<p>The digital servitization ecosystem is a multidimensional organizational environment that empowers the manufacturing industry’s service transformation via digital technology, aiming at value co-creation. However, whether effective data resource sharing can be achieved among multiple entities is a crucial factor influencing the value creation/destruction of the digital servitization ecosystem. Through the construction of a three-agent game model encompassing digital service integrators, product suppliers, and customers, this paper utilizes dynamic evolutionary game theory in conjunction with numerical simulation to explore the stable strategies of the three agents. The results indicate the following: (1) there are three stable points in the evolution of the digital servitization ecosystem, data benevolently by digital service integrators, data benevolently by product suppliers, and comprehensive Sharing by customers, which are the ideal stable strategies for system evolution; (2) digital service integrators’ decisions are independent, product suppliers’ decisions are stable, and customers’ decisions show strong learning characteristics; (3) data value conversion capability, data resource quality, digital service level, and penalty amounts have a positive effect on the digital servitization ecosystem’s evolution toward the ideal state, while speculative gains and risk costs have a negative effect on this evolution.</p>

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Investigating data value co-creation in the digital servitization ecosystem: An evolutionary game perspective

  • Yongtao Peng,
  • Jiawei Sun,
  • Yanchao Hou

摘要

The digital servitization ecosystem is a multidimensional organizational environment that empowers the manufacturing industry’s service transformation via digital technology, aiming at value co-creation. However, whether effective data resource sharing can be achieved among multiple entities is a crucial factor influencing the value creation/destruction of the digital servitization ecosystem. Through the construction of a three-agent game model encompassing digital service integrators, product suppliers, and customers, this paper utilizes dynamic evolutionary game theory in conjunction with numerical simulation to explore the stable strategies of the three agents. The results indicate the following: (1) there are three stable points in the evolution of the digital servitization ecosystem, data benevolently by digital service integrators, data benevolently by product suppliers, and comprehensive Sharing by customers, which are the ideal stable strategies for system evolution; (2) digital service integrators’ decisions are independent, product suppliers’ decisions are stable, and customers’ decisions show strong learning characteristics; (3) data value conversion capability, data resource quality, digital service level, and penalty amounts have a positive effect on the digital servitization ecosystem’s evolution toward the ideal state, while speculative gains and risk costs have a negative effect on this evolution.