Leverage risks for supply chain robustness against corruption

被引：3

作者：

Liu, Xiaojing ^{[1
,2
]}

Arthanari, Tiru ^{[2
]}

Shi, Yangyan ^{[3
,4
]}

机构：

[1] Zhejing Sci Tech Univ, Sch Econ & Management, Hangzhou, Peoples R China

[2] Univ Auckland, Business Sch, ISOM Dept, Auckland, New Zealand

[3] Shanxi Univ, Sch Econ & Management, Taiyuan, Peoples R China

[4] Macquarie Univ, Macquarie Business Sch, Dept Management, Sydney, NSW, Australia

来源：

INDUSTRIAL MANAGEMENT & DATA SYSTEMS | 2021年 / 121卷 / 07期

关键词：

Corruption; Supply chain robustness; Risk management; System dynamics modeling; Dairy industry; New Zealand; DECISION-MAKING; SYSTEM DYNAMICS; MANAGEMENT; SIMULATION; ANTECEDENTS; MITIGATION; STRATEGIES; OPERATIONS; FRAMEWORK; MODEL;

D O I：

10.1108/IMDS-10-2020-0587

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：1496 / 1521

页数：26

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