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Investigating and comparing the dynamic patterns of the business value of information technology over time
Authors:Winston T Lin  Chia-Hung Chuang
Institution:1. The State University of New York at Buffalo, School of Management, 326 Jacobs Management Center, Buffalo, NY 14260-4000, USA;2. University of North Dakota, Management Department, 330 Gamble Hall, Grand Forks, ND 58202, USA
Abstract:The long-debated issue of the business value of information technology (IT) to the firm (country) has received a great deal of attention in the literature. But the studies have rarely examined the dynamic patterns of the IT value as measured by the firm’s productive efficiency over time. The objective of this paper is to apply the three-factor constant elasticity of substitution (CES) time-varying stochastic production frontier models and use the same data set as used in several previous studies to investigate the dynamic patterns of IT value over time in connection with the issues of inputs substitution and complement and the productivity paradox. This paper adopts two analytical skills, collective and individual, to analyze the empirical results. Collectively, we find that the dynamic patterns of IT value are closely related to the substitution and complement of three inputs and the IT productivity paradox. Individually, we identify five common dynamic patterns of the IT value measured by productive efficiency and interpret their implications for the productivity paradox as summarized in a two by two matrix of practical applications and strategies. This matrix accounts for four different scenarios of the relationship between the average productive efficiency and the IT productivity paradox, illustrates some practical applications by the analytical results, and provides some business insights and managerial strategies for IT decision makers and PO/IS managers. This represents a new contribution to the understanding of the dynamic influence of IT investments upon the value of IT over time.
Keywords:Decision support systems  Time-varying stochastic CES production frontier  Dynamic patterns  The IT productivity paradox  Substitution and complement of inputs
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