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Purpose Prior literature has long argued that knowledge networks contain great opportunities for innovation, and researchers can identify these opportunities using the properties of knowledge networks (PKNs). However, previous studies have examined only the relationship between structural PKNs (s-PKNs) and innovation, ignoring the effect of qualitative PKNs (q-PKNs), which refer to the quality of the relationship between two elements. This study aims to further investigate the effects of q-PKNs on innovation. Design/methodology/approach Using a panel data set of 2,255 patents from the Chinese wind energy industry, the authors construct knowledge networks to identify more PKNs and examine these hypotheses. Findings The results show that q-PKNs significantly influence recombinant innovation (RI), reflecting the importance of q-PKNs analysed in this study. Moreover, the results suggest that the combinational potential of an element with others may be huge at different levels of q-PKNs. Originality/value This study advances the understanding of PKNs and RI by exploring how q-PKNs impact RI. At different levels of PKNs, the potential of the elements to combine with others and form innovation are different. Researchers can more accurately identify the opportunities for RI using two kinds of PKNs. The findings also provide important implications on how government should provide support for R&D firms.

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IntroductionKnowledge transfer from older to younger employees plays a key role in lessening knowledge loss and maintaining firms' competitiveness. While the disharmony derived from a salient age difference between younger and older workers hinders such knowledge transfer. This study aims to construct a rapport model to address it.MethodsData from 318 respondents in various industries were collected through a questionnaire-based survey to test the proposed model. The research hypotheses were tested using hierarchical multiple regressions.ResultsOur empirical results show that almost all rapport dimensions facilitate such knowledge transfer; The moderating role of supportive climate is strong that it enhances or replaces the effects of rapport dimensions on such knowledge transfer.DiscussionThis study contributes to research on knowledge transfer and rapport by providing a detailed understanding of the relational mechanism of the knowledge transfer from older to younger employees based on a revised model of rapport. It also serves as a reference for firms to leverage rapport-building and a supportive climate to enhance this invaluable knowledge transfer.