Predicting the success of B2B e-commerce in small and medium enterprises: based on consistent fuzzy preference relation

Authors:
Tien-Chin Wang;Ying-Ling Lin
Affiliations:
Department of Information Management, I-Shou University, Ta-Hsu Hsiang, Kaohsiung County, Taiwan, R. O. C.;Department of Information Engineering, I-Shou University, Ta-Hsu Hsiang, Kaohsiung County, Taiwan, R. O. C.
Venue:
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Year:
2008

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Abstract

This investigation establishes an analytical hierarchy framework to help SMEs predicting implementation success as well as identifying the actions necessary before implementing B2B e-commerce to increase e-commerce initiative feasibility. The consistent fuzzy preference relation is used to improve decision making consistency and effectiveness. A case study involving six influences solicited from a Taiwanese steel company is used to illustrate the feasibility and effectiveness of the proposed approach. The analytical results show that the three most influential factors are management support, industry characteristics and government policies; meanwhile, the three least influential factors are organizational culture, IT integration and firm size.