The Effect of Participative Leadership on Followership: An Empirical Study Based on Hierarchical Regression Analysis
- DOI
- 10.2991/978-94-6463-056-5_45How to use a DOI?
- Keywords
- participative leadership; vitality at work; followership; hierarchical regression; structural equation model
- Abstract
Employee followership is very important to promote organizational development, especially in the face of crises and changes in an uncertain environment. This study is devoted to exploring the formation mechanism of employee followership. Based on affective event theory, this study examines the impact mechanism of participative leadership on employee followership. By collecting 213 employee sample data, using structural equation model and Bootstrap mediation effect method to conduct empirical test, the study found that participative leadership has a positive impact on employee followership. Vitality at work partially mediates the relationship between participative leadership and followership. The results of the research not only confirm the mechanism of participative leadership on followership, but also reveal the black box of the influencing process, but also enrich the application scope of affective event theory to a certain extent, and provide theoretical basis and management inspiration for enterprises to improve employee followership.
- 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 - Shushu Li AU - Jianju Wang AU - Shuai Peng PY - 2022 DA - 2022/12/29 TI - The Effect of Participative Leadership on Followership: An Empirical Study Based on Hierarchical Regression Analysis BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 314 EP - 319 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_45 DO - 10.2991/978-94-6463-056-5_45 ID - Li2022 ER -