Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_38
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_38How to use a DOI?
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  -