Leverage risks for supply chain robustness against corruption
| Autor: | Tiru S. Arthanari, Xiaojing Liu, Yangyan Shi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Supply chain risk management
021103 operations research Corruption business.industry Strategy and Management media_common.quotation_subject Supply chain 05 social sciences 0211 other engineering and technologies Dairy industry 02 engineering and technology Industrial and Manufacturing Engineering Computer Science Applications Management Information Systems System dynamics Leverage (negotiation) 0502 economics and business Industrial relations business Robustness (economics) 050203 business & management Industrial organization Risk management media_common |
| Zdroj: | Industrial Management & Data Systems. 121:1496-1521 |
| ISSN: | 0263-5577 |
| Popis: | PurposeThis paper examines the establishment of supply chain robustness against corruption by utilizing risk interactions.Design/methodology/approachBased on empirical results from the New Zealand dairy industry, a system dynamics model is established to explore the underlying relationships among variables.FindingsThe 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/valueThe 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. |
| Databáze: | OpenAIRE |
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