000088467 001__ 88467
000088467 005__ 20200716101418.0
000088467 0247_ $$2doi$$a10.1108/IntR-03-2017-0135
000088467 0248_ $$2sideral$$a110665
000088467 037__ $$aART-2019-110665
000088467 041__ $$aeng
000088467 100__ $$0(orcid)0000-0001-8900-1701$$aHerrando, C.$$uUniversidad de Zaragoza
000088467 245__ $$aTell me your age and I tell you what you trust: the moderating effect of generations
000088467 260__ $$c2019
000088467 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088467 5203_ $$aPurpose: The proliferation of social commerce websites has allowed consumers to share and exchange information, experiences, advice and opinions. Recently, information provided by users has been considered more trustworthy than the information shared by companies. However, the way in which users interact with technology can vary with age, and generational cohorts show different shopping behaviors, interests and attitudes. Hence, the way users process information (user-generated vs company-generated) can affect trust differently. Drawing on the trust transfer theory and the generational cohort theory, the purpose of this paper is to analyze the effects on user- and company-generated information in boosting trust of three different cohorts (Generation X, Y and Z). Design/methodology/approach: The data were collected through an online survey. The sample comprised 715 users of social commerce websites, aged between 16 and 55 years old. The study was analyzed using partial least squares with the statistical software Smart PLS 3. Findings: The empirical results show that generational cohorts show different patterns. Generation X transfers trust to social commerce websites mainly from trust in information generated by companies, while Generation Z transfers trust mainly from information generated by users. Finally, Generation Y, in contrast to previous findings about millennials, develops trust based on company-generated information to an even greater extent than does Generation X. Originality/value: The originality of this study lies in its analysis of generational differences when it comes to trusting one type of information over another. This study contributes to the idea that users cannot be considered as a whole but must be segmented into generational cohorts.
000088467 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000088467 590__ $$a4.708$$b2019
000088467 592__ $$a1.607$$b2019
000088467 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b25 / 156 = 0.16$$c2019$$dQ1$$eT1
000088467 593__ $$aCommunication$$c2019$$dQ1
000088467 591__ $$aBUSINESS$$b33 / 152 = 0.217$$c2019$$dQ1$$eT1
000088467 593__ $$aSociology and Political Science$$c2019$$dQ1
000088467 591__ $$aTELECOMMUNICATIONS$$b15 / 90 = 0.167$$c2019$$dQ1$$eT1
000088467 593__ $$aEconomics and Econometrics$$c2019$$dQ1
000088467 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000088467 700__ $$0(orcid)0000-0001-7805-3354$$aJimenez-Martinez, J.$$uUniversidad de Zaragoza
000088467 700__ $$0(orcid)0000-0002-8491-594X$$aMartin-De Hoyos, M.J.$$uUniversidad de Zaragoza
000088467 7102_ $$14011$$2095$$aUniversidad de Zaragoza$$bDpto. Direc.Mark.Inves.Mercad.$$cÁrea Comerci.Investig.Mercados
000088467 773__ $$g29, 4 (2019), 799-817$$pInternet res.$$tInternet Research$$x1066-2243
000088467 8564_ $$s828093$$uhttps://zaguan.unizar.es/record/88467/files/texto_completo.pdf$$yPostprint
000088467 8564_ $$s304926$$uhttps://zaguan.unizar.es/record/88467/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000088467 909CO $$ooai:zaguan.unizar.es:88467$$particulos$$pdriver
000088467 951__ $$a2020-07-16-08:38:39
000088467 980__ $$aARTICLE