Smart mobile tourism app featuring augmented reality and big data analytics: an empirical analysis using UTAUT2 and PCT models

Abstract

Purpose Considering the limited understanding of determinants influencing the adoption of smart mobile tourism app (SMTA) featuring augmented reality (AR) and big data analytics (BDA), privacy concern (PC) and the risk of privacy information disclosure (PI) have threatened SMTA adoption. This study aims to propose an expanded consumer acceptance and use of information technology (UTAUT2) model by including new contextual components, integrated with privacy calculus theory (PCT) model to examine the determinants influencing behavioural intention (BI) to use SMTA. Design/methodology/approach Personal innovativeness (IN) and privacy information disclosure (PI) are incorporated in UTAUT2 model to determine its effect on SMTA featuring AR and BDA technologies from smart perspective. Both privacy concern (PC) and privacy risk (PR) derived from PCT model are also included to determine its influences on an individual's willingness to disclose privacy information for better-personalised services. We collected responses from 392 targeted participants, resulting in a strong response rate of 84.66%. These responses were analysed statistically using structural equation modeling in both SPSS 22.0 and SmartPLS 3.0. Findings Findings showed that personal innovativeness (IN), habit (HT) and performance expectancy (PE) significantly affect behavioural intention (BI) while privacy concern (PC) significantly affect privacy information disclosure (PI) to use SMTA. In contrast, effort expectancy (EE), hedonic motivation (HM) and privacy information disclosure (PI) had no significant effects on behavioural intention (BI) while privacy risk (PR) had no significant effects on privacy information disclosure (PI) to use SMTA. Originality/value The study findings help tourism practitioners in better comprehending recent trends of SMTA adoption for establishing targeted marketing strategies on apps to improve service quality. In addition, it enables app development companies acquire app users’ preferences to enhance their app development for leading app usage.

An Innovative Mobile Application for Wellness Tourism Destination Competitiveness Assessment: The Research and Development Approach

“…They found that user acknowledgement of technology readiness had a positive correlation with innovation adoption levels when using mobile applications. Similarly, Aydin [45] reported that privacy risk concerns had a negative correlation with innovation adoption level for using the mobile application, while Sembiring et al [46] indicated that many users accepted the innovation adoption of mobile payment technologies, especially the smart mobile tourism app [47], as novel technology.…”

“…Thus, the target user sample group had a high level of acceptance of the innovative mobile application system. Sia et al [47] found that performance expectancy had a positive effect on behavioral intention to use the smart mobile tourism app, while Ferreira et al [48] indicated that perceived ease of use had a positive impact on perceived usefulness, while perceived usefulness had a positive impact on tourists' intentions to use mobile ticketing solutions. Lei et al [49] demonstrated that perceived personalization positively influenced the intention to adopt mobile travel advice, while Choi et al [50] showed that trust had a positive effect on the intention for continued use of travel apps.…”