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International Conference on Green, Pervasive, and Cloud Computing

GPC 2017: Green, Pervasive, and Cloud Computing pp 656–671Cite as

Social Computing: New Pervasive Computing Paradigm to Enhance Triple Bottom Line

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10232))

Abstract

Recent technological advancements such as cloud computing, broadband connectivity, two-way communication enabled by web 2.0, and frontend devices as smartphones has enabled a new pervasive computing paradigm termed Social Computing. In this paper we have derived a Structural Model, Multistage Causal Model and an Overall Interaction and Information Flow Model to understand how Social Computing paradigm can enhance the triple bottom line. The key to success of new business models known as peer economies, sharing economies, market economies or knowledge economies is the ability to establish trust amongst online users as well as online users and the system. The trust is a characteristic that emerges within a user based on previous experience with other users and the system. Trust is also transitive. The Multistage Causal Model showed us a way to generate this trust via a series of interactions and exploiting the transitive property by aggregating the individual experiences. The structural model showed us the essential structural elements of a Social Computing application required to support the behaviour depicted by Multistage Causality Model. Overall Interaction and Information Flow Model showed us by providing information in a systematic way how user interactions can be facilitated and by captured user interactions further information can be generated towards building the trust. When user reaches a sufficient level of trust to offset perceived risks associated when dealing with a stranger, business transactions take place to enhance the triple bottom line. This deeper understanding will enable businesses to design a successful Social Computing application to fulfil a specific need.

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Authors and Affiliations

  1. School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, New South Wales, 2751, Australia

    Marie D. Fernando, Athula Ginige & Ana Hol

Authors
  1. Marie D. Fernando
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  2. Athula Ginige
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  3. Ana Hol
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Corresponding author

Correspondence to Marie D. Fernando .

Editor information

Editors and Affiliations

  1. Hong Kong Polytechnic University, Hong Kong, Hong Kong

    Man Ho Allen Au

  2. University of Salerno, Fisciano, Italy

    Arcangelo Castiglione

  3. University of Texas at San Antonio, San Antonio, Texas, USA

    Kim-Kwang Raymond Choo

  4. University of Salerno, Fisciano, Italy

    Francesco Palmieri

  5. Providence University, Taichung City, Taiwan

    Kuan-Ching Li

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Fernando, M.D., Ginige, A., Hol, A. (2017). Social Computing: New Pervasive Computing Paradigm to Enhance Triple Bottom Line. In: Au, M., Castiglione, A., Choo, KK., Palmieri, F., Li, KC. (eds) Green, Pervasive, and Cloud Computing. GPC 2017. Lecture Notes in Computer Science(), vol 10232. Springer, Cham. https://doi.org/10.1007/978-3-319-57186-7_47

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  • DOI: https://doi.org/10.1007/978-3-319-57186-7_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57185-0

  • Online ISBN: 978-3-319-57186-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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