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dc.contributor.authorLutz, Christoph
dc.contributor.authorHoffmann, Christian Pieter
dc.contributor.authorMeckel, Miriam
dc.date.accessioned2017-08-11T08:14:14Z
dc.date.available2017-08-11T08:14:14Z
dc.date.issued2017
dc.identifier.citationJournal of the Association for Information Science and Technology, 2017, 68(7), 1698-1710nb_NO
dc.identifier.issn2330-1635
dc.identifier.issn2330-1643
dc.identifier.urihttp://hdl.handle.net/11250/2450497
dc.descriptionThe accepted and peer reviewed manuscript to the articlenb_NO
dc.description.abstractCritics worry that algorithmic filtering could lead to overly polished, homogeneous web experiences. “Serendipity,” in turn, has been touted as an antidote. Yet, the desirability of serendipity could vary by context, as users may be more or less receptive depending on the services they employ. We propose a nomological model of online serendipity experiences, conceptualizing both cognitive and behavioral antecedents. Based on a survey of 1,173 German Internet users, we conduct structural equation modeling and multigroup analyses to differentiate the antecedents and effects of serendipity across three distinct contexts: online shopping, information services, and social networking sites. Our findings confirm that antecedents and outcomes of digital serendipity vary by context, with serendipity only being associated with user satisfaction in the context of social network sites.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleOnline serendipity: A contextual differentiation of antecedents and outcomesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalJournal of the Association for Information Science and Technologynb_NO
dc.identifier.doihttp://dx.doi.org/ 10.1002/asi.23771
dc.description.localcode2, Forfatterversjonnb_NO


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