An Empirical Study on Measuring the Success of Knowledge Repository Systems

This paper proposes and empirically validates a Knowledge Repository Systems (KRS) Success Model. Based on Mason's information influence theory, we developed a more comprehensive framework for KRS success measurement by combining DeLone and McLean's IS Success Model with Markus's knowledge reusability concept. The data were collected through a survey of 110 KRS users in China and Singapore. The empirical results demonstrate that KRS success should be measured at different stages of knowledge reuse as well as a series of influence on KRS users, and these KRS success dimensions are interrelated.