Making dairy supply chains robust against corruption risk: a systemic exploratory study

Xiaojing Liu, Tiru Arthanari, Yangyan Shi

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Purpose: To improve robustness of a dairy supply chain (SC) against corruption, the purpose of this paper is to propose a systemic model of a corruption impacted dairy SC, exposing relationships among SC operations, risks and the impact of corruption.

Design/methodology/approach: Cases from the dairy industry in New Zealand (NZ) are used for thematic analysis of interview data collected from participants at senior levels of NZ dairy firms. Based on these and other inputs from literature, a systemic model is built subsequently.

Findings: Mitigating certain risks can significantly alleviate the impact of corruption, an external factor, on supply chain performance (SCP). The causal loop diagram (CLD) developed here brings out the modifying effect of corruption on dairy risks and SCP.

Practical implications: The illustration of the CLD helps business managers better understand the interactions among risk variables and explains the systemic reasons for SC vulnerability. 

Originality/value: This is the first paper to construct a holistic system to comprehensively reveal the interactions of supply chain risks (SCRs) and the impact of corruption. Also, by utilizing SCR interactions, this study indicates a pathway to mitigate the negative effects of corruption through improving dairy SC robustness.

LanguageEnglish
Pages1078-1100
Number of pages23
JournalInternational Journal of Logistics Management
Volume30
Issue number4
Early online date30 Sep 2019
DOIs
Publication statusPublished - 11 Nov 2019

Fingerprint

Dairies
Supply chains
corruption
supply
New Zealand
interaction
Dairy
Supply chain
Exploratory study
Corruption
performance
Industry
vulnerability
Managers
manager
firm
industry
Interaction
methodology

Keywords

  • Australia
  • Process management
  • Qualitative interviews
  • Supply chain risk

Cite this

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Making dairy supply chains robust against corruption risk : a systemic exploratory study. / Liu, Xiaojing; Arthanari, Tiru; Shi, Yangyan.

In: International Journal of Logistics Management, Vol. 30, No. 4, 11.11.2019, p. 1078-1100.

Research output: Contribution to journalArticleResearchpeer-review

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