An Applied Mathematical Model for Business Transformation and Enterprise Architecture: The Resources Management System-Research Development Project (RMSRDP)

An Applied Mathematical Model for Business Transformation and Enterprise Architecture: The Resources Management System-Research Development Project (RMSRDP)

Copyright: © 2020 |Pages: 31
DOI: 10.4018/978-1-7998-1009-4.ch013
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Abstract

This chapter presents the resources management system's research and development project (RMSRDP) that explains in detail the application of the research concept where the enterprise research management (ERM)-based transformation projects are carried on to optimize enterprise resources in transformed end enterprises, the result of an innovative research and development on 1) business resources-oriented case studies, 2) ERM, 3) business transformations, 4) applied mathematical models, 5) software modelling, 6) business engineering, 7) financial analysis, 8) decision-making systems and CSFs, 9) artificial intelligence (AI), and 10) enterprise architecture. The RMSRDP is based on an authentic and proprietary research method and framework that are supported by an underlining mainly qualitative holistic reasoning model module.
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Background

An important factor in complex Projects are the roles of the Manager, EA and iRMS integrations, which should be supported by the optimal research and development framework that ought to support a Global Resource Management Strategy (GRMS) model. The GRMS model should be also capable of supporting the Project’s executives, legal control and integration in complex block-chained globalized RMS environments. To achieve these goals, resources management, technology components, cultural, financial and logistics integration strategy factors should be classified in Critical Success Areas (CSA) categories that contain CSFs that can be used to evaluate possible pitfalls and risks, to audit, assert, govern, automate, trace, monitor and control the iRMS. The Project and its RMSRDP subproject, use a set of CSFs that can be configured to manage and measure complexities in a distributed environment in local and globalized international environments. A transformed iRMS must have support of built-in automated RMSRDP controls capable of evaluating major changes and requirements. RMSRDPs involve the complete digitalization of research processes, where automation enables new intelligent evaluation models for feasibility. The RMSRDP is considered as a pioneering and unique one and actually or even unfortunately, there is no similar research frameworks, what confirms its current lead. The authors are proposing a RMSRDP that can be used for Projects in estimating the feasibility of design and maintenance phases, which come after the finalization of the implementation phase. The RMSRDP phase’s background is related to risk evaluation of Projects using CSF-based iRMS that are managed by the Trad Kalpić Methodology and Framework (TKM&F), as shown in Figure 3 (Trad & Kalpić, 2018f). CSFs are selected from various iRMS areas like resource categories, valuation, processes, technology, human skills …. and other. Dm stands for Decision making...

Figure 3.

The research framework’s concept (Trad & Kalpić, 2016a)

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In this chapter, the authors present a set of RMSRDP managerial, financial and technical recommendations that can be applied to various fields, like iRMS, Neurosciences, Knowledge Management (KM), HMM, EA, information technology management, business transformation and other engineering fields. Integrating a RMSRDP and GRMS should be a fundamental and even strategic goal for Projects and many other fields (Trad & Kalpić, 2018a; Trad & Kalpić, 2018b; Cearley, Walker & Burke, 2016).

The proposed RMSRDP usage and implementation is based on: 1) a holistic research approach, by interfacing various Project fields; 2) it uses AI, DMA and risk management engine(s); 3) manages resources; 4) applies factors and categories for research activities; and 4) it uses the TKM&F’s capabilities and its pool of patterns. The DMS, iRMS and RMSRDP are based on the authors’ Research and Development Project’s (RDP) mixed methods that in turn are based on intelligent neural networks (Trad & Kalpić, 2018a) where the RMSRDP is agnostic to any specific application, technical or business domain, as shown in Figure 4, and is based on the Architecture Development Method (ADM) (The Open Group, 2011a), but it can use any existing architecture framework.

Figure 4.

The research framework’s architecture method’s interface (The Open Group, 2011a)

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Key Terms in this Chapter

MM: Mathematical model.

ICT: Information and communication technologies.

DMS: Decision-making system.

TOGAF: The Open Group’s architecture framework.

ADM: Architecture development method.

RQ: Research question.

EA: Enterprise architecture.

EAP: Enterprise architecture projects.

CSA: Critical success area.

KM: Knowledge management.

TKM&F: Trad Kalpic methodology and framework.

RMS: Resources management system.

Projects: Transformation projects.

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