--- _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' ...