Online serendipity: A contextual differentiation of antecedents and outcomes

Critics 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 pr...

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Veröffentlicht in:Journal of the American Society for Information Science and Technology 2017-07, Vol.68 (7), p.1698-1710
Hauptverfasser: Lutz, Christoph, Pieter Hoffmann, Christian, Meckel, Miriam
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creator Lutz, Christoph
Pieter Hoffmann, Christian
Meckel, Miriam
description Critics 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.
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subjects Algorithms
Antecedents
Differentiation
Electronic commerce
Filtration
Information services
Internet
Modelling
Serendipity
Social networks
User satisfaction
title Online serendipity: A contextual differentiation of antecedents and outcomes
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