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The Business Value of IT in Light of Prospect Theory

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  • Patrick Afflerbach

Abstract

A key problem with IT decision-making is that the real value contributions of IT projects are unknown ex-ante to their executions. Thus, an organization has to rely on the expectations and perceptions of its decision makers. Moreover, these perceptions are prone to biases and display only a transfigured or irrational image of reality. This paper examines how these biases are related to the business value of IT (BVIT) and how IT decision-making can be rationalized. To this aim, a model is set up based on prospect theory, which is a frequently cited theory from behavioral economics used to descriptively analyze human value perception under risk. Applying the results found via prospect theory to IT decisions, the “perceived” BVIT is quantified and analyzed. Based on the model, the paper shows that the irrationalities rooted in human value perception provide explanations for two central paradoxes of IT. First, it reveals that they cause a disparity between the anticipated value-adding effects of IT and the actual measured outcomes, reflecting a famous observation within BVIT research known as the “productivity paradox of IT.” Second, recent studies show that IT increases the operational efficiency and competitiveness of organizations. However, only the operational effects are perceived in practice. In the paper, this one-sided perception is referred to as the “perception paradox of IT”. It is ultimately concluded that a rethinking of the position of IT within modern organizations and the establishment of suitable corporate governance mechanisms can resolve these issues, avoid irrationalities, and positively influence the performance impacts of IT. Copyright Springer Fachmedien Wiesbaden 2015

Suggested Citation

  • Patrick Afflerbach, 2015. "The Business Value of IT in Light of Prospect Theory," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(5), pages 299-310, October.
  • Handle: RePEc:spr:binfse:v:57:y:2015:i:5:p:299-310
    DOI: 10.1007/s12599-015-0400-6
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Sanjeev Dewan & Charles Shi & Vijay Gurbaxani, 2007. "Investigating the Risk-Return Relationship of Information Technology Investment: Firm-Level Empirical Analysis," Management Science, INFORMS, vol. 53(12), pages 1829-1842, December.
    3. Stephan Kudyba & Romesh Diwan, 2002. "Research Report: Increasing Returns to Information Technology," Information Systems Research, INFORMS, vol. 13(1), pages 104-111, March.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    6. Fleischmann, Marvin & Amirpur, Miglena & Benlian, Alexander & Hess, Thomas, 2014. "Cognitive Biases in Information Systems Research: A Scientometric Analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65163, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Philip Bromiley, 2009. "A Prospect Theory Model of Resource Allocation," Decision Analysis, INFORMS, vol. 6(3), pages 124-138, September.
    8. Enrico Giorgi & Thorsten Hens, 2006. "Making prospect theory fit for finance," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(3), pages 339-360, September.
    9. Mehmet Yorukoglu, 1998. "The Information Technology Productivity Paradox," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 551-592, April.
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