A Multi-Agent View of Strategic Planning Using Group Support Systems and Artificial Intelligence

Persistent Link:
http://hdl.handle.net/10150/105690
Title:
A Multi-Agent View of Strategic Planning Using Group Support Systems and Artificial Intelligence
Author:
Orwig, Richard E.; Chen, Hsinchun; Vogel, D.; Nunamaker, Jay F.
Citation:
A Multi-Agent View of Strategic Planning Using Group Support Systems and Artificial Intelligence 1996, 5(1):37-59 Group Decision and Negotiation
Publisher:
Kluwer
Journal:
Group Decision and Negotiation
Issue Date:
1996
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105690
Submitted date:
2004-08-17
Abstract:
The strategic planning process is dynamic and complex. Including a Group Support System (GSS) in the problem-solving process can improve the content quality of the strategic plan by allowing increased participation by more members of the organization. However, it can also add to the complexity of the problem by increasing the quantity of textual information that can result from group activity. Added complexity increases cognitive overload and frustrations of those participants negotiating the contents of the strategic plan. This article takes a multi-agent view of the strategic planning process. It considers group participants as multiple agents concerned with the content quality of the strategic plan. The facilitator agent is responsible for guiding groups in the strategic plan construction process as well as for solving process problems such as cognitive overload. We introduce an AI Concept Categorizer agent, a software tool that supports the facilitator in addressing the process problem of cognitive overload associated with convergent group activities by synthesizing group textual output into conceptual clusters. The implementation of this tool reduces frustrations which groups encounter in the process of classifying textual output and provides more time for discussion of the concepts themselves. Because of the large amount of convergent activity necessary for strategic planning, the addition of the AI Concept Categorizer to the strategic planning process should increase the quality of the strategic plan and the buy-in of the participants in the strategic planning process.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Management Information Systems; Artificial Intelligence
Local subject classification:
National Science Digital Library; NSDL; Artificial Intelligence lab; AI lab; Strategic planning; Group systems support; Electronic meeting systems; Concept clustering; Group problem solving; Facilitation of group processes

Full metadata record

DC FieldValue Language
dc.contributor.authorOrwig, Richard E.en_US
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorVogel, D.en_US
dc.contributor.authorNunamaker, Jay F.en_US
dc.date.accessioned2004-08-17T00:00:01Z-
dc.date.available2010-06-18T23:31:54Z-
dc.date.issued1996en_US
dc.date.submitted2004-08-17en_US
dc.identifier.citationA Multi-Agent View of Strategic Planning Using Group Support Systems and Artificial Intelligence 1996, 5(1):37-59 Group Decision and Negotiationen_US
dc.identifier.urihttp://hdl.handle.net/10150/105690-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThe strategic planning process is dynamic and complex. Including a Group Support System (GSS) in the problem-solving process can improve the content quality of the strategic plan by allowing increased participation by more members of the organization. However, it can also add to the complexity of the problem by increasing the quantity of textual information that can result from group activity. Added complexity increases cognitive overload and frustrations of those participants negotiating the contents of the strategic plan. This article takes a multi-agent view of the strategic planning process. It considers group participants as multiple agents concerned with the content quality of the strategic plan. The facilitator agent is responsible for guiding groups in the strategic plan construction process as well as for solving process problems such as cognitive overload. We introduce an AI Concept Categorizer agent, a software tool that supports the facilitator in addressing the process problem of cognitive overload associated with convergent group activities by synthesizing group textual output into conceptual clusters. The implementation of this tool reduces frustrations which groups encounter in the process of classifying textual output and provides more time for discussion of the concepts themselves. Because of the large amount of convergent activity necessary for strategic planning, the addition of the AI Concept Categorizer to the strategic planning process should increase the quality of the strategic plan and the buy-in of the participants in the strategic planning process.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherKluweren_US
dc.subjectManagement Information Systemsen_US
dc.subjectArtificial Intelligenceen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial Intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherStrategic planningen_US
dc.subject.otherGroup systems supporten_US
dc.subject.otherElectronic meeting systemsen_US
dc.subject.otherConcept clusteringen_US
dc.subject.otherGroup problem solvingen_US
dc.subject.otherFacilitation of group processesen_US
dc.titleA Multi-Agent View of Strategic Planning Using Group Support Systems and Artificial Intelligenceen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalGroup Decision and Negotiationen_US
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