Abstract:In view of the existing research lack of exploration of contribution rate and relationship strength on innovative customers’ recommendation incentive model, based on the importance of innovative customers’ participation in new product development activities and the difference with ordinary customers, this paper builds incentive model of innovative customers’ participation in new product development activities, and determines the conditions under which enterprises need to set up the recommendation incentive plan. Taking JS company as an example, the derivation of the model is verified by computer simulation. The research results show that: The recommendation incentive intensity of innovative customers is lower than that of ordinary customers, but the net profit of innovative customers is higher than that of ordinary customers; When innovative customers only recommend products/services to friends with strong relationship strength, or the number of friends with strong relationship strength is relatively large, enterprises do not need to set up the recommendation incentive plan. With the increase of innovation contribution rate of innovative customers, enterprises should reduce the recommendation incentive intensity; With the increase of the weak relationship strength between innovative customers and recipients, enterprises should increase the recommendation incentive intensity. The research provides management enlightenments for enterprises that enterprises should actively guide innovative customers to recommend products, optimize recommendation incentive plan based on the relationship strength between innovative customers and recipients, and attach importance to the authenticity of product recommendation by innovative customers.