TY - GEN
T1 - Knowledge Sharing Model for Competitive Ecosystem on Gig Economy
AU - Gandhi, Arfive
AU - Sensuse, Dana Indra
AU - Sucahyo, Yudho Giri
N1 - Funding Information:
This research was supported by Universitas Indonesia under the PIT 9 Grant 2019 of “Optimization of Digital Business Contribution through Platform-based Project Management Model” (No: NKB-0014/UN2.R3.1/HKP.05.00/ 2019). We would like to express our gratitude to the Faculty of Computer Science and the Directorate of Research and Community Engagement.
Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/10/24
Y1 - 2019/10/24
N2 - 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.
AB - 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.
KW - Gig economy
KW - Gig worker
KW - Knowledge management
KW - Knowledge sharing
KW - Point system
KW - Soft System Methodology
UR - http://www.scopus.com/inward/record.url?scp=85081587005&partnerID=8YFLogxK
U2 - 10.1145/3372177.3373088
DO - 10.1145/3372177.3373088
M3 - Conference contribution
AN - SCOPUS:85081587005
T3 - ACM International Conference Proceeding Series
BT - Proceedings - International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019
PB - Association for Computing Machinery
T2 - 2019 International SPBPU Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019
Y2 - 24 October 2019 through 25 October 2019
ER -