Business system as an equilibrium of intention and causality
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Date
2017-12-20
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Technical university of Liberec, Czech Republic
Technická Univerzita v Liberci
Technická Univerzita v Liberci
Abstract
The article is aimed to draw the attention to the essential features of the business processes and business systems in the context of their modeling. We follow the root ideas of cybernetics in order to explain the concept of intentionality and its consequences in business system modeling as well as its impact on the business process modeling methodology and language. Possible way of reflecting these ideas in the business processes modeling methodology is outlined using the example of the process meta-model and business process patterns from the MMABP methodology. Then the concept of causality in business systems is explained and relevant informatics theories and techniques for modeling the real world causality are introduced in this context. Particular attention is paid to the topic of relationships between both basic types of the business system models: intentional business process and causal ontology model. General rules and principles of the consistency of models are discussed together with their methodological consequences. Basic types of the consistency of models – completeness and correctness – are identified and also the specific topic of 'structural consistency' is introduced in this context. In the conclusions section the needed reflection of these essential features in the modeling languages and methodology is analyzed and the basic insufficiencies of the contemporary approaches to the business process modeling are pointed out together with the outline of possible ways of their overcoming. As the main challenges in the field of business process modeling methodology and languages we particularly identify the need for respecting all consequences of the fact that business process has to be always taken as a purposeful process as well as the need for implementing the self-perception of the process in order to allow it achieving the higher orders of prediction.
Description
Subject(s)
business process management, business process modeling, conceptual modeling, ontology, object dynamics, cybernetics
Citation
ISSN
1212-3607