Cognitive biases and decision support systems development: a design science approach
作者： David Arnott
DOI: 10.1111/J.1365-2575.2006.00208.X
关键词: Intelligent decision support system 、 Evidential reasoning approach 、 Decision analysis 、 Psychology 、 Design science 、 Business decision mapping 、 Design science research 、 Decision support system 、 Management science 、 Decision engineering
摘要: Abstract. This paper presents design science research that aims to improve decision support systems (DSS) development in organizations. Evolutionary has been central DSS theory and practice for decades, but a significant problem analysts remains how conceptualize the improvement of task during evolutionary development. The objective project is process outcome manager making an important decision. analyst needs have clear idea nature target strategy process. Existing psychological was examined help with conceptualization problem, cognitive bias proposed as candidate this assistance. A taxonomy 37 biases codifies complex area developed. core involves construction artefact – methodology uses focusing construct, especially its analysis cycles. major contribution project. feasibility effectiveness are evaluated participatory case study strategic where managing director supported about whether close division company.
sci-hub.se 参考文章(83)
John A. Ricketts, Powers-of-ten information biases Management Information Systems Quarterly. ,vol. 14, pp. 63- 77 ,(1990) , 10.2307/249309
Baruch Fischhoff, Judgment under uncertainty: For those condemned to study the past: Heuristics and biases in hindsight Cambridge University Press. pp. 335- 352 ,(1982) , 10.1017/CBO9780511809477.024
Jean-Claude Courbon, User-centered DSS design and implementation Implementing systems for supporting management decisions. pp. 108- 123 ,(1996) , 10.1007/978-0-387-34967-1_8
D. Kahneman, A. Tversky, Judgment Under Uncertainty: Heuristics and Biases ,(1974)
Ronald H. Coase, Everett C. Parker, Martin Greenberger, Daniel Bell, Corporations and Conscience: The Issues Sloan Management Review. ,vol. 13, pp. 1- ,(1971)
Daniel Kahneman, Amos Tversky, Intuitive Prediction: Biases and Corrective Procedures Cambridge University Press. pp. 414- 421 ,(1982) , 10.1017/CBO9780511809477.031
William E Remus, Jeffrey Kotteman, Toward intelligent decision support systems: An artificially intelligent statistician Management Information Systems Quarterly. ,vol. 10, pp. 403- 418 ,(1986)
David Mazursky, Chezy Ofir, “I Knew It All Along” Under All Conditions? or Possibly “I Could Not Have Expected It to Happen” Under Some Conditions? Organizational Behavior and Human Decision Processes. ,vol. 66, pp. 237- 240 ,(1996) , 10.1006/OBHD.1996.0052
Baruch Fischhoff, Judgment under uncertainty: Debiasing ,(1982) , 10.1017/CBO9780511809477.032
Maya Bar-Hillel, On the subjective probability of compound events Organizational Behavior and Human Performance. ,vol. 9, pp. 396- 406 ,(1973) , 10.1016/0030-5073(73)90061-5