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Wei Junfeng*
School of Business Administration, Jiangxi University of Finance and Economics, Nanchang 330013, China
jf@jxufe.edu.cn
Sarah M. Richardson
Department of Operations and Supply Chain Management, University of Huddersfield, Huddersfield HD1 3DH, United Kingdom
Liu Mingzhu
School of Management, Hunan University of Technology, Zhuzhou 412007, China

Abstract

Amid tightening environmental regulation and growing industrial sustainability demands, this study examines how blockchain technology adoption intensity (BTAI) generates superior eco-innovation performance (EIP) among pollution-intensive manufacturing firms. Grounded in dynamic capabilities theory and stakeholder theory, we conceptualize green supply chain collaboration (GSCC) as the critical mechanism through which blockchain-structured digital resources are converted into systemic eco-innovation outcomes. Using survey data from 389 senior managers in pollution-intensive Chinese manufacturing firms, we test a moderated mediation model. Results reveal that GSCC fully mediates the positive relationship between BTAI and EIP. Supply chain partner commitment (SPC) amplifies the enabling effect of BTAI on GSCC, whereas operational complexity (OC) attenuates it. Sustainability learning capability (SLC) positively moderates the GSCC–EIP relationship, directing integrated resources toward green innovation outcomes. These findings enrich dynamic capabilities theory in digital-ecological contexts and offer actionable guidance for practitioners seeking to leverage blockchain as a sustainability transformation tool.

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How to Cite

Wei, J., M. Richardson, S., & Liu, M. (2025). Blockchain-Enabled Green Supply Chain Collaboration and Eco-Innovation Performance: Evidence from Polluting Manufacturing Firms. Journal of Business and Green Innovation, 3(3), 14-32. https://doi.org/10.63646/jbgi.2025.030302

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