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The influence of national culture on the attitude towards mobile recommender systems

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dc.contributor.authorChoi, Jaewon-
dc.contributor.authorLee, Hong Joo-
dc.contributor.authorSajjad, Farhana-
dc.contributor.authorLee, Habin-
dc.date.accessioned2021-08-11T22:44:31Z-
dc.date.available2021-08-11T22:44:31Z-
dc.date.issued2014-07-
dc.identifier.issn0040-1625-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/12055-
dc.description.abstractThis study aimed to identify factors that influence user attitudes towards mobile recommender systems and to examine how these factors interact with cultural values to affect attitudes towards this technology. Based on the theory of reasoned action, belief factors for mobile recommender systems are identified in three dimensions: functional, contextual, and social. Hypotheses explaining different impacts of cultural values on the factors affecting attitudes were also proposed. The research model was tested based on data collected in China, South Korea, and the United Kingdom. Findings indicate that functional and social factors have significant impacts on user attitudes towards mobile recommender systems. The relationships between belief factors and attitudes are moderated by two cultural values: collectivism and uncertainty avoidance. The theoretical and practical implications of applying theory of reasoned action and innovation diffusion theory to explain the adoption of new technologies in societies with different cultures are also discussed. (C) 2013 Elsevier Inc. All rights reserved.-
dc.format.extent15-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier BV-
dc.titleThe influence of national culture on the attitude towards mobile recommender systems-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1016/j.techfore.2013.08.012-
dc.identifier.scopusid2-s2.0-84901930071-
dc.identifier.wosid000338813400007-
dc.identifier.bibliographicCitationTechnological Forecasting and Social Change, v.86, pp 65 - 79-
dc.citation.titleTechnological Forecasting and Social Change-
dc.citation.volume86-
dc.citation.startPage65-
dc.citation.endPage79-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalResearchAreaPublic Administration-
dc.relation.journalWebOfScienceCategoryBusiness-
dc.relation.journalWebOfScienceCategoryRegional & Urban Planning-
dc.subject.keywordPlusINFORMATION-TECHNOLOGY-
dc.subject.keywordPlusUSER ACCEPTANCE-
dc.subject.keywordPlusINTRINSIC MOTIVATION-
dc.subject.keywordPlusPERCEIVED EASE-
dc.subject.keywordPlusDATA SERVICES-
dc.subject.keywordPlusADOPTION-
dc.subject.keywordPlusPERSONALIZATION-
dc.subject.keywordPlusCONSUMER-
dc.subject.keywordPlusPRODUCT-
dc.subject.keywordPlusCOMMERCE-
dc.subject.keywordAuthorMobile recommender system-
dc.subject.keywordAuthorTheory of reasoned action-
dc.subject.keywordAuthorUser attitude-
dc.subject.keywordAuthorCross-cultural research-
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