Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98703
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dc.contributorCollege of Professional and Continuing Educationen_US
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorLi, CHen_US
dc.creatorChan, OLKen_US
dc.creatorChow, YTen_US
dc.creatorZhang, Xen_US
dc.creatorTong, PSen_US
dc.creatorLi, SPen_US
dc.creatorNg, HYen_US
dc.creatorKeung, KLen_US
dc.date.accessioned2023-05-10T02:04:18Z-
dc.date.available2023-05-10T02:04:18Z-
dc.identifier.urihttp://hdl.handle.net/10397/98703-
dc.language.isoenen_US
dc.publisherFrontiers Research Foundationen_US
dc.rights© 2022 Li, Chan, Chow, Zhang, Tong, Li, Ng and Keung. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rightsThe following publication Li CH, Chan OLK, Chow YT, Zhang X, Tong PS, Li SP, Ng HY and Keung KL (2022) Evaluating the Effectiveness of Digital Content Marketing Under Mixed Reality Training Platform on the Online Purchase Intention. Front. Psychol. 13:881019 is available at https://doi.org/10.3389/fpsyg.2022.881019.en_US
dc.subjectCustomer engagementen_US
dc.subjectCustomer loyaltyen_US
dc.subjectDigital content marketingen_US
dc.subjectMarketingen_US
dc.subjectMixed realityen_US
dc.subjectSocial media marketingen_US
dc.subjectStructural equation modelingen_US
dc.titleEvaluating the effectiveness of digital content marketing under mixed reality training platform on the online purchase intentionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume13en_US
dc.identifier.doi10.3389/fpsyg.2022.881019en_US
dcterms.abstractThe purpose of this research is to investigate the effectiveness of Digital Content Marketing (DCM) on a Mixed Reality (MR) training platform environment with the consideration of online purchase intention (OPI) through social media. E-commerce today encounters several common issues that cause customers to have reservations to purchase online. With the absence of physical contact points, customers often perceive more risks when making purchase decisions. Furthermore, online retailers often find it hard to engage customers and develop long-term relationships. In this research, a Structural Equation Model (SEM) is proposed to examine the efficacy of DCM from both immediate and long-term OPI. The results examine whether adopting DCM on an MR training platform environment through social media brings positive results in OPI. Empirical research was carried out through online questionnaires collected in 2021 and 2022. A total of 374 questionnaires were qualified for data analysis in this study, conducted with IBM SPSS and AMOS. The results imply that DCM is critical to stimulating both immediate and long-term OPI. The immediate OPI is positively affected by increasing perceived value through MR in DCM. Regarding the long-term OPI, increased customer engagement with DCM under MR environment can cultivate brand trust and significantly affect the long-term OPI.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers in psychology, 2022, v. 13, 881019en_US
dcterms.isPartOfFrontiers in psychologyen_US
dcterms.issued2022-
dc.identifier.isiWOS:000827097300001-
dc.identifier.scopus2-s2.0-85134207600-
dc.identifier.eissn1664-1078en_US
dc.identifier.artn881019en_US
dc.description.validate202305 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Metropolitan University; Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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