The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.

In the past several decades, many expert system applications have been developed and reported in the literature. Case studies of these applications typically include a detailed description of the problem domain, knowledge acquisition techniques used and also some indication of the relative success of the application. This paper presents the results of an extensive content analysis of more than 90 expert system applications in the field of production and operations management. The content analysis presented here focuses on describing the knowledge acquisition techniques used and also on the problem domain that the applications address. For years developers have speculated that certain types of problems such as planning, are more difficult, but may yield a higher-impact system. Likewise, developers and empirical KA researchers have tried to determine the conditions under which certain KA techniques will work better than others. Researchers have also speculated for years about which techniques might work best for different problem domains. By carefully analyzing this large body of case studies and operationalizing the notion of the ‘impact’ of the expert system application, we can now begin to make normative conclusions about which techniques and which problem domains seem to yield applications that have the highest impact on the respective organization. This is also the first study that will offer more tangible evidence regarding the possible linkages between problem domains and KA techniques in a more pragmatic manner than has been done previously. In an environment of shrinking IT budgets, the results of this study can provide managers with real guidance about what projects may have the biggest potential impact on their organization.

Saved in:
Main Author: Wagner, W. P.
Other Authors: Chung, Q. B., Najdawi, M. K.
Language: English
Published: 2003
Online Access: http://ezproxy.villanova.edu/login?url=http://digital.library.villanova.edu/Item/vudl:175539
Tags: Add Tag
No Tags, Be the first to tag this record!
PID vudl:175539
id vudl:175539
modeltype_str_mv vudl-system:CoreModel
vudl-system:CollectionModel
vudl-system:ResourceCollection
hierarchytype
sequence_vudl_175490_str 0000000017
has_order_str no
hierarchy_top_id vudl:171664
hierarchy_top_title Villanova Digital Collection
hierarchy_parent_id vudl:175490
hierarchy_parent_title Chung Q
hierarchy_sequence 0000000017
hierarchy_first_parent_id_str vudl:175539
hierarchy_sequence_sort_str 0000000017
hierarchy_all_parents_str_mv vudl:171664
vudl:172968
vudl:175490
first_indexed 2014-01-11T23:32:38Z
last_indexed 2014-01-11T23:32:38Z
recordtype vudl
fullrecord <root> <url> http://digital.library.villanova.edu/files/vudl:175539/DC </url> <thumbnail> http://digital.library.villanova.edu/files/vudl:175539/THUMBNAIL </thumbnail> </root>
spelling
institution Villanova University
collection Digital Library
language English
dc_source_str_mv Expert Systems with Applications 24, 2003, 79-86.
author Wagner, W. P.
author_s Wagner, W. P.
spellingShingle Wagner, W. P.
The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.
author-letter Wagner, W. P.
author_sort_str Wagner, W. P.
author2 Chung, Q. B.
Najdawi, M. K.
author2Str Chung, Q. B.
Najdawi, M. K.
dc_title_str The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.
title The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.
title_short The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.
title_full The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.
title_fullStr The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.
title_full_unstemmed The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.
collection_title_sort_str impact of problem domains and knowledge acquisition techniques: a content analysis of p/om expert system case studies.
title_sort impact of problem domains and knowledge acquisition techniques: a content analysis of p/om expert system case studies.
description In the past several decades, many expert system applications have been developed and reported in the literature. Case studies of these applications typically include a detailed description of the problem domain, knowledge acquisition techniques used and also some indication of the relative success of the application. This paper presents the results of an extensive content analysis of more than 90 expert system applications in the field of production and operations management. The content analysis presented here focuses on describing the knowledge acquisition techniques used and also on the problem domain that the applications address. For years developers have speculated that certain types of problems such as planning, are more difficult, but may yield a higher-impact system. Likewise, developers and empirical KA researchers have tried to determine the conditions under which certain KA techniques will work better than others. Researchers have also speculated for years about which techniques might work best for different problem domains. By carefully analyzing this large body of case studies and operationalizing the notion of the ‘impact’ of the expert system application, we can now begin to make normative conclusions about which techniques and which problem domains seem to yield applications that have the highest impact on the respective organization. This is also the first study that will offer more tangible evidence regarding the possible linkages between problem domains and KA techniques in a more pragmatic manner than has been done previously. In an environment of shrinking IT budgets, the results of this study can provide managers with real guidance about what projects may have the biggest potential impact on their organization.
publishDate 2003
dc_date_str 2003
license_str protected
REPOSITORYNAME FgsRepos
REPOSBASEURL http://hades.library.villanova.edu:8088/fedora
fgs.state Active
fgs.label The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.
fgs.ownerId diglibEditor
fgs.createdDate 2013-01-22T04:47:10.489Z
fgs.lastModifiedDate 2013-12-05T17:10:28.137Z
dc.title The Impact of Problem Domains and Knowledge Acquisition Techniques: A Content Analysis of P/OM Expert System Case Studies.
dc.creator Wagner, W. P.
Chung, Q. B.
Najdawi, M. K.
dc.description In the past several decades, many expert system applications have been developed and reported in the literature. Case studies of these applications typically include a detailed description of the problem domain, knowledge acquisition techniques used and also some indication of the relative success of the application. This paper presents the results of an extensive content analysis of more than 90 expert system applications in the field of production and operations management. The content analysis presented here focuses on describing the knowledge acquisition techniques used and also on the problem domain that the applications address. For years developers have speculated that certain types of problems such as planning, are more difficult, but may yield a higher-impact system. Likewise, developers and empirical KA researchers have tried to determine the conditions under which certain KA techniques will work better than others. Researchers have also speculated for years about which techniques might work best for different problem domains. By carefully analyzing this large body of case studies and operationalizing the notion of the ‘impact’ of the expert system application, we can now begin to make normative conclusions about which techniques and which problem domains seem to yield applications that have the highest impact on the respective organization. This is also the first study that will offer more tangible evidence regarding the possible linkages between problem domains and KA techniques in a more pragmatic manner than has been done previously. In an environment of shrinking IT budgets, the results of this study can provide managers with real guidance about what projects may have the biggest potential impact on their organization.
dc.date 2003
dc.identifier vudl:175539
dc.source Expert Systems with Applications 24, 2003, 79-86.
dc.language en
license.mdRef http://digital.library.villanova.edu/copyright.html
agent.name Falvey Memorial Library, Villanova University
KHL
has_thumbnail true
THUMBNAIL_contentDigest_type MD5
THUMBNAIL_contentDigest_digest 203c69e18f4f46c81e9892448d2c07cd
THUMBNAIL_contentLocation_type INTERNAL_ID
THUMBNAIL_contentLocation_ref http://hades.library.villanova.edu:8088/fedora/get/vudl:175539/THUMBNAIL/2013-01-22T04:47:12.260Z
relsext.hasModel info:fedora/vudl-system:CoreModel
info:fedora/vudl-system:CollectionModel
info:fedora/vudl-system:ResourceCollection
relsext.itemID oai:digital.library.villanova.edu:vudl:175539
relsext.isMemberOf info:fedora/vudl:175490
relsext.hasLegacyURL http://digital.library.villanova.edu/Villanova%20Digital%20Collection/Faculty%20Fulltext/Chung%20Q/ChungQ-fe2d3a29-512c-4b70-8604-fb62e377486a.xml
relsext.sortOn title
relsext.sequence vudl:175490#17
_version_ 1478277748450394112
score 12.760075
subpages