Enterprise Architecture Evolution Research Articles

Arsitektur Perusahaan Untuk Mendukung Transformasi Digital: Systematic Literature Review

This study aims to describe the development of studies on Enterprise Architecture (EA) in supporting Digital Transformation. The Systematic Literature Review (SLR) method was used to obtain 36,513 studies with manual searches in two databases, and finally 12 primary studies were selected with a time limit of 2018-2022. A total of seven issues/issues were identified and analyzed, namely EA support analysis, EA weakness analysis, Enterprise Architecture Management (EAM) benefit analysis, EA evolution, EA method development, and EA model development. EA's contribution is explained with a description of the problems / issues that have been identified, and the research sectors analyzed include Small and Medium Enterprises in Mechanical Engineering, manufacturing, health, and Small and Medium Enterprises in general, and some studies that do not limit their research sectors. The results show that studies on EA in supporting Digital Transformation have decreased in the last five years. Studies related to the benefits of EAM still show EA's weakness in supporting Digital Transformation. The limited research sector consists of SMEs and health. This review provides some guidelines for future researchers who want to research on this topic.

A decision-making approach for enterprise architecture evolution using simulation

Enterprise architecture (EA) is a discipline that provides management with appropriate indicators and controls to steer and model the enterprise during change. However, the management of such change is a challenging task for enterprise architects due to the complex dependencies amongst EA models when evolving from initial (As-is) to posterior (To-be) states. We present an approach supporting design decision during EA evolution, by assisting enterprise architects in computing best alternatives to a posterior state. In doing so, we model EA artefacts dependencies and identify their evolution during change. This model is, then, processed using a control schema to inform EA design decisions. Further, we rationalise on design decision by computing EA models alternatives, using Markov theory. Finally, we evaluate this decision-making approach using a motivating example by simulating a stochastic solution in order to argue about the usefulness and applicability of our proposal.

A decision-making approach for enterprise architecture evolution using simulation

Enterprise architecture (EA) is a discipline that provides management with appropriate indicators and controls to steer and model the enterprise during change. However, the management of such change is a challenging task for enterprise architects due to the complex dependencies amongst EA models when evolving from initial (As-is) to posterior (To-be) states. We present an approach supporting design decision during EA evolution, by assisting enterprise architects in computing best alternatives to a posterior state. In doing so, we model EA artefacts dependencies and identify their evolution during change. This model is, then, processed using a control schema to inform EA design decisions. Further, we rationalise on design decision by computing EA models alternatives, using Markov theory. Finally, we evaluate this decision-making approach using a motivating example by simulating a stochastic solution in order to argue about the usefulness and applicability of our proposal.

Automating the Migration of Enterprise Architecture Models

The evolution of Enterprise Architectures (EA) is the result of applying EA development projects within organizations with the goal of accomplishing specific business requirements. Recent approaches seek to automate and improve EA practice within organizations by employing EA management tools. Thus, evolving the organization's EA meta-model is a consequence of fulfilling such initiatives. Currently, the migration of EA models conforming to a specific EA meta-model evolution is a manual task in which EA data corresponding to the actual models is gathered and the models re-designed. This results in an error-prone and time-consuming task. To address this issue, the authors propose a set of migration rules to automate the migration process. The proposed migration rules were implemented within an EA tool and then demonstrated and validated using a fictitious organization migration scenario.

Empirical insights into the development of a service-oriented enterprise architecture

Organisations use Enterprise Architecture (EA) to reduce organisational complexity, improve communication, align business and information technology (IT), and drive organisational change. Due to the dynamic nature of environmental and organisational factors, EA descriptions need to change over time to keep providing value for its stakeholders. Emerging business and IT trends, such as Service-Oriented Architecture (SOA), may impact EA frameworks, methodologies, governance and tools. However, the phenomenon of EA evolution is still poorly understood. Using Archer's morphogenetic theory as a foundation, this research conceptualises three analytical phases of EA evolution in organisations, namely conditioning, interaction and elaboration. Based on a case study with a government agency, this paper provides new empirically and theoretically grounded insights into EA evolution, in particular in relation to the introduction of SOA, and describes relevant generative mechanisms affecting EA evolution. By doing so, it builds a foundation to further examine the impact of other IT trends such as mobile or cloud-based solutions on EA evolution. At a practical level, the research delivers a model that can be used to guide professionals to manage EA and continually evolve it.

A Critical Realist Perspective of Enterprise Architecture Evolution: Conditioning and Outcomes

This paper investigates how Enterprise Architecture (EA) evolves due to emerging trends. It specifically explores how EA integrates the Service-oriented Architecture (SOA). Archer’s Morphogenetic theory is used as an analytical approach to distinguish the architectural conditions under which SOA is introduced, to study the relationships between these conditions and SOA introduction, and to reflect on EA evolution (elaborations) that then take place. The paper focuses on reasons for why EA evolution could take place, or not and what architectural changes could happen due to SOA integration. The research builds on sound theoretical foundations to discuss EA evolution in a field that often lacks a solid theoretical groundwork. Specifically, it proposes that critical realism, using the morphogenetic theory, can provide a useful theoretical foundation to study enterprise architecture (EA) evolution. The initial results of a literature review (a-priori model) were extended using explorative interviews. The findings of this study are threefold. First, there are five different levels of EA-SOA integration outcomes. Second, a mature EA, flexible and well-defined EA framework and comprehensive objectives of EA improve the integration outcomes. Third, the analytical separation using Archer’s theory is helpful in order to understand how these different integration outcomes are generated.

Core System Transformation and Big Data Re-Architecting

Core System Transformation and Big Data Re-Architecting

Web Page Interface Localisation in Devanagari for Commercial Interactive Applications by Enhancing Basic Functionality of Apache Server

The Internet is a global medium of communication and information sharing with the evolution of e-Commerce and eGovernance applications along with enterprise architecture evolution. It provides vast opportunities for existing marketing professionals to establish business dimensions and capture benefits with software resources. The serviceability factors of the Internet have proven to be beneficial to society, by and large, with the only limitation being the linguistic barrier, since English has been the predominant language for the World Wide Web since its inception and hence it‟s usage is confined to a specific community of people have a good grasp of the English language.. The solution to this problem is web page interface localisation. Web Page interface localisation of commercial web based interactive applications is the path-breaking solution which provides efficient and effective user-friendly interface by translating the Web page interface stored on the Web Server to the target native language on the fly. Authors focused on how to provide local language access for Indian National Language Hindi and Marathi Language of Maharashtra state for the interface of commercial web based application (domain specific application) by using controlled language.

Collaborative Enterprise Architecture Design and Development with a Semantic Collaboration Tool

The design and evolution of an enterprise architecture (EA) is a challenging and complex task. A participative approach to collaborative EA management is needed to support the collaboration of all individuals involved in the process of EA design and evolution. This article presents our concept of a semantic collaboration tool for collaborative EA management. This includes the concept of a semantic, Wiki-like collaboration tool for collaborative EA management and an EA ontology as a formal representation of the EA. Additionally, the prototypical implementation of the semantic collaboration environment and its architecture are described and the benefits of the approach discussed.