Performance evaluation of production of IT capital goods across OECD countries: A stochastic frontier approach to Malmquist index

As integrated supply chains, ubiquitous computing, and mobile applications have become the backbone for conducting business nowadays, the economic significance of information technology (IT) is self-evident. In this paper, we study IT value from an unconventional perspective: the production of IT capital goods. Using the true fixed-effects model of translog stochastic production frontier, we evaluate the performance of IT industries for 19 Organization of Economic Cooperation and Development (OECD) countries over the period of 2000 to 2009. We examine the productivity growth of these IT industries based on the Malmquist index and further analyze these productivity patterns through technological change and efficiency change. Overall, these IT industries are found to enjoy greater productivity growth than other industries when compared with previous findings. Our results show that technological progress is the main driver of productivity growth for the IT industry, efficiency change has a negligible effect, and each country's IT industry exhibits a distinctive performance profile. Policy implications are drawn from our results and related issues are identified for future research. We also highlight the advance of research methodology used in the study that can account for measurement errors, random fluctuations, and unobserved heterogeneity commonly encountered in empirical information systems research.

[1]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[2]  Benjamin B. M. Shao,et al.  The impact of offshore outsourcing on IT workers in developed countries , 2007, CACM.

[3]  R. Solow TECHNICAL CHANGE AND THE AGGREGATE PRODUCTION FUNCTION , 1957 .

[4]  Benjamin B. M. Shao,et al.  The business value of information technology and inputs substitution: The productivity paradox revisited , 2006, Decis. Support Syst..

[5]  K. Kraemer,et al.  : Evidence from , 2022 .

[6]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[7]  Shu Lin,et al.  Plant Information Systems, Manufacturing Capabilities, and Plant Performance , 2006, MIS Q..

[8]  F. Javier Lerch,et al.  Assessing the impact of information technology on labor productivity A field study , 1997, Decis. Support Syst..

[9]  W. Greene The Econometric Approach to Efficiency Analysis , 2008 .

[10]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[11]  Dae Ryun Chang,et al.  Modeling Intercategory and Generational Dynamics for A Growing Information Technology Industry , 2000 .

[12]  B. R. Nault,et al.  Investments in Information Technology: Indirect Effects and Information Technology Intensity , 2006 .

[13]  K. Stiroh Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say? , 2001 .

[14]  Mary O'Mahony,et al.  Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database , 2009 .

[15]  Winston T. Lin The business value of information technology as measured by technical efficiency: Evidence from country-level data , 2009, Decis. Support Syst..

[16]  R. Färe,et al.  Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries , 1994 .

[17]  Neeraj Mittal,et al.  Research Note - Investments in Information Technology: Indirect Effects and Information Technology Intensity , 2009, Inf. Syst. Res..

[18]  Stephen S. Roach,et al.  In Search of Productivity , 1998 .

[19]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[20]  L. Willcocks,et al.  Beyond the It Productivity Paradox , 1999 .

[21]  Luis Orea,et al.  Parametric Decomposition of a Generalized Malmquist Productivity Index , 2002 .

[22]  E. Brynjolfsson,et al.  Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .

[23]  Kenneth L. Kraemer,et al.  Globalization and Increasing Returns: Implications for the U.S. Computer Industry , 1998, Inf. Syst. Res..

[24]  Kar Yan Tam,et al.  The Impact of Information Technology Investments on Firm Performance and Evaluation: Evidence from Newly Industrialized Economies , 1998, Inf. Syst. Res..

[25]  Dongsong Zhang,et al.  The Effects of Tree-View Based Presentation Adaptation on Model Web Browsing , 2011, MIS Q..

[26]  A. Raman,et al.  Contracting in a Supply Chain with Stochastic Demand and Substitute Products , 2009 .

[27]  P. Romer Endogenous Technological Change , 1989, Journal of Political Economy.

[28]  Stephen D. Oliner,et al.  The Resurgence of Growth in the Late 1990s: Is Information Technology the Story? , 2000 .

[29]  L. R. Christensen,et al.  THE ECONOMIC THEORY OF INDEX NUMBERS AND THE MEASUREMENT OF INPUT, OUTPUT, AND PRODUCTIVITY , 1982 .

[30]  R. Solow We’d better watch out , 1987 .

[31]  Benjamin B. M. Shao,et al.  Relative Sizes of Information Technology Investments and Productive Efficiency: Their Linkage and Empirical Evidence , 2000, J. Assoc. Inf. Syst..

[32]  D. Jorgenson,et al.  A Retrospective Look at the U.S. Productivity Growth Resurgence , 2007 .

[33]  Jungsoo Park,et al.  Impact of International Information Technology Transfer on National Productivity , 2007, Inf. Syst. Res..

[34]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[35]  Kenneth L. Kraemer,et al.  Information Technology and Economic Development: Ireland's Coming of Age with Lessons for Developing Countries , 1999 .

[36]  Dong-hyun Oh,et al.  A global Malmquist-Luenberger productivity index , 2010 .

[37]  Skill-Biased Technical Change , 2008 .

[38]  Jorgen P. Bansler,et al.  Corporate Intranet Implementation: Managing Emergent Technologies and Organizational Practices , 2000, J. Assoc. Inf. Syst..

[39]  Weiguo Fan,et al.  Competitive Actions and Dynamics in the Digital Age: An Empirical Investigation of Social Networking Firms , 2010, Inf. Syst. Res..

[40]  Lorin M. Hitt,et al.  Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value , 1996, MIS Q..

[41]  Erik Brynjolfsson,et al.  Race against the machine : how the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy , 2011 .

[42]  Simon Kuznets,et al.  Modern Economic Growth: Findings and Reflections , 1971 .

[43]  Stephen D. Oliner,et al.  Information technology and productivity: where are we now and where are we going? , 2003 .

[44]  U. Kohli Production theory, technological change, and the demand for imports , 1982 .

[45]  Jason L. Dedrick,et al.  Asia's computer challenge : threat or opportunity to the United States and the world? , 1998 .

[46]  T. S. Raghu,et al.  Electronic Medical Records and Cost Efficiency in Hospital Medical-Surgical Units , 2010, Inquiry : a journal of medical care organization, provision and financing.

[47]  Stephen D. Oliner,et al.  Explaining a Productive Decade , 2007 .

[48]  S. Malmquist Index numbers and indifference surfaces , 1953 .

[49]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

[50]  Winston T. Lin,et al.  A partial adjustment approach to evaluating and measuring the business value of information technology , 2010 .

[51]  Alina M. Chircu,et al.  Limits to value in electronic commerce-related IT investments , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[52]  Poh-Kam Wong,et al.  Leveraging the Global Information Revolution for Economic Development: Singapore's Evolving Information Industry Strategy , 1998, Inf. Syst. Res..

[53]  Peter Weill,et al.  The Relationship Between Investment in Information Technology and Firm Performance: A Study of the Valve Manufacturing Sector , 1992, Inf. Syst. Res..

[54]  D. Jorgenson Information Technology and the U.S. Economy , 2001 .

[55]  D. Jorgenson,et al.  Information Technology and Growth , 1999 .

[56]  Susanto Basu,et al.  Information and Communications Technology as a General-Purpose Technology: Evidence from U.S Industry Data , 2006 .

[57]  Robert J. Kauffman,et al.  Systems Design, Process Performance, and Economic Outcomes in International Banking , 2006, J. Manag. Inf. Syst..

[58]  Jack E. Triplett,et al.  Handbook on Hedonic Indexes and Quality Adjustments in Price Indexes: Special Application to Information Technology Products , 2006 .

[59]  JoAnne Yates,et al.  Electronic markets and electronic hierarchies , 1987, CACM.

[60]  J. Tongzon,et al.  Estimating total factor productivity growth in Singapore at sectoral level using data envelopment analysis , 2006 .

[61]  Sergio Perelman,et al.  A Parametric Distance Function Approach for Malmquist Productivity Index Estimation , 2001 .

[62]  Chung-ki Min,et al.  The substitution of information technology for other factors of production: a Firm Level Analysis , 1997 .

[63]  Benjamin B. M. Shao,et al.  Technical efficiency analysis of information technology investments: a two-stage empirical investigation , 2002, Inf. Manag..

[64]  Andrea Bassanini,et al.  Job Protection Legislation and Productivity Growth in OECD Countries , 2009 .

[65]  Sabyasachi Mitra,et al.  Analyzing Cost-Effectiveness of Organizations: The Impact of Information Technology Spending , 1996, J. Manag. Inf. Syst..

[66]  Winston T. Lin,et al.  Analyzing the relationships between information technology, inputs substitution and national characteristics based on CES stochastic frontier production models , 2009 .

[67]  W. Greene Distinguishing between Heterogeneity and Inefficiency: Stochastic Frontier Analysis of the World Health Organization S Panel Data on National Health Care Systems , 2003, Health economics.

[68]  Matt E. Thatcher,et al.  The Impact of Technology Investments on a Firm’s Production Efficiency, Product Quality, and Productivity , 2001, J. Manag. Inf. Syst..

[69]  Jack E. Triplett,et al.  Productivity in the U.S. Services Sector: New Sources of Economic Growth , 2004 .

[70]  Dale W. Jorgenson,et al.  Industry Origins of the American Productivity Resurgence , 2007 .

[71]  Kenneth L. Kraemer,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..

[72]  F. J. Arcelus,et al.  Measuring sectoral productivity across time and across countries , 1999, Eur. J. Oper. Res..

[73]  Vijay Gurbaxani,et al.  The impact of information systems on organizations and markets , 1991, CACM.

[74]  Kenneth L. Kraemer,et al.  International dimensions of the productivity paradox , 1998, CACM.

[75]  Kannan Srinivasan,et al.  Information Technology Impact on Process Output and Quality , 1997 .

[76]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .

[77]  B.B.M. Shao,et al.  Measuring the value of information technology in technical efficiency with stochastic production frontiers , 2001, Inf. Softw. Technol..

[78]  Frank S. T. Hsiao,et al.  Korean And Taiwanese Productivity Performance: Comparisons at Matched Manufacturing Levels , 2005 .

[79]  Mayuram S. Krishnan,et al.  Evaluating the cost of software quality , 1998, CACM.

[80]  Chris F. Kemerer Progress, obstacles, and opportunities in software engineering economics , 1998, CACM.

[81]  P. Schmidt,et al.  Production Frontiers and Panel Data , 1984 .