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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Tim Mosig & Claudia Lehmann & Anne-Katrin Neyer, 2021. "Data-Driven Business Model Innovation: About Barriers and New Perspectives," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 1-32, April.
    • Handle: RePEc:wsi:ijitmx:v:18:y:2021:i:02:n:s0219877020400179
    DOI: 10.1142/S0219877020400179
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