A meta-analysis of the relationship between responsible leadership and multiple performances using R software
- DOI
- 10.2991/978-94-6463-262-0_83How to use a DOI?
- Keywords
- responsible leadership; employee performance; organizational performance; meta-analysis
- Abstract
To clarify the relationship between responsible leadership and multiple performances, a meta-analysis was conducted using R software based on 70 studies, 86 effect sizes, and a sample of 26,732 participants. The results showed that responsible leadership is positively correlated with employee task performance and organizational citizenship behavior, while negatively correlated with employee counterproductive performance. Responsible leadership is positively correlated with organizational financial performance, social performance, and environmental performance. Power distance strengthens the relationship between responsible leadership and employee organizational citizenship performance. Data sources positively strengthen the relationship between responsible leadership and employee task performance/organizational citizenship performance.
- Copyright
- © 2024 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 - Huahong Wang AU - Hong Ma AU - Liang Huang AU - Yuying Liao PY - 2023 DA - 2023/10/09 TI - A meta-analysis of the relationship between responsible leadership and multiple performances using R software BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 806 EP - 812 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_83 DO - 10.2991/978-94-6463-262-0_83 ID - Wang2023 ER -