Understanding the use of Virtual Reality in Marketing: a text mining-based review

The current study intends to highlight the most relevant studies in simulated realities with special attention to VR and marketing, showing how studies have evolved over time and discussing the findings. A text-mining approach using a Bayesian statistical topic model called latent Dirichlet allocation is employed to conduct a comprehensive analysis of 150 articles from 115 journals, all indexed in Web of Science. The findings reveal seven relevant topics, as well as the number of articles published over time, the authors most cited in VR papers and the leading journals in each topic. The article also provides theoretical and practical implications and suggestions for further research.info:eu-repo/semantics/acceptedVersio

Virtual reality through the customer journey: framework and propositions

While virtual reality’s importance is increasingly recognized in marketing, its role in the customer journey remains nebulous. We define virtual reality through the customer journey (VRCJ) as firms’ use of computer-mediated interactive environments capable of offering sensory feedback to engage consumers, strengthen consumer/brand relationships, and drive desired consumer behaviors at any stage of their journey. To better understand VRCJ, we classify VR archetypes, formats, and content features, followed by the development of a conceptual framework and an associated set of propositions of VRCJ. We conclude by discussing important theoretical and practical implications that arise from our analyses

Investigating Visitors’ Behavioural Response to Virtual Reality (VR) Retail Environments

This thesis aimed to explore the influence of Virtual Reality (VR) retail environment cues on visitors’ behavioural intentions in the context of urban shopping destinations. The Stimulus-Organism-Response (S-O-R) theory (Mehrabian and Russell, 1974) were employed as a theoretical foundation given that many researchers have provided substantial evidence on its suitability as a theoretical framework to investigate the effects of various physical and virtual (online/mobile) retail environment cues on human behaviour through the mediating variables of affective and cognitive states. The first step to achieving the aim was to determine the current state of knowledge surrounding this topic. Therefore, relevant literature over four key topic areas was critically reviewed including 1) urban place marketing, particularly within the broader context of urban tourism, 2) retail store environment literature extending to electronic and mobile commerce research, 3) immersive technology, and 4) technology adoption (Objective 1). Then, primary data were collected in two research phases. Research Phase 1 entailed two sets of semi-structured interviews. First, a contrasting case-based approach was employed, and interviews were conducted with seven urban place marketers from three urban place marketing organisations in four urban shopping destinations in the UK (Objective 2). The findings provided initial insights into urban place marketers’ views on the perceived barriers, benefits, internal organisational capability and external pressures associated with immersive technology (VR and Augmented Reality) implementation and their overall intention to adopt these innovative technologies for city marketing. This data was analysed using thematic analysis and four themes and eleven sub-themes emerged including three new context-specific sub-themes (technology access, organisational readiness and industry readiness). Based on these findings, twelve semi-structured interviews with visitors to Manchester City Centre were gathered and aimed to draw out context-specific themes and sub-themes. This data was also analysed using thematic analysis and overall, three themes and thirteen sub-themes emerged including four new sub-themes (virtual aesthetics, virtual atmospherics, social presence and layout design) under the main theme of VR retail environment cues. Accordingly, ten hypotheses were proposed and informed the development of a qualitative VR Visitor Behaviour Model based on S-O-R theory. The aim of Research Phase 2 was to validate the proposed model (Objective 3). To achieve this, survey data were gathered from 150 potential visitors to urban shopping destinations and the data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) (Objective 3). From these findings, a final VR Visitor Behaviour S-O-R Model was proposed, which is the main contribution of this study (Objective 4). The thesis concludes by outlining the theoretical contributions of this research and providing guidance to urban place marketers and VR developers and designers. Finally, avenues for further research based on the identified study limitations are offered