Towards Internal Modelling of the Information Systems Application Domain

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.

Public-Private Partnership Decision Making Based on Correlation Coefficients of Single-Valued Neutrosophic Hesitant Fuzzy Sets

“…In terms of application, we only research the application of SVNHFSs in evaluating PPP models for the high-speed rail. Similarly, we can apply the new method in some other fields, such as project management (Mohamed and Mccoan, 2001), real estate investment (Ginevicius and Zubrecovas, 2009), ecological environment management (Huang et al, 2003), information system (Gudas and Lopata, 2016;Ai et al, 2016), and supply chain management (Brandenburg et al, 2014). In some cases, some judgments may be missing due to various reasons.…”

Educational Domain Management Knowledge Content Identification and Knowledge Updating Method, Based on Enterprise Management Information Interactions

“…The interrelationship between primary and secondary business processes explored in Gudas, Lopata [43] identified a different nature of these 2 enterprise activities: secondary processes possess informational nature and are referred to as enterprise (management) Functions; while primary processes are concrete (non-informational) and are named enterprise (material) Processes. This paper presents more detailed content of Function Fi since it defines a sequence of definite types of interacting information activities directed to control Process Pj.…”

Modelling Subject Domain Causality for Learning Content Renewal

“…b) A causal knowledge consists of the essential causal dependencies, which are inherent to the subject domain according to some theory. In this approach, MT and EMC frameworks conceptualize the causal dependencies within the enterprise domain, and the theoretical underpinning presented in Gudas ( 2012), Gudas and Lopata (2016). c) The normalization of the knowledge structures is a pre-condition of content analysis and renewal: the content should be represented using the same framework (internal model of a domain).…”

“…The concepts "management functional dependency" (MFD), "management transaction" (MT), and "elementary management cycle" (EMC) were introduced for enterprise causal modelling in information systems engineering (Gudas, 2012;Gudas and Lopata, 2016). Conceptual representation of MT and EMC can be considered as transactional workflows, which associated with conceptual models is as follows: Action Workflow model (Rusinkiewicz and Sheth, 1994;Medina-Mora et al, 1992), Deming's PDCA cycle of business management (Deming, 1993), ITIL Framework (Persse, 2012), or the autonomic computing component (Kephart and Chess, 2003).…”