User Adoption of Location-Based Service

Abstract

Location-Based Service (LBS) is an innovative mobile service emerged as the result of the popularity of mobile devices and wireless technology. Different LBS applications (abbreviated as “Apps”) might have their own merits and demerits, and provide users with different operation interfaces and localbased functions. This study used Fuzzy Analytic Hierarchy Process (FAHP) to find the key factors that users would consider while adopting the LBS Apps. The results indicated that users would pay more attention to the location-based information acquisition functions, such as “providing good money-saving opportunities” and “obtaining location-based information”, as well as the “decision convenience”. Furthermore, users also consider the “information accuracy” of the location-based information provided by the LBS Apps as very important. However, “privacy risk” is a trade-off factor that comes together with the requirement of information accuracy. The findings of research result are useful to LBS providers in developing the LBS Apps, and also useful to LBS users in evaluating which LBS Apps are more appropriate for them to adopt.