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A resilience model for cold chain logistics of perishable products

Imran Ali (School of Management, University of South Australia Business School, Adelaide, Australia) (The Department of Logistics and Supply Chain Management, Australian Institute of Business, Adelaide, Australia)
Sev Nagalingam (School of Management, University of South Australia Business School, Adelaide, Australia)
Bruce Gurd (School of Management, University of South Australia Business School, Adelaide, Australia)

The International Journal of Logistics Management

ISSN: 0957-4093

Article publication date: 8 June 2018

Issue publication date: 17 August 2018

4208

Abstract

Purpose

Most of the extant literature on resilience builds on normative, conceptual or silo approaches, thereby lacking an integrative approach to cold chain logistics risks (CCLRs) and resilience. The purpose of this paper is to bridge the current research gap by developing a model, based on broad empirical evidence, of the interplay between CCLRs, resilience and firm performance (FP) in perishable product supply chains (PPSCs).

Design/methodology/approach

A mixed method approach is used with qualitative data from interviews and quantitative data from a survey across the supply chain. The analysis is framed by contingency theory and resource-based theory.

Findings

Four significant sources of CCLRs and six resources used to build resilience are identified. Then, supply chain resilience (SCR) as a moderator of the negative relationship between CCLRs and FP is corroborated.

Practical implications

The findings will help improve managerial understandings of critical sources of risks in cold chain logistics and resources indispensable to build resilience. The scope of the research is cold chain logistics for PPSCs, which has relevance to other cold supply chains as well.

Originality/value

While some theoretical frameworks suggest resilience being a moderator in the negative relationship between cold chain risks and a firm’s performance, this study empirically tests this relationship using the survey across the entire supply chain. A new empirically and theoretically driven definition of SCR is also developed.

Keywords

Acknowledgements

This paper forms part of a special section “Next-generation cold supply chain management: research, applications and challenges”.

Citation

Ali, I., Nagalingam, S. and Gurd, B. (2018), "A resilience model for cold chain logistics of perishable products", The International Journal of Logistics Management, Vol. 29 No. 3, pp. 922-941. https://doi.org/10.1108/IJLM-06-2017-0147

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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