Understanding consumers' purchase intention in virtual reality commerce environment

Abstract

Abstract Virtual reality (VR) has developed rapidly and drawn the attention of businesses. E‐commerce practitioners have used VR to improve business performance and satisfy consumers' needs by enhancing the shopping experience and increasing purchase intention. To explore the effects of VR shopping platforms on purchase intention, this study developed a theoretical framework on the basis of task–technology fit. The framework comprises technological characteristics and user needs (intrinsic and extrinsic motivation) and can be used to investigate perceived needs–technology fit and identify factors affecting intention to purchase on VR platforms. This study distributed an online questionnaire and received 336 responses. Analysis was performed using partial least squares structural equation modeling. The results suggested that purchase intention is stronger when perceived needs–technology fit is closer. Hedonic needs play a vital role in perceived needs–technology fit. In terms of technological characteristics, relative advantage, and service compatibility strongly affect perceived needs–technology fit. In addition, feelings of spatial presence, a key component of VR, positively affect relative advantage, service compatibility, and trialability and negatively affect complexity. The implications of the findings are also discussed.

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