42Z
department:
- _id: '277'
doi: 10.1007/s11356-021-17851-2
intvolume: ' 29'
issue: '25'
language:
- iso: eng
page: 37291-37314
publication: Environmental Science and Pollution Research
publication_identifier:
issn:
- 0944-1344
- 1614-7499
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: An extended hybrid fuzzy multi-criteria decision model for sustainable and
resilient supplier selection
type: journal_article
user_id: '51811'
volume: 29
year: '2022'
...
---
_id: '53252'
article_number: '100193'
author:
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Debora
full_name: Di Caprio, Debora
last_name: Di Caprio
citation:
ama: Santos-Arteaga FJ, Tavana M, Di Caprio D. Information acquisition and assimilation
capacities as determinants of technological niche markets. Journal of Innovation
& Knowledge. 2022;7(3). doi:10.1016/j.jik.2022.100193
apa: Santos-Arteaga, F. J., Tavana, M., & Di Caprio, D. (2022). Information
acquisition and assimilation capacities as determinants of technological niche
markets. Journal of Innovation & Knowledge, 7(3), Article 100193.
https://doi.org/10.1016/j.jik.2022.100193
bibtex: '@article{Santos-Arteaga_Tavana_Di Caprio_2022, title={Information acquisition
and assimilation capacities as determinants of technological niche markets}, volume={7},
DOI={10.1016/j.jik.2022.100193},
number={3100193}, journal={Journal of Innovation & Knowledge}, publisher={Elsevier
BV}, author={Santos-Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora},
year={2022} }'
chicago: Santos-Arteaga, Francisco J., Madjid Tavana, and Debora Di Caprio. “Information
Acquisition and Assimilation Capacities as Determinants of Technological Niche
Markets.” Journal of Innovation & Knowledge 7, no. 3 (2022). https://doi.org/10.1016/j.jik.2022.100193.
ieee: 'F. J. Santos-Arteaga, M. Tavana, and D. Di Caprio, “Information acquisition
and assimilation capacities as determinants of technological niche markets,” Journal
of Innovation & Knowledge, vol. 7, no. 3, Art. no. 100193, 2022, doi:
10.1016/j.jik.2022.100193.'
mla: Santos-Arteaga, Francisco J., et al. “Information Acquisition and Assimilation
Capacities as Determinants of Technological Niche Markets.” Journal of Innovation
& Knowledge, vol. 7, no. 3, 100193, Elsevier BV, 2022, doi:10.1016/j.jik.2022.100193.
short: F.J. Santos-Arteaga, M. Tavana, D. Di Caprio, Journal of Innovation &
Knowledge 7 (2022).
date_created: 2024-04-04T16:01:04Z
date_updated: 2024-04-15T13:19:52Z
department:
- _id: '277'
doi: 10.1016/j.jik.2022.100193
intvolume: ' 7'
issue: '3'
language:
- iso: eng
publication: Journal of Innovation & Knowledge
publication_identifier:
issn:
- 2444-569X
publication_status: published
publisher: Elsevier BV
status: public
title: Information acquisition and assimilation capacities as determinants of technological
niche markets
type: journal_article
user_id: '51811'
volume: 7
year: '2022'
...
---
_id: '53255'
author:
- first_name: Mona
full_name: Jabbari, Mona
last_name: Jabbari
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Parviz
full_name: Fattahi, Parviz
last_name: Fattahi
- first_name: Fatemeh
full_name: Daneshamooz, Fatemeh
last_name: Daneshamooz
citation:
ama: Jabbari M, Tavana M, Fattahi P, Daneshamooz F. A parameter tuned hybrid algorithm
for solving flow shop scheduling problems with parallel assembly stages. Sustainable
Operations and Computers. 2022;3:22-32. doi:10.1016/j.susoc.2021.09.002
apa: Jabbari, M., Tavana, M., Fattahi, P., & Daneshamooz, F. (2022). A parameter
tuned hybrid algorithm for solving flow shop scheduling problems with parallel
assembly stages. Sustainable Operations and Computers, 3, 22–32.
https://doi.org/10.1016/j.susoc.2021.09.002
bibtex: '@article{Jabbari_Tavana_Fattahi_Daneshamooz_2022, title={A parameter tuned
hybrid algorithm for solving flow shop scheduling problems with parallel assembly
stages}, volume={3}, DOI={10.1016/j.susoc.2021.09.002},
journal={Sustainable Operations and Computers}, publisher={Elsevier BV}, author={Jabbari,
Mona and Tavana, Madjid and Fattahi, Parviz and Daneshamooz, Fatemeh}, year={2022},
pages={22–32} }'
chicago: 'Jabbari, Mona, Madjid Tavana, Parviz Fattahi, and Fatemeh Daneshamooz.
“A Parameter Tuned Hybrid Algorithm for Solving Flow Shop Scheduling Problems
with Parallel Assembly Stages.” Sustainable Operations and Computers 3
(2022): 22–32. https://doi.org/10.1016/j.susoc.2021.09.002.'
ieee: 'M. Jabbari, M. Tavana, P. Fattahi, and F. Daneshamooz, “A parameter tuned
hybrid algorithm for solving flow shop scheduling problems with parallel assembly
stages,” Sustainable Operations and Computers, vol. 3, pp. 22–32, 2022,
doi: 10.1016/j.susoc.2021.09.002.'
mla: Jabbari, Mona, et al. “A Parameter Tuned Hybrid Algorithm for Solving Flow
Shop Scheduling Problems with Parallel Assembly Stages.” Sustainable Operations
and Computers, vol. 3, Elsevier BV, 2022, pp. 22–32, doi:10.1016/j.susoc.2021.09.002.
short: M. Jabbari, M. Tavana, P. Fattahi, F. Daneshamooz, Sustainable Operations
and Computers 3 (2022) 22–32.
date_created: 2024-04-04T16:03:47Z
date_updated: 2024-04-15T13:21:01Z
department:
- _id: '277'
doi: 10.1016/j.susoc.2021.09.002
intvolume: ' 3'
language:
- iso: eng
page: 22-32
publication: Sustainable Operations and Computers
publication_identifier:
issn:
- 2666-4127
publication_status: published
publisher: Elsevier BV
status: public
title: A parameter tuned hybrid algorithm for solving flow shop scheduling problems
with parallel assembly stages
type: journal_article
user_id: '51811'
volume: 3
year: '2022'
...
---
_id: '53256'
article_number: '311'
author:
- first_name: Seyed Emadedin
full_name: Hashemi, Seyed Emadedin
last_name: Hashemi
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Maryam
full_name: Bakhshi, Maryam
last_name: Bakhshi
citation:
ama: Hashemi SE, Tavana M, Bakhshi M. A New Particle Swarm Optimization Algorithm
for Optimizing Big Data Clustering. SN Computer Science. 2022;3(4). doi:10.1007/s42979-022-01208-8
apa: Hashemi, S. E., Tavana, M., & Bakhshi, M. (2022). A New Particle Swarm
Optimization Algorithm for Optimizing Big Data Clustering. SN Computer Science,
3(4), Article 311. https://doi.org/10.1007/s42979-022-01208-8
bibtex: '@article{Hashemi_Tavana_Bakhshi_2022, title={A New Particle Swarm Optimization
Algorithm for Optimizing Big Data Clustering}, volume={3}, DOI={10.1007/s42979-022-01208-8},
number={4311}, journal={SN Computer Science}, publisher={Springer Science and
Business Media LLC}, author={Hashemi, Seyed Emadedin and Tavana, Madjid and Bakhshi,
Maryam}, year={2022} }'
chicago: Hashemi, Seyed Emadedin, Madjid Tavana, and Maryam Bakhshi. “A New Particle
Swarm Optimization Algorithm for Optimizing Big Data Clustering.” SN Computer
Science 3, no. 4 (2022). https://doi.org/10.1007/s42979-022-01208-8.
ieee: 'S. E. Hashemi, M. Tavana, and M. Bakhshi, “A New Particle Swarm Optimization
Algorithm for Optimizing Big Data Clustering,” SN Computer Science, vol.
3, no. 4, Art. no. 311, 2022, doi: 10.1007/s42979-022-01208-8.'
mla: Hashemi, Seyed Emadedin, et al. “A New Particle Swarm Optimization Algorithm
for Optimizing Big Data Clustering.” SN Computer Science, vol. 3, no. 4,
311, Springer Science and Business Media LLC, 2022, doi:10.1007/s42979-022-01208-8.
short: S.E. Hashemi, M. Tavana, M. Bakhshi, SN Computer Science 3 (2022).
date_created: 2024-04-04T16:04:20Z
date_updated: 2024-04-15T13:21:12Z
department:
- _id: '277'
doi: 10.1007/s42979-022-01208-8
intvolume: ' 3'
issue: '4'
language:
- iso: eng
publication: SN Computer Science
publication_identifier:
issn:
- 2661-8907
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: A New Particle Swarm Optimization Algorithm for Optimizing Big Data Clustering
type: journal_article
user_id: '51811'
volume: 3
year: '2022'
...
---
_id: '53254'
article_number: '842'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Akram
full_name: Shaabani, Akram
last_name: Shaabani
- first_name: Iman
full_name: Raeesi Vanani, Iman
last_name: Raeesi Vanani
- first_name: Rajan
full_name: Kumar Gangadhari, Rajan
last_name: Kumar Gangadhari
citation:
ama: Tavana M, Shaabani A, Raeesi Vanani I, Kumar Gangadhari R. A Review of Digital
Transformation on Supply Chain Process Management Using Text Mining. Processes.
2022;10(5). doi:10.3390/pr10050842
apa: Tavana, M., Shaabani, A., Raeesi Vanani, I., & Kumar Gangadhari, R. (2022).
A Review of Digital Transformation on Supply Chain Process Management Using Text
Mining. Processes, 10(5), Article 842. https://doi.org/10.3390/pr10050842
bibtex: '@article{Tavana_Shaabani_Raeesi Vanani_Kumar Gangadhari_2022, title={A
Review of Digital Transformation on Supply Chain Process Management Using Text
Mining}, volume={10}, DOI={10.3390/pr10050842},
number={5842}, journal={Processes}, publisher={MDPI AG}, author={Tavana, Madjid
and Shaabani, Akram and Raeesi Vanani, Iman and Kumar Gangadhari, Rajan}, year={2022}
}'
chicago: Tavana, Madjid, Akram Shaabani, Iman Raeesi Vanani, and Rajan Kumar Gangadhari.
“A Review of Digital Transformation on Supply Chain Process Management Using Text
Mining.” Processes 10, no. 5 (2022). https://doi.org/10.3390/pr10050842.
ieee: 'M. Tavana, A. Shaabani, I. Raeesi Vanani, and R. Kumar Gangadhari, “A Review
of Digital Transformation on Supply Chain Process Management Using Text Mining,”
Processes, vol. 10, no. 5, Art. no. 842, 2022, doi: 10.3390/pr10050842.'
mla: Tavana, Madjid, et al. “A Review of Digital Transformation on Supply Chain
Process Management Using Text Mining.” Processes, vol. 10, no. 5, 842,
MDPI AG, 2022, doi:10.3390/pr10050842.
short: M. Tavana, A. Shaabani, I. Raeesi Vanani, R. Kumar Gangadhari, Processes
10 (2022).
date_created: 2024-04-04T16:02:12Z
date_updated: 2024-04-15T13:20:49Z
department:
- _id: '277'
doi: 10.3390/pr10050842
intvolume: ' 10'
issue: '5'
language:
- iso: eng
publication: Processes
publication_identifier:
issn:
- 2227-9717
publication_status: published
publisher: MDPI AG
status: public
title: A Review of Digital Transformation on Supply Chain Process Management Using
Text Mining
type: journal_article
user_id: '51811'
volume: 10
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
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file_name: Exploring the Scientific Impact of Information Systems Design Sci.pdf
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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: '53860'
article_number: '115274'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Hossein
full_name: Mousavi, Hossein
last_name: Mousavi
- first_name: Arash
full_name: Khalili Nasr, Arash
last_name: Khalili Nasr
- first_name: Hassan
full_name: Mina, Hassan
last_name: Mina
citation:
ama: Tavana M, Mousavi H, Khalili Nasr A, Mina H. A fuzzy weighted influence non-linear
gauge system with application to advanced technology assessment at NASA. Expert
Systems with Applications. 2021;182. doi:10.1016/j.eswa.2021.115274
apa: Tavana, M., Mousavi, H., Khalili Nasr, A., & Mina, H. (2021). A fuzzy weighted
influence non-linear gauge system with application to advanced technology assessment
at NASA. Expert Systems with Applications, 182, Article 115274.
https://doi.org/10.1016/j.eswa.2021.115274
bibtex: '@article{Tavana_Mousavi_Khalili Nasr_Mina_2021, title={A fuzzy weighted
influence non-linear gauge system with application to advanced technology assessment
at NASA}, volume={182}, DOI={10.1016/j.eswa.2021.115274},
number={115274}, journal={Expert Systems with Applications}, publisher={Elsevier
BV}, author={Tavana, Madjid and Mousavi, Hossein and Khalili Nasr, Arash and Mina,
Hassan}, year={2021} }'
chicago: Tavana, Madjid, Hossein Mousavi, Arash Khalili Nasr, and Hassan Mina. “A
Fuzzy Weighted Influence Non-Linear Gauge System with Application to Advanced
Technology Assessment at NASA.” Expert Systems with Applications 182 (2021).
https://doi.org/10.1016/j.eswa.2021.115274.
ieee: 'M. Tavana, H. Mousavi, A. Khalili Nasr, and H. Mina, “A fuzzy weighted influence
non-linear gauge system with application to advanced technology assessment at
NASA,” Expert Systems with Applications, vol. 182, Art. no. 115274, 2021,
doi: 10.1016/j.eswa.2021.115274.'
mla: Tavana, Madjid, et al. “A Fuzzy Weighted Influence Non-Linear Gauge System
with Application to Advanced Technology Assessment at NASA.” Expert Systems
with Applications, vol. 182, 115274, Elsevier BV, 2021, doi:10.1016/j.eswa.2021.115274.
short: M. Tavana, H. Mousavi, A. Khalili Nasr, H. Mina, Expert Systems with Applications
182 (2021).
date_created: 2024-05-04T14:00:58Z
date_updated: 2024-05-04T15:12:26Z
department:
- _id: '277'
doi: 10.1016/j.eswa.2021.115274
intvolume: ' 182'
language:
- iso: eng
publication: Expert Systems with Applications
publication_identifier:
issn:
- 0957-4174
publication_status: published
publisher: Elsevier BV
status: public
title: A fuzzy weighted influence non-linear gauge system with application to advanced
technology assessment at NASA
type: journal_article
user_id: '51811'
volume: 182
year: '2021'
...
---
_id: '53864'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Mohammad
full_name: Izadikhah, Mohammad
last_name: Izadikhah
- first_name: Reza
full_name: Farzipoor Saen, Reza
last_name: Farzipoor Saen
- first_name: Ramin
full_name: Zare, Ramin
last_name: Zare
citation:
ama: Tavana M, Izadikhah M, Farzipoor Saen R, Zare R. An integrated data envelopment
analysis and life cycle assessment method for performance measurement in green
construction management. Environmental Science and Pollution Research.
2021;28(1):664-682. doi:10.1007/s11356-020-10353-7
apa: Tavana, M., Izadikhah, M., Farzipoor Saen, R., & Zare, R. (2021). An integrated
data envelopment analysis and life cycle assessment method for performance measurement
in green construction management. Environmental Science and Pollution Research,
28(1), 664–682. https://doi.org/10.1007/s11356-020-10353-7
bibtex: '@article{Tavana_Izadikhah_Farzipoor Saen_Zare_2021, title={An integrated
data envelopment analysis and life cycle assessment method for performance measurement
in green construction management}, volume={28}, DOI={10.1007/s11356-020-10353-7},
number={1}, journal={Environmental Science and Pollution Research}, publisher={Springer
Science and Business Media LLC}, author={Tavana, Madjid and Izadikhah, Mohammad
and Farzipoor Saen, Reza and Zare, Ramin}, year={2021}, pages={664–682} }'
chicago: 'Tavana, Madjid, Mohammad Izadikhah, Reza Farzipoor Saen, and Ramin Zare.
“An Integrated Data Envelopment Analysis and Life Cycle Assessment Method for
Performance Measurement in Green Construction Management.” Environmental Science
and Pollution Research 28, no. 1 (2021): 664–82. https://doi.org/10.1007/s11356-020-10353-7.'
ieee: 'M. Tavana, M. Izadikhah, R. Farzipoor Saen, and R. Zare, “An integrated data
envelopment analysis and life cycle assessment method for performance measurement
in green construction management,” Environmental Science and Pollution Research,
vol. 28, no. 1, pp. 664–682, 2021, doi: 10.1007/s11356-020-10353-7.'
mla: Tavana, Madjid, et al. “An Integrated Data Envelopment Analysis and Life Cycle
Assessment Method for Performance Measurement in Green Construction Management.”
Environmental Science and Pollution Research, vol. 28, no. 1, Springer
Science and Business Media LLC, 2021, pp. 664–82, doi:10.1007/s11356-020-10353-7.
short: M. Tavana, M. Izadikhah, R. Farzipoor Saen, R. Zare, Environmental Science
and Pollution Research 28 (2021) 664–682.
date_created: 2024-05-04T14:09:38Z
date_updated: 2024-05-04T15:12:29Z
department:
- _id: '277'
doi: 10.1007/s11356-020-10353-7
intvolume: ' 28'
issue: '1'
language:
- iso: eng
page: 664-682
publication: Environmental Science and Pollution Research
publication_identifier:
issn:
- 0944-1344
- 1614-7499
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: An integrated data envelopment analysis and life cycle assessment method for
performance measurement in green construction management
type: journal_article
user_id: '51811'
volume: 28
year: '2021'
...
---
_id: '53868'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Akram
full_name: Shaabani, Akram
last_name: Shaabani
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
- first_name: Naser
full_name: Valaei, Naser
last_name: Valaei
citation:
ama: Tavana M, Shaabani A, Santos-Arteaga FJ, Valaei N. An integrated fuzzy sustainable
supplier evaluation and selection framework for green supply chains in reverse
logistics. Environmental Science and Pollution Research. 2021;28(38):53953-53982.
doi:10.1007/s11356-021-14302-w
apa: Tavana, M., Shaabani, A., Santos-Arteaga, F. J., & Valaei, N. (2021). An
integrated fuzzy sustainable supplier evaluation and selection framework for green
supply chains in reverse logistics. Environmental Science and Pollution Research,
28(38), 53953–53982. https://doi.org/10.1007/s11356-021-14302-w
bibtex: '@article{Tavana_Shaabani_Santos-Arteaga_Valaei_2021, title={An integrated
fuzzy sustainable supplier evaluation and selection framework for green supply
chains in reverse logistics}, volume={28}, DOI={10.1007/s11356-021-14302-w},
number={38}, journal={Environmental Science and Pollution Research}, publisher={Springer
Science and Business Media LLC}, author={Tavana, Madjid and Shaabani, Akram and
Santos-Arteaga, Francisco J. and Valaei, Naser}, year={2021}, pages={53953–53982}
}'
chicago: 'Tavana, Madjid, Akram Shaabani, Francisco J. Santos-Arteaga, and Naser
Valaei. “An Integrated Fuzzy Sustainable Supplier Evaluation and Selection Framework
for Green Supply Chains in Reverse Logistics.” Environmental Science and Pollution
Research 28, no. 38 (2021): 53953–82. https://doi.org/10.1007/s11356-021-14302-w.'
ieee: 'M. Tavana, A. Shaabani, F. J. Santos-Arteaga, and N. Valaei, “An integrated
fuzzy sustainable supplier evaluation and selection framework for green supply
chains in reverse logistics,” Environmental Science and Pollution Research,
vol. 28, no. 38, pp. 53953–53982, 2021, doi: 10.1007/s11356-021-14302-w.'
mla: Tavana, Madjid, et al. “An Integrated Fuzzy Sustainable Supplier Evaluation
and Selection Framework for Green Supply Chains in Reverse Logistics.” Environmental
Science and Pollution Research, vol. 28, no. 38, Springer Science and Business
Media LLC, 2021, pp. 53953–82, doi:10.1007/s11356-021-14302-w.
short: M. Tavana, A. Shaabani, F.J. Santos-Arteaga, N. Valaei, Environmental Science
and Pollution Research 28 (2021) 53953–53982.
date_created: 2024-05-04T14:21:21Z
date_updated: 2024-05-04T15:12:39Z
department:
- _id: '277'
doi: 10.1007/s11356-021-14302-w
intvolume: ' 28'
issue: '38'
language:
- iso: eng
page: 53953-53982
publication: Environmental Science and Pollution Research
publication_identifier:
issn:
- 0944-1344
- 1614-7499
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: An integrated fuzzy sustainable supplier evaluation and selection framework
for green supply chains in reverse logistics
type: journal_article
user_id: '51811'
volume: 28
year: '2021'
...
---
_id: '53865'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Akram
full_name: Shaabani, Akram
last_name: Shaabani
- first_name: Soleyman
full_name: Mansouri Mohammadabadi, Soleyman
last_name: Mansouri Mohammadabadi
- first_name: Nilofar
full_name: Varzgani, Nilofar
last_name: Varzgani
citation:
ama: 'Tavana M, Shaabani A, Mansouri Mohammadabadi S, Varzgani N. An integrated
fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and
supplier selection. International Journal of Systems Science: Operations &
Logistics. 2021;8(3):238-261. doi:10.1080/23302674.2020.1737754'
apa: 'Tavana, M., Shaabani, A., Mansouri Mohammadabadi, S., & Varzgani, N. (2021).
An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit
assessment and supplier selection. International Journal of Systems Science:
Operations & Logistics, 8(3), 238–261. https://doi.org/10.1080/23302674.2020.1737754'
bibtex: '@article{Tavana_Shaabani_Mansouri Mohammadabadi_Varzgani_2021, title={An
integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment
and supplier selection}, volume={8}, DOI={10.1080/23302674.2020.1737754},
number={3}, journal={International Journal of Systems Science: Operations &
Logistics}, publisher={Informa UK Limited}, author={Tavana, Madjid and Shaabani,
Akram and Mansouri Mohammadabadi, Soleyman and Varzgani, Nilofar}, year={2021},
pages={238–261} }'
chicago: 'Tavana, Madjid, Akram Shaabani, Soleyman Mansouri Mohammadabadi, and Nilofar
Varzgani. “An Integrated Fuzzy AHP- Fuzzy MULTIMOORA Model for Supply Chain Risk-Benefit
Assessment and Supplier Selection.” International Journal of Systems Science:
Operations & Logistics 8, no. 3 (2021): 238–61. https://doi.org/10.1080/23302674.2020.1737754.'
ieee: 'M. Tavana, A. Shaabani, S. Mansouri Mohammadabadi, and N. Varzgani, “An integrated
fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and
supplier selection,” International Journal of Systems Science: Operations &
Logistics, vol. 8, no. 3, pp. 238–261, 2021, doi: 10.1080/23302674.2020.1737754.'
mla: 'Tavana, Madjid, et al. “An Integrated Fuzzy AHP- Fuzzy MULTIMOORA Model for
Supply Chain Risk-Benefit Assessment and Supplier Selection.” International
Journal of Systems Science: Operations & Logistics, vol. 8, no. 3, Informa
UK Limited, 2021, pp. 238–61, doi:10.1080/23302674.2020.1737754.'
short: 'M. Tavana, A. Shaabani, S. Mansouri Mohammadabadi, N. Varzgani, International
Journal of Systems Science: Operations & Logistics 8 (2021) 238–261.'
date_created: 2024-05-04T14:17:36Z
date_updated: 2024-05-04T15:12:33Z
department:
- _id: '277'
doi: 10.1080/23302674.2020.1737754
intvolume: ' 8'
issue: '3'
language:
- iso: eng
page: 238-261
publication: 'International Journal of Systems Science: Operations & Logistics'
publication_identifier:
issn:
- 2330-2674
- 2330-2682
publication_status: published
publisher: Informa UK Limited
status: public
title: An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit
assessment and supplier selection
type: journal_article
user_id: '51811'
volume: 8
year: '2021'
...