A socio-technical study on knowledge contribution in problem solving virtual communities

Abstract

Increasing knowledge contribution in problem solving virtual communities (PSVCs) is a long-pursued question in the knowledge management research. In this thesis, we propose a motivational model for PSVC contributions. Based on functional motivation theory and expectancy-value theory, we highlight the mediating role of individual motivations in the relationships between PSVC mechanisms and members? knowledge contribution behavior. By taking both self-interest and public-good perspectives, we identify six types of motivations to knowledge contribution in the context of PSVCs. Besides, we also identify four major mechanisms in PSVCs that are associated with members? motivations: knowledge repository, social identity management, pro-sharing norms and reputation system. Results confirm that enjoyment motive, enhancement motive, image motive and moral obligation motive positively lead to members? knowledge contribution in PSVCs. Further, findings suggest effective knowledge repository and salient social identity are important mechanisms to promote knowledge contribution through various motivations, while pro-sharing norms only affect enjoyment motive. Implications for research and practice are offered.