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