Research on the Productivity Paradox of Information Technology
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Keywords

Information technology
Digital technology
Productivity paradox
Solow paradox
Research progress

DOI

10.26689/pbes.v5i2.3821

Submitted : 2022-03-29
Accepted : 2022-04-13
Published : 2022-04-28

Abstract

The rapid development of new-generation information technology, such as the internet, big data, and artificial intelligence, has shifted the focus of theoretical and commercial attention on whether information technology can increase productivity growth. This paper systematically combs the evolution trend of the productivity paradox of information technology from the macro and micro levels. The findings revealed that there are still no unified conclusions at the macro-level, but it is generally believed that there is no productivity paradox at the micro level. There are some differences between developed and non-developed countries as well as across different industries. Based on the complementary mechanism theory, it is found that information technology forms a complementary effect with human capital, technological innovation, organizational change, and management practice, which can provide ideas for solving the productivity paradox of information technology. Finally, the future research direction for the productivity paradox of information technology is determined from the macro and micro levels.

References

Solow RM, 1987, We’d Better Watch Out, New York Times Book Review, 36.

Jiang JQ, Qiao YQ, Sun F, 2002, Information Technology Revolution and Productivity Paradox. China’s Industrial Economy, 2002(12): 21-27.

Triplett JE, 1999, The Solow Productivity Paradox: What do Computers do to Productivity?. The Canadian Journal of Economics, 32(2): 309-334.

David PA, 1990, The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox. The American Economic Review, 80(2): 355-361.

Oliner SD, Sichel DE, Triplett JE, et al., 1994, Computers and Output Growth Revisited: How Big is the Puzzle?. Brookings Papers on Economic Activity, 1994(2): 273-334.

Jorgenson DW, Stiroh KJ, 2000, Raising the Speed Limit: U.S. Economic Growth in the Information Age. Brookings Papers on Economic Activity, 2000(1): 125-235.

Brynjolfsson E, Hitt L, 1996, Paradox Lost? Firm-level Evidence on the Returns to Information Systems Spending. Management Science, 42(4): 541-558.

Roach SS, 1991, Services Under Siege – The Restructuring Imperative. Harvard Business Review, 69(5): 82-91.

Roach SS, 1998, No Productivity Boom for Workers. Issues in Science and Technology, 14(4): 49-56.

Gordon RJ, 2000, Does the “New Economy” Measure Up to the Great Inventions of the Past?. The Journal of Economic Perspectives, 14(4): 49-74.

Oliner SD, Sichel DE, 2000, The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?. The Journal of Economic Perspectives, 14(4): 3-22.

Van Ark B, 2016, The Productivity Paradox of the New Digital Economy. International Productivity Monitor, 31(31): 3-18.

Saniee I, Kamat S, Prakash S, et al., 2017, Will Productivity Growth Return in the New Digital Era?: An Analysis of the Potential Impact on Productivity of the Fourth Industrial Revolution. Bell Labs Technical Journal, 22: 2-18.

Brynjolfsson E, 1993, The Productivity Paradox of Information Technology. Communications of Acm, 36(12): 66-77.

Pilat D, Criscuolo C, 2018, The Future of Productivity. Policy Quarterly, 14(3): 10-16.

Shao WB, Kuang X, Lin WX, 2018, Informatization and the Relative Demand of Highly Skilled Labor Force – An Empirical Study Based on China’s Micro Enterprise Level. Economic Review, 2018(02): 15-29.

Skorupinska A, Torrent-Sellens J, 2017, ICT, Innovation and Productivity: Evidence Based on Eastern European Manufacturing Companies. Journal of the Knowledge Economy, 8(2): 768-788.

Brynjolfsson E, Rock D, Syverson C, 2017, Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics. NBER Working Paper, No. w24001.

Brynjolfsson E, Rock D, Syverson C, 2020, The Productivity J-Curve: How Intangibles Complement General Purpose Technologies. NBER Working Paper, No. w25148.

Gordon RJ, 2014, The Demise of U.S. Economic Growth: Restatement, Rebuttal, and Reflections. NBER Working Paper, No. w19895.

Acemoglu D, Autor D, Dorn D, et al., 2014, Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing. The American Economic Review, 104(5): 394-399.

Acemoglu D, Restrepo P, 2018, The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment. American Economic Review, 108(6): 1488-1542.

Purdy M, Daugherty P, 2017, How AI Boosts Industry Profits and Innovation, Accenture Institute for High Performance.

Gal P, Nicoletti G, Renault T, et al., 2019, Digitalization and Productivity: In Search of the Holy Grail – Firm-level Empirical Evidence from European Countries. OECD Economics Department Working Papers, Ottawa, No. 1533.

Timmer MP, Van Ark B, 2005, Does Information and Communication Technology Drive EU-US Productivity Growth Differentials?. Oxford Economic Papers, 57(4): 693-716.

Commander S, Harrison R, Menezes-Filho N, 2011, ICT and Productivity in Developing Countries: New Firm-Level Evidence from Brazil and India. The Review of Economics and Statistics, 93(2): 528-541.

Myovella G, Karacuka M, Haucap J, 2020, Digitalization and Economic Growth: A Comparative Analysis of Sub-Saharan Africa and OECD Economies. Telecommunications Policy, 44(2): 101856.

Gan K, Zhang ZG, 2018, International Comparison of Information Technology Production Efficiency. Statistics and Decision Making, 34(10): 79-83.

Wei QY, 2019, Research on the Impact of ICT on Economic Performance – Based on the Comparative Analysis of Developed and Developing Countries. Soft Science, 33(10): 38-44.

Kireyeva AA, Nurbatsin AS, Mussabalina DS, 2021, Exploring the Impact of Information and Communication Technology in Regions of Kazakhstan. Economy of Region, 17(2): 375-388.

Dementiev VE, 2019, Productivity Paradox in Regional Dimension. Economy of Region, 15(1): 43-56.

He XG, Liang QX, Wang SL, 2019, Information Technology, Labor Structure and Enterprise Productivity – Solving the Mystery of Information Technology Productivity Paradox. Management World, 35(09): 65-80.

Li LS, Bao YF, Liu J, 2020, Research on the Impact of Intelligence on Total Factor Productivity of China’s Manufacturing Industry. Scientific Research, 38(04): 609-618.

Bartel A, Ichniowski C, Shaw K, 2007, How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills. The Quarterly Journal of Economics, 122(4): 1721-1758.

Triplett JE, Bosworth BP, 2003, Productivity Measurement Issues in Services Industries: “Baumol’s Disease” Has Been Cured. Economic Policy Review (Federal Reserve Bank of New York), 9(3): 23-33.

Sun Z, Liu LH, 2018, Does Informatization Improve the Total Factor Productivity of the Economy – Evidence from China’s Panel Data by Industry from 1979 to 2014. Economic Theory and Economic Management, 2018(5): 5-18.

Hung J, He W, Shen J, 2020, Big Data Analytics for Supply Chain Relationship in Banking. Industrial Marketing Management, 86: 144-153.

Garicano L, Heaton P, 2010, Information Technology, Organization, and Productivity in the Public Sector: Evidence from Police Departments. Journal of Labor Economics, 28(1): 167-201.

Miller AR, Tucker CE, 2011, Can Health Care Information Technology Save Babies?. Journal of Political Economy, 119(2): 289-324.

Liu Y, Li N, Zhu X, et al., 2021, How Wide is the Application of Genetic Big Data in Biomedicine. Biomedicine & Pharmacotherapy, 133: 111074.

Triplett JE, Bosworth B, 2004, Productivity in the U.S. Services Sector: New Sources of Economic Growth, Brookings Institution Press, Washington, D.C.

Berlak J, Hafner S, Kuppelwieser VG, 2020, Digitalization’s Impacts on Productivity: A Model-Based Approach and Evaluation in Germany’s Building Construction Industry. Production Planning & Control, 32(4): 335-345.

Milgrom P, Roberts J, 1990, The Economics of Modern Manufacturing – Technology, Strategy, and Organization. American Economic Review, 80(3): 511-528.

Milgrom P, Roberts J, 1995, Complementarities and Fit Strategy, Structure, and Organizational Change in Manufacturing. Journal of Accounting and Economics, 19(2): 179-208.

Tanriverdi HS, Venkatraman N, 2005, Knowledge Relatedness and the Performance of Multibusiness Firms. Strategic Management Journal, 26(2): 97-119.

Jeffers PI, Muhanna WA, Nault BR, 2008, Information Technology and Process Performance: An Empirical Investigation of the Interaction Between IT and Non-IT Resources. Decision Sciences, 39(4): 703-735.

Wang NX, Ge SL, Miao H, 2012, Complementarity and Performance Impact of Information Technology Resources and Information Technology Capabilities. Journal of Management Engineering, 26(3): 166-175.

Bresnahan TF, Brynjolfsson E, Hitt LM, 2002, Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence. The Quarterly Journal of Economics, 117(1): 339-376.

Cardona M, Kretschmer T, Strobel T, 2013, ICT and Productivity: Conclusions from the Empirical Literature. Information Economics and Policy, 25(3): 109-125.

Bloom N, Sadun R, Van Reenen J, 2012, Americans Do IT Better: US Multinationals and the Productivity Miracle. American Economic Review, 102(1): 167-201.