Are New IT-Enabled Investment Opportunities Diminishing for Firms?

Published Online:https://doi.org/10.1287/isre.1110.0370

References

  • Ågerfalk P. J., Fitzgerald B., Slaughter S. A. Flexible and distributed information systems development: State of the art and research challenges. Inform. Systems Res. (2009) 20(3):317–328LinkGoogle Scholar
  • Agrawal M., Kishore R., Rao H. R. Market reactions to e-business outsourcing announcements: An event study. Inform. Management (2006) 43(7):861–873CrossrefGoogle Scholar
  • Anderson M. C., Banker R. D., Ravindran S. Value implications of investments in information technology. Management Sci. (2006) 52(9):1359–1376LinkGoogle Scholar
  • Aydemir A. C., Gallmeyer M., Hollifield B. Financial leverage and the leverage effect—A market and a firm analysis. (2007) . Working paper, Tepper School of Business, Carnegie Mellon University, PittsburghGoogle Scholar
  • Banker R. D., Kauffman R. J., Morey R. C. Measuring gains in operational efficiency from information technology: A study of the Positran deployment at Hardee's Inc.. J. Management Inform. Systems (1990) 7(2):29–54CrossrefGoogle Scholar
  • Benner M. J., Tushman M. L. Exploitation, exploration, and process management: The productivity dilemma revisited. Acad. Management Rev. (2003) 28(2):238–256CrossrefGoogle Scholar
  • Bharadwaj A. S., Bharadwaj S. G., Konsynski B. R. Information technology effects on firm performance as measured by Tobin's q. Management Sci. (1999) 45(7):1008–1024LinkGoogle Scholar
  • Bhatt G. D., Grover V. Types of information technology capabilities and their role in competitive advantage: An empirical study. J. Management Inform. Systems (2005) 22(2):253–277CrossrefGoogle Scholar
  • Brancheau J. C., Wetherbe J. C. The adoption of spreadsheet software: Testing innovation diffusion theory in the context of end-user computing. Inform. Systems Res. (1990) 1(2):115–143LinkGoogle Scholar
  • Brynjolfsson E. The productivity paradox of information technology: Review and assessment. Comm. ACM (1993) 36(12):67–77CrossrefGoogle Scholar
  • Brynjolfsson E., Saunders A.Wired for Innovation: How Information Technology Is Reshaping the Economy (2010) (The MIT Press, Cambridge, MA) Google Scholar
  • Chatrath A., Christie-David R., Moore W. T. The macroeconomic news cycle and uncertainty resolution. J. Bus. (2006) 79(5):2633–2657CrossrefGoogle Scholar
  • Chatterjee D., Pacini C., Sambamurthy V. The shareholder-wealth and trading-volume effects of information-technology infrastructure investments. J. Management Inform. Systems (2002) 19(2):7–42CrossrefGoogle Scholar
  • Christensen C. The opportunity and threat of disruptive technologies. (2000) . Luncheon Series Lecture, Stanford Executive Briefings, Stanford University, CAGoogle Scholar
  • Christie A. A. The stochastic behavior of common stock variances: Value, leverage and interest rate effects. J. Financial Econom. (1982) 10(4):407–432CrossrefGoogle Scholar
  • Clemons E. K., Row M. C. Sustaining IT advantage: The role of structural differences. MIS Quart. (1991) 15(3):275–292CrossrefGoogle Scholar
  • Copeland M. V., Weintraub S. Google: The search party is over. Fortune (2010) 16(August 16):58–67Google Scholar
  • Dehning B., Richardson V. J., Zmud R. W. The financial performance effects of IT-based supply chain management systems in manufacturing firms. J. Oper. Management (2007) 25(4):806–824CrossrefGoogle Scholar
  • Delone W. H., McLean E. R. The DeLone and McLean model of information systems success: A ten-year update. J. Management Inform. Systems (2003) 19(4):9–30CrossrefGoogle Scholar
  • Dewan S., Ren F. Risk and return of information technology initiatives: Evidence from electronic commerce announcements. Inform. Systems Res. (2007) 18(4):370–394LinkGoogle Scholar
  • Dewan S., Ganley D., Kraemer K. L. Complementarities in diffusion of personal computers and the Internet: Implications for the global digital divide. Inform. Systems Res. (2010) 21(4):925–940LinkGoogle Scholar
  • Dickson G. W., Senn J. A., Chervany N. L. Research in management information systems: The Minnesota experiments. Management Sci. (1977) 23(9):913–923LinkGoogle Scholar
  • Dos Santos B. L., Peffers K. Rewards to investors in innovative information technology applications: First movers and early followers in ATMs. Organ. Sci. (1995) 6(3):241–259LinkGoogle Scholar
  • Dos Santos B. L., Peffers K. Competitor and vendor influence on the adoption of innovative applications in electronic commerce. Inform. Management (1998) 34(3):175–184CrossrefGoogle Scholar
  • Dos Santos B. L., Peffers K., Mauer D. C. The impact of information technology investment announcements on the market value of the firm. Inform. Systems Res. (1993) 4(1):1–23LinkGoogle Scholar
  • Dos Santos B. L., Zheng Z., Mookerjee V. S., Chen H. Is IT really becoming a commodity? Proc. Internat. Conf. Inform. Systems (2008) Paris:1–16Paper 73Google Scholar
  • Du Boff R. B.Electric Power in American Manufacturing, 1889–1958 (1979) (Arno Press, New York) Google Scholar
  • Ederington L. H., Lee J. H. How markets process information: New releases and volatility. J. Finance (1993) 48(4):1161–1191CrossrefGoogle Scholar
  • Ewers J., Vessey I. The systems development dilemma—A programming perspective. MIS Quart. (1981) 5(2):33–45CrossrefGoogle Scholar
  • Fama E. F. Efficient capital markets: II. J. Finance (1991) 46(5):1575–1617CrossrefGoogle Scholar
  • Fama E. F., French K. R. The cross-section of expected stock returns. J. Finance (1992) 47(2):427–465CrossrefGoogle Scholar
  • Fichman R. G., Kemerer C. F. The illusory diffusion of innovation: An examination of assimilation gaps. Inform. Systems Res. (1999) 10(3):255–275LinkGoogle Scholar
  • Gerlach J. R. Macroeconomic news and the stock market calendar and weather anomalies. J. Financial Res. (2007) 30(2):283–300CrossrefGoogle Scholar
  • Goldman D. Tech jobs getting zapped. (2009) April 8). http://money.cnn.com/2009/04/08/technology/tech_jobs/index.htm?postversion=2009041010Google Scholar
  • Gurbaxani V. Diffusion in computing networks: The case of BITNET. Comm. ACM (1990) 33(12):65–75CrossrefGoogle Scholar
  • Hardouvelis G. A. Macroeconomic information and stock prices. J. Econom. Bus. (1987) 39(2):131–140CrossrefGoogle Scholar
  • Hendricks K., Singhal V., Stratman J. The impact of enterprise systems on corporate performance: A study of ERP, SCM, and CRM system implementations. J. Oper. Management (2007) 25(1):65–82CrossrefGoogle Scholar
  • Hitt L. M., Brynjolfsson E. Productivity, business profitability, and consumer surplus: Three different measures of information technology value. MIS Quart. (1996) 20(2):121–142CrossrefGoogle Scholar
  • Hobsbawm E. J.The Age of Capital: Europe 1848–1875 (1975) (Weidenfeld and Nicolson, London) Google Scholar
  • Hotchkiss E. S., Strickland D. Does shareholder composition matter? Evidence from the market reaction to corporate earnings announcements. J. Finance (2003) 58(4):1469–1498CrossrefGoogle Scholar
  • Iacovou C., Benbasat I., Dexter A. Electronic data interchange and small organizations: Adoption and impact of technology. MIS Quart. (1995) 19(4):465–485CrossrefGoogle Scholar
  • Im K. S., Dow K. E., Grover V. Research report: A reexamination of IT investment and the market value of the firm—An event study methodology. Inform. Systems Res. (2001) 12(1):103–117LinkGoogle Scholar
  • Jones C. M., Lamont O., Lumsdaine R. L. Macroeconomic news and bond market volatility. J. Financial Econom. (1998) 47(3):316–337CrossrefGoogle Scholar
  • Kaplan P. D., Peterson J. D. Full-information industry betas. Financial Management (1998) 27(2):85–93CrossrefGoogle Scholar
  • Kobelsky K. W., Richardson V. J., Smith R. E., Zmud R. W. Determinants and consequences of firm information technology budgets. Accounting Rev. (2008) 83(4):957–995CrossrefGoogle Scholar
  • Lee H., Ozalp O. Unlocking the value of RFID. Production Oper. Management (2007) 16(1):40–64CrossrefGoogle Scholar
  • Linden A., Fenn J. Understanding Gartner's hype cycles. (2003) . Strategic analysis report, Gartner, Inc., May 30Google Scholar
  • Loh L., Venkatraman N. Diffusion of information technology outsourcing: Influence sources and the Kodak effect. Inform. Systems Res. (1992) 3(4):334–358LinkGoogle Scholar
  • March J. G. Exploration and exploitation in organizational learning. Organ. Sci. (1991) 2(1):71–87LinkGoogle Scholar
  • Martin K. J., McConnell J. J. Corporate performance, corporate takeovers, and management turnover. J. Finance (1991) 46(2):671–688CrossrefGoogle Scholar
  • Mata F. J., Fuerst W. L., Barney J. B. Information technology and sustained competitive advantage: A resource-based analysis. MIS Quart. (1995) 19(4):487–505CrossrefGoogle Scholar
  • Melville N., Kraemer K., Gurbaxani V. Information technology and organizational performance: An integrative model of IT business value. MIS Quart. (2004) 28(2):283–322CrossrefGoogle Scholar
  • Mukhopadhyay T., Kekre S., Kalathur S. Business value of information technology: A study of electronic data interchange. MIS Quart. (1995) 19(2):137–156CrossrefGoogle Scholar
  • Nofsinger J. R., Prucyk B. Option volume and volatility response to scheduled economic news releases. J. Futures Markets (2003) 23(4):315–345CrossrefGoogle Scholar
  • Porter M. E., Millar V. E. How information gives you competitive advantage. Harvard Bus. Rev. (1985) 63(4):149–160Google Scholar
  • Prasad B., Harker P. T. Examining the contribution of information technology towards productivity and profitability in U.S. retail banking. (1997) . Wharton Financial Institutions Center Working Paper 97-09, University of Pennsylvania, PhiladelphiaGoogle Scholar
  • Radhakrishnan A., Zu X., Grover V. A process-oriented perspective on differential business value creation by information technology: An empirical investigation. Omega (2008) 36(6):1105–1125CrossrefGoogle Scholar
  • Raghu T. S., Wonseok W., Mohan S. B., Rao H. R. Market reaction to patent infringement litigations in the information technology industry. Inform. Systems Frontiers (2008) 10(1):61–75CrossrefGoogle Scholar
  • Ramnath S., Rock S., Shane P. The financial analyst forecasting literature: A taxonomy with suggestions for further research. Internat. J. Forecasting (2008) 24(1):34–75CrossrefGoogle Scholar
  • Ranganathan C., Brown C. V. ERP investments and the market value of firms: Toward an understanding of influential ERP project variables. Inform. Systems Res. (2006) 17(2):145–161LinkGoogle Scholar
  • Schwert G. W. Why does stock market volatility change over time? J. Finance (1989) 44(5):1115–1153CrossrefGoogle Scholar
  • Songini M. L. Wal-Mart details its RFID journey: It's devising new uses for the supply chain technology and adding partners. Computerworld (2006) . http://www.computerworld.com/s/article/109132/Wal_Mart_details_its_RFID_journeyGoogle Scholar
  • Subramani M., Walden E. The impact of e-commerce announcements on the market value of firms. Inform. Systems Res. (2001) 12(2):135–154LinkGoogle Scholar
  • Tushman M. L., O'Reilly C. A. Ambidextrous organizations: managing evolutionary and revolutionary change. California Management Rev. (1996) 38(4):8–30CrossrefGoogle Scholar
  • Venkatesh V., Morris M. G., Davis G. B., Davis F. D. User acceptance of information technology: Toward a unified view. MIS Quart. (2003) 27(3):425–478CrossrefGoogle Scholar
  • Wade M., Hulland J. The resource-based view of IS research: Review, extension, and suggestions for future research. MIS Quart. (2004) 28(1):107–142CrossrefGoogle Scholar
  • Wolverton J. Wal-Mart to embed RFID tags in clothing beginning August 1. New American (2010) . http://www.thenewamerican.com/index.php/tech-mainmenu-30/computers/4157-wal-mart-to-embed-rfid-tags-in-clothing-beginning-august-1Google Scholar
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