Data-Driven Business Model Innovation: About Barriers and New Perspectives

Tim Mosig, Claudia Lehmann () and Anne-Katrin Neyer ()
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Tim Mosig: HHL Leipzig Graduate School of Management, Center for Leading Innovation and Cooperation, Jahnallee 59 Leipzig, Saxony 04109, Germany
Claudia Lehmann: HHL Leipzig Graduate School of Management, Center for Leading Innovation and Cooperation, Jahnallee 59 Leipzig, Saxony 04109, Germany
Anne-Katrin Neyer: Chair for Human Resources Management and Business Governance, Martin-Luther-University Halle-Wittenberg Große Steinstraße 73, Halle (Saale), Saxony-Anhalt 06108, Germany

International Journal of Innovation and Technology Management (IJITM), 2021, vol. 18, issue 02, 1-32

Abstract: Today, data are increasing in importance for firms trying to create and maintain a competitive advantage. As value creation is highly dependent on this key resource, data, the necessity of re-designing firms’ business models arises. By conducting and analyzing 58 in-depth interviews, we contribute a distinct set of barriers to data-driven business model innovation showing how data-related, technology-related, aversions and regulatory hurdles are the most challenging. Based on six focus groups that discussed these findings, participants identified the necessity for a change in companies’ firm-centered perspectives on business. Hence, we propose a model of data-driven business ecosystems that aims to provide guidance for conducting successful business in a data-driven world.

Keywords: Data-driven business model innovation; barriers; open innovation; business ecosystems (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0219877020400179

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