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Dynamics of Ecosystem Governance on a Technology Platform: Network analysis of Siemens MindSphere partners

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  • Kazuyuki MOTOHASHI
  • Alireza EMAMI JAVID

Abstract

To develop an innovation ecosystem and maintain a healthy ecosystem through contributions from partners, the ecosystem owner must balance exercising control over the partners and allowing them autonomy in their activities. While a large body of literature discusses the comparative statics of the optimal degree of “control” over “autonomy”, few studies empirically investigate governance model dynamics during ecosystem development. This study sheds new light on this issue using information from the Siemens IoT Platform called MindSphere. Specifically, by measuring the similarity among the partners in terms of their business domain, we constructed an indicator of complementarity among platform participants. We then evaluate Siemens’s platform governance strategy using Burt’s constraint index (measuring structural holes in network data). Siemens changed its governance model from facilitating mutual complementarity among partners in the early stage of platform development to inducing more competition in its later stage using network externality as a centripetal force.

Suggested Citation

  • Kazuyuki MOTOHASHI & Alireza EMAMI JAVID, 2024. "Dynamics of Ecosystem Governance on a Technology Platform: Network analysis of Siemens MindSphere partners," Discussion papers 24027, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:24027
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    References listed on IDEAS

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    1. Milgrom, Paul & Roberts, John, 1990. "Rationalizability, Learning, and Equilibrium in Games with Strategic Complementarities," Econometrica, Econometric Society, vol. 58(6), pages 1255-1277, November.
    2. Kazuyuki MOTOHASHI, 2021. "Progress of Digital Platforms and their Impact on Japan's Industrial Competitiveness," Policy Discussion Papers 21001, Research Institute of Economy, Trade and Industry (RIETI).
    3. Jarryd Daymond & Eric Knight & Maria Rumyantseva & Steven Maguire, 2023. "Managing ecosystem emergence and evolution: Strategies for ecosystem architects," Strategic Management Journal, Wiley Blackwell, vol. 44(4), pages 1-27, April.
    4. Geoffrey G. Parker & Marshall W. Van Alstyne, 2005. "Two-Sided Network Effects: A Theory of Information Product Design," Management Science, INFORMS, vol. 51(10), pages 1494-1504, October.
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