Knowledge Sharing Model for Competitive Ecosystem on Gig Economy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 knowledgesharing 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.

Original languageEnglish
Title of host publicationProceedings - International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450372442
DOIs
Publication statusPublished - 24 Oct 2019
Event2019 International SPBPU Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019 - Saint Petersburg, Russian Federation
Duration: 24 Oct 201925 Oct 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2019 International SPBPU Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019
Country/TerritoryRussian Federation
CitySaint Petersburg
Period24/10/1925/10/19

Keywords

  • Gig economy
  • Gig worker
  • Knowledge management
  • Knowledge sharing
  • Point system
  • Soft System Methodology

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