When Ignorance Is Not Bliss: An Empirical Analysis of Subtier Supply Network Structure on Firm Risk

被引:62
作者
Wang, Yixin [1 ]
Li, Jun [2 ]
Wu, Di [2 ]
Anupindi, Ravi [2 ]
机构
[1] Univ Illinois, Gies Coll Business, Champaign, IL 61820 USA
[2] Univ Michigan, Ross Sch Business, Ann Arbor, MI 48109 USA
基金
美国国家科学基金会;
关键词
supply chain risk management; supply network structure; subtier supply network; STOCK RETURNS; EQUITY RISK; INFORMATION; PERFORMANCE; COMPETITION; WEALTH; IMPACT; CHAINS; COST; SIZE;
D O I
10.1287/mnsc.2020.3645
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Using a multitier mapping of supply-chain relationships constructed from granular global, firm-to-firm supplier-customer linkages data, we quantify the degree of financial risk propagation from the supply network beyond firms' direct supply-chain connections and isolate structural network properties serving as significant moderators of risk propagation. We first document a baseline fact: a significant proportion of tier-2 suppliers are shared by tier-1 suppliers. We then construct two simple metrics to capture the degree of tier-2 sharing and disentangle its effect from tier-2 suppliers' own risks. We show that the focal firms' risk levels are significantly related to the proportion of shared tier-2 suppliers in their supply network, and the effect becomes monotonically stronger as their tier-2 suppliers become more highly shared. Finally, we uncover causal relationships behind these associations using a new source of exogenous, idiosyncratic risk events in an event study setting. We show that, as tier-2 suppliers are impacted by these events, focal firms experience negative abnormal returns, the magnitude of which is significantly larger when the impacted tier-2 suppliers are more heavily shared. Overall, our study uncovers the subtier network structure as an important risk source for the focal firm, with the degree of tier-2 sharing as the main moderator. Our results also provide the microfoundation for a common structure in idiosyncratic risks and suggest the importance of incorporating the effect of subtier supply network structure in the portfolio-optimization process.
引用
收藏
页码:2029 / 2048
页数:20
相关论文
共 59 条
  • [1] The Network Origins of Aggregate Fluctuations
    Acemoglu, Daron
    Carvalho, Vasco M.
    Ozdaglar, Asuman
    Tahbaz-Salehi, Alireza
    [J]. ECONOMETRICA, 2012, 80 (05) : 1977 - 2016
  • [2] Ahern K., 2013, Working Paper
  • [3] Does Inventory Productivity Predict Future Stock Returns? A Retailing Industry Perspective
    Alan, Yasin
    Gao, George P.
    Gaur, Vishal
    [J]. MANAGEMENT SCIENCE, 2014, 60 (10) : 2416 - 2434
  • [4] Disruption Risk and Optimal Sourcing in Multitier Supply Networks
    Ang, Erjie
    Iancu, Dan A.
    Swinney, Robert
    [J]. MANAGEMENT SCIENCE, 2017, 63 (08) : 2397 - 2419
  • [5] [Anonymous], 2008, WORKING PAPER
  • [6] [Anonymous], 2009, Supply Chain Forum: An International Journal, DOI DOI 10.1080/16258312.2009.11517219
  • [7] Balakrishnan R, 1996, ACCOUNT REV, V71, P183
  • [8] Input Specificity and the Propagation of Idiosyncratic Shocks in Production Networks*
    Barrot, Jean-Noel
    Sauvagnat, Julien
    [J]. QUARTERLY JOURNAL OF ECONOMICS, 2016, 131 (03) : 1543 - 1592
  • [9] Visual analysis of supply network risks: Insights from the electronics industry
    Basole, Rahul C.
    Bellamy, Marcus A.
    [J]. DECISION SUPPORT SYSTEMS, 2014, 67 : 109 - 120
  • [10] The influence of supply network structure on firm innovation
    Bellamy, Marcus A.
    Ghosh, Soumen
    Hora, Manpreet
    [J]. JOURNAL OF OPERATIONS MANAGEMENT, 2014, 32 (06) : 357 - 373