88467 20260306152055.0 doi 10.1108/IntR-03-2017-0135 sideral 110665 ART-2019-110665 eng Herrando, C. Universidad de Zaragoza (orcid)0000-0002-2653-2473 Tell me your age and I tell you what you trust: the moderating effect of generations 2019 Access copy available to the general public Unrestricted Purpose: 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. info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.708 2019 COMPUTER SCIENCE, INFORMATION SYSTEMS 25 / 155 = 0.161 2019 Q1 T1 BUSINESS 33 / 152 = 0.217 2019 Q1 T1 TELECOMMUNICATIONS 15 / 89 = 0.169 2019 Q1 T1 1.607 2019 Economics and Econometrics 2019 Q1 Sociology and Political Science 2019 Q1 Communication 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Jimenez-Martinez, J. Universidad de Zaragoza (orcid)0000-0001-7805-3354 Martin-De Hoyos, M.J. Universidad de Zaragoza (orcid)0000-0002-8491-594X 4011 095 Universidad de Zaragoza Dpto. Direc.Mark.Inves.Mercad. Área Comerci.Investig.Mercados 29, 4 (2019), 799-817 Internet res. Internet Research 1066-2243 828093 http://zaguan.unizar.es/record/88467/files/texto_completo.pdf Postprint 304926 http://zaguan.unizar.es/record/88467/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:88467 articulos driver 2026-03-06-15:18:34 ARTICLE