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Generation of Stakeholder-Specific BPMN Models

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Book cover Advances in Enterprise Engineering XIII (EEWC 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 374))

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Abstract

A business process model always has a dominant perspective in the detriment of others, motivating the need of different stakeholders to look for different models of the same process. In fact, it is common to see that in different units of an organisation, such as quality, audit, risk or human resources, there are different models of the same processes, each focusing on specific aspects. Unfortunately, these models tend to lack consistency because of the effort required to keep them consistent. To tackle this problem, we are developing an approach that aims to generate stakeholder-specific models on the fly, based on some arbitrary stakeholders’ concerns. We derive the generated models from a consolidated business process model, which is previously designed, and its organisational taxonomy, thus ensuring the consistency between the generated models.

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Notes

  1. 1.

    http://www.linkconsulting.com/atlas.

  2. 2.

    https://bpmn.io.

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Acknowledgements

This research was supported by the Link Consulting’s project IT-Atlas n\(^\circ \) 11419, under the IAPMEI 2020 PO CI Operational Program.

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Authors and Affiliations

  1. University of Lisbon, Av. Rovisco Pais, 1049-001, Lisbon, Portugal

    Diogo Cardoso & Pedro Sousa

  2. Link Consulting, Av. Duque Ávila 23, 1000-123, Lisbon, Portugal

    Pedro Sousa

Authors
  1. Diogo Cardoso
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  2. Pedro Sousa
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Corresponding author

Correspondence to Diogo Cardoso .

Editor information

Editors and Affiliations

  1. University of Madeira, Funchal, Portugal

    David Aveiro

  2. Free University of Bozen-Bolzano, Bolzano, Italy

    Giancarlo Guizzardi

  3. University of Lisbon, Lisbon, Portugal

    José Borbinha

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Cardoso, D., Sousa, P. (2020). Generation of Stakeholder-Specific BPMN Models. In: Aveiro, D., Guizzardi, G., Borbinha, J. (eds) Advances in Enterprise Engineering XIII. EEWC 2019. Lecture Notes in Business Information Processing, vol 374. Springer, Cham. https://doi.org/10.1007/978-3-030-37933-9_2

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  • DOI: https://doi.org/10.1007/978-3-030-37933-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37932-2

  • Online ISBN: 978-3-030-37933-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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