With the rapid development of digital economy, blockchain technology, with its characteristics of decentralization, information tampering, distributed bookkeeping and storage, provides new ideas to solve the trust dilemma in supply chain collaborative sharing. Based on the characteristics of blockchain technology and evolutionary game theory, this study constructs a strategy optimization model for the implementation of blockchain technology under the shared supply chain, analyzes the sensitivity of the technical impact parameters through numerical simulation, and proposes optimization paths at the government and enterprise levels. The study adopts the replication dynamic equation and the evolutionary stability strategy as the theoretical basis, and establishes a supply chain sharing model to analyze the impact mechanism of collaborative information sharing on production cost and profit. The results show that: with the increase of the ability coefficient of supplier’s blockchain technology effort level, the optimal incentive coefficient and revenue of the manufacturer to the supplier, and the effort level of supplier information sharing are on an upward trend; with the increase of the supplier’s risk aversion coefficient, the optimal incentive coefficient of the manufacturer to the supplier decreases from 0.765 to 0.625, and the optimal effort level of the supplier’s information sharing is on a downward trend; and with the subsidy constrained case, the manufacturer benefits decrease as supplier retention utility rises. The optimization path validation analysis shows that in the enterprise satisfaction survey of five dimensions (reliability, responsiveness, agility, security, and convenience), 51-60 enterprises are satisfied and 14-31 enterprises are more satisfied, which confirms the practical application value of the optimization path. The study provides theoretical basis and practical guidance for the optimization of implementation strategy of blockchain technology in shared supply chain.
