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Towards a Framework for Socially Influencing Systems: Meta-analysis of Four PLS-SEM Based Studies

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Persuasive Technology (PERSUASIVE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9072))

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Abstract

People continuously experience various types of engagement through social media, mobile interaction, location-based applications, and other technologically advanced environments. Often, integral parts of such socio-technical contexts often are information systems designed to change behaviors and attitudes of their users by leveraging powers of social influence, further defined as socially influencing systems (SIS). Drawing upon socio-psychological theories, this paper initially reviews and presents a typology of relevant social influence aspects. Following that, it analyzes four partial least squares structural equation modeling (PLS-SEM) based empirical studies to examine the interconnectedness of their social influence aspects. As a result, the analysis provides grounds for seminal steps towards the development and advancement of a framework for designing and evaluating socially influencing systems. The main findings can also deepen understanding of how to effectively harness social influence for enhanced user engagement in socio-technical environments and guide persuasive engineering of future socially influencing systems.

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Authors and Affiliations

  1. MIT Media Lab, Cambridge, MA, USA

    Agnis Stibe

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  1. Agnis Stibe
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Correspondence to Agnis Stibe .

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Editors and Affiliations

  1. IIT Institute of Design, Chicago, USA

    Thomas MacTavish

  2. IIT Institute of Design, Chicago, USA

    Santosh Basapur

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Stibe, A. (2015). Towards a Framework for Socially Influencing Systems: Meta-analysis of Four PLS-SEM Based Studies. In: MacTavish, T., Basapur, S. (eds) Persuasive Technology. PERSUASIVE 2015. Lecture Notes in Computer Science(), vol 9072. Springer, Cham. https://doi.org/10.1007/978-3-319-20306-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-20306-5_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20305-8

  • Online ISBN: 978-3-319-20306-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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