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A Proposal to Model Knowledge Dimension in Sensitive Business Processes

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Intelligent Systems Design and Applications (ISDA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 557))

Abstract

Knowledge development in organizations relies on Sensitive Business Processes (SBPs), which are characterized by a high complexity and dynamism in their execution, high number of critical activities with intensive acquisition, sharing, storage and (re)use of very specific crucial knowledge, diversity of knowledge sources, and high degree of collaboration among experts. In this paper, we propose a semantically rich conceptualization for describing a SBP organized in a new Business Process Meta-model for Knowledge Identification (BPM4KI), in order to develop a rich and expressive graphical representation of SBPs to identify and localize the crucial knowledge. BPM4KI covers all aspects of business process modeling: the functional, organizational, behavioral, informational, intentional and knowledge perspectives. We focus more specifically on Knowledge Perspective which has not yet evolved into BP models. This perspective is semantically rich and well founded is on the «core» domain ontologies. Besides, we evaluate the relevance of some proposed concepts through a real SBP scenario from medical domain in the context of the organization of protection of the motor disabled people of Sfax-Tunisia.

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Notes

  1. 1.

    The first facet of knowledge capitalization process [1] concerns problems bound to the identification and localization of crucial knowledge, that is knowledge (explicit knowledge) and knowhow (tacit knowledge) which are necessary for decision-making processes and for the progress of the essential processes which constitute the heart of the activities of the company: it is necessary to identify them, to localize them, to characterize them, to make cartographies of them, to estimate their economic value and to organize them into a hierarchy.

  2. 2.

    With respect to our notation, the informal labels on BPM4KI concepts appear in the text in the Courrier new font with First Capital Letters for the concepts and a javaLikeNotation for relations.

  3. 3.

    http://home.mis.u-picardie.fr/~site-ic/site/spip.php?article53.

  4. 4.

    Socialization converts tacit knowledge of a person into tacit knowledge of another person. This may succeed by exchange of experience or in a learning-by-doing situation. Explicitation is the internal process of a person, to make internal knowledge of the latent or conscious type explicit, e.g., by articulation and formulation (in the conscious case) or by using metaphors, analogies and models (in the latent case). Externalization converts from explicit knowledge to external knowledge or information and leads to detached knowledge as seen from the perspective of the human being, which can be kept in organizational memory systems. Internalization converts either external or explicit knowledge into internal knowledge of the conscious or latent types. It leads to an integration of experiences and competences in your own mental model. Finally, combination combines existing explicit or external knowledge in new forms.

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Authors and Affiliations

  1. ISIMS, MIRACL Laboratory, University of Sfax, P.O. Box 242, 3021, Sfax, Tunisia

    Mariam Ben Hassen, Mohamed Turki & Faïez Gargouri

Authors
  1. Mariam Ben Hassen
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  2. Mohamed Turki
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  3. Faïez Gargouri
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Correspondence to Mariam Ben Hassen .

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Editors and Affiliations

  1. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  3. Polytechnic Institute of Porto, Felgueiras, Portugal

    Dorabela Gamboa

  4. Campus of Gualtar, University of Minho, Braga, Portugal

    Paulo Novais

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Ben Hassen, M., Turki, M., Gargouri, F. (2017). A Proposal to Model Knowledge Dimension in Sensitive Business Processes. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_100

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  • DOI: https://doi.org/10.1007/978-3-319-53480-0_100

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