Leverage risks for supply chain robustness against corruption

Xiaojing Liu, Tiru Arthanari, Yangyan Shi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: This paper examines the establishment of supply chain robustness against corruption by utilizing risk interactions.

Design/methodology/approach: Based on empirical results from the New Zealand dairy industry, a system dynamics model is established to explore the underlying relationships among variables.

Findings: The results show that although certain supply chain risks seem unrelated to corruption, their mitigation would help mitigate the impact of corruption due to risk interactions; and mitigation of some of the risks is more effective in mitigating the impact of corruption. Leverage risks have been defined and identified in this research, which expands the extant knowledge in reducing the impact of corruption on supply chains.

Originality/value: The research illustrates how the impact of corruption can be studied in an integrated way with dairy supply chain SD analysis. It is a pioneering study to mitigate the impact of corruption on supply chains from supply chain robustness.

Original languageEnglish
Pages (from-to)1496-1521
Number of pages26
JournalIndustrial Management and Data Systems
Volume121
Issue number7
Early online date29 Apr 2021
DOIs
Publication statusPublished - 5 Jul 2021

Keywords

  • Corruption
  • Dairy industry
  • New Zealand
  • Risk management
  • Supply chain robustness
  • System dynamics modeling

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