The Impact of Supply Chains on Firm-Level Productivity

Published Online:https://doi.org/10.1287/mnsc.2016.2632

References

  • Anjoran R (2014) How Adidas Footwear helped suppliers increase labor productivity. Quality Inspection (December 9), https://qualityinspection.org/adidas-labor-productivity-china/.Google Scholar
  • Blume LE, Brock WA, Durlauf SN, Ioannides YM (2010) Identification of social interactions. Benhabib J, Bisin A, Jackson MO, eds. Handbook of Social Economics (Elsevier B.V., Amsterdam),853–964.CrossrefGoogle Scholar
  • Bramoullé Y, Djebbari H, Fortin B (2009) Identification of peer effects through social networks. J. Econometrics 150(1):41–55.CrossrefGoogle Scholar
  • Brynjolfsson E, Hitt LM (2003) Computing productivity: Firm-level evidence. Rev. Econom. Statist. 85(4):793–808.CrossrefGoogle Scholar
  • Cachon GP, Gallino S, Olivares M (2013) Severe weather and automobile assembly productivity. Working paper, University of Pennsylvania, Philadelphia.Google Scholar
  • Carvalho VM, Nirei M, Saito Y, Tahbaz-Salehi A (2014) Supply chain disruptions: Evidence from the great east Japan earthquake. Working paper, University of Cambridge, Cambridge, UK.Google Scholar
  • Chandra A, Finkelstein A, Adam S, Syverson C (2016) Healthcare exceptionalism? Performance and allocation in the U.S. healthcare sector. Amer. Econom. Rev. 106(8):2110–2144.CrossrefGoogle Scholar
  • Cooper Industries (2015) Preferred supplier criteria. Accessed December 30, 2015, http://www.cooperindustries/content/public/en/company/strategic_sourcing/preferred_suppliercritieria.html.Google Scholar
  • Dieye R, Fortin B (2014) Peer effects heterogeneity: Theory and application. Working paper, Université Laval, Quebec.Google Scholar
  • Dyer JH (2000) Collaborative Advantage: Winning Through Extended Enterprise Supplier Networks (Oxford University Press, Oxford, UK).Google Scholar
  • Dyer JH, Hatch N (2006) Using supplier networks to learn faster. Sloan Management Rev. (April 15), http://sloanreview.mit.edu/article/using-supplier-networks-to-learn-faster/.Google Scholar
  • Gaur V, Fisher ML, Raman A (2005) An econometric analysis of inventory turnover performance in retail services. Management Sci. 51(2):181–194.LinkGoogle Scholar
  • Giroud X (2013) Proximity and investment: Evidence from plant-level data. Quart. J. Econometrics 128(2):861–915.Google Scholar
  • Goldsmith-Pinkham P, Imbens GW (2013) Social networks and the identification of peer effects. J. Bus. Econom. Statist. 31(3):253–264.CrossrefGoogle Scholar
  • Griliches Z, Mairesse J (1995) Production functions: The search for identification. NBER Working Paper 5067, National Bureau of Economic Research, Cambridge, MA.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
  • Hsieh CS, Lee LF (2016) A social interactions model with endogenous friendship formation and selectivity. J. Appl. Econometrics 31(2):301–319.CrossrefGoogle Scholar
  • Imrohoroglu A, Tuzel S (2014) Firm level productivity, risk, and return. Management Sci. 60(8):2073–2090.LinkGoogle Scholar
  • Jain N, Girotra K, Netessine S (2014) Managing global sourcing: Inventory performance. Management Sci. 60(5):1202–1222.LinkGoogle Scholar
  • Kalwani MU, Narayandas N (1995) Long-term manufacturer-supplier relationships: Do they pay off for supplier firms? J. Marketing 59(1):1–16.CrossrefGoogle Scholar
  • Keller W, Yeaple SR (2009) Multinational enterprises, international trade, and productivity growth: Firm-level evidence from the United States. Rev. Econom. Statist. 91(4):821–831.CrossrefGoogle Scholar
  • Kellogg R (2011) Learning by drilling: Inter-firm learning and relationship persistence in the Texas oilpatch. Quart. J. Econom. 126(4):1961–2004.CrossrefGoogle Scholar
  • Lee L (2003) Best spatial two-stage least squares estimators for a spatial autoregressive model with autoregressive disturbances. Econometric Rev. 22(4):307–335.CrossrefGoogle Scholar
  • Levinsohn J, Petrin A (2003) Estimating production functions using inputs to control for unobservables. Rev. Econom. Stud. 70(2):317–341.CrossrefGoogle Scholar
  • Lieberman MB, Demeester L (1999) Inventory reduction and productivity growth: Linkages in the Japanese automotive industry. Management Sci. 45(4):466–485.LinkGoogle Scholar
  • Maksimovic V, Phillips G (2002) Do conglomerate firms allocate resources inefficiently across industries? Theory and evidence. J. Finance 57(2):721–767.Google Scholar
  • Manski CF (1993) Identification of endogenous social effects: The reflection problem. Rev. Econom. Stud. 60(3):531–542.CrossrefGoogle Scholar
  • Olley GS, Pakes A (1996) The dynamics of productivity in the telecommunications equipment industry. Econometrica 64(6):1263–1297.CrossrefGoogle Scholar
  • Osadchiy N, Gaur V, Seshadri S (2015) Systematic risk in supply chain networks. Management Sci. 62(6):1755–1777.LinkGoogle Scholar
  • Patatoukas PN (2011) Customer-base concentration: Implications for firm performance and capital markets. Accounting Rev. 87(2):363–392.CrossrefGoogle Scholar
  • Sacerdote B (2001) Peer effects with random assignment: Results for Dartmouth roommates. Quart. J. Econom. 116(2):681–704.CrossrefGoogle Scholar
  • Syverson C (2004) Product substitutability and productivity dispersion. Rev. Econom. Statist. 86(2):534–550.CrossrefGoogle Scholar
  • Syverson C (2011) What determines productivity? J. Econom. Literature 49(2):326–365.CrossrefGoogle Scholar
  • Wang Y, Li J, Anupindi R (2016) Risky suppliers or risky supply chains? An empirical analysis of sub-tier supply network structure on firm performance in the high-tech sector. Working paper, University of Michigan, Ann Arbor.Google Scholar
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