Modeling Consumers’ Usage Intention of Augmented Reality in Online Buying Context: Empirical Setting with Measurement Development

Abstract

Abstract The main objective of this study is to identify the factors that affect consumers’ intention to use AR for their online buying context. This study integrated three theories with additional constructs of perceived enjoyment and personal innovativeness. Data was collected through a personal-administered questionnaire from 265 respondents. In this study, PLS based Structural Equation Modeling was used to analyze the data. The study results show that all the estimated relationships were found significant and positive except the relationship between social identity and attitude, social identity and perceived usefulness, and personal innovativeness and perceived ease of use. Attitude significantly and positively mediates the association between two constructs of the Technology Acceptance Model (TAM) and behavioral intention. The findings of this study also reveal that self-efficacy significantly moderates the association between attitude and behavioral intention. This study validated a new model developed for examining the intention to use augmented reality in the online buying context. Here, a model is developed by integrating the Technology Acceptance Model (TAM), Social Identity Theory, and Self-identity Theory with additional constructs of perceived enjoyment and personal innovativeness. This study will contribute to the knowledge extension of using augmented reality in the online buying context.