Publication Type
Journal Article
Version
acceptedVersion
Publication Date
9-1990
Abstract
This paper addresses the problem of managing the development and implementation of a large expert system in an organization. A traditional systems analysis and design methodology is used as a framework to highlight similarities and differences in managing large scale traditional computer based projects and large expert systems. As a non-technical, prescriptive guide, this article focusses on defining at each stage in the project, the tasks to be accomplished, resources required, impact on the organization, likely benefits and potential problems. The case of a large expert system implemented by a multinational corporation across several European sites is used to clarify and expand upon the management guidelines provided.
Keywords
Expert Systems, Artificial Intelligence, Management, Systems Analysis and Design
Discipline
Business Administration, Management, and Operations | Operations and Supply Chain Management | Technology and Innovation
Research Areas
Operations Management
Publication
Information and Management
Volume
19
Issue
2
First Page
115
Last Page
131
ISSN
0378-7206
Identifier
10.1016/0378-7206(90)90021-9
Publisher
Elsevier
Citation
WEITZ, Rob R. and DE MEYER, Arnoud.
Managing Expert Systems: A Framework and Case Study. (1990). Information and Management. 19, (2), 115-131.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/4115
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/0378-7206(90)90021-9
Included in
Business Administration, Management, and Operations Commons, Operations and Supply Chain Management Commons, Technology and Innovation Commons