Adaptive Enterprise Architecture Research Articles

A TOGAF based interoperable health information system needs assessment for practitioner–patient interaction

AbstracteHealth systems have been created in most developing countries to facilitate the functioning of healthcare operations and as such various healthcare applications are existing as fragmented silo systems. Such autonomous standalone systems do not communicate through a network thereby making it a challenge to share healthcare data. Therefore, to re‐engineer health information systems (HISs) to develop interoperable adaptive enterprise architecture (EA) systems for healthcare, the study aimed to discover and capture healthcare interoperability functional imperatives through understanding the expectations of healthcare practitioners and patients on post‐development of an interoperable HIS. Therefore, the study's aim was to determine the HISs interoperability perceived functional expectations by both patients and practitioners in fulfilling their healthcare receipt and provision needs in an integrated healthcare environment, respectively. The Open Group Architecture Framework (TOGAF) was used as the main study framework to guide the classification of the expectations from the HIS by patients and practitioners deriving the needs from the four domains which are, business architecture (BA), application architecture (AA), data architecture (DA), and technical architecture. The study used interviews and questionnaire surveys to collect qualitative and quantitative data respectively. The study used purposive sampling to select interview participants. A total of 19 interviews were conducted with healthcare practitioners. Questionnaires were collected from 71 healthcare practitioners and 143 patients and analyzed quantitatively respectively to understand the most significant needs anticipated in an interoperable HIS. The research targeted age groups of at least 20 years and above. The study discovered that patients and practitioners expect the interoperable healthcare environment to support the acquisition of disease knowledge through healthcare surveillance synergies; create healthcare awareness through coordinated digital interactions; augmentation of healthcare intelligence for patient‐care through the healthcare knowledgebase; allow treatment collaboration by various healthcare practitioners in the healthcare ecosystem and mostly achieving a guaranteed healthcare system security and assurance environment.

Proposal of a sensing model in an Adaptive Enterprise Architecture

Nowadays, enterprises are evolving in an interconnected ecosystem mainly characterized by turbulence. They undergo unprecedented acceleration in transformations to survive in this highly dynamic and competitive landscape. This disrupts the osmosis between the various intertwined levels of abstraction of the organisation (Strategy, Business, and Information System). Enterprise Architecture and Adaptive Enterprise Architecture, especially, are used to catalyse successive changes and to ensure scalability over time. In this context, it is compulsory for companies to sense the change proactively or reactively in early stages to respond to uncertainty. They need to build their knowledge by continuously absorbing information and data from internal and external sources. Thus, a sensing model must be devised to face enterprise needs. In this paper we propose a meta-model that formalizes the sensing capability to make smooth adaptation. We also present a model that supports adequate future enterprise architecture adoption.

Digitalisation performance assessment: A systematic review

Organisations are showing a keen interest in digitalisation. However, they are uncertain about how to determine the impact of digitalisation on organisation performance outcomes. This places decision-makers in a challenging position to assess the feasibility and intended performance outcomes of digitalisation. This paper aims to address this important research need and provides the performance indicators, measures, metrics and scales based on a systematic review of 30 selected papers. The results from this review were synthesised using the “adaptive enterprise architecture”, and “results and determinants” frameworks as theoretical lenses. This work will benefit researchers and practitioners interested in studying the impact of digitalisation on organisational performance.

Adaptive Enterprise Architecture Process for Global Companies in a Digital IT Era

Enterprise architecture (EA) is useful for promoting digital transformation in global companies and information societies. In this paper, the authors investigated and analyzed the process for digital transformation in global companies, together with related work in using and applying an enterprise architecture framework for the digital era named the adaptive integrated digital architecture framework (AIDAF). Moreover, they position the AIDAF framework for processing digital transformation in global companies. Based on this analysis, the authors propose and describe a new enterprise architecture process for promoting digital transformation in global companies. Furthermore, the authors propose an adaptive EA cycle-based architecture board framework on digital platforms, while verifying them with case studies in global companies. Finally, the authors clarify the challenges and critical success factors of the process and framework for digital transformation with architecture board reviews in the adaptive EA cycle to assist EA practitioners with its implementation.

Adaptive Enterprise Architecture for the Digital Healthcare Industry: A Digital Platform for Drug Development

Enterprise architecture (EA) is useful for effectively structuring digital platforms with digital transformation in information societies. Moreover, digital platforms in the healthcare industry accelerate and increase the efficiency of drug discovery and development processes. However, there is the lack of knowledge concerning relationships between EA and digital platforms, in spite of the needs of it. In this paper, we investigated and analyzed the process of drug design and development within the healthcare industry, together with related work in using an enterprise architecture framework for the digital era named the Adaptive Integrated Digital Architecture Framework (AIDAF), specifically supporting the design of digital platforms there. Based on this analysis, we evaluate a method and propose a new reference architecture for promoting digital platforms in the healthcare industry, with future specific aspects of them making effective use of Artificial Intelligence (AI). The practical and theoretical contributions include: (1) Streamlined processes through digital platforms in organizations. (2) Informal knowledge supply and sharing among organizational members through digital platforms. (3) Efficiency and effectiveness in planning production and business for drug development. The findings indicate that EA with digital platforms using the AIDAF contribute to digital transformation with effectiveness for new drugs in the healthcare industry.

Architecture Board Practices in Adaptive Enterprise Architecture with Digital Platform

This article aims to investigate solutions incorporated by a group called an Architecture Board in the global healthcare enterprises (GHE) for solving issues and mitigating related architecture risks while implementing “Adaptive Integrated EA framework,” which can be applied in companies promoting IT strategy using Cloud/Mobile IT. The distribution of solutions is to mitigate risks from different categories across the architecture domains in enterprise architecture (EA) is revealed, thereby covering applications, involving ERP, and technologies using the Cloud/Mobile IT/Digital IT. An in-depth analysis of this distribution can act as practical guidance for companies that consider starting up an Architecture Board, by utilizing digital platforms, while moving toward a digital transformation in an adaptive EA aligned with an IT strategy, encompassing digital IT-related elements.

Adaptive Enterprise Architecture Modelling

Agile or adaptive enterprise architecture driven software development approach requires a modelling standard to describe the existing and to-be developed artifacts both at the high enterprise level and low, detailed level. However, a single modelling standard may not be used off-the-shelf to fully support the modelling needs of an adaptive enterprise architecture driven software development needs. The modelling standards need to be systematically analyzed and integrated for a particular modelling context. This paper reviews two well-known modeling standards ArchiMate and BPMN by using the interoperability research framework. Based on the syntax, semantics and structural analysis of these two modelling standards' metamodels, it proposes a hybrid adaptive enterprise architecture modelling approach for describing and analysing the artifacts both at the high enterprise level and low, detailed level for a particular context. This paper has both theoretical and practical implications for researchers and practitioners pursuing to integrate various modelling standards.

Applying Agility and Living Service Systems Thinking to Enterprise Architecture

Adaptive enterprise architecture capability plays an important role in enabling complex enterprise transformations. One of the key challenges when establishing an adaptive enterprise architecture capability is identifying the enterprise context and the scope of the enterprise architecture. The objective of this paper is to develop and present an adaptive enterprise service system (AESS) conceptual model, which is a part of The Gill Framework for Adaptive Enterprise Service Systems. This model has been developed using a “Design Research” approach. The AESS conceptual model assimilates agility, service, and living systems thinking (following multi-agent system modelling) for describing and analyzing the enterprise context and scope for establishing an adaptive enterprise architecture capability. The target audience of this AESS model driven approach includes both, enterprise architecture researchers and practitioners.