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Impact of Artificial Autonomy Avatar on Consumer Acceptance of Fashion Retail Services

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dc.contributor.author Arachchi, H.A.D.M.
dc.contributor.author Samarasinghe, G.D.
dc.date.accessioned 2024-01-16T04:54:02Z
dc.date.available 2024-01-16T04:54:02Z
dc.date.issued 2023
dc.identifier.citation Arachchi H.A.D.M.; Samarasinghe G.D. (2023), Impact of Artificial Autonomy Avatar on Consumer Acceptance of Fashion Retail Services, International Research Conference on Smart Computing and Systems Engineering (SCSE 2023), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. Page 26 en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/27364
dc.description.abstract This study focused on explaining the influence of fashion retail autonomy avatar on consumers’ acceptance of fashion retail service; this study also examined the moderating impact of precision toward avatar acceptancy. Based on the extensive literature review, this study formulated five hypotheses to support the arguments. Quantitative methodology with a survey strategy was undertaken, which had an effective sample size of 278 young consumers. Furthermore, analysis was carried out using Smart partial least squares (PLS)-structural equation modelling. The study finds a significant direct relationship between the autonomy characters of avatar (sensing, thought, action) and consumer novel experience. Other than that, it also finds significant relationships between consumers’ novel experience and avatar acceptance. It was further revealed that precision toward avatar significantly moderates impact on fashion retail avatar acceptance. The findings shed the light on improving fashion retail service with avatar-based applications. en_US
dc.publisher Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka en_US
dc.subject avatar, autonomy, novel experience, avatar acceptance, precision en_US
dc.title Impact of Artificial Autonomy Avatar on Consumer Acceptance of Fashion Retail Services en_US


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