--- _id: '33885' author: - first_name: Janina full_name: Seutter, Janina id: '64464' last_name: Seutter citation: ama: 'Seutter J. Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives .' apa: 'Seutter, J. (n.d.). Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives . Pre-ICIS Global Sourcing Workshop 2022, Copenhagen, Denmark.' bibtex: '@inproceedings{Seutter, title={Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives }, author={Seutter, Janina} }' chicago: 'Seutter, Janina. “Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives ,” n.d.' ieee: 'J. Seutter, “Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives ,” presented at the Pre-ICIS Global Sourcing Workshop 2022, Copenhagen, Denmark.' mla: 'Seutter, Janina. Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives .' short: 'J. Seutter, in: n.d.' conference: location: Copenhagen, Denmark name: Pre-ICIS Global Sourcing Workshop 2022 date_created: 2022-10-26T10:10:32Z date_updated: 2022-11-17T14:13:26Z department: - _id: '276' language: - iso: eng project: - _id: '2' name: 'SFB 901 - A: SFB 901 - Project Area A' - _id: '8' name: 'SFB 901 - A4: SFB 901 - Subproject A4' - _id: '1' name: 'SFB 901: SFB 901' publication_status: accepted status: public title: 'Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives ' type: conference_abstract user_id: '477' year: '2022' ... --- _id: '30916' author: - first_name: Janina full_name: Seutter, Janina id: '64464' last_name: Seutter citation: ama: 'Seutter J. Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations. In: Proceedings of the 30th European Conference on Information Systems (ECIS).' apa: 'Seutter, J. (n.d.). Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations. Proceedings of the 30th European Conference on Information Systems (ECIS). Proceedings of the 30th European Conference on Information Systems (ECIS), Timișoara, Romania.' bibtex: '@inproceedings{Seutter, title={Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations}, booktitle={Proceedings of the 30th European Conference on Information Systems (ECIS)}, author={Seutter, Janina} }' chicago: 'Seutter, Janina. “Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations.” In Proceedings of the 30th European Conference on Information Systems (ECIS), n.d.' ieee: 'J. Seutter, “Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations,” presented at the Proceedings of the 30th European Conference on Information Systems (ECIS), Timișoara, Romania.' mla: 'Seutter, Janina. “Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations.” Proceedings of the 30th European Conference on Information Systems (ECIS).' short: 'J. Seutter, in: Proceedings of the 30th European Conference on Information Systems (ECIS), n.d.' conference: location: Timișoara, Romania name: Proceedings of the 30th European Conference on Information Systems (ECIS) date_created: 2022-04-19T12:26:29Z date_updated: 2022-11-17T14:20:16Z department: - _id: '276' language: - iso: eng project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '2' name: 'SFB 901 - A: SFB 901 - Project Area A' - _id: '8' name: 'SFB 901 - A4: SFB 901 - Subproject A4' publication: Proceedings of the 30th European Conference on Information Systems (ECIS) publication_status: accepted status: public title: 'Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations' type: conference_abstract user_id: '477' year: '2022' ... --- _id: '31062' author: - first_name: Martin full_name: Poniatowski, Martin id: '32441' last_name: Poniatowski citation: ama: 'Poniatowski M. How the Display of the Transaction Count Affects the Purchase Intention. In: Proceedings of the 28th Americas Conference on Information Systems (AMCIS).' apa: Poniatowski, M. (n.d.). How the Display of the Transaction Count Affects the Purchase Intention. Proceedings of the 28th Americas Conference on Information Systems (AMCIS). 28th Americas Conference on Information Systems (AMCIS), Minneapolis, USA. bibtex: '@inproceedings{Poniatowski, title={How the Display of the Transaction Count Affects the Purchase Intention}, booktitle={Proceedings of the 28th Americas Conference on Information Systems (AMCIS)}, author={Poniatowski, Martin} }' chicago: Poniatowski, Martin. “How the Display of the Transaction Count Affects the Purchase Intention.” In Proceedings of the 28th Americas Conference on Information Systems (AMCIS), n.d. ieee: M. Poniatowski, “How the Display of the Transaction Count Affects the Purchase Intention,” presented at the 28th Americas Conference on Information Systems (AMCIS), Minneapolis, USA. mla: Poniatowski, Martin. “How the Display of the Transaction Count Affects the Purchase Intention.” Proceedings of the 28th Americas Conference on Information Systems (AMCIS). short: 'M. Poniatowski, in: Proceedings of the 28th Americas Conference on Information Systems (AMCIS), n.d.' conference: location: Minneapolis, USA name: 28th Americas Conference on Information Systems (AMCIS) date_created: 2022-05-04T14:02:31Z date_updated: 2022-11-17T14:20:07Z department: - _id: '276' language: - iso: eng project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '2' name: 'SFB 901 - A: SFB 901 - Project Area A' - _id: '8' name: 'SFB 901 - A4: SFB 901 - Subproject A4' publication: Proceedings of the 28th Americas Conference on Information Systems (AMCIS) publication_status: accepted status: public title: How the Display of the Transaction Count Affects the Purchase Intention type: conference_abstract user_id: '477' year: '2022' ... --- _id: '30939' author: - first_name: Christian full_name: Vorbohle, Christian id: '29951' last_name: Vorbohle - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch citation: ama: 'Vorbohle C, Kundisch D. Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems. In: Proceedings of the 30th European Conference on Information Systems (ECIS). ; 2022.' apa: 'Vorbohle, C., & Kundisch, D. (2022). Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems. Proceedings of the 30th European Conference on Information Systems (ECIS). Proceedings of the 30th European Conference on Information Systems (ECIS), Timișoara, Romania.' bibtex: '@inproceedings{Vorbohle_Kundisch_2022, title={Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems}, booktitle={Proceedings of the 30th European Conference on Information Systems (ECIS)}, author={Vorbohle, Christian and Kundisch, Dennis}, year={2022} }' chicago: 'Vorbohle, Christian, and Dennis Kundisch. “Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems.” In Proceedings of the 30th European Conference on Information Systems (ECIS), 2022.' ieee: 'C. Vorbohle and D. Kundisch, “Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems,” presented at the Proceedings of the 30th European Conference on Information Systems (ECIS), Timișoara, Romania, 2022.' mla: 'Vorbohle, Christian, and Dennis Kundisch. “Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems.” Proceedings of the 30th European Conference on Information Systems (ECIS), 2022.' short: 'C. Vorbohle, D. Kundisch, in: Proceedings of the 30th European Conference on Information Systems (ECIS), 2022.' conference: location: Timișoara, Romania name: Proceedings of the 30th European Conference on Information Systems (ECIS) date_created: 2022-04-22T11:36:50Z date_updated: 2022-11-17T14:21:40Z department: - _id: '276' language: - iso: eng project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '17' name: 'SFB 901 - C5: SFB 901 - Subproject C5' publication: Proceedings of the 30th European Conference on Information Systems (ECIS) status: public title: 'Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems' type: conference user_id: '477' year: '2022' ... --- _id: '30734' author: - first_name: Maike full_name: Althaus, Maike id: '61896' last_name: Althaus - first_name: Martin full_name: Poniatowski, Martin id: '32441' last_name: Poniatowski - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch citation: ama: 'Althaus M, Poniatowski M, Kundisch D. Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic. In: ; 2022.' apa: Althaus, M., Poniatowski, M., & Kundisch, D. (2022). Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic. Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Madrid, Spain. bibtex: '@inproceedings{Althaus_Poniatowski_Kundisch_2022, title={Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic}, author={Althaus, Maike and Poniatowski, Martin and Kundisch, Dennis}, year={2022} }' chicago: Althaus, Maike, Martin Poniatowski, and Dennis Kundisch. “Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic,” 2022. ieee: M. Althaus, M. Poniatowski, and D. Kundisch, “Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic,” presented at the Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Madrid, Spain, 2022. mla: Althaus, Maike, et al. Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic. 2022. short: 'M. Althaus, M. Poniatowski, D. Kundisch, in: 2022.' conference: location: Madrid, Spain name: Symposium on Statistical Challenges in Electronic Commerce Research (SCECR) date_created: 2022-04-01T11:58:15Z date_updated: 2022-11-17T14:21:50Z department: - _id: '276' language: - iso: eng project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '2' name: 'SFB 901 - A: SFB 901 - Project Area A' - _id: '8' name: 'SFB 901 - A4: SFB 901 - Subproject A4' status: public title: Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic type: conference_abstract user_id: '477' year: '2022' ... --- _id: '30212' author: - first_name: Christian full_name: Vorbohle, Christian id: '29951' last_name: Vorbohle - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch citation: ama: 'Vorbohle C, Kundisch D. Key Properties of Sustainable Business Ecosystem Relationships. In: ; 2022.' apa: Vorbohle, C., & Kundisch, D. (2022). Key Properties of Sustainable Business Ecosystem Relationships. Symplatform (Third Edition). bibtex: '@inproceedings{Vorbohle_Kundisch_2022, title={Key Properties of Sustainable Business Ecosystem Relationships}, author={Vorbohle, Christian and Kundisch, Dennis}, year={2022} }' chicago: Vorbohle, Christian, and Dennis Kundisch. “Key Properties of Sustainable Business Ecosystem Relationships,” 2022. ieee: C. Vorbohle and D. Kundisch, “Key Properties of Sustainable Business Ecosystem Relationships,” presented at the Symplatform (Third Edition), 2022. mla: Vorbohle, Christian, and Dennis Kundisch. Key Properties of Sustainable Business Ecosystem Relationships. 2022. short: 'C. Vorbohle, D. Kundisch, in: 2022.' conference: name: Symplatform (Third Edition) date_created: 2022-03-08T09:55:06Z date_updated: 2022-11-17T14:23:02Z department: - _id: '276' language: - iso: eng project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '17' name: 'SFB 901 - C5: SFB 901 - Subproject C5' status: public title: Key Properties of Sustainable Business Ecosystem Relationships type: conference_abstract user_id: '477' year: '2022' ... --- _id: '33250' author: - first_name: Daniel full_name: Szopinski, Daniel id: '36372' last_name: Szopinski - first_name: Lorenzo full_name: Massa, Lorenzo last_name: Massa - first_name: Thomas full_name: John, Thomas last_name: John - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch - first_name: Christopher full_name: Tucci, Christopher last_name: Tucci citation: ama: 'Szopinski D, Massa L, John T, Kundisch D, Tucci C. Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research. Communications of the Association for Information Systems. 2022;51:774-841.' apa: 'Szopinski, D., Massa, L., John, T., Kundisch, D., & Tucci, C. (2022). Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research. Communications of the Association for Information Systems, 51, 774–841.' bibtex: '@article{Szopinski_Massa_John_Kundisch_Tucci_2022, title={Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research}, volume={51}, journal={Communications of the Association for Information Systems}, author={Szopinski, Daniel and Massa, Lorenzo and John, Thomas and Kundisch, Dennis and Tucci, Christopher}, year={2022}, pages={774–841} }' chicago: 'Szopinski, Daniel, Lorenzo Massa, Thomas John, Dennis Kundisch, and Christopher Tucci. “Modeling Business Models: A Cross-Disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research.” Communications of the Association for Information Systems 51 (2022): 774–841.' ieee: 'D. Szopinski, L. Massa, T. John, D. Kundisch, and C. Tucci, “Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research,” Communications of the Association for Information Systems, vol. 51, pp. 774–841, 2022.' mla: 'Szopinski, Daniel, et al. “Modeling Business Models: A Cross-Disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research.” Communications of the Association for Information Systems, vol. 51, 2022, pp. 774–841.' short: D. Szopinski, L. Massa, T. John, D. Kundisch, C. Tucci, Communications of the Association for Information Systems 51 (2022) 774–841. date_created: 2022-09-02T10:05:24Z date_updated: 2022-12-21T19:08:47Z ddc: - '000' department: - _id: '276' file: - access_level: closed content_type: application/pdf creator: dsz date_created: 2022-12-21T19:08:31Z date_updated: 2022-12-21T19:08:31Z file_id: '34788' file_name: Modeling Business Models_ A cross-disciplinary Analysis of Busine.pdf file_size: 3579895 relation: main_file success: 1 file_date_updated: 2022-12-21T19:08:31Z has_accepted_license: '1' intvolume: ' 51' language: - iso: eng page: 774-841 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '17' name: 'SFB 901 - C5: SFB 901 - Subproject C5' publication: Communications of the Association for Information Systems publication_status: published status: public title: 'Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research' type: journal_article user_id: '36372' volume: 51 year: '2022' ... --- _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: '29539' abstract: - lang: eng text: Explainable Artificial Intelligence (XAI) is currently an important topic for the application of Machine Learning (ML) in high-stakes decision scenarios. Related research focuses on evaluating ML algorithms in terms of interpretability. However, providing a human understandable explanation of an intelligent system does not only relate to the used ML algorithm. The data and features used also have a considerable impact on interpretability. In this paper, we develop a taxonomy for describing XAI systems based on aspects about the algorithm and data. The proposed taxonomy gives researchers and practitioners opportunities to describe and evaluate current XAI systems with respect to interpretability and guides the future development of this class of systems. author: - first_name: Jan-Peter full_name: Kucklick, Jan-Peter id: '77066' last_name: Kucklick citation: ama: 'Kucklick J-P. Towards a model- and data-focused taxonomy of XAI systems. In: Wirtschaftsinformatik 2022 Proceedings. ; 2022.' apa: Kucklick, J.-P. (2022). Towards a model- and data-focused taxonomy of XAI systems. Wirtschaftsinformatik 2022 Proceedings. Wirtschaftsinformatik 2022 (WI22), Nürnberg (online). bibtex: '@inproceedings{Kucklick_2022, title={Towards a model- and data-focused taxonomy of XAI systems}, booktitle={Wirtschaftsinformatik 2022 Proceedings}, author={Kucklick, Jan-Peter}, year={2022} }' chicago: Kucklick, Jan-Peter. “Towards a Model- and Data-Focused Taxonomy of XAI Systems.” In Wirtschaftsinformatik 2022 Proceedings, 2022. ieee: J.-P. Kucklick, “Towards a model- and data-focused taxonomy of XAI systems,” presented at the Wirtschaftsinformatik 2022 (WI22), Nürnberg (online), 2022. mla: Kucklick, Jan-Peter. “Towards a Model- and Data-Focused Taxonomy of XAI Systems.” Wirtschaftsinformatik 2022 Proceedings, 2022. short: 'J.-P. Kucklick, in: Wirtschaftsinformatik 2022 Proceedings, 2022.' conference: end_date: 2022-02-23 location: Nürnberg (online) name: Wirtschaftsinformatik 2022 (WI22) start_date: 2022-02-21 date_created: 2022-01-26T08:22:03Z date_updated: 2022-01-26T08:24:30Z department: - _id: '195' - _id: '196' keyword: - Explainable Artificial Intelligence - XAI - Interpretability - Decision Support Systems - Taxonomy language: - iso: eng main_file_link: - open_access: '1' url: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1056&context=wi2022 oa: '1' publication: Wirtschaftsinformatik 2022 Proceedings status: public title: Towards a model- and data-focused taxonomy of XAI systems type: conference user_id: '77066' year: '2022' ... --- _id: '32866' article_number: '101734' author: - first_name: Arisa full_name: Shollo, Arisa last_name: Shollo - first_name: Konstantin full_name: Hopf, Konstantin last_name: Hopf - first_name: Tiemo full_name: Thiess, Tiemo last_name: Thiess - first_name: Oliver full_name: Müller, Oliver last_name: Müller citation: ama: 'Shollo A, Hopf K, Thiess T, Müller O. Shifting ML value creation mechanisms: A process model of ML value creation. The Journal of Strategic Information Systems. 2022;31(3). doi:10.1016/j.jsis.2022.101734' apa: 'Shollo, A., Hopf, K., Thiess, T., & Müller, O. (2022). Shifting ML value creation mechanisms: A process model of ML value creation. The Journal of Strategic Information Systems, 31(3), Article 101734. https://doi.org/10.1016/j.jsis.2022.101734' bibtex: '@article{Shollo_Hopf_Thiess_Müller_2022, title={Shifting ML value creation mechanisms: A process model of ML value creation}, volume={31}, DOI={10.1016/j.jsis.2022.101734}, number={3101734}, journal={The Journal of Strategic Information Systems}, publisher={Elsevier BV}, author={Shollo, Arisa and Hopf, Konstantin and Thiess, Tiemo and Müller, Oliver}, year={2022} }' chicago: 'Shollo, Arisa, Konstantin Hopf, Tiemo Thiess, and Oliver Müller. “Shifting ML Value Creation Mechanisms: A Process Model of ML Value Creation.” The Journal of Strategic Information Systems 31, no. 3 (2022). https://doi.org/10.1016/j.jsis.2022.101734.' ieee: 'A. Shollo, K. Hopf, T. Thiess, and O. Müller, “Shifting ML value creation mechanisms: A process model of ML value creation,” The Journal of Strategic Information Systems, vol. 31, no. 3, Art. no. 101734, 2022, doi: 10.1016/j.jsis.2022.101734.' mla: 'Shollo, Arisa, et al. “Shifting ML Value Creation Mechanisms: A Process Model of ML Value Creation.” The Journal of Strategic Information Systems, vol. 31, no. 3, 101734, Elsevier BV, 2022, doi:10.1016/j.jsis.2022.101734.' short: A. Shollo, K. Hopf, T. Thiess, O. Müller, The Journal of Strategic Information Systems 31 (2022). date_created: 2022-08-17T07:03:55Z date_updated: 2022-08-17T07:16:12Z ddc: - '000' department: - _id: '196' doi: 10.1016/j.jsis.2022.101734 file: - access_level: closed content_type: application/pdf creator: omueller date_created: 2022-08-17T07:04:41Z date_updated: 2022-08-17T07:04:41Z file_id: '32867' file_name: 1-s2.0-S0963868722000300-main.pdf file_size: 1980258 relation: main_file success: 1 file_date_updated: 2022-08-17T07:04:41Z has_accepted_license: '1' intvolume: ' 31' issue: '3' keyword: - Information Systems and Management - Information Systems - Management Information Systems language: - iso: eng publication: The Journal of Strategic Information Systems publication_identifier: issn: - 0963-8687 publication_status: published publisher: Elsevier BV status: public title: 'Shifting ML value creation mechanisms: A process model of ML value creation' type: journal_article user_id: '72849' volume: 31 year: '2022' ... --- _id: '23566' author: - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch - first_name: J. full_name: Muntermann, J. last_name: Muntermann - first_name: A. M. full_name: Oberländer, A. M. last_name: Oberländer - first_name: D. full_name: Rau, D. last_name: Rau - first_name: M. full_name: Röglinger, M. last_name: Röglinger - first_name: T. full_name: Schoormann, T. last_name: Schoormann - first_name: Daniel full_name: Szopinski, Daniel id: '36372' last_name: Szopinski citation: ama: 'Kundisch D, Muntermann J, Oberländer AM, et al. An update for taxonomy designers: Methodological guidance from information systems research. Business & Information Systems Engineering. 2022;64(4):421-439.' apa: 'Kundisch, D., Muntermann, J., Oberländer, A. M., Rau, D., Röglinger, M., Schoormann, T., & Szopinski, D. (2022). An update for taxonomy designers: Methodological guidance from information systems research. Business & Information Systems Engineering, 64(4), 421–439.' bibtex: '@article{Kundisch_Muntermann_Oberländer_Rau_Röglinger_Schoormann_Szopinski_2022, title={An update for taxonomy designers: Methodological guidance from information systems research}, volume={64}, number={4}, journal={Business & Information Systems Engineering}, author={Kundisch, Dennis and Muntermann, J. and Oberländer, A. M. and Rau, D. and Röglinger, M. and Schoormann, T. and Szopinski, Daniel}, year={2022}, pages={421–439} }' chicago: 'Kundisch, Dennis, J. Muntermann, A. M. Oberländer, D. Rau, M. Röglinger, T. Schoormann, and Daniel Szopinski. “An Update for Taxonomy Designers: Methodological Guidance from Information Systems Research.” Business & Information Systems Engineering 64, no. 4 (2022): 421–39.' ieee: 'D. Kundisch et al., “An update for taxonomy designers: Methodological guidance from information systems research,” Business & Information Systems Engineering, vol. 64, no. 4, pp. 421–439, 2022.' mla: 'Kundisch, Dennis, et al. “An Update for Taxonomy Designers: Methodological Guidance from Information Systems Research.” Business & Information Systems Engineering, vol. 64, no. 4, 2022, pp. 421–39.' short: D. Kundisch, J. Muntermann, A.M. Oberländer, D. Rau, M. Röglinger, T. Schoormann, D. Szopinski, Business & Information Systems Engineering 64 (2022) 421–439. date_created: 2021-08-30T10:00:24Z date_updated: 2022-10-21T12:57:05Z ddc: - '000' department: - _id: '276' file: - access_level: closed content_type: application/pdf creator: abursig date_created: 2021-11-08T12:24:31Z date_updated: 2021-11-08T12:24:31Z file_id: '27282' file_name: Kundisch2021_Article_AnUpdateForTaxonomyDesigners.pdf file_size: 511483 relation: main_file success: 1 file_date_updated: 2021-11-08T12:24:31Z has_accepted_license: '1' intvolume: ' 64' issue: '4' language: - iso: eng page: 421-439 project: - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '17' name: SFB 901 - Subproject C5 publication: Business & Information Systems Engineering publication_status: published status: public title: 'An update for taxonomy designers: Methodological guidance from information systems research' type: journal_article user_id: '16205' volume: 64 year: '2022' ... --- _id: '33884' author: - first_name: Florian full_name: Laux, Florian id: '50293' last_name: Laux - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch citation: ama: Laux F, Kundisch D. Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting. apa: Laux, F., & Kundisch, D. (n.d.). Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting. Pre-ICIS Global Sourcing Workshop 2022, Copenhagen, Denmark. bibtex: '@inproceedings{Laux_Kundisch, title={Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting}, author={Laux, Florian and Kundisch, Dennis} }' chicago: Laux, Florian, and Dennis Kundisch. “Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting,” n.d. ieee: F. Laux and D. Kundisch, “Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting,” presented at the Pre-ICIS Global Sourcing Workshop 2022, Copenhagen, Denmark. mla: Laux, Florian, and Dennis Kundisch. Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting. short: 'F. Laux, D. Kundisch, in: n.d.' conference: location: Copenhagen, Denmark name: Pre-ICIS Global Sourcing Workshop 2022 date_created: 2022-10-26T10:04:29Z date_updated: 2022-10-26T10:05:24Z department: - _id: '276' language: - iso: eng project: - _id: '98' grant_number: EFRE-0801915 name: Intelligentes Assistenzsystem zur Unterstützung der digitalen Transformation von Geschäftsmodellen publication_status: accepted status: public title: Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting type: conference_abstract user_id: '16205' year: '2022' ... --- _id: '35620' abstract: - lang: eng text: Deep learning models fuel many modern decision support systems, because they typically provide high predictive performance. Among other domains, deep learning is used in real-estate appraisal, where it allows to extend the analysis from hard facts only (e.g., size, age) to also consider more implicit information about the location or appearance of houses in the form of image data. However, one downside of deep learning models is their intransparent mechanic of decision making, which leads to a trade-off between accuracy and interpretability. This limits their applicability for tasks where a justification of the decision is necessary. Therefore, in this paper, we first combine different perspectives on interpretability into a multi-dimensional framework for a socio-technical perspective on explainable artificial intelligence. Second, we measure the performance gains of using multi-view deep learning which leverages additional image data (satellite images) for real estate appraisal. Third, we propose and test a novel post-hoc explainability method called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency of convolutional neural networks (CNNs) for predicting continuous outcome variables. With this, we try to reduce the accuracy-interpretability trade-off of multi-view deep learning models. Our proposed network architecture outperforms traditional hedonic regression models by 34% in terms of MAE. Furthermore, we find that the used satellite images are the second most important predictor after square feet in our model and that the network learns interpretable patterns about the neighborhood structure and density. article_type: original author: - first_name: Jan-Peter full_name: Kucklick, Jan-Peter id: '77066' last_name: Kucklick - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller citation: ama: 'Kucklick J-P, Müller O. Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal. ACM Transactions on Management Information Systems. Published online 2022. doi:10.1145/3567430' apa: 'Kucklick, J.-P., & Müller, O. (2022). Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal. ACM Transactions on Management Information Systems. https://doi.org/10.1145/3567430' bibtex: '@article{Kucklick_Müller_2022, title={Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal}, DOI={10.1145/3567430}, journal={ACM Transactions on Management Information Systems}, publisher={Association for Computing Machinery (ACM)}, author={Kucklick, Jan-Peter and Müller, Oliver}, year={2022} }' chicago: 'Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate Appraisal.” ACM Transactions on Management Information Systems, 2022. https://doi.org/10.1145/3567430.' ieee: 'J.-P. Kucklick and O. Müller, “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal,” ACM Transactions on Management Information Systems, 2022, doi: 10.1145/3567430.' mla: 'Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate Appraisal.” ACM Transactions on Management Information Systems, Association for Computing Machinery (ACM), 2022, doi:10.1145/3567430.' short: J.-P. Kucklick, O. Müller, ACM Transactions on Management Information Systems (2022). date_created: 2023-01-10T05:16:02Z date_updated: 2023-01-10T05:20:18Z department: - _id: '195' - _id: '196' doi: 10.1145/3567430 keyword: - Interpretability - Convolutional Neural Network - Accuracy-Interpretability Trade-Of - Real Estate Appraisal - Hedonic Pricing - Grad-Ram language: - iso: eng main_file_link: - url: https://dl.acm.org/doi/pdf/10.1145/3567430 publication: ACM Transactions on Management Information Systems publication_identifier: issn: - 2158-656X - 2158-6578 publication_status: published publisher: Association for Computing Machinery (ACM) status: public title: 'Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal' type: journal_article user_id: '77066' year: '2022' ... --- _id: '35740' abstract: - lang: eng text: AbstractWhile the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level. author: - first_name: Christian full_name: Bartelheimer, Christian last_name: Bartelheimer - first_name: Philipp full_name: zur Heiden, Philipp last_name: zur Heiden - first_name: Hedda full_name: Lüttenberg, Hedda last_name: Lüttenberg - first_name: Daniel full_name: Beverungen, Daniel last_name: Beverungen citation: ama: 'Bartelheimer C, zur Heiden P, Lüttenberg H, Beverungen D. Systematizing the lexicon of platforms in information systems: a data-driven study. Electronic Markets. 2022;32(1):375-396. doi:10.1007/s12525-022-00530-6' apa: 'Bartelheimer, C., zur Heiden, P., Lüttenberg, H., & Beverungen, D. (2022). Systematizing the lexicon of platforms in information systems: a data-driven study. Electronic Markets, 32(1), 375–396. https://doi.org/10.1007/s12525-022-00530-6' bibtex: '@article{Bartelheimer_zur Heiden_Lüttenberg_Beverungen_2022, title={Systematizing the lexicon of platforms in information systems: a data-driven study}, volume={32}, DOI={10.1007/s12525-022-00530-6}, number={1}, journal={Electronic Markets}, publisher={Springer Science and Business Media LLC}, author={Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}, year={2022}, pages={375–396} }' chicago: 'Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” Electronic Markets 32, no. 1 (2022): 375–96. https://doi.org/10.1007/s12525-022-00530-6.' ieee: 'C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing the lexicon of platforms in information systems: a data-driven study,” Electronic Markets, vol. 32, no. 1, pp. 375–396, 2022, doi: 10.1007/s12525-022-00530-6.' mla: 'Bartelheimer, Christian, et al. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” Electronic Markets, vol. 32, no. 1, Springer Science and Business Media LLC, 2022, pp. 375–96, doi:10.1007/s12525-022-00530-6.' short: C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic Markets 32 (2022) 375–396. date_created: 2023-01-10T10:10:17Z date_updated: 2023-01-10T10:12:09Z department: - _id: '526' doi: 10.1007/s12525-022-00530-6 intvolume: ' 32' issue: '1' keyword: - Management of Technology and Innovation - Marketing - Computer Science Applications - Economics and Econometrics - Business and International Management language: - iso: eng page: 375-396 publication: Electronic Markets publication_identifier: issn: - 1019-6781 - 1422-8890 publication_status: published publisher: Springer Science and Business Media LLC status: public title: 'Systematizing the lexicon of platforms in information systems: a data-driven study' type: journal_article user_id: '21671' volume: 32 year: '2022' ... --- _id: '34317' author: - first_name: Kader full_name: Arslan, Kader id: '20388' last_name: Arslan - first_name: Matthias full_name: Trier, Matthias id: '72744' last_name: Trier citation: ama: 'Arslan K, Trier M. Towards a Process Model for Social Media Marketing. In: Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022). ; 2022.' apa: Arslan, K., & Trier, M. (2022). Towards a Process Model for Social Media Marketing. Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022). ACIS 2022, Melbourne, Australia. bibtex: '@inproceedings{Arslan_Trier_2022, place={Melbourne, Australia}, title={Towards a Process Model for Social Media Marketing}, booktitle={Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022)}, author={Arslan, Kader and Trier, Matthias}, year={2022} }' chicago: Arslan, Kader, and Matthias Trier. “Towards a Process Model for Social Media Marketing.” In Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022). Melbourne, Australia, 2022. ieee: K. Arslan and M. Trier, “Towards a Process Model for Social Media Marketing,” presented at the ACIS 2022, Melbourne, Australia, 2022. mla: Arslan, Kader, and Matthias Trier. “Towards a Process Model for Social Media Marketing.” Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022), 2022. short: 'K. Arslan, M. Trier, in: Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022), Melbourne, Australia, 2022.' conference: location: Melbourne, Australia name: ACIS 2022 date_created: 2022-12-10T15:32:15Z date_updated: 2023-12-26T11:06:43Z department: - _id: '198' keyword: - Social media - Social media marketing process - Social media strategy - Social media management - Guidelines language: - iso: eng place: Melbourne, Australia publication: Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022) publication_status: published related_material: link: - relation: research_paper url: https://aisel.aisnet.org/acis2022/81/ status: public title: Towards a Process Model for Social Media Marketing type: conference user_id: '20388' year: '2022' ... --- _id: '36912' abstract: - lang: eng text: Existing process mining methods are primarily designed for processes that have reached a high degree of digitalization and standardization. In contrast, the literature has only begun to discuss how process mining can be applied to knowledge-intensive processes—such as product innovation processes—that involve creative activities, require organizational flexibility, depend on single actors’ decision autonomy, and target process-external goals such as customer satisfaction. Due to these differences, existing Process Mining methods cannot be applied out-of-the-box to analyze knowledge-intensive processes. In this paper, we employ Action Design Research (ADR) to design and evaluate a process mining approach for knowledge-intensive processes. More specifically, we draw on the two processes of product innovation and engineer-to-order in manufacturing contexts. We collected data from 27 interviews and conducted 49 workshops to evaluate our IT artifact at different stages in the ADR process. From a theoretical perspective, we contribute five design principles and a conceptual artifact that prescribe how process mining ought to be designed for knowledge-intensive processes in manufacturing. From a managerial perspective, we demonstrate how enacting these principles enables their application in practice. author: - first_name: Bernd full_name: Löhr, Bernd id: '56760' last_name: Löhr - first_name: Katharina full_name: Brennig, Katharina id: '51905' last_name: Brennig - first_name: Christian full_name: Bartelheimer, Christian id: '49160' last_name: Bartelheimer - first_name: Daniel full_name: Beverungen, Daniel id: '59677' last_name: Beverungen - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller citation: ama: 'Löhr B, Brennig K, Bartelheimer C, Beverungen D, Müller O. Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing. In: International Conference on Business Process Management. ; 2022. doi:10.1007/978-3-031-16103-2_18' apa: 'Löhr, B., Brennig, K., Bartelheimer, C., Beverungen, D., & Müller, O. (2022). Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing. International Conference on Business Process Management. https://doi.org/10.1007/978-3-031-16103-2_18' bibtex: '@inproceedings{Löhr_Brennig_Bartelheimer_Beverungen_Müller_2022, title={Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing}, DOI={10.1007/978-3-031-16103-2_18}, booktitle={International Conference on Business Process Management}, author={Löhr, Bernd and Brennig, Katharina and Bartelheimer, Christian and Beverungen, Daniel and Müller, Oliver}, year={2022} }' chicago: 'Löhr, Bernd, Katharina Brennig, Christian Bartelheimer, Daniel Beverungen, and Oliver Müller. “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.” In International Conference on Business Process Management, 2022. https://doi.org/10.1007/978-3-031-16103-2_18.' ieee: 'B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, and O. Müller, “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing,” 2022, doi: 10.1007/978-3-031-16103-2_18.' mla: 'Löhr, Bernd, et al. “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.” International Conference on Business Process Management, 2022, doi:10.1007/978-3-031-16103-2_18.' short: 'B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, O. Müller, in: International Conference on Business Process Management, 2022.' date_created: 2023-01-16T11:04:54Z date_updated: 2024-01-11T11:35:54Z department: - _id: '196' doi: 10.1007/978-3-031-16103-2_18 language: - iso: eng publication: International Conference on Business Process Management publication_identifier: isbn: - 978-3-031-16103-2 status: public title: 'Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing' type: conference user_id: '51905' year: '2022' ... --- _id: '42631' abstract: - lang: eng text: In recent years, many cases of deep neural networks failing dramatically when faced with adversarial or real-world examples have been reported. Such failures, which are quite hard to detect, are often related to a generalization problem known as shortcut learning. Yet, with state-of-the-art transformer models now being ubiquitous in financial text mining, one cannot help but wonder how reliable the results conveyed in the ever-growing literature genuinely are. Against this background, we expose, in this work, how vulnerable contemporary financial text mining approaches are to shortcut learning. Focussing on the common learning task of financial sentiment classification, we assess, using two entity-based sampling strategies and our publicly-available dataset, the discrepancies between i.i.d. and o.o.d. performance estimates of four transformer models. Our results reveal that o.o.d. performance estimates are consistently weaker than those of their i.i.d. counterparts, with the error rate increasing by as much as 29.7%, thus, demonstrating how this issue can, when overlooked, lead to misleading evaluations. Moreover, we show how additional preprocessing steps, such as entity removal and vocabulary filtering, can help reduce the effects of shortcut learning by filtering out entity-related linguistic cues. author: - first_name: Matthew full_name: Caron, Matthew id: '60721' last_name: Caron citation: ama: 'Caron M. Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. In: 2022 IEEE International Conference on Big Data (Big Data). IEEE; 2022. doi:10.1109/bigdata55660.2022.10020933' apa: 'Caron, M. (2022). Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. 2022 IEEE International Conference on Big Data (Big Data). 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan. https://doi.org/10.1109/bigdata55660.2022.10020933' bibtex: '@inproceedings{Caron_2022, title={Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift}, DOI={10.1109/bigdata55660.2022.10020933}, booktitle={2022 IEEE International Conference on Big Data (Big Data)}, publisher={IEEE}, author={Caron, Matthew}, year={2022} }' chicago: 'Caron, Matthew. “Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift.” In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. https://doi.org/10.1109/bigdata55660.2022.10020933.' ieee: 'M. Caron, “Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift,” presented at the 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, doi: 10.1109/bigdata55660.2022.10020933.' mla: 'Caron, Matthew. “Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift.” 2022 IEEE International Conference on Big Data (Big Data), IEEE, 2022, doi:10.1109/bigdata55660.2022.10020933.' short: 'M. Caron, in: 2022 IEEE International Conference on Big Data (Big Data), IEEE, 2022.' conference: end_date: 2022-12-20 location: Osaka, Japan name: 2022 IEEE International Conference on Big Data (Big Data) start_date: 2022-12-17 date_created: 2023-02-28T08:29:30Z date_updated: 2024-01-15T12:32:06Z department: - _id: '196' doi: 10.1109/bigdata55660.2022.10020933 language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/10020933 publication: 2022 IEEE International Conference on Big Data (Big Data) publication_identifier: eisbn: - 978-1-6654-8045-1 publication_status: published publisher: IEEE status: public title: 'Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift' type: conference user_id: '60721' year: '2022' ... --- _id: '25113' abstract: - lang: eng text: Our world is more connected than ever before. Sadly, however, this highly connected world has made it easier to bully, insult, and propagate hate speech on the cyberspace. Even though researchers and companies alike have started investigating this real-world problem, the question remains as to why users are increasingly being exposed to hate and discrimination online. In fact, the noticeable and persistent increase in harmful language on social media platforms indicates that the situation is, actually, only getting worse. Hence, in this work, we show that contemporary ML methods can help tackle this challenge in an accurate and cost-effective manner. Our experiments demonstrate that a universal approach combining transfer learning methods and state-of-the-art Transformer architectures can trigger the efficient development of toxic language detection models. Consequently, with this universal approach, we provide platform providers with a simplistic approach capable of enabling the automated moderation of user-generated content, and as a result, hope to contribute to making the web a safer place. author: - first_name: Matthew full_name: Caron, Matthew id: '60721' last_name: Caron - first_name: Frederik S. full_name: Bäumer, Frederik S. last_name: Bäumer - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller citation: ama: 'Caron M, Bäumer FS, Müller O. Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. In: 55th Hawaii International Conference on System Sciences (HICSS). ; 2022.' apa: 'Caron, M., Bäumer, F. S., & Müller, O. (2022). Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. 55th Hawaii International Conference on System Sciences (HICSS). 55th Hawaii International Conference on System Sciences (HICSS), Online.' bibtex: '@inproceedings{Caron_Bäumer_Müller_2022, title={Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models}, booktitle={55th Hawaii International Conference on System Sciences (HICSS)}, author={Caron, Matthew and Bäumer, Frederik S. and Müller, Oliver}, year={2022} }' chicago: 'Caron, Matthew, Frederik S. Bäumer, and Oliver Müller. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” In 55th Hawaii International Conference on System Sciences (HICSS), 2022.' ieee: 'M. Caron, F. S. Bäumer, and O. Müller, “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models,” presented at the 55th Hawaii International Conference on System Sciences (HICSS), Online, 2022.' mla: 'Caron, Matthew, et al. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” 55th Hawaii International Conference on System Sciences (HICSS), 2022.' short: 'M. Caron, F.S. Bäumer, O. Müller, in: 55th Hawaii International Conference on System Sciences (HICSS), 2022.' conference: end_date: 2022-01-07 location: Online name: 55th Hawaii International Conference on System Sciences (HICSS) start_date: 2022-01-03 date_created: 2021-09-29T10:06:24Z date_updated: 2024-01-15T12:37:10Z department: - _id: '196' language: - iso: eng main_file_link: - url: http://hdl.handle.net/10125/79428 publication: 55th Hawaii International Conference on System Sciences (HICSS) publication_status: published status: public title: 'Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models' type: conference user_id: '60721' year: '2022' ... --- _id: '53238' article_number: '101189' author: - first_name: Madjid full_name: Tavana, Madjid id: '31858' last_name: Tavana - first_name: Arash full_name: Khalili Nasr, Arash last_name: Khalili Nasr - first_name: Hassan full_name: Mina, Hassan last_name: Mina - first_name: Jerzy full_name: Michnik, Jerzy last_name: Michnik citation: ama: Tavana M, Khalili Nasr A, Mina H, Michnik J. A private sustainable partner selection model for green public-private partnerships and regional economic development. Socio-Economic Planning Sciences. 2022;83. doi:10.1016/j.seps.2021.101189 apa: Tavana, M., Khalili Nasr, A., Mina, H., & Michnik, J. (2022). A private sustainable partner selection model for green public-private partnerships and regional economic development. Socio-Economic Planning Sciences, 83, Article 101189. https://doi.org/10.1016/j.seps.2021.101189 bibtex: '@article{Tavana_Khalili Nasr_Mina_Michnik_2022, title={A private sustainable partner selection model for green public-private partnerships and regional economic development}, volume={83}, DOI={10.1016/j.seps.2021.101189}, number={101189}, journal={Socio-Economic Planning Sciences}, publisher={Elsevier BV}, author={Tavana, Madjid and Khalili Nasr, Arash and Mina, Hassan and Michnik, Jerzy}, year={2022} }' chicago: Tavana, Madjid, Arash Khalili Nasr, Hassan Mina, and Jerzy Michnik. “A Private Sustainable Partner Selection Model for Green Public-Private Partnerships and Regional Economic Development.” Socio-Economic Planning Sciences 83 (2022). https://doi.org/10.1016/j.seps.2021.101189. ieee: 'M. Tavana, A. Khalili Nasr, H. Mina, and J. Michnik, “A private sustainable partner selection model for green public-private partnerships and regional economic development,” Socio-Economic Planning Sciences, vol. 83, Art. no. 101189, 2022, doi: 10.1016/j.seps.2021.101189.' mla: Tavana, Madjid, et al. “A Private Sustainable Partner Selection Model for Green Public-Private Partnerships and Regional Economic Development.” Socio-Economic Planning Sciences, vol. 83, 101189, Elsevier BV, 2022, doi:10.1016/j.seps.2021.101189. short: M. Tavana, A. Khalili Nasr, H. Mina, J. Michnik, Socio-Economic Planning Sciences 83 (2022). date_created: 2024-04-04T15:50:16Z date_updated: 2024-04-15T13:16:33Z department: - _id: '277' doi: 10.1016/j.seps.2021.101189 intvolume: ' 83' keyword: - Management Science and Operations Research - Statistics - Probability and Uncertainty - Strategy and Management - Economics and Econometrics - Geography - Planning and Development language: - iso: eng publication: Socio-Economic Planning Sciences publication_identifier: issn: - 0038-0121 publication_status: published publisher: Elsevier BV status: public title: A private sustainable partner selection model for green public-private partnerships and regional economic development type: journal_article user_id: '51811' volume: 83 year: '2022' ... --- _id: '53240' author: - first_name: Madjid full_name: Tavana, Madjid id: '31858' last_name: Tavana - first_name: Abdolreza full_name: Azadmanesh, Abdolreza last_name: Azadmanesh - first_name: Arash Khalili full_name: Nasr, Arash Khalili last_name: Nasr - first_name: Hassan full_name: Mina, Hassan last_name: Mina citation: ama: Tavana M, Azadmanesh A, Nasr AK, Mina H. A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry. Current Issues in Tourism. 2022;25(22):3709-3734. doi:10.1080/13683500.2021.2015299 apa: Tavana, M., Azadmanesh, A., Nasr, A. K., & Mina, H. (2022). A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry. Current Issues in Tourism, 25(22), 3709–3734. https://doi.org/10.1080/13683500.2021.2015299 bibtex: '@article{Tavana_Azadmanesh_Nasr_Mina_2022, title={A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry}, volume={25}, DOI={10.1080/13683500.2021.2015299}, number={22}, journal={Current Issues in Tourism}, publisher={Informa UK Limited}, author={Tavana, Madjid and Azadmanesh, Abdolreza and Nasr, Arash Khalili and Mina, Hassan}, year={2022}, pages={3709–3734} }' chicago: 'Tavana, Madjid, Abdolreza Azadmanesh, Arash Khalili Nasr, and Hassan Mina. “A Multicriteria-Optimization Model for Cultural Heritage Renovation Projects and Public-Private Partnerships in the Hospitality Industry.” Current Issues in Tourism 25, no. 22 (2022): 3709–34. https://doi.org/10.1080/13683500.2021.2015299.' ieee: 'M. Tavana, A. Azadmanesh, A. K. Nasr, and H. Mina, “A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry,” Current Issues in Tourism, vol. 25, no. 22, pp. 3709–3734, 2022, doi: 10.1080/13683500.2021.2015299.' mla: Tavana, Madjid, et al. “A Multicriteria-Optimization Model for Cultural Heritage Renovation Projects and Public-Private Partnerships in the Hospitality Industry.” Current Issues in Tourism, vol. 25, no. 22, Informa UK Limited, 2022, pp. 3709–34, doi:10.1080/13683500.2021.2015299. short: M. Tavana, A. Azadmanesh, A.K. Nasr, H. Mina, Current Issues in Tourism 25 (2022) 3709–3734. date_created: 2024-04-04T15:51:30Z date_updated: 2024-04-15T13:17:05Z department: - _id: '277' doi: 10.1080/13683500.2021.2015299 intvolume: ' 25' issue: '22' keyword: - Tourism - Leisure and Hospitality Management - Geography - Planning and Development language: - iso: eng page: 3709-3734 publication: Current Issues in Tourism publication_identifier: issn: - 1368-3500 - 1747-7603 publication_status: published publisher: Informa UK Limited status: public title: A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry type: journal_article user_id: '51811' volume: 25 year: '2022' ...