This study demonstrates that visual quality is an emergent factor in explaining behavioral intention in online shopping, as online retail technology continues to evolve. The researchers develop, and test a model, in augmented reality (AR) and non-AR contexts, explaining the effect of aesthetic appeal of the interface of a mobile retail app and position relevance of a product in the user environment on visual quality of the app. The model explains the influence of visual and service quality on user satisfaction toward the app and the influence of user satisfaction on recommendation intention. The data were collected from 102 mobile app users who were asked to use the view-in-room features on a mobile augmented reality (MAR) app. Another group of 155 mobile app users were requested to search for a product using a typical mobile app search interface. Both groups provided their responses via an online survey. The researchers used partial least squares structural equation modeling (PLS-SEM) to analyze the collected data. Results indicate that the model has superior explanatory power when applied to an AR context. This research also provides key insights for practitioners related to improving the rate of mobile app recommendations by their customers.

NeuroIS is an emerging and promising academic field that has attracted increasing attention. The year 2017 signifies the 10 th year of existence of NeuroIS as a research field in information systems area. In this study, we conduct a systematic literature review of the NeuroIS academic research publications of last 10 years (2007-2017). As a result, we categorize the existent NeuroIS literature into 8 groups, explore the correlations among various NeuroIS concepts/ constructs, and demonstrate how the study enhances our understanding of the granulated interrelationships between pairs of NeuroIS elements. The implications of the result to the NeuroIS research community are discussed.

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