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Managing inter-organizational dependencies operation for discovering digital business model innovation in corporate innovation ecosystem

Author

Listed:
  • Fei Zhou

    (Huaqiao University)

  • Na Zhang

    (Huaqiao University)

  • Xue Li

    (Huaqiao University)

  • Chunjia Han

    (Birkbeck, University of London)

  • Brij B. Gupta

    (Asia University)

Abstract

The relevance of innovation ecosystems and digital technologies exerts pressures on the business operations management concerning inter-organizational collaboration and competition. Society pays great attention to digital business models while there is very little research bringing the fields of inter-organizational operations and digital business model innovation (BMI) together. To clarify how inter-organizational dependencies affect digital BMI in a corporate innovation ecosystem, this study conducted an empirical study of 210 companies from a corporate innovation ecosystem in China based on optimal distinctiveness theory. The results show that: (1) Joint dependence positively affects digital BMI, while asymmetry dependence negatively affects digital business model innovation; (2) Routine updating mediates the relationship between inter-organizational dependencies and digital BMI; (3) Cross-border management capabilities moderate the positive effect of routine updating on digital BMI. The study provides theoretical and practical guidelines for the management of inter-organizational dependencies operation between enterprises in the corporate innovation ecosystem.

Suggested Citation

  • Fei Zhou & Na Zhang & Xue Li & Chunjia Han & Brij B. Gupta, 2025. "Managing inter-organizational dependencies operation for discovering digital business model innovation in corporate innovation ecosystem," Operations Management Research, Springer, vol. 18(2), pages 574-590, June.
    • Handle: RePEc:spr:opmare:v:18:y:2025:i:2:d:10.1007_s12063-024-00501-4
    DOI: 10.1007/s12063-024-00501-4
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