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DOI: 10.14569/IJACSA.2018.090118
PDF

The Effect of Music on Shoppers’ Shopping Behaviour in Virtual Reality Retail Stores: Mediation Analysis

Author 1: Aasim Munir Dad
Author 2: Andrew Kear
Author 3: Asma Abdul Rehman
Author 4: Barry J. Davies

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 1, 2018.

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Abstract: The aim of this study is to investigate the effect of music, as an atmospheric cue of 3D virtual reality retail (VRR) stores, on shoppers’ emotions and behaviour. To complete this research, a major empirical study was conducted in Second Life (SL) which is one of the most mature virtual worlds (VWs). The effect of the music on shoppers’ emotions was experimentally tested in computer labs. Pre-test and post-test were conducted to evaluate the emotion levels before and after experiencing 3D VRR stores. Detailed mediation analysis was done with the PROCESS tool at the later stage of the analysis. This research confirmed ‘music’ as an atmospheric cue of 3D Servicescape. Results of this research determined the effect of music on shoppers’ arousal, pleasure and consequent shopping behaviour. Further, this research could not identify the direct effect of arousal on shoppers’ behaviour, however, it was a major source of inducing pleasure and increasing shoppers’ positive approach behaviour. This paper contribute to better understanding the 3D VRR store atmospheric, role of music in it, shoppers’ emotions and behaviour.

Keywords: Music; retail atmospherics; 3D virtual reality retailing; second life (SL); mediation analysis

Aasim Munir Dad, Andrew Kear, Asma Abdul Rehman and Barry J. Davies, “The Effect of Music on Shoppers’ Shopping Behaviour in Virtual Reality Retail Stores: Mediation Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 9(1), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090118

@article{Dad2018,
title = {The Effect of Music on Shoppers’ Shopping Behaviour in Virtual Reality Retail Stores: Mediation Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090118},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090118},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {1},
author = {Aasim Munir Dad and Andrew Kear and Asma Abdul Rehman and Barry J. Davies}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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