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Article type: Research Article
Authors: Gudas, Saulius1; 2; * | Lopata, Audrius2
Affiliations: [1] Institute of Mathematics and Informatics, Vilnius University, Akademijos 4, LT-2021 Vilnius, Lithuania | [2] Kaunas Faculty of Humanities, Vilnius University, Muitinės 8, LT-44280 Kaunas, Lithuania. E-mails: Saulius.Gudas@khf.vu.lt, Audrius.Lopata@khf.vu.lt
Correspondence: [*] Corresponding author.
Abstract: Model-driven IS engineering methods invoke the IS application domain modelling methods to acquire essential characteristics of organizational systems (enterprises). Business modelling for value creation is a relatively separate area, meanwhile it correlates with the IS application domain modelling methodologies and gives new insights for enhancement of enterprise modelling, business process modelling and BP management modelling approaches. The IS application domain and the business domain modelling are not isolated and could be investigated using the same paradigm of modelling. Yet there is some uncertainty in model-driven approaches towards the understanding of the enterprise management activities. A problematic consistency of modelling approaches indicate a need for a systemic analysis of IS application domain modelling concepts. The internal modelling paradigm is used for analysis of an enterprise management activity as a self-managed system, and hereby the lack of the conceptual basis for domain modelling in IS engineering is determined. This approach is aimed to reveal hidden information transactions of the business management activities. The understanding of the IS application domain as a self-managed system allowed to redefine such concepts as management transaction, management function and enterprise process. The metastructure of management transaction is defined and illustrated for business management layer and IS development layer.
Keywords: IS application domain, enterprise modelling (EM), business process modelling (BPM), business modelling (BM), internal modelling paradigm, management transaction, management function, self-managed system
Journal: Informatica, vol. 27, no. 1, pp. 1-29, 2016
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