IDEAS home Printed from https://ideas.repec.org/a/igg/jebr00/v15y2019i3p16-34.html
   My bibliography  Save this article

Towards the Meta-Modeling of Complex Inter-Organisationnel Collaborative Processes

Author

Listed:
  • Kahina Semar-Bitah

    (Centre de Développement des Technologies Avancées and Université Badji Mokhtar Annaba, Annaba, Algeria)

  • Kamel Boukhalfa

    (USTHB University, Bab Ezzouar, Algeria)

Abstract

Enterprises are progressively embedded in business to business atmospheres, in order to achieve their common business objectives. Such collaborations lead to Inter-Organizational Business Processes. Therefore, IOBP modeling involves new challenges, mainly the ability to deal with autonomy, privacy, heterogeneity. As a contribution in this area, a IOBP meta-model was designed. This model takes into account the maximum concepts related to the collaboration. Where, the process is complex, and its model in a global way affects its vision and complicates its implementation and hence the idea of its analysis into sub-IOBP to reduce the complexity of the global collaborative process, to streamline information exchange and to facilitate the understanding of the process by partners. A set of Atlas Transformation Language (ATL) transformation rules has been defined to convert Unified Modeling Language (UML) models to Business Process Model and Notation. Finally, the application of our approach has been demonstrated through a framework which can solve the problem of generic IOBP.

Suggested Citation

  • Kahina Semar-Bitah & Kamel Boukhalfa, 2019. "Towards the Meta-Modeling of Complex Inter-Organisationnel Collaborative Processes," International Journal of E-Business Research (IJEBR), IGI Global, vol. 15(3), pages 16-34, July.
  • Handle: RePEc:igg:jebr00:v:15:y:2019:i:3:p:16-34
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEBR.2019070102
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cindy-Pamela Lopez & Jose Aguilar & Marco Santorum, 2023. "Autonomous VOs management based on industry 4.0: a systematic literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1275-1291, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jebr00:v:15:y:2019:i:3:p:16-34. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.