| Summary: | 碩士 === 國立成功大學 === 工業與資訊管理學系碩博士班 === 95 === Now the market of gasoline retail is so competitive, how to manage customers' relations and increase customers'satisfication and royalty have become the most important issues. In other words, the gasoline stations need to build the diversified services system to improve management effects and the quality of services and to satisfy customers' needs. The diversification and business alliance in the gasoline stations include: (a) relating to the drivers--selling freeway passes and goods ; (b) relating to the vehicles--car washing, oil change; (c) relating to the community-- renting billboards, managing convenient stores and coffee shops.
This research is based on the analysis of the diversified services systems in the gasoline stations. However the size of samples is limited, this research uses mega-trend-diffusion technique, which is special for the small sample. This technique, which increases virtual samples and uses Artificial Neural Networks, helps the predictive models more to be accurate. The predictive models of diversified service-management effects will help the various types of gasoline stations to decrease risk of investment, discover lots of problems and offer appropriate suggestions.
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