Dynamic simulation research on the effect of resource heterogeneity on knowledge transfer in R&D alliances

Hui Zhang, Minfei Zhou, Huguang Rao and Dan Zhou

Knowledge Management Research & Practice, 2021, vol. 19, issue 3, 370-386

Abstract: This paper investigates the effect of resource heterogeneity on knowledge Transfer in R&D alliances based on system dynamics method. Based on literature review, we identify the factors that affect knowledge transfer in R&D alliances, and analyse the effect of the organisational and network resource heterogeneity on knowledge transfer in R&D alliances. On this basis, we use system dynamics method to analyse the causality of the effect of the organisational and network resource heterogeneities on knowledge transfer, establish the model of system flow chart, and use Vensim PLE software to perform simulation and sensitivity analyses of the model. The results show that there is an inverted U-shaped relationship between the organisational resource heterogeneity and knowledge transfer and that network resource heterogeneity has a positive effect on knowledge transfer in R&D alliances. Our research provides valuable insights into the exploitation of resource heterogeneity in R&D alliances to facilitate effective knowledge transfer.

Date: 2021
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DOI: 10.1080/14778238.2020.1767521

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