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Decision Making, Habitual Domains And Information Technology

Author

Listed:
  • P. L. YU

    (School of Business, University of Kansas, Lawrence, Kansas 66045–2003, USA;
    Institute of Information Management, National Chiao Tung University, Taiwan, ROC)

  • C. I. CHIANG

    (Institute of Traffic and Transportation, National Chiao Tung University, Taipei, Taiwan, ROC)

Abstract

In this paper, we discuss how information technology (IT) affects and influences people to make decisions. We first introduce human behavior mechanism and habitual domains — the software that drive the behaviors. Then we discuss the impacts of IT on decision elements and environment, and then IT's impacts on a variety of decision problems including routine problems, mixed routine problems, fuzzy problems and challenging problems. IT is useful in solving routine problems but not as obvious in solving fuzzy and challenging problems. To solve fuzzy and challenging problems, an effective concept and model of competence set analysis is introduced. Finally, we describe three types of competence set analysis and show how IT can help in these three types of problems.

Suggested Citation

  • P. L. Yu & C. I. Chiang, 2002. "Decision Making, Habitual Domains And Information Technology," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 5-26.
    • Handle: RePEc:wsi:ijitdm:v:01:y:2002:i:01:n:s0219622002000063
    DOI: 10.1142/S0219622002000063
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    Citations

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    Cited by:

    1. Ming Hung Lin & Mei Hua Huang & Wan Chun Hsiung, 2014. "The Learning Feature of Deep Knowledge and Its Relationship With Exercise," SAGE Open, , vol. 4(2), pages 21582440145, May.
    2. Josef Frysak & Edward W. N. Bernroider & Konradin Maier, 2017. "An Effort Feedback Perspective on Persuasive Decision Aids for Multi-Attribute Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 161-181, January.
    3. Moussa Larbani & Po Lung Yu, 2020. "Empowering Data Mining Sciences by Habitual Domains Theory, Part I: The Concept of Wonderful Solution," Annals of Data Science, Springer, vol. 7(3), pages 373-397, September.

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