Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7845
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dc.contributor.authorProf. LAU Kung Wong, Nicken_US
dc.contributor.authorLee, Pui Yuenen_US
dc.date.accessioned2023-05-22T09:31:41Z-
dc.date.available2023-05-22T09:31:41Z-
dc.date.issued2019-
dc.identifier.citationVirtual reality : the journal of the Virtual Reality Society, 2019, Vol.23 (3), p.255-268en_US
dc.identifier.issn1359-4338-
dc.identifier.issn1434-9957-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7845-
dc.description.abstractThe popularity of home-based stereoscopic television provides researchers and practitioners with possibilities of bringing stereoscopic virtual reality (StereoVR) at consumers’ home. To further the investigation on the potential development of applying StereoVR in retailing, this research focuses on understanding consumers’ shopping experiences in this new platform. The research team believes that the use of StereoVR has potentials to become a new arena for interactive business. To explore these potential uses of technology in retailing, the team designed and built a StereoVR, called “FutureShop,” for implementing a virtual fashion retailing practices as well as collecting consumers’ responses for further development. Participants are asked to complete a shopping process from product selection to purchase in FutureShop. The factors examined in this research included the consumers’ purchase intention, interactive shopping and hedonic shopping experience. The findings and implications suggest that the StereoVR can make a significant contribution in creating more interactive experiences for apparel retailing by enhancing consumers’ hedonic shopping experiences in the StereoVR.en_US
dc.language.isoenen_US
dc.publisherLondon: Springer Londonen_US
dc.relation.ispartofVirtual reality : the journal of the Virtual Reality Societyen_US
dc.titleShopping in Virtual Reality: A Study on Consumers’ Shopping Experience in a Stereoscopic Virtual Realityen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1007/s10055-018-0362-3-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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