With family businesses entering the peak period of intergenerational succession,how to achieve simultaneous advance-ment of family succession and innovation becomes a key issue.Considering that firm innovation decisions are complex processes driven by multiple factors,and based on the family-driven innovation framework encompassing three dimensions of family ability as discretion,resources and willingness,we explored the influence mechanism of successor characteristics and their succession context(founder traits and firm background)on firm innovation in the context of intergenerational inheritance with the fuzzy set qualitative comparative analysis(fsQCA)method.Analyzing 131 samples of family businesses that have undergone second-gen-eration succession,the findings of this paper unveiled six configurations characterized by high innovation input.These configura-tions can be categorized into four pathways:the first entails professional support,wherein professional managers assist the succes-sors implement firm innovation;the second embodies nurturing and assisting,involving founders devising long-term plans to propel innovation;the third encompasses cooperative game-breaking,with founders and successors collaboratively overcoming performance dilemmas;and the fourth encompasses second-generation-lead succession,with the successors'extensive experi-ence driving innovation.Among them,the"preparing for the future"type of nurturing and assisting succession is conducive to innovation output,while the second-generation-lead succession is conducive to innovation output and efficiency simultaneous-ly.The research has contributed greatly to the application context of family-driven innovation framework and enriched the meth-odological basis of family business innovation research.The research will provide insights for successful intergenerational succes-sion and sustainable development of family businesses.
关键词
家族企业/创新/传承/家族驱动创新/模糊集定性比较分析
Key words
family firm/innovation/succession/family-driven innovation/fuzzy set qualitative comparative analysis(fsQCA)