The Impact of Servant Leadership on Employees’ Innovation: An Empirical Study Based on Hierarchical Regression Analysis
- DOI
- 10.2991/978-94-6463-056-5_126How to use a DOI?
- Keywords
- Employees’ innovation; Servant leadership; Leadership trust; Leadership-member exchange theory; Structural equation modeling; Hierarchical regression analysis
- Abstract
Employees’ innovation is a key determinant for companies to achieve competitive advantage and success. However, there is a relative lack of research on the relationship and mechanisms of action between servant leadership and employees’ innovation behavior. Therefore, based on the leadership-member exchange theory, this study explores the relationship between servant leadership and employees’ innovative behavior and the mediating role of leadership trust from the perspective of the employee-leadership relationship. Data were collected from 346 employees in Guizhou, China. We used SPSS26.0 and Amos24 to perform structural equation modeling and hierarchical regression analysis on the collected data. The results found that servant leadership positively influenced employees’ innovation behavior; leadership trust mediated the relationship between servant leadership and employees’ innovation behavior.
- 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 - Tanghong Luo PY - 2022 DA - 2022/12/29 TI - The Impact of Servant Leadership on Employees’ Innovation: 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 - 874 EP - 879 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_126 DO - 10.2991/978-94-6463-056-5_126 ID - Luo2022 ER -