Research on the evolutionary game of knowledge pricing in an open innovation environment: from the perspective of social dual innovation balance

PurposeThis paper aims to find out the factors that influence the choice of dual innovation strategies in the process of knowledge pricing and transaction between first-mover and late-mover companies in an open innovation environment and also to find the key factors that affect the company's strategic choice in factors such as heterogeneous market environment, demand elasticity, exploration risk intellectual property prices and transaction cost.Design/methodology/approachThis study uses the Cournot equilibrium and Stackelberg two-stage master-slave game model to describe the evolutionary process of knowledge pricing in an open innovation environment of first-mover and late-mover companies.FindingsResearch shows that in an open innovation environment, the formation of a dual innovation strategy in the pricing process of corporate intellectual property transactions is a complex process. Changes in one-time transaction costs and changes in the inverse demand coefficient of the innovation market play the decisive role in the choice of dual innovation strategies. When the demand of the innovation market is moderate, the inverse demand coefficient of the innovation market and the one-time transaction cost has an inverted U-shaped influence relationship. As the innovation market's inverse demand coefficient and the one-time transaction cost increase at the same time, the degree of differentiation of the enterprise's dual innovation strategy choice gradually reduces; when the one-time transaction cost is the largest, the degree of strategy differentiation is minimized.Originality/valueBased on the above relationship, suggestions are made to guide enterprises in the knowledge pricing and transaction process in an open innovation environment, promote enterprises to form a dislocation development and complementary advantages in the knowledge innovation ecological chain and improve the overall innovation efficiency of the industry.

Cheap Talk With Endogenous Conflict of Interest

In a cheap‐talk setting where the conflict of interest between sender and receiver is determined endogenously by the choice of parameters θ i for each agent i, conditions are provided that determine the sign of each agent's inverse demand for θ without assuming that the most informative equilibrium will necessarily be played in the cheap talk game. For two popular functional forms of payoffs, we derive analytically tractable approximations for agent i's demand for θ. In an application where the θi's are purchased on a competitive market, we provide conditions for a competitive equilibrium to feature maximal information transmission. In a principal–agent application where the agent's θ is set by the principal, our results show that information transmission will be partial. We consider extensions where: (1) the θ's are acquired covertly rather than overtly and (2) the θ's are traded after the sender has received the information.