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Ecosystem orchestration practices for industrial firms: A qualitative meta-analysis, framework development and research agenda

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  • Lei Shen
  • Qingyue Shi
  • Vinit Parida
  • Marin Jovanovic

Abstract

This study ventures into the dynamic realm of ecosystem orchestration for industrial firms, emphasizing its significance in maintaining competitive advantage in the digital era. The fragmented research on this important subject poses challenges for firms aiming to navigate and capitalize on ecosystem orchestration. To bridge this knowledge gap, we conducted a comprehensive qualitative meta-analysis of 31 case studies and identified multifaceted orchestration practices employed by industrial firms. The core contribution of this research is the illumination of five interdependent but interrelated orchestration practices: strategic design, relational, resource integration, technological, and innovation. Together, these practices are synthesized into an integrative framework termed the "Stirring Model," which serves as a practical guide to the orchestration practices. Furthermore, the conceptual framework clarifies the synergy between the identified practices and highlights their collective impact. This study proposes theoretical and practical implications for ecosystem orchestration literature and suggests avenues for further research.

Suggested Citation

  • Lei Shen & Qingyue Shi & Vinit Parida & Marin Jovanovic, 2024. "Ecosystem orchestration practices for industrial firms: A qualitative meta-analysis, framework development and research agenda," Papers 2401.04526, arXiv.org.
    • Handle: RePEc:arx:papers:2401.04526
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    References listed on IDEAS

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    1. Brice Dattée & Oliver Alexy & Erkko Autio, 2018. "Maneuvering in Poor Visibility : How Firms Play the Ecosystem Game when Uncertainty is High," Post-Print hal-02312003, HAL.
    2. Shuang Ge & Xielin Liu, 2022. "Catch-Up in Solar PV Industry of China: A Perspective of Industrial Innovation Ecosystem," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 19(06), pages 1-30, October.
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