Transactive memory system and green innovation: a cross-level mediation of social network
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 17 October 2022
Issue publication date: 16 November 2022
Abstract
Purpose
The aim of this study was to investigate the impact of the transactive memory system (TMS) on green innovation and examine the mediation role of the social network at all hierarchical levels.
Design/methodology/approach
Three hypotheses were examined by performing regression analyses on survey data from manufacturing firms in China. Especially, the nested sets of data from 389 individual observations nested in 53 work teams, including individual level and collective level have been investigated.
Findings
The study results show that the TMS has a positive effect on green innovation. Furthermore, the results indicate that at the team level, structure holes' mediation in this relationship is stronger than degree centrality; at the individual level, weak ties mediation in the relationship of specialization and green innovation is stronger than strong ties, conversely, strong ties mediation in the relationship of credibility and green innovation is stronger than weak ties.
Originality/value
This study expands previous research by highlighting the significance of multilevel social network elements in the context of the TMS and sustainable development and enriches the present research on green innovation.
Keywords
Acknowledgements
This paper has been funded by the Zhejiang Provincial Social Science Foundation; 21NDQN244YB, the Zhejiang Province Soft Science Project; 2022C35019 and the NSFC Project; 72072162.
Citation
Xiao, Y., Cen, J. and Hao, J. (2022), "Transactive memory system and green innovation: a cross-level mediation of social network", Industrial Management & Data Systems, Vol. 122 No. 12, pp. 2737-2761. https://doi.org/10.1108/IMDS-04-2021-0254
Publisher
:Emerald Publishing Limited
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