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Mitigating the bullwhip effect through supply chain ESG transparency: roles of digitalization and signal strength

Lin Wu (Department of Operations Management and Information Systems, Nottingham University Business School, University of Nottingham, Nottingham, UK)
Miao Wang (University of Nottingham Ningbo China, Ningbo, China)
Ajay Kumar (EMLYON Business School, Lyon, France)
Tsan-Ming Choi (School of Management, University of Liverpool, Liverpool, UK)

International Journal of Operations & Production Management

ISSN: 0144-3577

Article publication date: 14 May 2024

Issue publication date: 13 August 2024

1387

Abstract

Purpose

The call for supply chain transparency (SCT), especially the environmental, social and governance (ESG) aspect, is getting increasingly louder. Based on the signaling theory, our study investigates the operational benefit of supply chain transparency in terms of ESG (SCT-ESG). To further clarify the signaling process, the moderating roles of digitalization of the firm and signal strength are also examined.

Design/methodology/approach

Longitudinal secondary data from multiple databases are matched and analyzed using ordinary least squares (OLS) regressions to validate the proposed hypotheses.

Findings

Results suggest that with SCT-ESG, firms have a weakened disparity between production variance and demand variance, and the supply chain experiences a reduced bullwhip effect. Further, digitalization of the focal company and signal strength reinforce the negative effect of SCT-ESG on the bullwhip effect.

Originality/value

The study integrates the SCT and ESG literature through SCT-ESG, extending benefits of ESG disclosure to the supply chain context. It extends the application of the signaling theory in OSCM by including contextual factors of digitalization and signal strength.

Keywords

Citation

Wu, L., Wang, M., Kumar, A. and Choi, T.-M. (2024), "Mitigating the bullwhip effect through supply chain ESG transparency: roles of digitalization and signal strength", International Journal of Operations & Production Management, Vol. 44 No. 9, pp. 1707-1731. https://doi.org/10.1108/IJOPM-08-2023-0667

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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