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Knowledge-intensive Process: A Research Framework

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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

Great value is now being credited to the so-called Knowledge-intensive Processes (KiP) benefiting from the advent and proliferation of social media, smart devices, real-time computing, and technologies for big data. Our research investigates the origin, formalization, and support for KiP towards what we call a Knowledge-intensive Process-Aware Information System (KiPAIS). We propose a research framework to address the following challenges, aligned with the pillars of the CBPM due to intrinsic relationships among them: (1) eliciting and discovering KiP; (2) representation and support to the implementation of KiP; (3) formal theory capable of explaining KiP; (4) measuring the performance of KiP.

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Author information

Authors and Affiliations

  1. Federal University of the State of Rio de Janeiro, Avenida Pasteur, 458, Rio de Janeiro, RJ, 22290-400, Brazil

    Flavia Maria Santoro & Fernanda Araujo Baião

Authors
  1. Flavia Maria Santoro
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  2. Fernanda Araujo Baião
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Corresponding author

Correspondence to Flavia Maria Santoro .

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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Santoro, F.M., Baião, F.A. (2018). Knowledge-intensive Process: A Research Framework. 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_36

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  • DOI: https://doi.org/10.1007/978-3-319-74030-0_36

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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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