DocumentCode :
2472821
Title :
MAPS: an international market entry planning system
Author :
Mitri, Michel
Author_Institution :
Dept. of Finance & Comput. Inf. Syst., Eastern Michigan Univ., Ypsilanti, MI, USA
fYear :
1995
fDate :
20-23 Feb 1995
Firstpage :
354
Lastpage :
360
Abstract :
This paper describes an international marketing expert system that helps managers make strategic decisions regarding market entry. The system is called MAPS, for market-entry planning system. MAPS is being developed using a combination of AI knowledge representations (i.e. rules, semantic networks, text-analysis techniques) and multi-attribute decision models for judgment and evaluation. Previous research by the author and colleagues resulted in several components of MAPS, developed largely as stand-alone products. These components were developed using a shell called CEVAL (Candidate Evaluator). CEVAL is currently being used to integrate the components into a comprehensive system that addresses many major issues facing international market planners. This system serves both an educational purpose and a decision support purpose
Keywords :
business data processing; computer aided instruction; decision support systems; expert systems; knowledge representation; marketing; marketing data processing; strategic planning; CEVAL; Candidate Evaluator; MAPS; decision support; educational purpose; international market entry planning system; international marketing expert system; knowledge representations; market entry; market-entry planning system; multi-attribute decision models; rules; semantic networks; stand-alone products; strategic decisions; text-analysis techniques; Attenuation; Expert systems; Finance; Financial management; Indexing; Management information systems; Marketing management; Strategic planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-8186-7070-3
Type :
conf
DOI :
10.1109/CAIA.1995.378800
Filename :
378800
Link To Document :
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