Title
The effectiveness of Decision Support Systems: the implications of task complexity and DSS sophistication
Abstract
All Decision Support Systems (DSS) are, by their nature, designed to improve decision making effectiveness, yet a review of the experimental literature reveals that achievement of this objective is mixed. We propose that this is because DSS effectiveness is contingent upon a number of factors related to the task and DSS under investigation. This paper reports a longitudinal experiment designed to evaluate the relationship between DSS effectiveness and two such factors: DSS sophistication and task complexity. In comparison to unaided human judgement, two levels of DSS were evaluated: a deterministic spreadsheet model and a probabilistic model with a graphical risk analysis aid. Our subjects made decisions in a business simulation providing two successive phases of increasing task complexity. Initially, when task complexity was low, we found that neither DSS affected subjects' performance. In the more complex phase, both types of DSS users performed significantly better than unaided subjects. However, risk analysis users performed no better than model-only users. Interestingly, DSS users performed less homogeneously than unaided subjects in the complex phase. DSS users had greater confidence and considered more alternatives than their unaided counterparts. Risk analysis users took longer making decisions in the early stages, while model-only users became the most efficient in the later stages.
Year
DOI
Venue
1994
10.1057/jit.1994.3
JIT
Keywords
Field
DocType
information systems management,jit,geographic information systems,business information systems,decision support system,business model,computer information systems,information security,management information systems,health information systems,information management,information management system,computer information technology,information system,strategic information systems,information science,management science,information technology,accounting information systems,soft system methodology,information systems technology
Information system,Management information systems,Information management,Computer science,Risk analysis (business),Decision support system,Business simulation,Knowledge management,Strategic information system,Sophistication
Journal
Volume
Issue
ISSN
9
1
1466-4437
Citations 
PageRank 
References 
9
0.72
1
Authors
2
Name
Order
Citations
PageRank
Richard Webby1566.70
Marcus O'Connor290.72