Leverage risks for supply chain robustness against corruption

被引:4
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
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
收藏
页码:1496 / 1521
页数:26
相关论文
共 64 条
[1]  
[Anonymous], 2009, GLOBAL CORRUPTION RE
[2]  
[Anonymous], 2017, CORRUPTION PERCEPTIO
[3]   Explicating factors for companies' inclination towards corruption in Operations and supply chain management: An exploratory study in Germany [J].
Arnold, Ulli ;
Neubauer, Joerg ;
Schoenherr, Tobias .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2012, 138 (01) :136-147
[4]  
Arthanari, 2016, 34 INT C SYST DYN SO
[5]  
Arthanari T., 2014, 12 ANZAM OP SUPPL CH
[6]   Supply chain risk management - I: Conceptualization, framework and planning process [J].
Bandaly, Dia ;
Satir, Ahmet ;
Kahyaoglu, Yasemin ;
Shanker, Latha .
RISK MANAGEMENT-AN INTERNATIONAL JOURNAL, 2012, 14 (04) :249-271
[7]   Supply Network Structure, Visibility, and Risk Diffusion: A Computational Approach [J].
Basole, Rahul C. ;
Bellamy, Marcus A. .
DECISION SCIENCES, 2014, 45 (04) :753-789
[8]   THE CASE RESEARCH STRATEGY IN STUDIES OF INFORMATION-SYSTEMS [J].
BENBASAT, I ;
GOLDSTEIN, DK ;
MEAD, M .
MIS QUARTERLY, 1987, 11 (03) :369-386
[9]   Supply chain operational risk mitigation: a collaborative approach [J].
Chen, Jie ;
Sohal, Amrik S. ;
Prajogo, Daniel I. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (07) :2186-2199
[10]  
Christopher M., 2004, International Journal of Physical Distribution & Logistics Management, V34, P388, DOI 10.1108/09600030410545436