Investigating the Performance of Digital Business Model Innovation in Established Firms
Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics
Final Report Abstract
The project titled "Investigating the Performance of Digital Business Model Innovation in Established Firms", funded as part of the Walter Benjamin Programme, includes three studies. The first study focuses on the transition from upfront software licensing to subscription-based models. The study uses Natural Language Processing (NLP) to analyze firms' reports and confirms a positive relationship between strategic subscription intensity and firm performance. The findings contribute by providing quantitative evidence for the impact of digital business models on firm performance and by validating the method of analyzing firms' reports with NLP. The second study examines the mechanisms for governing the evolution of AI-based bots, using the example of Cluebot NG on Wikipedia. It identifies five governance mechanisms (SAFER): Scoping, Adapting, Flagging, Escalating, and Requesting, which allow humans to influence the bot's behavior. The research provides design principles for incorporating human influence and contributes to understanding algorithmic governance. The third study explores the impact of Metaverse on entrepreneurship and proposes a conceptual framework for understanding Metaverse-enabled entrepreneurship with its enablers and pathways. The study contributes to our understanding of how Metaverse influences entrepreneurship and suggests future research directions in this field.
Publications
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CONTINUOUS BUSINESS MODEL INNOVATION AND DYNAMIC CAPABILITIES: THE CASE OF CEWE. International Journal of Innovation Management, 26(06).
SCHAFFER, NORMAN; HERMES, SEBASTIAN; WEKING, JÖRG; HEIN, ANDREAS & KRCMAR, HELMUT
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Deploying AI Applications to Multiple Environments: Coping with Environmental, Data, and Predictive Variety. 43rd International Conference on Information Systems (ICIS), Copenhagen, Denmark.
Weber, M., Pfeiler, M., Hein, A., Weking, J. & Krcmar, H.
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Digital Platform Ecosystem Performance: Antecedents and Interrelations Australasian Conference on Information Systems (ACIS), Melbourne, VIC.
Floetgen, R. J., Novotny, M., Hein, A., Weking, J., Urmetzer, F., Böhm, M. & Krcmar, H.
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Organizational Capabilities for AI Implementation—Coping with Inscrutability and Data Dependency in AI. Information Systems Frontiers, 25(4), 1549-1569.
Weber, Michael; Engert, Martin; Schaffer, Norman; Weking, Jörg & Krcmar, Helmut
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Pathways to digital business models: The connection of sensing and seizing in business model innovation. The Journal of Strategic Information Systems, 31(4), 101742.
Böttcher, Timo Phillip; Weking, Jörg; Hein, Andreas; Böhm, Markus & Krcmar, Helmut
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The Good, the Bad, and the Dynamic: Changes to Retail Business Models During COVID-19. 35 th Bled eConference Digital Restructuring and Human (Re)action, 129-143. University of Maribor Press.
Böttcher, Timo Phillip; Weking, Jörg & Krcmar, Helmut
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Balancing on the Triple- Bottom-Line: Tensions in the Success Factors of Digital Business Models for Sustainability. 56th Hawaii International Conference on System Sciences (HICSS), Hawaii.
Böttcher, T. P., Petry, J., Weking, J. & Hein, A.
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Digital sustainable business models: Using digital technology to integrate ecological sustainability into the core of business models. Information Systems Journal, 34(3), 736-761.
Böttcher, Timo Phillip; Empelmann, Sarah; Weking, Jörg; Hein, Andreas & Krcmar, Helmut
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Metaverse-enabled entrepreneurship. Journal of Business Venturing Insights, 19, e00375.
Weking, Jörg; Desouza, Kevin C.; Fielt, Erwin & Kowalkiewicz, Marek
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Ownership Structures and Governance Strategies for Digital Platform Ecosystems: An Empirical Study. 31st European Conference on Information Systems, Kristiansand, Norway.
Floetgen, R. J., Winder, P., Fielt, E., Weking, J., Hein, A., Schreieck, M., Böhm, M. & Krcmar, H.
