An Applied Mathematical Model for Business Transformation and Enterprise Architecture: The Resources Management System Proof of Concept (RMSPoC)

An Applied Mathematical Model for Business Transformation and Enterprise Architecture: The Resources Management System Proof of Concept (RMSPoC)

Copyright: © 2020 |Pages: 37
DOI: 10.4018/978-1-7998-1009-4.ch015
(Individual Chapters)
No Current Special Offers


The RMSPoC supports business transformation projects (BTP) and enterprise architecture projects (EAP) (or simply projects). This chapter is supported mainly by an adapted fictitious case from the insurance domain. The uniqueness and market lead of the authors' proposed HMM promotes a holistic cohesive enterprise architecture and implementation model that supports complex projects integrations using PoC, in this case the RMSPoC. The intelligent resources management system (RMS), which is described in a separate chapter, and decision-making system (DMS) are used in day-to-day business and technology problem solving. In this chapter, the proposed solutions (or cluster's model) are supported by a real-life case of a project methodology in the domain of resources management that in turn is based on the alignment of various business and technology standards and avant-garde methodologies.
Chapter Preview


This chapter on resource management systems is the last chapter of a cluster of research chapters on resources management, this one is about the Proof of Concept (PoC). The research cluster as a model that can be used in the context of various types of business, resources management, financial and technical transformation projects, is a conclusion of many years of research, architecture, consulting and development efforts, based on a Holistic Mathematical Model or an Applied Holistic Mathematical Model for Business Transformation (that in the authors’ previous articles were labelled as HMM and AHMM4BT, respectively; these terms can be encountered in some of the authors’ related research works). The HMM can be instantiated and then used as a basic and static structure of transformation, reengineering and Enterprise Architecture (EA) projects. Resource management, transformation and EA projects, where the immense influence of Artificial Intelligence (AI) and information technology is a fact, can be designed and managed using Critical Success Factors (CSF) subsystem (Trad & Kalpić, 2018a, 2018b). In this chapter, the CSFs are selected and tuned to optimize the target organization’s resource/wealth creation/management and integration (Putri & Yusof, 2009) in the form of an applied pattern that is also a part, or a chapter in this research cluster (Trad & Kalpić, 2019e). This cluster’s chapter that is related to the feasibility prototype, presents the Resources Management System Proof of Concept (RMSPoC) that should (or shouldn’t) prove whether transformation projects can optimize resources creation and or management in a transformed enterprise system.

Key Terms in this Chapter

DMS: Decision-making system.

iRMS: Intelligent resources management system.

ML: Mathematical language.

KM: Knowledge management.

EA: Enterprise architecture.

AHMM4BT: Applied holistic mathematical model for business transformation.

CSA: Critical success area.

HKMS: Holistic knowledge-management system.

Manager: Business transformation manager.

TKM&F: Trad Kalpic methodology and framework.

EAP: Enterprise architecture projects.

SOA: Service-oriented architecture.

RQ: Research question.

TOGAF: The Open Group’s architecture framework.

RMS: Resources management system.

ADM: Architecture development method.

CSFMS: Critical success factor management system.

ICs: Information and communication system.

ICT: Information and communication technologies.

AHMM: Applied holistic mathematical model.

MM: Mathematical model.

Project: Business transformation project.

NLP: Natural language programming.

Complete Chapter List

Search this Book: