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A Framework for Improving User Engagement in Social BPM

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Business Process Management Workshops (BPM 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 308))

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Abstract

Businesses are increasingly focused on becoming flexible and versatile, and are moving away from the traditional business process management approach. Social BPM supports this as it involves the interaction and collaboration of users, using social software to improve business process management. However, the success of Social BPM is dependent on the participation of users. Therefore, organisations need to ensure that users are motivated enough to participate in the use of social software for creating and maintaining process models. This paper presents a Social BPM User Engagement Framework that combines theories from psychology and computer science disciplines on user motivation and online participation in the workplace. The framework is designed in three levels – organizational, social software and task, to improve user participation in Social BPM.

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Author information

Authors and Affiliations

  1. Department of Computer Science, School of Mathematics, Computer Science and Engineering, City, University of London, London, UK

    Vanisha Gokaldas & Mohammad Ehson Rangiha

Authors
  1. Vanisha Gokaldas
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  2. Mohammad Ehson Rangiha
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Correspondence to Vanisha Gokaldas .

Editor information

Editors and Affiliations

  1. Department of Service and Information System Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain

    Ernest Teniente

  2. Humboldt-Universität zu Berlin, Berlin, Berlin, Germany

    Matthias Weidlich

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Gokaldas, V., Rangiha, M.E. (2018). A Framework for Improving User Engagement in Social BPM. In: Teniente, E., Weidlich, M. (eds) Business Process Management Workshops. BPM 2017. Lecture Notes in Business Information Processing, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-319-74030-0_30

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  • DOI: https://doi.org/10.1007/978-3-319-74030-0_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74029-4

  • Online ISBN: 978-3-319-74030-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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