Applying an expert system into constructing customer's value expansion and prediction model based on AI techniques in leisure industry

Authors:
Kun-Lin Hsieh
Affiliations:
Department of Information Management, National Taitung University, No. 684, Sec. 1, Chung-Hua Road, Taitung, Taiwan 950, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

How to mine the useful business intelligence (BI) via the value analysis of customers will be an important activity to achieve the competitive advantage for most enterprises. As we known, the management performance can be enhanced by using an expert system (ES) platform to aid the necessary decision-making. Hence, in this study, we will intend to construct an ES platform to address the customer's value analysis based on artificial intelligence (AI) technique. Finally, an illustrative example owing to a leisure farm at Taitung area in Taiwan is also taken to demonstrate the feasibility and rationality of the proposed ES platform. The obtained results from the illustrative example, the construction procedure of value expansion and value prediction can be effectively represented in this study. Restated, it can be taken as a reference study to the similar research.