This paper investigates the cost-sharing strategies of a manufacturer, a retailer and a third-party recycler in a Stackelberg game considering government subsidy and retailer’s service effort. Next, we construct profit functions of the manufacturer, the retailer and the third-party recycler considering government subsidy and service effort for four scenarios: no cost-sharing (N), service investment cost-sharing (I), recycling investment cost-sharing (II), and both service and recycling investment cost-sharing (III). Furthermore, we obtain the optimal results and discuss the impact of cost-sharing ratio, service cost coefficient, government subsidy and service sensitivity coefficient on profits and social net benefits. The results show that the service investment cost-sharing strategy cannot achieve profit coordination, and under certain conditions, the recycling investment cost- sharing strategy and the service and recycling investment cost-sharing strategy can achieve profit coordination. In addition, changes in different factors such as government subsidy, service cost coefficients, and service sensitivity coefficients will affect the effectiveness of cost-sharing strategies.

In the process of successful establishment and development of service ecosystem organization, manufacturing companies not only pay attention to their own resources, business models and competitive advantages, but also pay attention to the positioning in the manufacturing service ecosystem and the symbiosis with other members of the system to achieve complementarity and symbiotic development of resources among members. Based on this, we take the manufacturing service ecosystem in the transformation and upgrading of the manufacturing enterprises in China as the research object, and comprehensively uses the theory of evolutionary game and ecosystem to study the symbiotic evolutionary stability of the manufacturing service ecosystem. Through simulation, we find that integrator is more sensitive to the change of rights than supplier. Our conclusions have certain reference for manufacturing companies to improve the collaborative operation efficiency of manufacturing service ecosystem.

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