Poulymenakou, Angeliki, Cornford, Tony 
ORCID: 0000-0001-9202-1498 and Whitley, Edgar A. ORCID: 0000-0003-1779-0814
(1992)
Knowledge acquisition for organisational problem solving : developing expert systems and beyond.
Expert Systems With Applications, 5 (1-2).
pp. 121-130.
ISSN 0957-4174
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Abstract
This paper examines the introduction of knowledge acquisition techniques to facilitate managerial and administrative problem solving. The characteristics of such problem situations do not lend themselves to normative approaches such as simply introducing expert systems. However appropriately performed knowledge acquisition can still be of benefit by providing a better understanding of problem situations and it can provide a suitable basis for the process of negotiation and compromise needed to resolve organisational problems. This emerging role for knowledge acquisition differs from that of systems analysis, for example, in that it focuses on improving the understanding of the location, ownership and impact of available organisational knowledge rather than the data flows and tasks performed within the organisation. The paper provides guidelines for performing knowledge acquisition for organisational problem solving.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.elsevier.com/locate/eswa |
| Additional Information: | Published 1992 © Elsevier. LSE has developed LSE Research Online so that users may access research output of the School. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LSE Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. You may freely distribute the URL (http://eprints.lse.ac.uk) of the LSE Research Online website. Alternative title: Knowledge acquisition to facilitate organisational problem solving. |
| Divisions: | LSE |
| Subjects: | H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Date Deposited: | 07 Jul 2006 |
| Last Modified: | 13 Sep 2024 20:59 |
| URI: | http://eprints.lse.ac.uk/id/eprint/275 |
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