- 1 Alpar, P, and Kim, M. A comparison of approacl~es to the measurement of IT value. In Proceedings of the Twenty- Second Hawaiian International Conference On System Science (Honolufu. Hawaii 1990).Google Scholar
- 2 Baily, M, and Chakrabarti, A. Electronics and white-:ollar productivity. In ln novathm and the Productivity Crisis, Brookings, Washington, I988.Google Scholar
- 3 Baily, M.N. and Gordon, R.J. The productivity slowdown, measurement issues, and the explosion of computer power. In Brooking~ Papers on Economic A ctivi~,, W.C. Brainard, and G.I., Perry. The Brookings Institution, Washington, I),C,, 1988,Google Scholar
- 4 Barua, A., Kriebel, C. and Mukhopadhyay, T. Information technob og3' and business valtm: An analytic and empirical investigation. Working Paper, University of Texas, Austin, Tex. May 199 I.Google Scholar
- 5 Berndt, E.R. and Morrison, C.J. High-tech capital, economic and labour composition in U.S. manufacturing industries: An exploratory analysis. National Bureau of Economic Research Manuscript, Apr. 24, 1991.Google Scholar
- 6 Brooke, G, l:nlbrmation technology and productivity: An economic analysis of the effects of prcvduct differentiation. Ph.D. dissertation, University of Minnesota, 1991.Google Scholar
- 7 Brynj:()lfsson, E. and Hitt, I~. Is information systems spending productive? New evidence and new results, inte> nal.ionai Ca)~erence on Information Systems (Orlando, FL, 1993).Google Scholar
- 8 Brynjolfsson, E., Malone, T., Gurbaxani, V. and Kambil, A. Does infof mation technology lead to smaller firms? Manag. Sci. To be published, Google ScholarDigital Library
- 9 Clemons, E.K. Evaluation of strategic investments in information technology. Commun. ACM .34, 1 (1991), 22- 36. Google ScholarDigital Library
- 10 Cron, W.I. and Sobol, M.G. The relationship between computerization and performance: A strategy tbr maximizing the econo,nic benefits ol computerization. J. Inf. Manag. 6 (1983), 171-181.Google ScholarCross Ref
- 11 David, P.A. Computer and Dynamo. 1he Modern Productivity Paradox in a Not- Too-Distant Mirror. Center for Economic Poficy Research, Stanford, Calif. (1989).Google Scholar
- 12 Denistm, E.F. Estimates of productivity Change by Industry: An Evaluation arm an Alternative. The Brookings Institution, Washington), DC, i989.Google Scholar
- 13 Economist. Working harder, doling less. (1990), 17,Google Scholar
- 14 Franke, R.F. Technological revolution and productivity decline' Computer introduction it, the financial industry, Tech. Forecast. Soc. Change 3I (1987).Google Scholar
- 15 Hammer. M. Reengineering work: Don't automate, obliterate. Harvard Bua'. Rev. (July-Aug. 1990), 104-t 12.Google Scholar
- 16 Harris, S.E. and Katz, J.L. Predicting organizational performance using information technology, managerial control ratios. In Prorceedings of the Twenty--Second Hawaikm International Conqference ~m System Science (Honolulu, Hawaii, 1989).Google Scholar
- 17 Kaplan, R. Management accounting for advanced technological environments. Sci. 24.5 (Sept. 1989), 819- 823.Google ScholarCross Ref
- 18 Kemerer, C.F. and Sosa, G.L. Systems development risks in strategic information systems. In~o. &(tw. Tech.33, 3 (Apr. 1991), 212-213. Google ScholarDigital Library
- 19 Loveman, G.W. An assessment of the productivity impact on information technologies. MIT Management in the 1990s working paper #88-054, July, 1988.Google Scholar
- 20 Malone, T. and Rockart, J. Computers, networks and the corporation. Sci. LAm, 265, 3 (1991), 128--136.Google Scholar
- 21 Morrison, C.j. and Berndt, E.R. Assessing the productivity of infi)rmation technology" equipment iu the U.S. manufacturing industries. National Bureau of Economic Research Working Paper #3582, Jan. 1990.Google Scholar
- 22 Noyelle, T., Ed. Skills, Wages, and Pro. ductivity, in the Service Sector. Westview Press, Boulder, Col., 1990.Google Scholar
- 23 Osterman, P. The impact of computers on the employment of clerks and managers. Industrial and Labor Relations Review 39 (1986), 175-1186.Google ScholarCross Ref
- 24 tanko, R.R. Is office productivity stagnant? 3.IiS Q. (June 1991), 190- 203. Google ScholarDigital Library
- 25 Parsons, DJ., Gottlieb, C.C. and Denny, M. th-oductivity and computers in Canadian banking. University of Toronto, Dept .. of Economics working paper #9(112, .June, 1990.Google Scholar
- 26 Roach, S.S. America's white-collar productivity dilemma. Manuf Eng. (Aug. 1989), 104.Google Scholar
- 27 Roach, S.S. Services under siege- The restructuring imperative, liar. yard Bus, Re,,,. (Sept.-Oct. 1991), 82- 92.Google Scholar
- 28 Siegel, D. and Grilicbes, Z. Purchased service?s,, oul so|l lcing, coin puters ;rod productivity in manufacturing, National Bureau o| Economic Research WP#3678, Apr., 1991,Google Scholar
- 29 Snow, C.P. Government science and public lx)licy. Science t5i (1966), 650- 653.Google Scholar
- 30 Strassmann, P:A. The Business Value of Computers, Infot-mation Economics Press, New Canaan, Conn., 1990. Google ScholarDigital Library
- 31 "T'hurow, L. Economic paradigms atut stow American productivity growth. Ea.~tern Eco. J. 13 (1987), 333-343.Google Scholar
- 32 Weill, P. Do Computers Pay Off? iCII Press, Washington, D.C., 1990.Google Scholar
Index Terms
- The productivity paradox of information technology
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