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