| Summary: | 博士 === 義守大學 === 資訊工程學系博士班 === 97 === Since implementing B2B e-commerce in small and medium enterprises (SMEs) is a long-term commitment, and such enterprises have fewer resources than large enterprises, the measured d value of successful implementation is extremely valuable in deciding whether to start B2B e-commerce.
The main objective of this investigation is to propose an analytic hierarchy evaluation model based on the consistent fuzzy preference relations helping organizations become aware of the essential factors influencing the success of Electronic Commerce (EC), measuring the possibility of successful EC project, as well as identifying the appropriate policies before initiating EC in SMEs. Pairwise comparisons are utilized to obtain the priority weights of influential factors and the priority ratings of two possible outcomes (success/failure). Subjectivity and vagueness within the evaluating process are handled with linguistic variables measured in a scale of . By multiplying the priority weights of influential factors and the priority ratings of possible outcomes, measured success/failure values are derived to allow organizations to decide whether to initiate EC, prevent adoption or take remedial actions to improve the likelihood of a successful EC project. The feasibility and effectiveness of the proposed approach is illustrated using a case study involving six factors solicited from a Taiwanese steel company. Analytical results demonstrate that the three most influential factors are management support, industry characteristics and government policies, while the three least influential factors are organizational culture, IT integration and firm size.
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