The evaluation factors of adopting SoLoMo services: the hybrid fuzzy MCDM approach

Abstract

SoLoMo services are emerging mobile services, which combine different software and hardware techniques, enabling users to obtain location-based information at any time and place as well as exchange, interact, and communicate messages with other people in real time. Since SoLoMo services contain two types of the most widely used mobile applications, different users might have different needs for and expectations on these services. This study proposed a three-stage hybrid fuzzy multicriteria decision-making (MCDM) model and applied fuzzy analytic network process (FANP) and the decision-making trial and evaluation laboratory (DEMATEL) to analyze, from an angle of integral SoLoMo services, the critical factors evaluated by users in adopting SoLoMo services. In addition, this study also discussed how the users make their choices after they have weighed between the privacy consideration and the use of complete SoLoMo services. The analysis results reported that popularity degree of service, information accuracy of service, privacy risk, maintaining affection and friendship with others, and location-based store information search are the top five ones among these critical positive and negative factors considered by users while adopting SoLoMo services. Furthermore, the analysis indicated that for achieving information accuracy of service, location-based store information search, and maintaining affection and friendship with others, SoLoMo service users would tolerate more privacy risk.