Measuring Information Technology Spillovers

References

• Acharya R, Basu S (2010) ICT and total factor productivity growth: Intangible capital or productive externalities? Working paper, Industry Canada.Google Scholar
• Aral S, Weill P (2007) IT assets, organizational capabilities, and firm performance: How resource allocations and organizational differences explain performance variation. Organ. Sci. 18:(5): 763–780.Link, Google Scholar
• Aral S, Brynjolfsson E, Wu DJ (2006) Which came first, IT or productivity? A virtuous cycle of investment and use in enterprise systems. Working paper, MIT Sloan School of Management.Crossref, Google Scholar
• Barker G, Fuss M, Waverman L (2008) The contribution of ICT to productivity in Australia. ANU Centre for Law and Economics 3. Working paper 3-2008, Center for Law and Economics Australian National University.Google Scholar
• Barua A, Lee B (1997) The information technology productivity paradox revisited: A theoretical and empirical investigation in the manufacturing sector. Internat. J. Flexible Manufacturing Systems 9:145–166.Crossref, Google Scholar
• Barua A, Kriebel C, Mukhopadhyay T (1995) Information technologies and business value: An analytic and empirical investigation. Inform. Systems Res. 6(1):3–23.Link, Google Scholar
• Becchetti L, Adriani F (2005) Does the digital divide matter? The role of information and communication technology in cross-country level and growth estimates. Econom. Innovation New Tech. 14(6):435–453.Crossref, Google Scholar
• Berndt E, Griliches Z (1990) Price indexes for microcomputers: An exploratory study. NBER Working Paper 3378, National Bureau of Economic Research, Cambridge, MA.Crossref, Google Scholar
• Bharadwaj A (2000) A resource based perspective on information technology capability and firm performance: An empirical investigation. MIS Quart. 24(1):169–196.Crossref, Google Scholar
• Bloom N, Schankermann M, Van Reenen J (2012) Identifying technological spillovers and product market rivalry. Working paper, Centre for Economic Performance, London School of Economics and Political Science.Google Scholar
• Breschi S, Lissoni F (2001) Knowledge spillovers and local innovation systems: A critical survey. Indust. Corporate Change 10(4):975–1005.Crossref, Google Scholar
• Brynjolfsson E (1993) The productivity paradox of information technology. Comm. ACM 36(12):67–77.Crossref, Google Scholar
• Brynjolfsson E, Hitt L (1996) Paradox lost? Firm-level evidence on returns to information systems spending. Management Sci. 42(4):541–558.Link, Google Scholar
• Brynjolfsson E, Hitt L (2000) Beyond computation: Information technology, organizational transformation, and business performance. J. Econom. Perspect. 14(4):23–48.Crossref, Google Scholar
• Brynjolfsson E, Hitt L (2003) Computing productivity: Firm-level evidence. Rev. Econom. Statist. 85(4):793–808.Crossref, Google Scholar
• Burton-Jones A, Straub D (2006) Reconceptualizing system usage: An approach and empirical test. Inform. Systems Res. 17(3): 228–246.Link, Google Scholar
• Chan Y (2000) IT value: The great divide between qualitative and quantitative and individual and organizational measures. J. Management Inform. Systems 16(4):225–261.Crossref, Google Scholar
• Chang Y, Gurbaxani V (2010) The impact of IT-related spillovers on long-run productivity: An empirical analysis. Inform. Systems Res. 23(3, Part 2):868–886.Google Scholar
• Chen X, Hong H, Nekipelov D (2013) Measurement error models. J. Econom. Literature. Forthcoming.Google Scholar
• Chen J, Nault B (2007) Industry level supplier-driven IT spillovers. Management Sci. 53(8):1199–1216.Link, Google Scholar
• Chen Z, Nault B (2011) Relative industry concentration and customer-driven IT spillovers. Inform. Systems Res. 23(2):340–355.Link, Google Scholar
• Chou Y, Kauffman R, Shao B (2009) Small is beautiful: An empirical study of complementarities, substitution and spillovers in the IT industry of the OECD countries. Working paper, W.P. Carey School of Business, Arizona State University.Google Scholar
• Daveri F, Silva O (2004) Not only Nokia: What Finland tells us about new economy growth. Econom. Policy 19(38):117–163.Crossref, Google Scholar
• Dedrick J, Gurbaxani V, Kraemer K (2003) Information technology and economic performance: A critical review of the empirical evidence. ACM Comput. Surveys 35(1):1–28.Crossref, Google Scholar
• Devaraj S, Kohli R (2003) Performance impacts of information technology: Is actual usage the missing link? Management Sci. 49(3):273–289.Link, Google Scholar
• Dewan S, Min C (1997) The substitution of information technology for other factors of production: A firm-level analysis. Management Sci. 43(12):1660–1675.Link, Google Scholar
• Dutta D, Otsuka K (2006) An analysis of knowledge spillover from information and communication technology in Australia, Japan, South Korea, and Taiwan. Working paper, University of Sydney.Google Scholar
• Forman C, Goldfarb A, Greenstein S (2005) How did location affect adoption of the commercial Internet? Global village, urban density, and industry composition. J. Urban Econom. 58(3): 389–420.Crossref, Google Scholar
• Ganley D, Kraemer K, Wong P (2003) Spillover effects of production of IT on use of IT. Electronic Markets 13(3):271–281.Crossref, Google Scholar
• Gelb E, Getz D, Oberman G (2003) ICT spillovers in rural areas. Working paper, EFITA Conf. 2003, Debrecen, Hungary.Google Scholar
• Gholami R, Guo X, Higon M, Lee S (2009) Information and communications technology (ICT) international spillovers. IEEE Trans. Engrg. Management. 56(2):329–340.Crossref, Google Scholar
• Greenan N, Mairesse J (1996) Computing and productivity in France: Some evidence. NBER Working Paper 5836, NBER, Cambridge, MA.Crossref, Google Scholar
• Griliches Z (1979) Issues in assessing the contribution of research and development to productivity growth. Bell J. Econom. 10(1):92–116.Crossref, Google Scholar
• Griliches Z (1992) The search for R&D spillovers. Scandanavian J. Econom. 94(Supplement):29–47.Crossref, Google Scholar
• Griliches Z, Hausman J (1986) Errors in variables in panel data. J. Econometrics 31(1):93–188.Crossref, Google Scholar
• Han K, Chang Y, Hahn J (2011) Information technology spillover and productivity: The role of information technology intensity and competition, J. Management Inform. Systems. 28(1):115–146.Crossref, Google Scholar
• Hausman J (2001) Mismeasured variables in econometric analysis: Problems from the right and problems from the left. J. Econom. Perspect. 15(4):57–67.Crossref, Google Scholar
• Hitt L, Brynjolfsson E (1996) Productivity, business profitability, and consumer surplus: Three different measures of information technology value. MIS Quart. 20(2):121–142.Crossref, Google Scholar
• Huang P, Ceccagnoli M, Forman C, Wu DJ (2012) Network of practice, IT knowledge spillovers, and productivity: Evidence from enterprise software. Working paper, University of Maryland.Google Scholar
• Johnston J, Dinardo J (1997) Econometric Methods, 4th ed. (McGraw-Hill Companies, Singapore).Google Scholar
• Knott A (2008) R&D returns causality: Absorptive capacity or organizational IQ. Management Sci. 54(12):2054–2067.Link, Google Scholar
• Knott A, Posen H, Wu B (2009) Spillover asymmetry and why it matters. Management Sci. 55(3):373–388.Link, Google Scholar
• Kooshki M, Ismail R (2011) The impact of information and communication technology investment externalities on economic growth in newly industrialized countries. Proc. 2nd Internat. Conf. Bus. Econom. Res., Langkawi, Malaysia, 1282–1292.Google Scholar
• Lee S, Guo XJ (2004) Information and communication technology (ICT) and spillover: A panel analysis. Working paper, Econmetric Society 2004 Far Eastern Meetings, Seoul, Korea.Google Scholar
• Levi M (1973) Errors in the variables bias in the presence of correctly measured variables. Econometrica 41(5):985–986.Crossref, Google Scholar
• Lichtenberg F (1995) The output contributions of computer equipment and personnel: A firm-level analysis. Econom. Innovation New Tech. 3(3–4):201–218.Crossref, Google Scholar
• Lopez-Pueyo C, Sanau J, Barcenilla S (2009) International technological spillovers from ICT-producing manufacturing industries: A panel data analysis. Internat. Rev. Appl. Econom. 23(2): 215–231.Crossref, Google Scholar
• Mairesse J (1992) Time-series and cross-sectional estimates on panel data: Why are they different and why should they be equal? Hartog J, Ridder G, Theeuwes J, eds. Panel Data and Labor Market Studies (North-Holland, Amsterdam), 81–95.Google Scholar
• Manski CF (1933) Identification of endogenous social effects: The reflection problem. Review Econom. Studies 60(3): 531–542.Crossref, Google Scholar
• Mithas S, Tafti A, Bardhan I, Goh J (2012) Information technology and firm profitability: Mechanisms and empirical evidence. MIS Quart. 36(1):205–224.Crossref, Google Scholar
• Mahoney M, Vecchi M (2005) Quantifying the impact of ICT on output growth: A heterogenous dynamic panel approach. Economica 72(288):615–633.Crossref, Google Scholar
• Mooney J, Gurbaxani V, Kraemer K (1996) A process oriented framework for assessing the business value of information technology. ACM SIGMIS Database 27(2):68–81.Crossref, Google Scholar
• Mun S, Nadiri I (2002) Information technology externalities: Empirical evidence from 42 U.S. industries. NBER Working Paper 9272, NBER, Cambridge, MA.Crossref, Google Scholar
• Nadiri MI (1993) Innovations and technological spillovers. NBER Working Paper 4423, NBER, Cambridge, MA.Crossref, Google Scholar
• Nguyen S, Atrostic BK (2006) How Businesses Use Information Technology: Insights for Measuring Technology and Productivity. Working Paper 06-15, Center for Economic Studies, U.S. Census Bureau.Google Scholar
• Park J, Shin JS, Sanders G (2007a) Impact of international information technology transfer on national productivity. Inform. Systems Res. 18(1):86–102.Link, Google Scholar
• Park J, Shin JS, Shin H (2007b) The intensity and externality effects of information technology investments on national productivity growth. IEEE Trans. Engrg. Management 54(4):716–728.Crossref, Google Scholar
• Parsons N, Phillips M (2007) An evaluation of the federal tax credit for scientific research and experimental development. Working paper, Department of Finance Canada.Google Scholar
• Quah D (2001) ICT clusters in development: Theory and evidence. Working paper, London School of Economics and Political Science.Google Scholar
• Rincon-Aznar A, Vecchi M (2004) The dynamic impact of ICT spillovers on companies' productivity performance. NIESR Working Paper, National Institute of Economics and Social Research, London, UK.Google Scholar
• Santhanam R, Hartono E (2003) Issues in linking information technology capability to firm performance. MIS Quart. 27(1):125–153.Crossref, Google Scholar
• Saunders A (2010) Valuing IT-related intangible capital. ICIS 2010 Proc., Paper 243.Google Scholar
• Severgnini B (2010) Is ICT a jack-in-the-box? A counterfactual approach for identifying productivity spillovers. Working paper, Copenhagen Business School, Denmark.Google Scholar
• Solon G (1985) Benefits and limitations of panel data: Comment. Econometric Rev. 4(1):183–186.Crossref, Google Scholar
• Tambe P, Hitt L (2012) The productivity of information technology investments: New evidence from IT labor data. Inform. Systems Res. 23(3-Part-1):599–617.Link, Google Scholar
• Tambe P, Hitt L (2014) Job hopping, information technology spillovers, and productivity growth. Management Sci. 60(2): 338–355.Link, Google Scholar
• Tanuwidjaja E (2006) Technology diffusion: The case of information and communication technologies. Working paper, National University of Singapore.Google Scholar
• Van der Wiel G, Van Leeuwen H (2003) Do ICT spillovers matter? Evidence from Dutch firm-level data. CPB Discussion Paper. CPB Netherlands Bureau for Economic Policy Analysis.Google Scholar
• Van Reenen J, Bloom N, Draca M, Kretschmer T, Sadun R (2010) The economic impact of ICT. Center for Economic Performance.Google Scholar
• Venturini F (2009) The modern drivers of productivity. Working paper, Univeristy of Perugia.Google Scholar
• Wooldridge JM (2001) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
• Zhang JJ, Lee ST (2009) A time series analysis of international ICT spillover. Hunter MG, Tan FB, eds. Handbook of Research on Information Management and the Global Landscape, 132–145.Crossref, Google Scholar
• Zhu K, Kraemer K (2003) E-commerce metrics for net-enhanced organizations: Assessing the value of e-commerce to firm performance in the manufacturing sector. Inform. Systems Res. 13(3):275–295.Link, Google Scholar