Research on the Influencing Factors of User Stickiness of Gig Platforms in the Context of Gig Economy
Authors
Qihan Zhang1, Li Li1, *
1School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China
*Corresponding author.
Email: lily691111@126.com
Corresponding Author
Li Li
Available Online 4 December 2023.
- DOI
- 10.2991/978-94-6463-304-7_38How to use a DOI?
- Keywords
- Gig Economy; Gig Platforms; User Stickiness; SOR model
- Abstract
This study explores the factors affecting the user stickiness of gig platforms. Based on the SOR theory to construct a model of the factors affecting the user stickiness of gig platforms. A questionnaire survey was used to collect 332 valid data, and the data were analyzed using SPSS and AMOS. The results show that peer communication, platform reputation, usefulness and usability affect user satisfaction and trust. User satisfaction and trust affect user stickiness and play a mediating role in it. This study can provide implications for gig platforms to enhance the stability of labor supply.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qihan Zhang AU - Li Li PY - 2023 DA - 2023/12/04 TI - Research on the Influencing Factors of User Stickiness of Gig Platforms in the Context of Gig Economy BT - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023) PB - Atlantis Press SP - 356 EP - 362 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-304-7_38 DO - 10.2991/978-94-6463-304-7_38 ID - Zhang2023 ER -