Green innovation along the dyadic relationship: the moderating role of supply chain dependence

Purpose Green innovation rapidly changes the competitive landscape to achieve environmental sustainability while enhancing firm performance. While scholars have discussed the drivers of a firm's green innovation performance, the literature has been silent on how a buyer's green innovation may influence its suppliers from a dyadic perspective. Through the lens of social contagion theory, we investigate how a buyer's green innovation influences its supplier's green innovation and the moderating effect of supply chain dependence on this relationship. Design/methodology/approach Utilizing a unique sample of 636 dyadic relationships, we empirically test the relationship between the buyer's green innovation and its supplier's green innovation by using linear regression with high-dimensional fixed effects. Findings Our study reflects that the buyer's green innovation significantly impacts the supplier's green innovation. Moreover, such a relationship is contingent on their dependence structure, which we conceptualized as supply chain dependence. Specifically, the moderating effect of supplier dependence on the relationship between the buyer's and supplier's green innovation is positive. Originality/value This study highlights the importance of dyadic relationships and dependence structures in the process of green contagion in supply chain and helps scholars and managers to better understand the power dynamics in pursuit of green innovation and sustainable operations.

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Publication Details

Journal
The International Journal of Logistics Management
Published
2025-11-21
DOI
https://doi.org/10.1108/ijlm-02-2025-0068
Primary Topic
Sustainable Supply Chain Management
Type
article
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article

Green innovation along the dyadic relationship: the moderating role of supply chain dependence

Feng Liu, Mingjie Fang, Shufeng Xiao, Mingzhen Li et al.
The International Journal of Logistics Management
Sustainable Supply Chain Management
article

Green innovation along the dyadic relationship: the moderating role of supply chain dependence

Feng Liu, Mingjie Fang, Shufeng Xiao, Mingzhen Li, Yangyan Shi
article en

Abstract

Purpose Green innovation rapidly changes the competitive landscape to achieve environmental sustainability while enhancing firm performance. While scholars have discussed the drivers of a firm's green innovation performance, the literature has been silent on how a buyer's green innovation may influence its suppliers from a dyadic perspective. Through the lens of social contagion theory, we investigate how a buyer's green innovation influences its supplier's green innovation and the moderating effect of supply chain dependence on this relationship. Design/methodology/approach Utilizing a unique sample of 636 dyadic relationships, we empirically test the relationship between the buyer's green innovation and its supplier's green innovation by using linear regression with high-dimensional fixed effects. Findings Our study reflects that the buyer's green innovation significantly impacts the supplier's green innovation. Moreover, such a relationship is contingent on their dependence structure, which we conceptualized as supply chain dependence. Specifically, the moderating effect of supplier dependence on the relationship between the buyer's and supplier's green innovation is positive. Originality/value This study highlights the importance of dyadic relationships and dependence structures in the process of green contagion in supply chain and helps scholars and managers to better understand the power dynamics in pursuit of green innovation and sustainable operations.

The International Journal of Logistics ManagementVol. 37(2)
Nanjing Agricultural University (CN), Shandong University (CN), Sookmyung Women's University (KR), Weihai Municipal Hospital (CN), Weihai Science and Technology Bureau (CN), Macquarie University (AU)
Openalex Percentile: Top 49%
Sustainable Supply Chain Management
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Green innovation along the dyadic relationship: the moderating role of supply chain dependence — Feng Liu, Mingjie Fang, et al. · The International Journal of Logistics Management (2025) | TGRS Research Map | TGRS