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Investigating and comparing the dynamic patterns of the business value of information technology over time

  • University of North Dakota

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

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.

Original languageEnglish
Pages (from-to)249-261
Number of pages13
JournalEuropean Journal of Operational Research
Volume228
Issue number1
DOIs
StatePublished - Jul 1 2013

Keywords

  • Decision support systems
  • Dynamic patterns
  • Substitution and complement of inputs
  • The IT productivity paradox
  • Time-varying stochastic CES production frontier

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