Publication date: May 2019
Source: Computers in Human Behavior, Volume 94
Author(s): Yoo Jung Oh, Hee Sun Park, Young Min
The current study presents Location-based application connectedness (LBS app connectedness) as an indicator of LBS application usage behavior. This paper develops and empirically cross-validates a model to explain the use of LBS apps by integrating the Technology Acceptance Model with the Innovation Resistance Model. The current study recruited a sample of 241 participants for study 1 and 202 for study 2. Results indicated that, as hypothesized, perceived usefulness was positively related to LBS app connectedness and perceived ease of use was positively related to perceived usefulness. Innovation resistance was negatively associated with LBS app connectedness. Surprisingly, perceived privacy risk displayed an unexpected positive association with perceived usefulness. A negative link between perceived usefulness and innovation resistance was newly added in the revised model. On the other hand, a path between perceived ease of use and LBS app connectedness as well as a link between perceived privacy risk and innovation resistance were excluded from the model. Theoretical and practical implications of the proposed model are further discussed, and suggestions for future research are provided.