Knowledge Sharing Model for Competitive Ecosystem on Gig Economy

Abstract

Digital business with gig economy scheme had no culture to share knowledge since strictly competition among gig workers. It affects gig workers' limited ability and knowledge to accomplish projects and reduce their performance. This study proposed a knowledge-sharing model to articulate insightful knowledge from scattered tacit and explicit knowledge by keep personal data and copyright. It performed Soft System Methodology to facilitate conceptualization process from founded problem until strategies formulation. It generated artifacts to clarify problems and elaborates their solutions. By decomposing the problems into fishbone analysis, this study has identified who are the involved stakeholders and how the knowledge management should run. It became root cause as baseline to conceptualize a knowledge sharing model among gig workers. As the result, this study delivered a knowledge sharing model which relied on point system to engage gig workers' participation to externalize their knowledge in knowledge repository and expert should validate them before knowledge storing. To achieve more qualified model, this study relied on validation by representative gig workers and platform applications. This model contributes to mediate knowledge circulation among gig workers by encourage their extrinsic motivation. Hence, it can deliver innovative solution to enhance digital business on modern society through gig worker empowerment.