Corporate social responsibility and employee innovative behaviors: A meta-analysis

Paruzel A, Schmidt L, Maier GW (2023)
Journal of Cleaner Production (393): 136189.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Restricted JoCP23-393-136189.pdf 945.37 KB Request a Copy
Autor*in
Abstract / Bemerkung
As innovation is crucial to an organization’s survival and can contribute to sustainability and cleaner production, researchers have recently paid closer attention to employees’ creativity and innovative behaviors in the context of corporate social responsibility strategies. This manuscript provides a quantitative synthesis on the relation between corporate social responsibility and employees’ innovative behaviors, as well as a descriptive overview of explaining mechanisms. For this purpose, a meta-analysis of primary studies on corporate social responsibility and employees’ innovative behavior was conducted, using the methods of Schmidt and Hunter. In total, k = 26 studies (N = 7,970) were statistically synthesized. The average effect size was large (ρ = .45). Moderators were investigated in subsample analyses (internal vs. external corporate social responsibility as well as human development and corporate size) and meta-regressions (gender and culture). The effect size was larger for internal than for external corporate social responsibility. Human development of the organization’s country of operation seems to have an impact on the relation between corporate social responsibility and innovative behaviors. Moreover, the effect was stronger in smaller than in bigger organizations. Practical implications are relevant for upper management, sustainability departments in organizations, and human resource management: The potential of corporate social responsibility for innovation in organizations is discussed. We stress the importance of corporate social responsibility as an organization-level determinant of employee innovative behavior for cleaner production.
Stichworte
corporate social responsibility; innovation; creativity; employees; meta-analysis
Erscheinungsjahr
2023
Zeitschriftentitel
Journal of Cleaner Production
Ausgabe
393
Art.-Nr.
136189
ISSN
0959-6526
eISSN
1879-1786
Page URI
https://pub.uni-bielefeld.de/record/2968409

Zitieren

Paruzel A, Schmidt L, Maier GW. Corporate social responsibility and employee innovative behaviors: A meta-analysis. Journal of Cleaner Production. 2023;(393): 136189.
Paruzel, A., Schmidt, L., & Maier, G. W. (2023). Corporate social responsibility and employee innovative behaviors: A meta-analysis. Journal of Cleaner Production(393), 136189. https://doi.org/10.1016/j.jclepro.2023.136189
Paruzel, Agnieszka, Schmidt, Lukas, and Maier, Günter W. 2023. “Corporate social responsibility and employee innovative behaviors: A meta-analysis”. Journal of Cleaner Production, no. 393: 136189.
Paruzel, A., Schmidt, L., and Maier, G. W. (2023). Corporate social responsibility and employee innovative behaviors: A meta-analysis. Journal of Cleaner Production:136189.
Paruzel, A., Schmidt, L., & Maier, G.W., 2023. Corporate social responsibility and employee innovative behaviors: A meta-analysis. Journal of Cleaner Production, (393): 136189.
A. Paruzel, L. Schmidt, and G.W. Maier, “Corporate social responsibility and employee innovative behaviors: A meta-analysis”, Journal of Cleaner Production, 2023, : 136189.
Paruzel, A., Schmidt, L., Maier, G.W.: Corporate social responsibility and employee innovative behaviors: A meta-analysis. Journal of Cleaner Production. : 136189 (2023).
Paruzel, Agnieszka, Schmidt, Lukas, and Maier, Günter W. “Corporate social responsibility and employee innovative behaviors: A meta-analysis”. Journal of Cleaner Production 393 (2023): 136189.
Volltext(e)
Name
JoCP23-393-136189.pdf 945.37 KB Request a Copy
Access Level
Restricted Request a Copy
Zuletzt Hochgeladen
2024-03-13T20:29:43Z
MD5 Prüfsumme
4a53a42b9328ab5b14a3bd3d1036743e


Link(s) zu Volltext(en)
Access Level
Restricted Closed Access

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Suchen in

Google Scholar