Research on the relationship between sharing behavior and turnover intention in WeChat Moments with organizational identity as a mediating variable
- DOI
- 10.2991/978-94-6463-102-9_155How to use a DOI?
- Keywords
- Sharing Behavior; Organizational Identity; Turnover Intention; SEM Model; Regression analysis
- Abstract
The employee turnover rate has significantly affected the stability of the organization. Because human behavior is elusive, for managers of enterprises, maintaining the stability of the organization and minimizing the loss of turnover has become one of the important contents of managers' work. Based on this mediating variable of organizational identity, this paper explores the mechanism of employees WeChat Moments sharing behavior and turnover intention. By selecting on-the-job employees as the research objects, the analysis using SPSS22 and AMOS shows that (1) sharing behavior is positively correlated with organizational identity; (2) sharing behavior is negatively correlated with turnover intention; (3) organizational identity is negatively correlated with turnover intention; (4) Organizational identity mediates the relationship between sharing behavior and turnover intention
- 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 - Jing Xiao AU - Zhang Sun AU - Ermei Zhang PY - 2022 DA - 2022/12/29 TI - Research on the relationship between sharing behavior and turnover intention in WeChat Moments with organizational identity as a mediating variable BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 1482 EP - 1491 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_155 DO - 10.2991/978-94-6463-102-9_155 ID - Xiao2022 ER -