Ming-Tsang Lu

The invention and use of mobile commerce (m-commerce) technology have progressed tremendously in recent years. In small to medium-sized enterprises (SMEs), the decision of business-to-business (b2b) mcommerce is a multi-criterion decision analysis problem which involves both qualitative and quantitative factors, and its evaluation may be based on imprecise information or uncertain data. Furthermore, there can be significant dependences or important feedbacks among different levels of criteria or alternatives. However, most conventional decision models cannot capture these complex interrelationships. In this study, we present the use of a multi-attribute decision model which combined with Decision Making Trial and Evaluation Laboratory (DEMATEL) technique DANP (DEMATEL-based ANP) and VIKOR to identification of core factors in the decision of business-to-business m-commerce in SMEs. The decision network proposed in this study provides managers or planners a generalized evaluation framework for business-to-business m-commerce technological advances and adoptions. Findings from our multicriterion decision model also have important implications for developing b2b m-commerce applications in SMEs.