An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 26-66
Keyword(s):  
Mathematical Model ◽  
Case Studies ◽  
Enterprise Architecture ◽  
Complex Case ◽  
Proof Of Concept ◽  
Business Transformation ◽  
Implementation Model

This chapter presents an applied case study (ACS) that is supported by a proof of concept (PoC) that is implemented in each of this book's chapters to prove the feasibility of the chapter's and hence the book's HMM approach. The ACS/PoC are used to present the research's framework on how to support business transformation projects (BTP) and enterprise architecture projects (EAP) (or simply projects). The ACS/PoC is supported mainly by an adopted fictive case from the insurance domain. The uniqueness of the proposed HMM promotes a holistic enterprise architecture and an implementation model that supports complex case studies.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture Projects

2020 ◽  
pp. 211-247
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Knowledge Management ◽  
Enterprise Architecture ◽  
Real Life ◽  
Knowledge Management System ◽  
Complex Case ◽  
Avant Garde ◽  
Business Transformation ◽  
Implementation Model

This chapter presents the holistic and dynamic knowledge management system (H&DKMS) concept that is implemented in a proof of concept to prove the feasibility of the chapter using the book's HMM approach. The H&DKMS supports business transformation projects (BTP) and enterprise architecture projects (EAP) (simply project). The H&DKMS is supported mainly by an adopted fictious case from the insurance domain. The uniqueness of the proposed HMM promotes a holistic architecture and implementation model that supports complex case studies. The integrated knowledge management and decision-making process are used in a day-to-day business and technology problems solving. In this chapter, the proposed solution (or model) is supported by a real-life case of business transformation methodology in the domain of H&DKMS that in turn is based on the alignment of various standards and avant-garde methodologies.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 502-538
Keyword(s):  
Mathematical Model ◽  
Enterprise Architecture ◽  
Real Life ◽  
Technology Standards ◽  
Resources Management ◽  
Avant Garde ◽  
Business Transformation ◽  
Implementation Model ◽  
Complex Projects ◽  
Decision Making System

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.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 464-501
Keyword(s):  
Mathematical Model ◽  
Enterprise Architecture ◽  
Real Life ◽  
Technology Standards ◽  
Business Transformation ◽  
Business Architecture ◽  
Implementation Model ◽  
Design And Implementation ◽  
Complex Projects ◽  
Decision Making System

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, design, and implementation model that supports complex projects integrations using a targeted PoC, in this case the EAP4PoC. The adaptable management system (aMS), which is described in a separate chapter, and decision-making system (DMS) are used in day-to-day business, architecture, and technology problem-solving activities. In this chapter, the proposed solutions are supported by a real-life case of a project methodology in the domain of enterprise architecture that in turn is based on the alignment of various business, architecture, and technology standards.

An Applied Mathematical Model for Business Transformation

2020 ◽  
pp. 248-297
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Enterprise Architecture ◽  
Business Case ◽  
Transformation Process ◽  
Business Enterprise ◽  
Proof Of Concept ◽  
Implementation Phase ◽  
Business Transformation ◽  
Decision Making System

The authors propose to use the holistic business system's risk assertion (HBSRA). The HBSRA supports a central decision-making system (DMS), projects, and enterprise architecture projects (EAP). The proof of concept (PoC) is based on applied business case from the insurance domain, where the central point is the transformation process of a traditional insurance enterprise into an agile and automated business enterprise. Such projects are managed by business transformation managers (manager or simply managers) who are supported with a methodology and a framework that can support and estimate the risks of implementation of projects. The manager is responsible for the implementation of the complex background of projects and during its implementation phase.

scholarly journals Using Enterprise Architecture to Integrate Lean Manufacturing, Digitalization, and Sustainability: A Lean Enterprise Case Study in the Chemical Industry

2021 ◽  
Vol 13 (9) ◽  
pp. 4851
Author(s):  
Ming-Hui Liao ◽  
Chi-Tai Wang
Keyword(s):  
Chemical Industry ◽  
Lean Manufacturing ◽  
Enterprise Architecture ◽  
Raw Materials ◽  
Core Competencies ◽  
Sustainable Business ◽  
Business Transformation ◽  
Lean Enterprise ◽  
Architecture Framework

The chemical industry has sustained the development of global economies by providing an astonishing variety of products and services, while also consuming massive amounts of raw materials and energy. Chemical firms are currently under tremendous pressure to become lean enterprises capable of executing not only traditional lean manufacturing practices but also emerging competing strategies of digitalization and sustainability. All of these are core competencies required for chemical firms to compete and thrive in future markets. Unfortunately, reports of successful transformation are so rare among chemical firms that acquiring the details of these cases would seem an almost impossible mission. The severe lack of knowledge about these business transformations thus provided a strong motivation for this research. Using The Open Group Architecture Framework, we performed an in-depth study on a real business transformation occurring at a major international chemical corporation, extracting the architecture framework possibly adopted by this firm to become a lean enterprise. This comprehensive case study resulted in two major contributions to the field of sustainable business transformation: (1) a custom lean enterprise architecture framework applicable to common chemical firms making a similar transformation, and (2) a lean enterprise model developed to assist chemical firms in comprehending the intricate and complicated dynamics between lean manufacturing, digitalization, and sustainability.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 103-130
Keyword(s):  
Mathematical Model ◽  
Enterprise Architecture ◽  
Real Life ◽  
Development Project ◽  
Advanced Mathematics ◽  
Development Environment ◽  
Business Transformation ◽  
Natural Language Programming ◽  
High Level ◽  
Transformation Processes

The HMM research and development project concept (RDPC) uses factor-driven research and reasoning concept that is supported by a behaviour-driven development environment or a natural language programming that can be easily adopted by any RDPC, where the HMM framework offers such a high level factors editing their logic implementation environment that it can be used by any RDPC researchers without any prior knowledge in computer sciences, technical, or even advanced mathematics. The RDPC is a meta-model that can be used for research topics on enterprise architecture, business transformation or decision-making systems, mathematical models-algorithms. It is supported by many real-life cases. The uniqueness of this RDPC also promotes the future transformation project's unbundling and the alignment of various enterprise resources including services, architecture standards, and strategies to support business transformation processes as the first.

scholarly journals Enterprise Architecture: A Business Value Realization Model

2020 ◽  
Vol 12 (20) ◽  
pp. 8485
Author(s):  
Ayed Alwadain
Keyword(s):  
Enterprise Architecture ◽  
Conclusive Evidence ◽  
Case Study Method ◽  
Business Transformation ◽  
Constant Change ◽  
Benefits Realization ◽  
Value Realization ◽  
Realization Process ◽  
Organizational Value

Today, as organizations face constant change, they must rapidly adapt their strategies and operations. This involves continuous business transformation. However, guiding and managing such transformation can be an intimidating task because of organizational complexity. Hence, organizations resort to Enterprise Architecture (EA) to address this complexity and achieve their transformation goals. Nonetheless, there is a lack of research on EA benefits realization and a dearth of conclusive evidence on how EA enables business transformation and delivers value to organizations. Therefore, this research uses a case study method to explore how EA investment is converted into organizational value. This research makes two contributions. The first of these is the development of an EA value realization model, which comprises three iterative and interrelated processes: the EA conversion process, the EA use process, and the EA competitive process. The second contribution is the identification of factors that may influence the value realization process.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2021 ◽  
pp. 51-89
Author(s):  
Antoine Trad
Keyword(s):  
Mathematical Model ◽  
Risk Management ◽  
Enterprise Architecture ◽  
Business Environment ◽  
Business Systems ◽  
Management Pattern ◽  
Business Transformation ◽  
Business System ◽  
Business Engineering ◽  
Research Architecture

This chapter on an optimal and adaptable enterprise architecture for business systems is one of a series of research chapters on enterprise architecture and business transformations. This one is about estimating the risk for transforming a business environment. It is a conclusion of many years of research, architecture, consulting, and development efforts. The model is based on an applied holistic mathematical model (AHMM) for business transformations. In this chapter, the CSFs are tuned to support the intelligent architecture concepts for business integration in the form of an applied pattern that is also a part or a chapter in this research series. This chapter is related to the feasibility and prototype of the business engineering and risk management pattern (BE&RMP) that should (or shouldn't) prove whether business transformation projects can optimize enterprise business capabilities and how microartefact implementation can offer a sustainable enterprise business system.

The Business Transformation Framework and Enterprise Architecture Framework

2021 ◽  
pp. 535-566
Author(s):  
Antoine Trad
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Money Laundering ◽  
Asset Management ◽  
Enterprise Architecture ◽  
Real Life ◽  
Concrete Case ◽  
Business Transformation ◽  
Architecture Framework ◽  
Enterprise Architecture Framework

In this chapter, the author based his research on his authentic mixed multidisciplinary applied mathematical model that is supported by a tree-base heuristics module, named the applied holistic mathematical model for organizational asset management (AHMM4OAM), where the proposed AHMM4OAM is similar to the human empirical decision making process, which can be applied to any type of asset management discipline, in order to support the evolution of organisational, national, or enterprise asset management. The AHMM4OAM can be used for the detection of financial irregularities, assets optimisations and eventual dangers for the organisation's or national assets. In the case of gigantic financial misdeeds that endanger national assets, which are related to fraud and money laundering that damage many organisations and even countries, and in this concrete case it is related to the Swiss, Union des Banques Suisse (UBS), in which 32 trillion US dollars are hidden and is the problem of global financial disequilibria. The AHMM4OAM is supported by a real-life case of a organisational (or business) transformation architecture in the domain of organizational (or enterprise) asset management (OAM) that is supported by the alignment of a standardized organisational or enterprise architecture blueprint.

Advancing Cybersecurity for Business Transformation and Enterprise Architecture Projects

2021 ◽  
pp. 288-331
Author(s):  
Antoine Trad
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Decision Making ◽  
Enterprise Architecture ◽  
Research Approach ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Business Transformation ◽  
Action Research Approach ◽  
Enterprise Transformation

In this chapter, the author bases his research project on his authentic mixed multidisciplinary applied mathematical model for transformation projects. His mathematical model, named the applied holistic mathematical model for projects (AHMM4P), is supported by a tree-based heuristics structure. The AHMM4P is similar to the human empirical decision-making process and is applicable to any type of project; it is aimed to support the evolution of organisational, national, or enterprise transformation initiatives. The AHMM4P can be used for the development of the cybersecurity subsystems, enterprise information systems, and their decision-making systems, based on artificial intelligence, data sciences, enterprise architecture, big data, deep learning, and machine learning. The author attempts to prove that an AHMM4P-based action research approach can unify the currently frequently-used siloed MLI4P and DLI4P trends.

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