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 language | English |
|---|---|
| Pages (from-to) | 1496-1521 |
| Number of pages | 26 |
| Journal | Industrial Management and Data Systems |
| Volume | 121 |
| Issue number | 7 |
| Early online date | 29 Apr 2021 |
| DOIs | |
| Publication status | Published - 5 Jul 2021 |
Keywords
- Corruption
- Dairy industry
- New Zealand
- Risk management
- Supply chain robustness
- System dynamics modeling