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AUTHOR(S): Antoine Trad
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ABSTRACT The Applied Polymathical/Holistic Mathematical Model for Enterprise’s Modelled Evolution (AHMM4EBPM) supports Enterprise’s transformation projects (simply Project). The AHMM4EBPM is a set of interrelated Mathematical Models (MM), transformed artefacts, critical success factors (or calibration-factors), and adapted Enterprise Architecture (EA) Models (EAM). MMs, artefacts and EAMs use a standardized and holistic set of names-conventions, mapping concepts, unbundled-services, relations, to model the transformation and validity-checking of any part of the Enterprise, Project, Data-storage(s), or the Information Communication System (ICS). EAMs, pool(s) of unbundled services, relationships, and other can be exported to MMs via eXtensible Markup Language (XML) format. Exported MMs are combined to generate the AHMM4EBPM that can be used for Project’s integrity-checking, gap-analysis, financial analysis, risk-management, and many other types of strategic enterprise operations. MMs are based on DataSets (DS) that are interrelated and use a mixed-research method(s) that are supported by qualitative and quantitative research module. This module is the central reasoning engine based on the qualitative Heuristics Decision-Tree (HDT). And this article’s main objective is to support Projects [1]. |
KEYWORDS Business Processes Modelling, Polymathical mathematical models, Business and common transformation projects, Enterprise architecture, Artificial intelligence, Qualitative and quantitative research, and Critical success factors/areas |
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Cite this paper Antoine Trad. (2024) Enterprise Transformation Projects-The Applied Polymathical/Holistic Mathematical Model for Enterprise’s Business Process Modelling (AHMM4EBPM). International Journal of Computers, 9, 74-90 |
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