--- _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: '34046' author: - first_name: Christin full_name: Hoffmann, Christin last_name: Hoffmann - first_name: Kirsten full_name: Thommes, Kirsten id: '72497' last_name: Thommes citation: ama: Hoffmann C, Thommes K. Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control. IEEE Transactions on Human-Machine Systems. Published online 2022:1-11. doi:10.1109/thms.2022.3212335 apa: Hoffmann, C., & Thommes, K. (2022). Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control. IEEE Transactions on Human-Machine Systems, 1–11. https://doi.org/10.1109/thms.2022.3212335 bibtex: '@article{Hoffmann_Thommes_2022, title={Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control}, DOI={10.1109/thms.2022.3212335}, journal={IEEE Transactions on Human-Machine Systems}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Hoffmann, Christin and Thommes, Kirsten}, year={2022}, pages={1–11} }' chicago: Hoffmann, Christin, and Kirsten Thommes. “Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control.” IEEE Transactions on Human-Machine Systems, 2022, 1–11. https://doi.org/10.1109/thms.2022.3212335. ieee: 'C. Hoffmann and K. Thommes, “Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control,” IEEE Transactions on Human-Machine Systems, pp. 1–11, 2022, doi: 10.1109/thms.2022.3212335.' mla: Hoffmann, Christin, and Kirsten Thommes. “Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control.” IEEE Transactions on Human-Machine Systems, Institute of Electrical and Electronics Engineers (IEEE), 2022, pp. 1–11, doi:10.1109/thms.2022.3212335. short: C. Hoffmann, K. Thommes, IEEE Transactions on Human-Machine Systems (2022) 1–11. date_created: 2022-11-10T07:49:01Z date_updated: 2023-01-09T14:05:54Z department: - _id: '178' - _id: '184' doi: 10.1109/thms.2022.3212335 keyword: - Artificial Intelligence - Computer Networks and Communications - Computer Science Applications - Human-Computer Interaction - Signal Processing - Control and Systems Engineering - Human Factors and Ergonomics language: - iso: eng page: 1-11 publication: IEEE Transactions on Human-Machine Systems publication_identifier: issn: - 2168-2291 - 2168-2305 publication_status: published publisher: Institute of Electrical and Electronics Engineers (IEEE) quality_controlled: '1' status: public title: Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers' Use of Cruise Control type: journal_article user_id: '72497' 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: '35647' author: - first_name: Beatrice Baaba full_name: Tawiah, Beatrice Baaba id: '70577' last_name: Tawiah citation: ama: Tawiah BB. Does education have an impact on patience and risk willingness? Applied Economics. 2022;54(58):6687-6702. doi:10.1080/00036846.2022.2078780 apa: Tawiah, B. B. (2022). Does education have an impact on patience and risk willingness? Applied Economics, 54(58), 6687–6702. https://doi.org/10.1080/00036846.2022.2078780 bibtex: '@article{Tawiah_2022, title={Does education have an impact on patience and risk willingness?}, volume={54}, DOI={10.1080/00036846.2022.2078780}, number={58}, journal={Applied Economics}, author={Tawiah, Beatrice Baaba}, year={2022}, pages={6687–6702} }' chicago: 'Tawiah, Beatrice Baaba. “Does Education Have an Impact on Patience and Risk Willingness?” Applied Economics 54, no. 58 (2022): 6687–6702. https://doi.org/10.1080/00036846.2022.2078780.' ieee: 'B. B. Tawiah, “Does education have an impact on patience and risk willingness?,” Applied Economics, vol. 54, no. 58, pp. 6687–6702, 2022, doi: 10.1080/00036846.2022.2078780.' mla: Tawiah, Beatrice Baaba. “Does Education Have an Impact on Patience and Risk Willingness?” Applied Economics, vol. 54, no. 58, 2022, pp. 6687–702, doi:10.1080/00036846.2022.2078780. short: B.B. Tawiah, Applied Economics 54 (2022) 6687–6702. date_created: 2023-01-10T08:14:43Z date_updated: 2023-01-10T08:15:30Z department: - _id: '281' doi: 10.1080/00036846.2022.2078780 intvolume: ' 54' issue: '58' language: - iso: eng main_file_link: - url: https://www.tandfonline.com/doi/full/10.1080/00036846.2022.2078780 page: 6687-6702 publication: Applied Economics quality_controlled: '1' status: public title: Does education have an impact on patience and risk willingness? type: journal_article user_id: '53779' volume: 54 year: '2022' ... --- _id: '35719' author: - first_name: Jens full_name: Kengelbach, Jens last_name: Kengelbach - first_name: Georg full_name: Keienburg, Georg last_name: Keienburg - first_name: Tobias full_name: Söllner, Tobias last_name: Söllner - first_name: Yiran full_name: Wang, Yiran last_name: Wang - first_name: Sönke full_name: Sievers, Sönke id: '46447' last_name: Sievers - first_name: Daniel full_name: Friedmann, Daniel last_name: Friedmann - first_name: Jesper full_name: Nielsen, Jesper last_name: Nielsen citation: ama: Kengelbach J, Keienburg G, Söllner T, et al. Green Deals Gain Steam . BCG M&A Report 2022. Published online 2022. apa: Kengelbach, J., Keienburg, G., Söllner, T., Wang, Y., Sievers, S., Friedmann, D., & Nielsen, J. (2022). Green Deals Gain Steam . BCG M&A Report 2022. bibtex: '@article{Kengelbach_Keienburg_Söllner_Wang_Sievers_Friedmann_Nielsen_2022, title={Green Deals Gain Steam }, journal={BCG M&A Report 2022}, author={Kengelbach, Jens and Keienburg, Georg and Söllner, Tobias and Wang, Yiran and Sievers, Sönke and Friedmann, Daniel and Nielsen, Jesper}, year={2022} }' chicago: Kengelbach, Jens, Georg Keienburg, Tobias Söllner, Yiran Wang, Sönke Sievers, Daniel Friedmann, and Jesper Nielsen. “Green Deals Gain Steam .” BCG M&A Report 2022, 2022. ieee: J. Kengelbach et al., “Green Deals Gain Steam ,” BCG M&A Report 2022, 2022. mla: Kengelbach, Jens, et al. “Green Deals Gain Steam .” BCG M&A Report 2022, 2022. short: J. Kengelbach, G. Keienburg, T. Söllner, Y. Wang, S. Sievers, D. Friedmann, J. Nielsen, BCG M&A Report 2022 (2022). date_created: 2023-01-10T09:26:24Z date_updated: 2023-01-10T09:31:54Z department: - _id: '275' language: - iso: eng publication: BCG M&A Report 2022 status: public title: 'Green Deals Gain Steam ' type: journal_article user_id: '26589' year: '2022' ... --- _id: '35722' author: - first_name: Jens full_name: Kengelbach, Jens last_name: Kengelbach - first_name: Daniel full_name: Friedman, Daniel last_name: Friedman - first_name: Georg full_name: Keienburg, Georg last_name: Keienburg - first_name: Dominik full_name: Degen, Dominik last_name: Degen - first_name: Tobias full_name: Söllner, Tobias last_name: Söllner - first_name: Yiran full_name: Wang, Yiran last_name: Wang - first_name: Sönke full_name: Sievers, Sönke id: '46447' last_name: Sievers citation: ama: Kengelbach J, Friedman D, Keienburg G, et al. Do Green Deals Create Value? . BCG M&A Report 2022. Published online 2022. apa: Kengelbach, J., Friedman, D., Keienburg, G., Degen, D., Söllner, T., Wang, Y., & Sievers, S. (2022). Do Green Deals Create Value? . BCG M&A Report 2022. bibtex: '@article{Kengelbach_Friedman_Keienburg_Degen_Söllner_Wang_Sievers_2022, title={Do Green Deals Create Value? }, journal={BCG M&A Report 2022}, author={Kengelbach, Jens and Friedman, Daniel and Keienburg, Georg and Degen, Dominik and Söllner, Tobias and Wang, Yiran and Sievers, Sönke}, year={2022} }' chicago: Kengelbach, Jens, Daniel Friedman, Georg Keienburg, Dominik Degen, Tobias Söllner, Yiran Wang, and Sönke Sievers. “Do Green Deals Create Value? .” BCG M&A Report 2022, 2022. ieee: J. Kengelbach et al., “Do Green Deals Create Value? ,” BCG M&A Report 2022, 2022. mla: Kengelbach, Jens, et al. “Do Green Deals Create Value? .” BCG M&A Report 2022, 2022. short: J. Kengelbach, D. Friedman, G. Keienburg, D. Degen, T. Söllner, Y. Wang, S. Sievers, BCG M&A Report 2022 (2022). date_created: 2023-01-10T09:33:26Z date_updated: 2023-01-10T09:35:26Z department: - _id: '275' language: - iso: eng publication: BCG M&A Report 2022 status: public title: 'Do Green Deals Create Value? ' type: journal_article user_id: '26589' year: '2022' ... --- _id: '35728' abstract: - lang: eng text: "Abstract\r\nTechnological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective." author: - first_name: Daniel full_name: Beverungen, Daniel id: '59677' last_name: Beverungen - first_name: Thomas full_name: Hess, Thomas last_name: Hess - first_name: Antonia full_name: Köster, Antonia last_name: Köster - first_name: Christiane full_name: Lehrer, Christiane last_name: Lehrer citation: ama: 'Beverungen D, Hess T, Köster A, Lehrer C. From private digital platforms to public data spaces: implications for the digital transformation. Electronic Markets. 2022;32(2):493-501. doi:10.1007/s12525-022-00553-z' apa: 'Beverungen, D., Hess, T., Köster, A., & Lehrer, C. (2022). From private digital platforms to public data spaces: implications for the digital transformation. Electronic Markets, 32(2), 493–501. https://doi.org/10.1007/s12525-022-00553-z' bibtex: '@article{Beverungen_Hess_Köster_Lehrer_2022, title={From private digital platforms to public data spaces: implications for the digital transformation}, volume={32}, DOI={10.1007/s12525-022-00553-z}, number={2}, journal={Electronic Markets}, publisher={Springer Science and Business Media LLC}, author={Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}, year={2022}, pages={493–501} }' chicago: 'Beverungen, Daniel, Thomas Hess, Antonia Köster, and Christiane Lehrer. “From Private Digital Platforms to Public Data Spaces: Implications for the Digital Transformation.” Electronic Markets 32, no. 2 (2022): 493–501. https://doi.org/10.1007/s12525-022-00553-z.' ieee: 'D. Beverungen, T. Hess, A. Köster, and C. Lehrer, “From private digital platforms to public data spaces: implications for the digital transformation,” Electronic Markets, vol. 32, no. 2, pp. 493–501, 2022, doi: 10.1007/s12525-022-00553-z.' mla: 'Beverungen, Daniel, et al. “From Private Digital Platforms to Public Data Spaces: Implications for the Digital Transformation.” Electronic Markets, vol. 32, no. 2, Springer Science and Business Media LLC, 2022, pp. 493–501, doi:10.1007/s12525-022-00553-z.' short: D. Beverungen, T. Hess, A. Köster, C. Lehrer, Electronic Markets 32 (2022) 493–501. date_created: 2023-01-10T09:52:01Z date_updated: 2023-01-10T09:53:39Z department: - _id: '526' doi: 10.1007/s12525-022-00553-z intvolume: ' 32' issue: '2' keyword: - Management of Technology and Innovation - Marketing - Computer Science Applications - Economics and Econometrics - Business and International Management language: - iso: eng page: 493-501 publication: Electronic Markets publication_identifier: issn: - 1019-6781 - 1422-8890 publication_status: published publisher: Springer Science and Business Media LLC status: public title: 'From private digital platforms to public data spaces: implications for the digital transformation' type: journal_article user_id: '21671' volume: 32 year: '2022' ... --- _id: '35732' 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 id: '49160' last_name: Bartelheimer - first_name: Philipp full_name: zur Heiden, Philipp id: '64394' last_name: zur Heiden - first_name: Hedda full_name: Lüttenberg, Hedda last_name: Lüttenberg - first_name: Daniel full_name: Beverungen, Daniel id: '59677' 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: 2023-01-10T10:00:55Z date_updated: 2023-01-10T10:02:07Z 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: '35741' abstract: - lang: eng text: AbstractBusiness process management (BPM) drives corporate success through effective and efficient processes. In recent decades, knowledge has been accumulated regarding the identification, discovery, analysis, design, implementation, and monitoring of business processes. This includes methods and tools for tackling various kinds of process change such as continuous process improvement, process reengineering, process innovation, and process drift. However, exogenous shocks, which lead to unintentional and radical process change, have been neglected in BPM research although they severely affect an organization’s context, strategy, and business processes. This research note conceptualizes the interplay of exogenous shocks and BPM in terms of the effects that such shocks can have on organizations’ overall process performance over time. On this foundation, related challenges and opportunities for BPM via several rounds of idea generation and consolidation within a diverse team of BPM scholars are identified. The paper discusses findings in light of extant literature from BPM and related disciplines, as well as present avenues for future (BPM) research to invigorate the academic discourse on the topic. alternative_title: - A Scholars’ Perspective on Challenges and Opportunities author: - first_name: Maximilian full_name: Röglinger, Maximilian last_name: Röglinger - first_name: Ralf full_name: Plattfaut, Ralf last_name: Plattfaut - first_name: Vincent full_name: Borghoff, Vincent last_name: Borghoff - first_name: Georgi full_name: Kerpedzhiev, Georgi last_name: Kerpedzhiev - first_name: Jörg full_name: Becker, Jörg last_name: Becker - first_name: Daniel full_name: Beverungen, Daniel id: '59677' last_name: Beverungen - first_name: Jan full_name: vom Brocke, Jan last_name: vom Brocke - first_name: Amy full_name: Van Looy, Amy last_name: Van Looy - first_name: Adela full_name: del-Río-Ortega, Adela last_name: del-Río-Ortega - first_name: Stefanie full_name: Rinderle-Ma, Stefanie last_name: Rinderle-Ma - first_name: Michael full_name: Rosemann, Michael last_name: Rosemann - first_name: Flavia Maria full_name: Santoro, Flavia Maria last_name: Santoro - first_name: Peter full_name: Trkman, Peter last_name: Trkman citation: ama: Röglinger M, Plattfaut R, Borghoff V, et al. Exogenous Shocks and Business Process Management. Business & Information Systems Engineering. 2022;64(5):669-687. doi:10.1007/s12599-021-00740-w apa: Röglinger, M., Plattfaut, R., Borghoff, V., Kerpedzhiev, G., Becker, J., Beverungen, D., vom Brocke, J., Van Looy, A., del-Río-Ortega, A., Rinderle-Ma, S., Rosemann, M., Santoro, F. M., & Trkman, P. (2022). Exogenous Shocks and Business Process Management. Business & Information Systems Engineering, 64(5), 669–687. https://doi.org/10.1007/s12599-021-00740-w bibtex: '@article{Röglinger_Plattfaut_Borghoff_Kerpedzhiev_Becker_Beverungen_vom Brocke_Van Looy_del-Río-Ortega_Rinderle-Ma_et al._2022, title={Exogenous Shocks and Business Process Management}, volume={64}, DOI={10.1007/s12599-021-00740-w}, number={5}, journal={Business & Information Systems Engineering}, publisher={Springer Science and Business Media LLC}, author={Röglinger, Maximilian and Plattfaut, Ralf and Borghoff, Vincent and Kerpedzhiev, Georgi and Becker, Jörg and Beverungen, Daniel and vom Brocke, Jan and Van Looy, Amy and del-Río-Ortega, Adela and Rinderle-Ma, Stefanie and et al.}, year={2022}, pages={669–687} }' chicago: 'Röglinger, Maximilian, Ralf Plattfaut, Vincent Borghoff, Georgi Kerpedzhiev, Jörg Becker, Daniel Beverungen, Jan vom Brocke, et al. “Exogenous Shocks and Business Process Management.” Business & Information Systems Engineering 64, no. 5 (2022): 669–87. https://doi.org/10.1007/s12599-021-00740-w.' ieee: 'M. Röglinger et al., “Exogenous Shocks and Business Process Management,” Business & Information Systems Engineering, vol. 64, no. 5, pp. 669–687, 2022, doi: 10.1007/s12599-021-00740-w.' mla: Röglinger, Maximilian, et al. “Exogenous Shocks and Business Process Management.” Business & Information Systems Engineering, vol. 64, no. 5, Springer Science and Business Media LLC, 2022, pp. 669–87, doi:10.1007/s12599-021-00740-w. short: M. Röglinger, R. Plattfaut, V. Borghoff, G. Kerpedzhiev, J. Becker, D. Beverungen, J. vom Brocke, A. Van Looy, A. del-Río-Ortega, S. Rinderle-Ma, M. Rosemann, F.M. Santoro, P. Trkman, Business & Information Systems Engineering 64 (2022) 669–687. date_created: 2023-01-10T10:11:16Z date_updated: 2023-01-10T10:11:56Z department: - _id: '526' doi: 10.1007/s12599-021-00740-w intvolume: ' 64' issue: '5' keyword: - Information Systems language: - iso: eng page: 669-687 publication: Business & Information Systems Engineering publication_identifier: issn: - 2363-7005 - 1867-0202 publication_status: published publisher: Springer Science and Business Media LLC status: public title: Exogenous Shocks and Business Process Management type: journal_article user_id: '21671' volume: 64 year: '2022' ...