Mining the Adoption Intention of Location-Based Services Based on Dominance-Based Rough Set Approaches

Faced with the excessive opportunity, mobile service providers have unconstrained a variability of services, such as mobile instant messaging, mobile shopping and location-based services (LBS). Location-based service is a social media tool that allows users to write short text messages to public and private networks. This research focuses specifically on the mobile services on LBS. The main purposes of this study are to investigate and compare what recommendation sources influence the intention to use LBS and to combine gender, daily internet hour usage and past use experience to infer the usage of LBSs decision rules using a dominace-based rough-set approach. Data for this study were collected from 398 users and potential users. The analysis is grounded in the taxonomy of induction-related activities using a domiance-based rough set approach to infer the usage of LBSs decision rules. Finally, the study of the nature of LBS reflects essential practical and academic value.