An Applied Mathematical Model for Business Transformation and Enterprise Architecture: The Resources Management Implementation Concept (RMIC)

Introduction

The RMIC is based on an authentic and proprietary research method that is supported by an underlying mainly qualitative holistic reasoning module; which is an AI/empirical process that uses a natural language environment that can be easily adapted by the project teams (Myers, Pane & Ko, 2004; Kim & Kim, 1999; Della Croce & T'kindt, 2002; Trad & Kalpić, 2017a, 2017b, 2017c, 2017d, 2019b; Gunasekare, 2015). The RMIC is implemented in a proof of concept for the feasibility of the chapter, using the HMM approach. The RMIC supports Business Transformation Projects and Enterprise Architecture Projects (EAP) (or simply Projects). This chapter and cluster are supported by an adapted fictious case from the insurance domain (Jonkers, Band & Quartel, 2012a). The uniqueness of the authors’ proposed HMM implementation, promotes a holistic cohesive architecture and implementation model that supports complex resource systems integrations (Farhoomand, 2004). The intelligent Resources Management System (iRMS) and Decision Making System (DMS) are used in a day to day business, organisational and technology problems solving. In this chapter, the proposed solutions (or cluster’s model) is supported by a real-life case of business transformation methodology in the domain of resources management that in turn is based on the alignment of various standards and avant-garde methodologies. The “i” prefix, which will be used later in this text, does not stand just for the common intelligent agile environments but for a distributed and holistic intelligent resource system’s approach that identifies this works background; and “r” will stand for resources. This research project’s main application fields are: 1) RMIC and RMS; 2) Enterprise Architecture; 3) Business Transformation Project; 4) Business Transformation Manager; 5) Applied Mathematical Model, 6) Neural Networks; 7) Holisms; 8) Risk Management; 9) Decision Making Systems; 10) Artificial Intelligence; 11) Knowledge Management Systems; and 12) Innovation. Using the scholar engine, in Google’s search portal, in which the authors combined the previously mentioned keywords and key topics; the results have shown clearly the uniqueness and the absolute lead of the authors’ methodology, research and works (Trad & Kalpić, 2019b). From this point of view and facts the authors consider their works on the mentioned topics as successful and useful; so the main topics will be introduced. HMM for Projects uses a natural language development (and simulation) environment that can be adopted by any Project, and for that goal the authors propose to use the RMIC that can be instantiated (in n instances) by an RMS, as shown in Figure 1 (Myers, Pane, & Ko, 2004; Neumann, 2002).

Figure 1.

The relation between the resource pattern and resource management system

The RMIC is (or can be) supported by a central DMS/HMM and any type of Enterprise Architecture Projects (EAP) methodology. The Proof of Concept (PoC) is based on a concrete business case; where the central point is the transformation process of the existing legacy RMS into a modern and intelligent RMS (iRMS). Such Projects are managed by the Business Transformation Managers or an Enterprise Architecture Manager (simply a Manager); who are supported with a methodology and a framework that can support and estimate the risks of implementation of such Projects.

The RMS related research cluster is made up of four research chapters: