An Experimental Study of Executive Decision-Making With Implications for Decision Support

被引:2
|
作者
Ow, Terence T. [2 ]
Morris, James G. [1 ]
机构
[1] Univ Wisconsin, Wisconsin Sch Business, Operat & Informat Management Dept, Madison, WI 53706 USA
[2] Univ Wisconsin, Dept Management, Coll Business Adm, Sch Business Adm, Milwaukee, WI 53201 USA
关键词
adaptive thinking; bounded rationality; business intelligence; cognitive modeling; decision-making; decision support systems; innovativeness; policy-capturing; risk-taking propensity; POLICY-CAPTURING APPROACH; INFORMATION-TECHNOLOGY; COMPETITIVE ADVANTAGE; COGNITIVE FEEDBACK; FUZZY MEASURES; RISK-TAKING; MANAGEMENT; SYSTEMS; MODEL; PERFORMANCE;
D O I
10.1080/10919392.2010.516642
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Past research in the field of information systems has explored factors and conditions that are relevant to decision-making in many contexts. However, very little is known about how executives consider, weigh, and integrate these factors. One current school of thought holds that intuition and instincts can play a significant role and that when decision-makers use their instincts, they rely on only a relatively small subset of the cues available to them. This has implications for designing and improving decision support systems, which form a major and widespread element of modern organizational computing. We examine the decision-making policies of professional decision-makers. High-level information technology executives were asked to evaluate the likelihood of making a strategic investment in the face of varying environmental scenarios. Using policy-capturing methodology, we find differences between what the executives thought was important to their decision-making and what is revealed as actually being important. In addition, we find that personal characteristics of risk-taking propensity and innovativeness affect the way the decision-makers integrate information. We argue that the idiosyncratic nature of the executive-environment relationship calls for increased emphasis on developing suitably adapted decision support systems (e.g., business intelligence systems) for executive decision-making.
引用
收藏
页码:370 / 397
页数:28
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