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dc.contributor.authorSharma, Piyush
dc.contributor.authorUeno, Akiko
dc.contributor.authorDennis, Charles
dc.contributor.authorTuran, Ceyda Paydas
dc.date.accessioned2023-08-10T02:32:25Z
dc.date.available2023-08-10T02:32:25Z
dc.date.issued2023
dc.identifier.citationSharma, P. and Ueno, A. and Dennis, C. and Turan, C.P. 2023. Emerging digital technologies and consumer decision-making in retail sector: Towards an integrative conceptual framework. Computers in Human Behavior. 148: 107913.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/92901
dc.identifier.doi10.1016/j.chb.2023.107913
dc.description.abstract

This paper explores the influence of digital technologies on the consumer decision-making in retail sector with two online survey-based studies. Study 1 identifies unique attributes of six digital technologies, including two current (Internet and Mobile Platform) and four emerging (Artificial Intelligence, Augmented, Mixed and Virtual Reality) technologies. Study two focuses on older consumers to understand their decision-making process when shopping for products or services using new digital technologies. We extend the AISAS (Awareness, Interest, Search, Action, and Sharing) model to show that with digital technologies, consumer decision journey is no longer linear. For example, attention can lead directly to action, without going through the interest or search stages. Similarly, purchase can lead to sharing that may lead to loyalty and psychological engagement, and reinforce attention. We found no significant difference in these effects between older and younger consumers. Besides providing useful insights about consumer decision-making process with emerging digital technologies for future academic researchers, these results also give useful ideas to marketing practitioners interested in introducing these emerging technologies to deliver superior value to their customers.

dc.publisherElsevier
dc.titleEmerging digital technologies and consumer decision-making in retail sector: Towards an integrative conceptual framework
dc.typeJournal Article
dcterms.source.volume148
dcterms.source.issn0747-5632
dcterms.source.titleComputers in Human Behavior
dc.date.updated2023-08-10T02:32:24Z
curtin.departmentSchool of Management and Marketing
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Business and Law
curtin.contributor.orcidSharma, Piyush [0000-0002-6953-3652]
curtin.contributor.researcheridSharma, Piyush [D-3562-2012]
curtin.identifier.article-number107913
curtin.contributor.scopusauthoridSharma, Piyush [26434453900]
curtin.repositoryagreementV3
dc.date.embargoEnd2025-08-09


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