Text-Based Measure of Supply Chain Risk Exposure

Published Online:https://doi.org/10.1287/mnsc.2023.4927

References

  • Acemoglu D, Carvalho VM, Ozdaglar A, Tahbaz-Salehi A (2012) The network origins of aggregate fluctuations. Econometrica 80(5):1977–2016.CrossrefGoogle Scholar
  • Acharya VV, Almeida H, Campello M (2013) Aggregate risk and the choice between cash and lines of credit. J. Finance 68(5):2059–2116.CrossrefGoogle Scholar
  • Ahern KR (2013) Network centrality and the cross section of stock returns. Preprint, submitted December 17, http://dx.doi.org/10.2139/ssrn.2197370.Google Scholar
  • Altman EI (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J. Finance 23(4):589–609.CrossrefGoogle Scholar
  • Ang E, Iancu DA, Swinney R (2017) Disruption risk and optimal sourcing in multitier supply networks. Management Sci. 63(8):2397–2419.LinkGoogle Scholar
  • Anupindi R, Akella R (1993) Diversification under supply uncertainty. Management Sci. 39(8):944–963.LinkGoogle Scholar
  • Babich V (2010) Independence of capacity ordering and financial subsidies to risky suppliers. Manufacturing Service Oper. Management 12(4):583–607.LinkGoogle Scholar
  • Babich V, Burnetas AN, Ritchken PH (2007) Competition and diversification effects in supply chains with supplier default risk. Manufacturing Service Oper. Management 9(2):123–146.LinkGoogle Scholar
  • Baker SR, Bloom N, Davis SJ (2016) Measuring economic policy uncertainty. Quart. J. Econom. 131(4):1593–1636.CrossrefGoogle Scholar
  • Bernanke BS (1983) Irreversibility, uncertainty, and cyclical investment. Quart. J. Econom. 98(1):85–106.CrossrefGoogle Scholar
  • Bimpikis K, Candogan O, Ehsani S (2019) Supply disruptions and optimal network structures. Management Sci. 65(12):5504–5517.LinkGoogle Scholar
  • Blanco CC (2021) Supply chain carbon footprinting and climate change disclosures of global firms. Production Oper. Management 30(9):3143–3160.CrossrefGoogle Scholar
  • Blanco CC (2022) A classification of carbon abatement opportunities of global firms. Manufacturing Service Oper. Management 24(5):2648–2665.LinkGoogle Scholar
  • Bray RL, Serpa JC, Colak A (2019) Supply chain proximity and product quality. Management Sci. 65(9):4079–4099.LinkGoogle Scholar
  • Cachon GP (2003) Supply chain coordination with contracts. Graves SC, de Kok AG, eds. Supply Chain Management: Design, Coordination and Operation, Handbooks in Operations Research and Management Science, vol. 11 (Elsevier, Amsterdam), 227–339.CrossrefGoogle Scholar
  • Campbell JL, Chen H, Dhaliwal DS, Lu H-m, Steele LB (2014) The information content of mandatory risk factor disclosures in corporate filings. Rev. Accounting Stud. 19(1):396–455.CrossrefGoogle Scholar
  • Carvalho VM, Nirei M, Saito YU, Tahbaz-Salehi A (2021) Supply chain disruptions: Evidence from the Great East Japan earthquake. Quart. J. Econom. 136(2):1255–1321.CrossrefGoogle Scholar
  • Chen FY, Yano CA (2010) Improving supply chain performance and managing risk under weather-related demand uncertainty. Management Sci. 56(8):1380–1397.LinkGoogle Scholar
  • Chod J (2017) Inventory, risk shifting, and trade credit. Management Sci. 63(10):3207–3225.LinkGoogle Scholar
  • Chod J, Lyandres E, Yang SA (2019) Trade credit and supplier competition. J. Financial Econom. 131(2):484–505.CrossrefGoogle Scholar
  • Davis AK, Ge W, Matsumoto D, Zhang JL (2015) The effect of manager-specific optimism on the tone of earnings conference calls. Rev. Accounting Stud. 20(2):639–673.CrossrefGoogle Scholar
  • Erkan G, Radev DR (2004) Lexrank: Graph-based lexical centrality as salience in text summarization. J. Artificial Intelligence Res. 22:457–479.CrossrefGoogle Scholar
  • Gyorey T, Jochim M, Norton S (2010) The challenges ahead for supply chains: McKinsey Global Survey results. McKinsey & Company (November 1), https://www.mckinsey.com/capabilities/operations/our-insights/the-challenges-ahead-for-supply-chains-mckinsey-global-survey-results.Google Scholar
  • Hassan TA, Hollander S, Van Lent L, Tahoun A (2019) Firm-level political risk: Measurement and effects. Quart. J. Econom. 134(4):2135–2202.CrossrefGoogle Scholar
  • Hassan TA, Hollander S, Van Lent L, Schwedeler M, Tahoun A (2020) Firm-level exposure to epidemic diseases: COVID-19, SARS, and H1N1. NBER working paper, National Bureau of Economic Research, Cambridge, MA.Google Scholar
  • Hendricks KB, Singhal VR (2003) The effect of supply chain glitches on shareholder wealth. J. Oper. Management 21(5):501–522.CrossrefGoogle Scholar
  • Hendricks KB, Singhal VR (2005) An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production Oper. Management 14(1):35–52.CrossrefGoogle Scholar
  • Herskovic B, Kelly B, Lustig H, Van Nieuwerburgh S (2020) Firm volatility in granular networks. J. Political Econom. 128(11):4097–4162.CrossrefGoogle Scholar
  • Ho W, Zheng T, Yildiz H, Talluri S (2015) Supply chain risk management: A literature review. Internat. J. Production Res. 53(16):5031–5069.CrossrefGoogle Scholar
  • Inoue H, Todo Y (2019) Firm-level propagation of shocks through supply chain networks. Nature Sustainability 2(9):841–847.CrossrefGoogle Scholar
  • Jain N, Wu DA (2023) Can global sourcing strategy predict stock returns? Manufacturing Service Oper. Management 25(4):1357–1375.Google Scholar
  • Jegadeesh N, Wu D (2013) Word power: A new approach for content analysis. J. Financial Econom. 110(3):712–729.CrossrefGoogle Scholar
  • Jiang F, Lee J, Martin X, Zhou G (2019) Manager sentiment and stock returns. J J. Financial Econom.132(1):126–149.CrossrefGoogle Scholar
  • Lariviere MA (1999) Supply chain contracting and coordination with stochastic demand. Tayur S, Ganeshan R, Magazine M, eds. Quantitative Models for Supply Chain Management, International Series in Operations Research & Management Science, vol. 17 (Springer, Boston), 233–268.CrossrefGoogle Scholar
  • Li F (2006) Do stock market investors understand the risk sentiment of corporate annual reports? Preprint, submitted April 26, http://dx.doi.org/10.2139/ssrn.898181.Google Scholar
  • Liu F, Song J-S, Tong JD (2016) Building supply chain resilience through virtual stockpile pooling. Production Oper. Management 25(10):1745–1762.CrossrefGoogle Scholar
  • Livnat J, Mendenhall RR (2006) Comparing the post-earnings announcement drift for surprises calculated from analyst and time series forecasts. J. Accounting Res. 44(1):177–205.CrossrefGoogle Scholar
  • Loughran T, McDonald B (2011) When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks. J. Finance 66(1):35–65.CrossrefGoogle Scholar
  • Loughran T, McDonald B (2016) Textual analysis in accounting and finance: A survey. J. Accounting Res. 54(4):1187–1230.CrossrefGoogle Scholar
  • Mayew WJ (2008) Evidence of management discrimination among analysts during earnings conference calls. J. Accounting Res. 46(3):627–659.CrossrefGoogle Scholar
  • Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. Preprint, submitted September 7, https://arxiv.org/abs/1301.3781.Google Scholar
  • Mukherjee UK, Sinha KK (2018) Product recall decisions in medical device supply chains: A big data analytic approach to evaluating judgment bias. Production Oper. Management 27(10):1816–1833.CrossrefGoogle Scholar
  • Netessine S, Rudi N (2006) Supply chain choice on the Internet. Management Sci. 52(6):844–864.LinkGoogle Scholar
  • Noh J, Zhou D (2022) Executives’ blaming external factors and market reactions: Evidence from earnings conference calls. J. Banking Finance 134:106358.CrossrefGoogle Scholar
  • Ohlson JA (1980) Financial ratios and the probabilistic prediction of bankruptcy. J. Accounting Res. 18(1):109–131.CrossrefGoogle Scholar
  • Olivares M, Cachon GP (2009) Competing retailers and inventory: An empirical investigation of general motors’ dealerships in isolated us markets. Management Sci. 55(9):1586–1604.LinkGoogle Scholar
  • Osadchiy N, Schmidt W, Wu J (2021) The bullwhip effect in supply networks. Management Sci. 67(10):6153–6173.LinkGoogle Scholar
  • Palazzo B (2012) Cash holdings, risk, and expected returns. J. Financial Econom. 104(1):162–185.CrossrefGoogle Scholar
  • Pournader M, Kach A, Talluri S (2020) A review of the existing and emerging topics in the supply chain risk management literature. Decision Sci. 51(4):867–919.CrossrefGoogle Scholar
  • Shibuya Y, Babich V (2021) Multi-tier supply chain financing with blockchain. Preprint, submitted February 23, http://dx.doi.org/10.2139/ssrn.3787044.Google Scholar
  • Sodhi MS, Son B-G, Tang CS (2012) Researchers’ perspectives on supply chain risk management. Production Oper. Management 21(1):1–13.CrossrefGoogle Scholar
  • Song J, Zipkin PH (1996) Inventory control with information about supply conditions. Management Sci. 42(10):1409–1419.LinkGoogle Scholar
  • Stocken PC (2000) Credibility of voluntary disclosure. RAND J. Econom. 31(2):359–374.CrossrefGoogle Scholar
  • Tang CS (2006) Perspectives in supply chain risk management. Internat. J. Production Econom. 103(2):451–488.CrossrefGoogle Scholar
  • Tang CS, Zimmerman JD, Nelson JI (2009) Managing new product development and supply chain risks: The Boeing 787 case. Supply Chain Forum 10:74–86.CrossrefGoogle Scholar
  • Tang SY, Kouvelis P (2011) Supplier diversification strategies in the presence of yield uncertainty and buyer competition. Manufacturing Service Oper. Management 13(4):439–451.LinkGoogle Scholar
  • Theile K, Hoberg K, Singhal VR (2022) Are disclosures of pandemics as a source of risk informative? Evidence from changes in equity risk before and after the COVID-19 pandemic. Preprint, submitted July 20, https://ssrn.com/abstract=4147366.Google Scholar
  • Throckmorton CS, Mayew WJ, Venkatachalam M, Collins LM (2015) Financial fraud detection using vocal, linguistic and financial cues. Decision Support Systems 74:78–87.CrossrefGoogle Scholar
  • Tirole J (2010) The Theory of Corporate Finance (Princeton University Press, Princeton, NJ).Google Scholar
  • Tomlin B (2006) On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Sci. 52(5):639–657.LinkGoogle Scholar
  • Wang Y, Li J, Di Wu RA (2021) When ignorance is not bliss: An empirical analysis of subtier supply network structure on firm risk. Management Sci. 67(4):2029–2048.LinkGoogle Scholar
  • Wu J, Birge JR (2014) Supply chain network structure and firm returns. Preprint, submitted January 27, http://dx.doi.org/10.2139/ssrn.2385217.Google Scholar
  • Yang SA, Birge JR, Parker RP (2015) The supply chain effects of bankruptcy. Management Sci. 61(10):2320–2338.LinkGoogle Scholar
  • Yang Z, Aydın G, Babich V, Beil DR (2009) Supply disruptions, asymmetric information, and a backup production option. Management Sci. 55(2):192–209.LinkGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.