Understanding the dynamics between organizational IT investment strategy and market performance: A system dynamics approach

Yi Wen Liao, Yu Min Wang, Yi-Shun Wang, Yi Min Tu

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Abstract In recent years, information technology (IT) companies have faced fierce competition across dynamic environments; as such, ways of enhancing organizational performance and obtaining competitive advantage through IT investment have become important issues for academia and businesses. Further, time delays between IT investment transfers and actual market performance make measuring the impact of IT investment on market performance more complex. Based on the perspective of long-term, non-linear, closed-loop causality, this study develops a computerized system dynamics model to analyze the dynamic relationships between organizational IT investment strategy and market performance within information-intensive service industries. The results of this study provide several important implications for IT investment management research and practice. The proposed system dynamics model also provides IT managers with a useful decision support tool for evaluating different IT investment strategies.

Original languageEnglish
Article number2660
Pages (from-to)46-57
Number of pages12
JournalComputers in Industry
Volume71
DOIs
Publication statusPublished - 2015 Aug 1

Fingerprint

Information technology
Dynamical systems
Dynamic models
Industry
Time delay
Managers

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

Cite this

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Understanding the dynamics between organizational IT investment strategy and market performance : A system dynamics approach. / Liao, Yi Wen; Wang, Yu Min; Wang, Yi-Shun; Tu, Yi Min.

In: Computers in Industry, Vol. 71, 2660, 01.08.2015, p. 46-57.

Research output: Contribution to journalArticle

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AB - Abstract In recent years, information technology (IT) companies have faced fierce competition across dynamic environments; as such, ways of enhancing organizational performance and obtaining competitive advantage through IT investment have become important issues for academia and businesses. Further, time delays between IT investment transfers and actual market performance make measuring the impact of IT investment on market performance more complex. Based on the perspective of long-term, non-linear, closed-loop causality, this study develops a computerized system dynamics model to analyze the dynamic relationships between organizational IT investment strategy and market performance within information-intensive service industries. The results of this study provide several important implications for IT investment management research and practice. The proposed system dynamics model also provides IT managers with a useful decision support tool for evaluating different IT investment strategies.

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