The effect of human resource strategy on green supply chain integration: the moderating role of information systems and mutual trust
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 21 July 2023
Issue publication date: 4 August 2023
Abstract
Purpose
This study aims to explore the effect of human resource (HR) strategy (e.g. empowerment and teamwork) on green supply chain integration (e.g. green supplier and customer integration), which further leads to economic performance. Moreover, the authors examined the moderating effects of information systems and mutual trust on the relationship between HR strategy and green supply chain integration.
Design/methodology/approach
Using the empirical data from 213 Chinese manufacturing firms, this study uses structural equation modeling and hierarchical regressions to examine the conceptual model.
Findings
The study’s findings reveal that empowerment and teamwork positively enhance green supplier and customer integration. Green supplier and customer integration are positively related to economic performance. Moreover, information systems positively moderate the relationship between empowerment and green supplier integration but negatively moderate the relationship between teamwork and green supplier/customer integration. Mutual trust positively moderates the relationship between empowerment and green supplier integration and the relationship between teamwork and green customer integration.
Originality/value
This study extends the existing understanding regarding how to enhance green supply chain integration by adopting an appropriate HR strategy in the context of different levels of information systems and mutual trust.
Keywords
Acknowledgements
This research was supported by the National Natural Science Foundation of China (#72091214, #71821002).
Citation
Akhtar, F., Wang, Q. and Huo, B. (2023), "The effect of human resource strategy on green supply chain integration: the moderating role of information systems and mutual trust", Industrial Management & Data Systems, Vol. 123 No. 8, pp. 2194-2215. https://doi.org/10.1108/IMDS-01-2023-0049
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited