Abstract
Currently, modern organizations are characterized by collaborative, highly dynamic, complex and highly intensive knowledge processes. They are all the more aware of the need to effectively identify, preserve, share and use the knowledge mobilized by their business processes. Thus, in order to improve their performance, business process modeling has become a primary concern for any organization in order to improve the management of its individual and collective knowledge assets. This paper proposes a new meta-model of sensitive business processes modeling for knowledge management, called BPM4KI (Business Process Meta-Model for Knowledge Identification) based on COOP, a core ontology of organization’s processes. The aim of this meta-model is to help identify and localize the crucial knowledge that is mobilized and created by these processes. Moreover, it has been illustrated through applying it to a medical process in the context of the organization of protection of the motor disabled people of Sfax-Tunisia (ASHMS).
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- 1.
According to [8] “A sensitive process is a process, which represents the important issues which are collectively acknowledged: weakness of the process which risks not attaining its objectives, obstacles to overcome; difficult challenge to take in charge; produced goods or services which are strategic in regard to the organization’s orientations”
- 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. The same conventions apply for the COOP ontology [11] presented in the paper.
References
Gronau, N., Korf, R., Müller, C.: KMDL-capturing, analyzing and improving knowledge- intensive business processes. J. Univ. Comput. Sci. 11, 452–472 (2005)
Heisig, P.: The GPO-WM® method for the integration of knowledge management into business processes. In: International Conference on Knowledge Management, Graz, Austria, pp. 331–337 (2006)
Zhaoli, Z., Zongkai, Y.: Modeling knowledge flow using Petri net. In: IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, China, pp. 142–146 (2008)
Papavassiliou, G., Mentzas, G.: Knowledge modelling in weakly-structured business processes. J. Knowl. Manag. 7(2), 18–33 (2003)
Supulniece, I., Businska, L., Kirikova, M.: Towards extending BPMN with the knowledge dimension. In: Bider, I., Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Ukor, R. (eds.) BPMDS 2010 and EMMSAD 2010. LNBIP, vol. 50, pp. 69–81. Springer, Heidelberg (2010)
Businska, L., Supulniece, I., Kirikova, M.: On data, information, and knowledge representation in business process models. In: The 20th International Conference on Information Systems Development (ISD 2011), pp. 24–26. Springer, Edinburgh, Scotland (2011)
Netto, J.M., Franca, J.B.S., Baião, F.A., Santoro, F.M.: A notation for knowledge-intensive processes. In: IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013), vol. 1, pp. 1–6 (2013)
Grundstein, M.: From capitalizing on company knowledge to knowledge management. In: Morey, D., Maybury, M. (eds.) Knowledge Management, Classic and Contemporary Works, Chapter 12, pp. 261–287. The MIT Press, Cambridge (2000)
Saad, I., Grundstein, M., SABROUX, C.: Une méthode d’aide à l’identification des connaissances cruciales pour l’entreprise. Revue SIM, vol 14, N° 3 (2009)
Turki, M., Saad, I., Gargouri, F., Kassel, G.: A business process evaluation methodology for knowledge management based on multi-criteria decision making approach. In: Saad, I., Sabroux, C.R., Gargouri, F. (eds.) Information systems for knowledge management. Wiley-ISTE, Chichester (2014a). ISBN 978-1-84821-664-8
Turki, M., Kassel, G., Saad, I., Gargouri, F.: COOP: a core ontology of organization’s processes for group decision making. J. Decis. Syst. 23(1), 55–68 (2014)
Turki, M., Saad, I., Gargouri, F., Kassel, G.: Towards identifying sensitive processes for knowledge localization. In: International Conference on Collaboration Technologies and Systems (CTS 2011), pp. 224–232 (2011)
Nonaka, I., Takeuchi, H.: Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, New York (1995)
List, B., Korherr, B.: An evaluation of conceptual business process modelling languages. In: ACM Symposium on Applied Computing (SAC 2006). ACM Press, France (2006)
OMG: unified modeling language (UML), version 2.0 (2011a). http://www.uml.org/
Schlenoff, C., Gruninger, M., Tissot, F., Valois, J.: The process specification language (PSL) overview and version 1.0 specification (2000). http://www.mel.nist.gov/psl/
OMG: business process modeling and notation (BPMN), version 2.0 (2011b). http://www.bpmn.org/
Nurcan, S.: A survey on the flexibility requirements related to business processes and modeling artifact. In: Proceedings of the 41st Hawaii International Conference on System Sciences, IEE, Hawaii, USA, p. 378, 7–10 Jan 2008
Kassel, G., Turki, M., Saad, I., Gargouri, F.: From collective actions to actions of organizations: an ontological analysis. In: Symposium Understanding and Modelling Collective Phenomena (UMoCop), University of Birmingham, Birmingham, England (2012)
The IDS-Scheer website (2013). http://www.ids-scheer.com/
Ghrab, S., Saad, I., Kassel, G., Gargouri, F.: An ontological framework for improving the model of contribution degree of knowledge. In: International Conference on Knowledge Management, Information and Knowledge Systems (KMIKS 2015), Tunisia, pp. 45–58 (2015)
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Ben Hassen, M., Turki, M., Gargouri, F. (2015). Sensitive Business Process Modeling for Knowledge Management. In: Chen, Q., Hameurlain, A., Toumani, F., Wagner, R., Decker, H. (eds) Database and Expert Systems Applications. Globe DEXA 2015 2015. Lecture Notes in Computer Science(), vol 9262. Springer, Cham. https://doi.org/10.1007/978-3-319-22852-5_4
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