Are All Spillovers Created Equal? A Network Perspective on Information Technology Labor Movements

Published Online:https://doi.org/10.1287/mnsc.2017.2778

References

  • Almeida P, Kogut B (1999) Localization of knowledge and the mobility of engineers in regional networks. Management Sci. 45(7):905–917.LinkGoogle Scholar
  • Aral S, Van Alstyne M (2011) The diversity-bandwidth trade-off1. Amer. J. Sociol. 117(1):90–171.CrossrefGoogle Scholar
  • Aral S, Brynjolfsson E, Van Alstyne M (2012a) Information, technology, and information worker productivity. Inform. Systems Res. 23(3, part 2):849–867.LinkGoogle Scholar
  • Aral S, Brynjolfsson E, Wu L (2012b) Three-way complementarities: Performance pay, human resource analytics, and information technology. Management Sci. 58(5):913–931.LinkGoogle Scholar
  • Arellano M, Bover O (1995) Another look at the instrumental variable estimation of error-components models. J. Econometrics 68(1):29–51.CrossrefGoogle Scholar
  • Attewell P (1992) Technology diffusion and organizational learning: The case of business computing. Organ. Sci. 3(1):1–19.LinkGoogle Scholar
  • Audretsch DB, Feldman MP (1996) R&D spillovers and the geography of innovation and production. Amer. Econom. Rev. 86(3):630–640.Google Scholar
  • Bapna R, Langer N, Mehra A, Gopal R, Gupta A (2013) Human capital investments and employee performance: An analysis of it services industry. Management Sci. 59(3):641–658.LinkGoogle Scholar
  • Bartelsman EJ, Caballero RJ, Lyons RK (1994) Customer- and supplier-driven externalities. Amer. Econom. Rev. 84(4):1075–1084.Google Scholar
  • Blundell R, Bond S (1998) Initial conditions and moment restrictions in dynamic panel data models. J. Econometrics 87(1):115–143.CrossrefGoogle Scholar
  • Bresnahan TF, Brynjolfsson E, Hitt LM (2002) Information technology, workplace organization, and the demand for skilled labor: Firm-level evidence. Quart. J. Econom. 117(1):339–376.CrossrefGoogle Scholar
  • Brynjolfsson E, Hitt L (1996) Paradox lost? Firm-level evidence on the returns to information systems spending. Management Sci. 42(4):541–558.LinkGoogle Scholar
  • Brynjolfsson E, Hitt LM (2000) Beyond computation: Information technology, organizational transformation and business performance. J. Econom. Perspect. 14(4):23–48.CrossrefGoogle Scholar
  • Brynjolfsson E, Hitt LM (2003) Computing productivity: Firm-level evidence. Rev. Econom. Statist. 85(4):793–808.CrossrefGoogle Scholar
  • Brynjolfsson E, Hitt LM, Yang S (2002) Intangible assets: Computers and organizational capital. Brookings Papers Econom. Activity 2002(1):137–198.CrossrefGoogle Scholar
  • Brynjolfsson E, McAfee A, Sorell M, Zhu F (2008) Scale without mass: Business process replication and industry dynamics. HBS Working Paper 07-016, Harvard Business School, Boston.Google Scholar
  • Burt RS (1992) Structural Holes: The Social Structure of Competition (Harvard University Press, Cambridge, MA).CrossrefGoogle Scholar
  • Burt RS (2004) Structural holes and good ideas. Amer. J. Sociol. 110(2):349–399.CrossrefGoogle Scholar
  • Burt RS (2008) Structural holes versus network closure as social capital. Nan L, Karen SC, eds. Social Capital: Theory and Research (Aldine Transaction, New Brunswick, NJ), 31–56.Google Scholar
  • Centola D, Macy M (2007) Complex contagions and the weakness of long ties. Amer. J. Sociol. 113(3):702–734.CrossrefGoogle Scholar
  • Chandrasekhar A, Lewis R (2011) Econometrics of sampled networks. Unpublished manuscript, MIT.[422].Google Scholar
  • Cheng Z, Nault BR (2012) Relative industry concentration and customer-driven it spillovers. Inform. Systems Res. 23(2):340–355.LinkGoogle Scholar
  • Cohen WM, Levinthal DA (1990) Absorptive capacity: A new perspective on learning and innovation. Admin. Sci. Quart. 35(1, special issue):128–152.CrossrefGoogle Scholar
  • Cross R, Cummings JN (2004) Tie and network correlates of individual performance in knowledge-intensive work. Acad. Management J. 47(6):928–937.CrossrefGoogle Scholar
  • David PA (1990) The dynamo and the computer: An historical perspective on the modern productivity paradox. Amer. Econom. Rev. 80(2):355–361.Google Scholar
  • Dedrick J, Gurbaxani V, Kraemer KL (2003) Information technology and economic performance: A critical review of the empirical evidence. ACM Comput. Surveys 35(1):1–28.CrossrefGoogle Scholar
  • Draca M, Sadun R, Van Reenen J (2007) Productivity and ICTs: A review of the evidence. Mansell R, Avgerou C, Quah D, Silverstone R, eds. The Oxford Handbook of Information and Communication Technologies, Chap. 5, (Oxford University Press, New York), 100–147.Google Scholar
  • Hall BH (1990) The manufacturing sector master file: 1959–1987. NBER Working Paper 3366, National Bureau of Economic Research, Cambridge, MA.Google Scholar
  • Hitt LM, Brynjolfsson E (1996) Productivity, business profitability, and consumer surplus: Three different measures of information technology value. MIS Quart. 20(2):121–142.CrossrefGoogle Scholar
  • Hitt LM, Wu D, Zhou X (2002) Investment in enterprise resource planning: Business impact and productivity measures. J. Management Inform. Systems 19(1):71–98.CrossrefGoogle Scholar
  • Huang P, Ceccagnoli M, Forman C, Wu DJ (2013) IT knowledge spillovers and productivity: Evidence from enterprise software. Working paper, University of Maryland, College Park.Google Scholar
  • Jaffe AB, Trajtenberg M, Henderson R (1992) Geographic localization of knowledge spillovers as evidenced by patent citations. NBER Working Paper 3993, National Bureau of Economic Research, Cambridge, MA.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
  • Lin M, Lucas HC, Bailey J (2011) “Banking” on the Internet: Does Internet banking really improve bank performance? Working paper, University of Arizona, Tucson.Google Scholar
  • Mithas S, Krishnan MS (2008) Human capital and institutional effects in the compensation of information technology professionals in the United States. Management Sci. 54(3):415–428.LinkGoogle Scholar
  • Mithas S, Whitaker J (2007) Is the world flat or spiky? Information intensity, skills, and global service disaggregation. Inform. Systems Res. 18(3):237–259.LinkGoogle Scholar
  • Nagle F (2014) Crowdsourced digital goods and firm productivity. Working paper, University of Southern California, Los Angeles.Google Scholar
  • Oestreicher-Singer G, Sundararajan A (2012) The visible hand? Demand effects of recommendation networks in electronic markets. Management Sci. 58(11):1963–1981.LinkGoogle Scholar
  • Olley GS, Pakes A (1996) The dynamics of productivity in the telecommunications equipment industry. Econometrica 64(6):1263–1297.CrossrefGoogle Scholar
  • Powell WW, Koput KW, Smith-Doerr L, Owen-Smith J (1999) Network position and firm performance: Organizational returns to collaboration in the biotechnology industry. Res. Sociol. Organ. 16(1):129–159.Google Scholar
  • Reagans R, McEvily B (2003) Network structure and knowledge transfer: The effects of cohesion and range. Admin. Sci. Quart. 48(2):240–267.CrossrefGoogle Scholar
  • Reagans R, Zuckerman EW (2001) Networks, diversity, and productivity: The social capital of corporate R&D teams. Organ. Sci. 12(4):502–517.LinkGoogle Scholar
  • Roodman DM (2009) How to do xtabond2: An introduction to difference and system GMM in Stata. Stata J. 9(1):86–136.CrossrefGoogle Scholar
  • Rosenkopf L, Almeida P (2003) Overcoming local search through alliances and mobility. Management Sci. 49(6):751–766.LinkGoogle Scholar
  • Saunders A, Brynjolfsson E (2013) Valuing IT-related intangible assets. Working paper, University of British Columbia, Vancouver.CrossrefGoogle Scholar
  • Schilling MA, Phelps CC (2007) Interfirm collaboration networks: The impact of large-scale network structure on firm innovation. Management Sci. 53(7):1113–1126.LinkGoogle Scholar
  • Shipilov AV, Li SX (2008) Can you have your cake and eat it too? Structural holes’ influence on status accumulation and market performance in collaborative networks. Admin. Sci. Quart. 53(1):73–108.CrossrefGoogle Scholar
  • Singh J (2005) Collaborative networks as determinants of knowledge diffusion patterns. Management Sci. 51(5):756–770.LinkGoogle Scholar
  • Singh H, Kryscynski D, Li X, Gopal R (2015) Pipes, pools, and filters: How collaboration networks affect innovative performance. Strategic Management J. 37(8):1649–1666.CrossrefGoogle Scholar
  • Stock JH, Yogo M (2005) Testing for weak instruments in linear IV regression. Andrews DWK, Stock JH, eds. Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg. (Cambridge University Press, New York), 80–108.CrossrefGoogle Scholar
  • Tafti A, Mithas S, Krishnan MS (2013) The effect of information technology-enabled flexibility on formation and market value of alliances. Management Sci. 59(1):207–225.LinkGoogle Scholar
  • Tambe P, Hitt LM (2012) The productivity of information technology investments: New evidence from it labor data. Inform. Systems Res. 23(3, part 1):599–617.LinkGoogle Scholar
  • Tambe P, Hitt LM (2013a) Job hopping, information technology spillovers, and productivity growth. Management Sci. 60(2):338–355.LinkGoogle Scholar
  • Tambe P, Hitt LM (2013b) Measuring information technology spillovers. Inform. Systems Res. 25(1):53–71.LinkGoogle Scholar
  • Uzzi B, Gillespie JJ (2002) Knowledge spillover in corporate financing networks: Embeddedness and the firm’s debt performance. Strategic Management J. 23(7):595–618.CrossrefGoogle Scholar
  • Vasudeva G, Zaheer A, Hernandez E (2013) The embeddedness of networks: Institutions, structural holes, and innovativeness in the fuel cell industry. Organ. Sci. 24(3):645–663.LinkGoogle Scholar
  • Wu L (2013) Social Network effects on productivity and job security: Evidence from the adoption of a social networking tool. Inform. Systems Res. 24(1):30–51.LinkGoogle Scholar
  • Zaheer A, Bell GG (2005) Benefiting from network position: Firm capabilities, structural holes, and performance. Strategic Management J. 26(9):809–825.CrossrefGoogle Scholar
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