Examining augmented reality adoption by consumers with highlights on gender and educational-level differences

Abstract

Purpose This study aims to explore the factors that could affect consumers’ adoption of augmented reality (AR) and investigate the interaction between gender and educational level on intention to adopt AR in developing countries as demonstrated here by Saudi Arabia. Design/methodology/approach The examined constructs were developed by integrating factors from the unified theory of acceptance and the use of technology (UTAUT2), including performance expectancy, expectancy effort, social influence, facilitating conditions, hedonic motivation and habit. Price value was eliminated and innovativeness was added to the examined constructs. Data were collected from 673 Saudi consumers through an online survey by implementing a convenience sampling. Furthermore, the effect of gender and education level on behavioral intention to adopt AR by consumers was examined. Findings The results of the regression analysis showed that the independent variables statistically significantly predict the consumers’ behavioral intention toward AR adoption with all the examined constructs. The proposed model was able to explain 84% of the variance of behavioral intention. Furthermore, there was a statistically significant interaction between the effects of gender and educational level on intention to adopt AR. Practical implications This study will clarify the relatively low diffusion rate of AR adoption in Saudi Arabia, which will help business owners and marketers to develop the right strategies, especially strategies that are associated to marketing and developing mobile applications by incorporating AR technologies, which will attract the attention of many users. Originality/value This is one of the few studies that has explored the intention to adopt AR by consumers by examining the UTAUT2 constructs in the Middle Eastern cultural contexts, in contrast to previous studies, specifically Saudi Arabia. This study further investigated the interaction between the effects of gender and educational level on intention to adopt AR.