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Complex supply chain structures and multi-scope GHG emissions: the moderation effect of reducing equivocality

M. Cristina De Stefano (Department of Management, Universidad Complutense de Madrid, Madrid, Spain)
Maria J. Montes-Sancho (Department of Business Administration, Universidad Carlos III de Madrid, Getafe, Spain)

International Journal of Operations & Production Management

ISSN: 0144-3577

Article publication date: 30 May 2023

Issue publication date: 26 April 2024

421

Abstract

Purpose

Climate change requires the reduction of direct and indirect greenhouse gas (GHG) emissions, a task that seems to clash with increasing supply chain complexity. This study aims to analyse the upstream supply chain complexity dimensions suggesting the importance of understanding the information processing that these may entail. Reducing equivocality can be an issue in some dimensions, requiring the introduction of written guidelines to moderate the effects of supply chain complexity dimensions on GHG emissions at the firm and supply chain level.

Design/methodology/approach

A three-year panel data was built with information obtained from Bloomberg, Trucost and Compustat. Hypotheses were tested using random effect regressions with robust standard errors on a sample of 394 SP500 companies, addressing endogeneity through the control function approach.

Findings

Horizontal complexity reduces GHG emissions at the firm level, whereas vertical and spatial complexity dimensions increase GHG emissions at the firm and supply chain level. Although the introduction of written guidelines neutralises the negative effects of vertical complexity on firm and supply chain GHG emissions, it is not sufficient in the presence of spatial complexity.

Originality/value

This paper offers novel insights by suggesting that managers need to reconcile the potential trade-off effects on GHG emissions that horizontally complex supply chain structures can present. Their priority in vertically and spatially complex supply chain structures should be to reduce equivocality.

Keywords

Acknowledgements

All authors have contributed equally to this work.

Funding: This work was supported by the Ministerio de Ciencia, Innovación y Universidades (Grant # PID2019-105616RB-I00).

Citation

De Stefano, M.C. and Montes-Sancho, M.J. (2024), "Complex supply chain structures and multi-scope GHG emissions: the moderation effect of reducing equivocality", International Journal of Operations & Production Management, Vol. 44 No. 5, pp. 952-986. https://doi.org/10.1108/IJOPM-11-2022-0759

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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