An empirical study of IT as a factor of production: The case of Net-enabled IT assets

A great deal of research in the information systems field has focused on the link between IT and firm-level outputs, like productivity and performance. This paper critically examines the economic assumptions and methodological approaches that underlie much of this work. Three important issues and gaps are identified. First, the functional form of the relationship between IT and firm-level outputs has been inconsistently specified, or overlooked. Second, multiple input and output variables are often arbitrarily combined. Third, the characteristics of IT as a factor of production have not been tested in the era of Net-enabled IT assets. This paper sheds light on these issues by analyzing an appropriate dataset in a two-stage process. In the first stage, data envelopment analysis (DEA) is employed in order to derive a meaningful measure for IT productivity from a compilation of input and output variables. This measure is treated as a dependent variable in a multivariate regression analysis during the second stage. The paper confirms the diminishing marginal productivity and input substitutability of IT for the sub-category of Net-enabled IT assets.

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

[2]  Tridas Mukhopadhyay,et al.  A Microeconomic Production Assessment of the Business Value of Management Information Systems: The Case of Inventory Control , 1993, J. Manag. Inf. Syst..

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

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

[5]  Lawrence A. West,et al.  Private Markets for Public Goods: Pricing Strategies of Online Database Vendors , 2000, J. Manag. Inf. Syst..

[6]  Kevin Zhu,et al.  The Complementarity of Information Technology Infrastructure and E-Commerce Capability: A Resource-Based Assessment of Their Business Value , 2004, J. Manag. Inf. Syst..

[7]  E. Brynjolfsson,et al.  Beyond Computation: Information Technology, Organizational Transformation and Business Performance , 2000 .

[8]  Daniel Robey,et al.  Theories that Explain Contradiction: Accounting for the Contradictory Organizational Consequences of Information Technology , 1995, ICIS.

[9]  Rajiv D. Banker,et al.  A Field Study of Scale Economies in Software Maintenance , 1997 .

[10]  Kenneth L. Kraemer,et al.  e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector , 2002, Inf. Syst. Res..

[11]  John C. Henderson,et al.  Data Envelopment Analysis for Managerial Control and Diagnosis , 1989 .

[12]  Robin C. Sickles,et al.  The CES-Translog: Specification and Estimation of a New Cost Function , 1984 .

[13]  S. Kobrin.  Territoriality and the Governance of Cyberspace , 2001 .

[14]  Nirup M. Menon,et al.  Productivity of Information Systems in the Healthcare Industry , 2000, Inf. Syst. Res..

[15]  A. Adam.  Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[16]  Kenneth L. Kraemer,et al.  Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry , 2005, Inf. Syst. Res..

[17]  Bijoy Bordoloi,et al.  A Framework for Assessing the Relationship between Information Technology Investments and Firm Performance , 2000, J. Manag. Inf. Syst..

[18]  Gautam Ray,et al.  Information Technology and the Performance of the Customer Service Process: A Resource-Based Analysis , 2005, MIS Q..

[19]  Nirup M. Menon,et al.  Information Technology Value through Different Normative Lenses , 2000, J. Manag. Inf. Syst..

[20]  Adolph I. Katz.  MEASURING TECHNOLOGY’S BUSINESS VALUE: Organizations Seek to Prove IT Benefits , 1993 .

[21]  Kenneth L. Kraemer,et al.  The Production of Information Services: A Firm-Level Analysis of Information Systems Budgets , 2000, Inf. Syst. Res..

[22]  Stephan Kudyba,et al.  Research Report: Increasing Returns to Information Technology , 2002, Inf. Syst. Res..

[23]  Kenneth L. Kraemer,et al.  The productivity impact of information technology across competitive regimes: The role of industry concentration and dynamism , 2007, Decis. Support Syst..

[24]  A. Barua,et al.  The Information Technology Productivity Paradox Revisited: A Theoretical and Empirical Investigation in the Manufacturing Sector , 1997 .

[25]  Effy Oz,et al.  Information technology productivity: in search of a definite observation , 2005, Inf. Manag..

[26]  Charles H. Kriebel,et al.  Information Technologies and Business Value: An Analytic and Empirical Investigation , 1995, Inf. Syst. Res..

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

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

[29]  Joe Zhu,et al.  Quantitative models for performance evaluation and benchmarking , 2003 .

[30]  Kenneth L. Kraemer,et al.  Information technology and economic performance , 2003, ACM Comput. Surv..

[31]  Wesley Shu,et al.  Does information technology provide banks with profit? , 2005, Inf. Manag..

[32]  Karen J. Pettingell,et al.  Measuring Productivity of Software Projects: A Data Envelopment Analysis Approach , 1996 .

[33]  Marie-Claude Boudreau,et al.  Accounting for the Contradictory Organizational Consequences of Information Technology: Theoretical Directions and Methodological Implications , 1999, Inf. Syst. Res..

[34]  W. Cook,et al.  Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches , 2000 .

[35]  Jose L. Salmeron,et al.  Using the DEA methodology to rank software technical efficiency , 2005, CACM.

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

[37]  Rajiv D. Banker,et al.  The Moderating Effects of Structure on Volatility and Complexity in Software Enhancement , 2000, Inf. Syst. Res..

[38]  Rajiv Kohli,et al.  Measuring Information Technology Payoff: A Meta - Analysis of Structural Variables in Firm - Level Empirical Research , 2003, Inf. Syst. Res..

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

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

[41]  Frances X. Frei,et al.  MEASUREMENT OF MULTIPLE SITES IN SERVICE FIRMS WITH DATA ENVELOPMENT ANALYSIS , 1999 .

[42]  E. Brynjolfsson,et al.  Information Technology As A Factor Of Production: The Role Of Differences Among Firms , 1995 .

[43]  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..