Mechanisms to motivate knowledge sharing: integrating the reward systems and social network perspectives

Abstract

Purpose – The purpose of this study is to develop a theoretical model that integrates two different mechanisms to explain knowledge sharing. First, adapted from traditional reward systems, the calculative-based mechanism (CBM) serves as the benchmark. Second, the relational-based mechanism (RBM) plays a complementary role. RBM is founded on social interaction and consists of two social network constructs: relational deposits (i.e. network and valued network centralities) and withdrawals (i.e. network and valued network densities). Design/methodology/approach – This study collected survey data in collaboration with a health-care organization. The data collected from 180 respondents were tested against the research model using a partial least squares analysis. Findings – This study found the CBM to be beneficial for knowledge sharing. The findings support the RBM prediction of a positive relationship between the deposit construct and knowledge sharing, but fail to support the RBM prediction on the withdrawal construct. The RBM explained about 15 per cent more of the variance than the CBM. In addition, the withdrawal construct of the RBM predicts respondents’ beliefs in reciprocal obligation. Research limitations/implications – RBM does not as strongly associate with economic benefits as the CBM, but it still plays a noteworthy role in increasing the possibility of an individual knowledge sharing. Originality/value – The study is the first to propose the concepts of relational deposits and withdrawals. The authors use a roster-based sociometric approach to collect the social network data and to benchmark the effect of RBM with that of CBM on individual knowledge sharing and his/her beliefs in reciprocal obligation.