Abstract
Most studies of DSS failure involve survey research, based on factor models. This paper takes an alternative approach and reports on the intensive investigation of a single DSS project in a manufacturing company. The theoretical model informing the research is Keen’s adaptive design approach that conceptualizes DSS development as a series of adaptive loops between the system, the client, and the analyst. The case study analysis identifies a series of factors or processes that can interfere with Keen’s adaptive loops; we call these factors evolutionary disruptors. Knowledge of these disruptors may alert DSS developers to the likelihood of project failure earlier than would otherwise be the case.
Original language | English |
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Pages (from-to) | 91-111 |
Number of pages | 21 |
Journal | Journal of Decision Systems |
Volume | 13 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2004 |
Keywords
- DSS
- Evolutive design
- Internet DSS
- IS development methods and tools