The partial adjustment valuation approach with dynamic and variable speeds of adjustment to evaluating and measuring the business value of information technology

In this paper we develop the partial adjustment valuation approach in which the speeds of (partial) adjustment are assumed to be dynamic and variable, rather than fixed or constant, to assessing the value of information technology (IT). The speeds of adjustment are a function of a set of macroeconomic and/or microeconomic variables, observed and unobserved and, hence, become time-varying or dynamic and variable over time. The approach is illustrated by a practical application. The results imply that the constant speeds of adjustment may overestimate or underestimate the actual speeds of adjustment and, accordingly, may miscalculate the values of performance metrics. Thus, the partial adjustment valuation approach with dynamic and variable speeds of adjustment is more realistic and, more importantly, captures the changing patterns and trends of the adjustment speeds and the performance measures as well. As such, the partial adjustment valuation approach with constant speeds of adjustment fails to adequately explain the dynamic production process of a decision making unit. The empirical evidence also conflicts with the lopsided view that the productivity paradox does not exist in developed countries.

[1]  D. Cox,et al.  An Analysis of Transformations , 1964 .

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

[3]  Winston T. Lin,et al.  A Dynamic and Stochastic Beta and Its Implications in Global Capital Markets , 2000 .

[4]  Winston T. Lin,et al.  The demand for natural gas, electricity and heating oil in the United States , 1987 .

[5]  Young Hoon Lee,et al.  Group-specific stochastic production frontier models with parametric specifications , 2010, Eur. J. Oper. Res..

[6]  Eszter Hargittai,et al.  Hurdles to Information Seeking: Spelling and Typographical Mistakes During Users' Online Behavior , 2006, J. Assoc. Inf. Syst..

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

[8]  C. Sophie Lee,et al.  Beyond productivity--productivity and the three types of efficiencies of information technology industries , 2003, Inf. Softw. Technol..

[9]  P. A. White Efficiency and productivity in R & D , 1980 .

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

[11]  A. Heshmati,et al.  The Dynamics of Capital Structure , 2000 .

[12]  Young Hoon Lee,et al.  A stochastic production frontier model with group-specific temporal variation in technical efficiency , 2006, Eur. J. Oper. Res..

[13]  A simple dynamic adjustment model of lumber and pulpwood production , 1979 .

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

[15]  A. Betzer,et al.  The Dividend Policy of German Firms , 2008 .

[16]  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..

[17]  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..

[18]  B. Casu,et al.  Integration and efficiency convergence in EU banking markets , 2010 .

[19]  Jan Kmenta,et al.  Elements of econometrics , 1988 .

[20]  Winston T. Lin,et al.  Investigating and comparing the dynamic patterns of the business value of information technology over time , 2013, Eur. J. Oper. Res..

[21]  H. Uzawa,et al.  Production Functions with Constant Elasticities of Substitution , 1962 .

[22]  Benjamin B. M. Shao,et al.  Performance evaluation of production of IT capital goods across OECD countries: A stochastic frontier approach to Malmquist index , 2012, Decis. Support Syst..

[23]  Bharat Trehan,et al.  Information technology and productivity , 2000 .

[24]  Surendra S. Yadav,et al.  Dividend policy , 2013 .

[25]  Martin Woerter,et al.  Firm Characteristics and the Cyclicality of R&D Investments , 2011 .

[26]  H. Doran Specification Tests for the Partial Adjustment and Adaptive Expectations Models , 1988 .

[27]  Ricardo J. Caballero,et al.  Beyond the Partial-Adjustment Model , 1992 .

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

[29]  Shabnam Razavyan,et al.  A global cost Malmquist productivity index using data envelopment analysis , 2012, J. Oper. Res. Soc..

[30]  D. Thornton Maximum Likelihood Estimates of a Partial Adjustment-Adaptive Expectations Model of the Demand for Money , 1982 .

[31]  Fotios Pasiouras,et al.  Assessing Bank Efficiency and Performance with Operational Research and Artificial Intelligence Techniques: A Survey , 2009, Eur. J. Oper. Res..

[32]  Ò. Jordà,et al.  Random-Time Aggregation in Partial Adjustment Models , 1999 .

[33]  Chiang Kao,et al.  Efficiency measurement for network systems: IT impact on firm performance , 2010, Decis. Support Syst..

[34]  Winston T. Lin,et al.  Forecasting foreign exchange rates with an intrinsically nonlinear dynamic speed of adjustment model , 1998 .

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

[36]  E. Morellec,et al.  Capital Structure, Credit Risk, and Macroeconomic Conditions , 2004 .

[37]  Tian Tang,et al.  Macroeconomic Conditions and Capital Structure Adjustment Speed , 2008 .

[38]  Winston T. Lin Analysis and forecasting of income statement account balances the dynamic interdependency and ARIMA approaches , 1992 .

[39]  Winston T. Lin The dynamic behavior of production in the extractive industry , 1988 .

[40]  Winston T. Lin Analysis of Lumber and Pulpwood Production in a Partial Adjustment Model with Dynamic and Variable Speeds of Adjustment , 1986 .

[41]  Lawrence M. Seiford,et al.  Data envelopment analysis (DEA) - Thirty years on , 2009, Eur. J. Oper. Res..

[42]  Winston T. Lin,et al.  The Dynamics and Stochastics of Currency Betas Based on the Unbiasedness Hypothesis in Foreign Exchange Markets , 2015 .

[43]  John Ruggiero,et al.  Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis , 2011, Eur. J. Oper. Res..

[44]  P. Rosenzweig,et al.  When can management science research be generalized internationally , 1994 .

[45]  A. Zellner An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias , 1962 .

[46]  Vasileios Zeimpekis,et al.  Data envelopment analysis models to support the selection of vehicle routing software for city logistics operations , 2012, Oper. Res..

[47]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[48]  Harold O. Fried,et al.  The measurement of productive efficiency : techniques and applications , 1993 .

[49]  H. O. Fried,et al.  Efficiency and productivity , 2008 .

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

[51]  R. King,et al.  Partial Adjustment Without Apology , 2003 .

[52]  Jens J. Krüger,et al.  A Monte Carlo study of old and new frontier methods for efficiency measurement , 2012, Eur. J. Oper. Res..

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

[54]  Benjamin B. M. Shao,et al.  Examining the Determinants of Productive Efficiency with it as a Production Factor , 2000, J. Comput. Inf. Syst..

[55]  Sanjeev Dewan,et al.  Firm Characteristics and Investments in Information Technology: Scale and Scope Effects , 1998, Inf. Syst. Res..

[56]  Winston T. Lin,et al.  The impacts of country characteristics upon the value of information technology as measured by productive efficiency , 2011 .

[57]  J. Miron On the Estimation of a Partial Adjustment Model with Autocorrelated Errors , 1973 .

[58]  Léopold Simar,et al.  How to measure the impact of environmental factors in a nonparametric production model , 2012, Eur. J. Oper. Res..

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

[60]  K. Arrow,et al.  Capital-labor substitution and economic efficiency , 1961 .

[61]  Benjamin B. M. Shao,et al.  Assessing the input effect on productive efficiency in production systems: the value of information technology capital , 2006 .

[62]  John Kennan,et al.  The Estimation of Partial Adjustment Models with Rational Expectations , 1979 .

[63]  P. Tuominen Managing Brand Equity , 1999 .

[64]  C. Phelps,et al.  REAL AND MONETARY DETERMINANTS OF STATE AND LOCAL HIGHWAY INVESTMENT, 1951-66 , 1969 .

[65]  Chia-Ching Chou,et al.  The complementarity and substitutability relationships between information technology and benefits and duration of unemployment , 2016, Decis. Support Syst..

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

[67]  Benjamin B. M. Shao,et al.  Productivity breakdown of the information and computing technology industries across countries , 2004, J. Oper. Res. Soc..

[68]  Dividend Policy of German Firms , 2004 .

[69]  Winston T. Lin Currency forecasting based on an error components-seemingly unrelated nonlinear regression model , 2005 .

[70]  Ricardo J. Caballero,et al.  Microeconomic Adjustment Hazards and Aggregate Dynamics , 1992 .

[71]  Marc Nerlove,et al.  Distributed Lags and Demand Analysis for Agricultural and Other Commodities. , 1959 .

[72]  Jan Kmenta,et al.  Elements of Econometrics: Second Edition , 1997 .

[73]  Daniele Coen-Pirani Markups, Aggregation, and Inventory Adjustment , 2004 .

[74]  Alastair R. Hall,et al.  Estimating the Speed of Adjustment in Partial Adjustment Models , 1991 .

[75]  Louis J. Maccini,et al.  Investment in Finished Goods Inventories: An Analysis of Adjustment Speeds , 1981 .

[76]  Jongkuk Lee,et al.  Supply chain efficiency and security: Coordination for collaborative investment in technology , 2011, Eur. J. Oper. Res..

[77]  Roger N. Waud Misspecification in the "Partial Adjustment" and "Adaptive Expectations" Models , 1968 .

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

[79]  M. Flannery,et al.  Partial Adjustment Toward Target Capital Structures , 2004 .

[80]  P. Farquhar MANAGING BRAND EQUITY , 1989 .

[81]  G. Box,et al.  Transformation of the Independent Variables , 1962 .