PERCEIVED INFORMATION STRUCTURE: IMPLICATIONS FOR DECISION SUPPORT SYSTEM DESIGN
作者:
Paul R. Watkins,
期刊:
Decision Sciences
(WILEY Available online 1982)
卷期:
Volume 13,
issue 1
页码: 38-59
ISSN:0011-7315
年代: 1982
DOI:10.1111/j.1540-5915.1982.tb00128.x
出版商: Blackwell Publishing Ltd
关键词: Decision Support Systems;Human Information Processing;Scaling Methods
数据来源: WILEY
摘要:
ABSTRACTTop‐level decision making in business organizations is characterized by high degrees of uncertainty, incomplete information, and conflicting objectives. To support top‐level decision making effectively, decision support systems (DSSs) have been proposed. Information supplied by a DSS must be selective in that not all possible information sets may be feasibly or economically represented in the data base. This study suggests that discovery of perceptual complexity (dimensionality) of information items, and the subsequent categorization of decision makers having the same perceptions of those information items, is a first step in the ultimate design of an effective DSS. Through the use of multidimensional scaling in a field setting, this study shows the feasibility of creating relatively homogeneous groups of decision makers according to the content and number of dimensions associated with various information items. Further results of the research suggest that information can be tailored to classes of users, which has cost‐benefit implications as well as the potential to improve the quality of the resultant deci
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