Supply chain disruption propagation: a systemic risk and normal accident theory perspective

被引:222
|
作者
Scheibe, Kevin P. [1 ]
Blackhurst, Jennifer [2 ]
机构
[1] Iowa State Univ, Coll Business, Dept Supply Chain & Informat Syst, Ames, IA USA
[2] Univ Iowa, Dept Management Sci, Tippie Coll Business, Iowa City, IA 52242 USA
关键词
supply chain risk management; disruption management; supply chain disruption propagation; systemic risk; case study; GROUNDED THEORY; ORGANIZATIONAL IDENTITY; STRATEGIC CHANGE; NETWORK; RESILIENCE; MANAGEMENT; DYNAMICS;
D O I
10.1080/00207543.2017.1355123
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
When a disruption occurs in a firm, its effects are often felt throughout the supply chain. As supply chains expand globally and companies pursue velocity and efficiency, the probability of disruptions propagating throughout a chain grows. In this paper, we employ a qualitative, grounded theory case study approach to help understand what drives supply chain disruption propagation and to provide theoretical insights into this emerging area. For a more complete perspective, we study three interconnected tiers in seven unique supply chains. Each supply chain triad consists of (1) a focal firm (a manufacturer), (2) a supplier to the focal firm and (3) a customer of the focal firm allowing us to gain perspective from three levels in multiple supply chains. Three aggregate dimensions are defined which help explain the propagation of supply chain disruptions: the nature of the disruption, structure and dependence, and managerial decision-making. Within these dimensions, six themes are identified giving an increased level of granularity into disruption propagation: correlation of risk, compounding effects, cyclical linkages, counterparty risk, herding and misaligned incentives. Organisations should consider these themes and their interactions to effectively deal with supply chain disruptions.
引用
收藏
页码:43 / 59
页数:17
相关论文
共 50 条
  • [1] Mitigating supply chain disruptions - a normal accident perspective
    Marley, Kathryn A.
    Ward, Peter T.
    Hill, James A.
    [J]. SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2014, 19 (02) : 142 - 152
  • [2] Modeling Disruption Propagation in a Complex Supply Chain
    Tan, P. S.
    Lee, S. G.
    Tan, C. S.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2016, : 154 - 158
  • [3] Supply chain disruption and risk management
    Friesz, Terry L.
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2011, 45 (08) : 1125 - 1127
  • [4] Study on Supply Chain Disruption Risk
    Chen, Ting
    Ji, Guojun
    [J]. 2009 6TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, VOLS 1 AND 2, 2009, : 288 - 293
  • [5] Robust Supply Chain Network Design Under Facility Disruption by Consideration of Risk Propagation
    Manupati, V. K.
    Akash, Shukalya
    Illaiah, K.
    Babu, E. Suresh
    Varela, M. L. R.
    [J]. INNOVATIONS IN INDUSTRIAL ENGINEERING, 2022, : 97 - 107
  • [6] Research on Supply Chain Disruption Risk and Its Hedge Based on Reliability Theory
    Fu Shaochuan
    Han Qingming
    [J]. PROCEEDINGS OF 2ND CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCE (LISS 2012), VOLS 1 AND 2, 2013,
  • [7] Modeling supply chain disruption risk management
    Kungwalsong, K.
    Ravindran, A. Ravi
    [J]. 62nd IIE Annual Conference and Expo 2012, 2012, : 3222 - 3231
  • [8] The reduction mechanism of supply chain vulnerability based on supply chain disruption risk
    Liu, Jia-Guo
    Zhou, Yue-Xiang
    Lu, Bin
    Zhao, Jin-Lou
    [J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2015, 35 (03): : 556 - 566
  • [9] Antecedents of proactive supply chain risk management a contingency theory perspective
    Groetsch, Volker M.
    Blome, Constantin
    Schleper, Martin C.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (10) : 2842 - 2867
  • [10] Evaluating supply chain network resilience considering disruption propagation
    Habibi, Farhad
    Chakrabortty, Ripon Kumar
    Abbasi, Alireza
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 183