The aim of this study is to provide some important insights for knowledge stickiness from the perspective of the characteristic of knowledge and the people engaged in the knowledge transfer. It proposes an empirical model about factors that influence knowledge stickiness.
Based on knowledge-based view (KBV), this paper systematically elaborated the research model, and then conducted a survey to test the hypotheses. Data were collected by face-to-face interviews in R&D team of knowledge-intensive firms in China. The empirical results generally support the proposed hypotheses.
The paper provides empirical insights about how the knowledge transfer willingness, transfer ability, knowledge residence, knowledge articulability and absorption ability affect the knowledge stickiness in the process of knowledge transfer in R&D team.
This paper provides guidelines about how firms should optimally respond to knowledge stickiness in knowledge transfer process practically.
The proposed framework helps to understand what factors impact knowledge stickiness in R&D teams. Furthermore, the research also provides guidelines about how firms should optimally respond to knowledge stickiness in knowledge transfer process practically from both aspects of characteristics of knowledge itself and people involved in knowledge transfer.
This study, grounded on KBV, constructs a countermeasure model of weakening knowledge stickiness, which contributes to an understanding of factors leading to the success or failure of knowledge transfer. It eventually theoretically extends the KBV of the firm and commits to improve the efficiency and effectiveness of knowledge transfer practically.
