Modeling pervasive platforms and digital services for smart urban transformation using an enterprise architecture framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bokolo Anthony Jnr ◽  
Sobah Abbas Petersen ◽  
Markus Helfert ◽  
Dirk Ahlers ◽  
John Krogstie
Keyword(s):  
Case Studies ◽  
Enterprise Architecture ◽  
Service Integration ◽  
Urban Transformation ◽  
Content Type ◽  
Digital Platforms ◽  
Digital Service ◽  
Digital Services ◽  
Architecture Framework ◽  
Enterprise Architecture Framework

PurposeIn smart cities pervasive systems are deployed by enterprises and stakeholders in municipalities to provide digital services to citizens. But cities are faced with the challenge of achieving system pluggability, mainly service integration due to numerous actors and systems needed for smart urban transformation. Hence, there is need to employ a comprehensive and holistic approach to help achieve service integration of pervasive platforms. Therefore, this study presents an Enterprise Architecture Framework (EAF) to support smart urban transformation.Design/methodology/approachIn this study the design science research methodology is adopted based on a multi-case studies of two organizations and data is collected using semi-structured interview from an organizations and municipality in Norway to validate how service integration can be achieved by the developed EAF to address pluggability challenges faced in urban environment.FindingsFindings suggest that the presented EAF provides the structure to manage changes and maintain urban transformation and aims to align the business with the underlying information systems from the perspective of the stakeholders. Additionally, findings from the case studies modelled in ArchiMate language depict how service integration of different pervasive platforms provide digital services for smart urban transformation.Research limitations/implicationsThis research only employed semi-structured interviews to validate service integration of digital platforms, other identified dimensions of pluggability were not fully addressed in this study.Practical implicationsFindings from the case studies provides insights on how pervasive platforms can be integrated to achieve a pluggable digital service from different stakeholders and data sources in practice. The developed EAF presented in this study provide a model that supports collection and exchange of data from different data sources in smart urban environment to enable the provision and consumption of digital services.Social implicationsThe developed EAF aids system pluggability of actors and systems in providing digital service such as smart urban transformation that contributes to sustainable use of electric mobility in cities.Originality/valueAs cities increasingly deploy pervasive platforms to support urban innovation, researchers are seeking to explore how these platforms shape urban transformation. Presently, prior studies do not offer important insights into pervasive platform management from urban perspective. Against this backdrop, this study employs the information systems perspective of digital platforms literature roots in software development and physical product development to depict how the EAF can be employed to describe specific cases that integrate different pervasive platforms deployed by different stakeholders communicating to co-create collective digital services to citizens.

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

Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 67
Author(s):  
Yoshimasa Masuda ◽  
Alfred Zimmermann ◽  
Murlikrishna Viswanathan ◽  
Matt Bass ◽  
Osamu Nakamura ◽  
...  
Keyword(s):  
Drug Development ◽  
Enterprise Architecture ◽  
Digital Transformation ◽  
New Drugs ◽  
Healthcare Industry ◽  
Reference Architecture ◽  
Digital Platforms ◽  
Digital Architecture ◽  
Architecture Framework ◽  
Enterprise Architecture Framework

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.

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

2021 ◽  
Vol 17 (2) ◽  
pp. 21-43
Author(s):  
Yoshimasa Masuda ◽  
Alfred Zimmermann ◽  
Matt Bass ◽  
Osamu Nakamura ◽  
Seiko Shirasaka ◽  
...  
Keyword(s):  
Success Factors ◽  
Enterprise Architecture ◽  
Digital Transformation ◽  
Digital Platforms ◽  
Digital Architecture ◽  
Critical Success ◽  
Digital Era ◽  
Architecture Framework ◽  
Global Companies ◽  
Enterprise Architecture Framework

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.

scholarly journals Driving digital transformation of comprehensive primary health services at scale in India: an enterprise architecture framework

2021 ◽  
Vol 6 (Suppl 5) ◽  
pp. e005242
Author(s):  
Sunita Nadhamuni ◽  
Oommen John ◽  
Mallari Kulkarni ◽  
Eshan Nanda ◽  
Sethuraman Venkatraman ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Services ◽  
Primary Healthcare ◽  
Enterprise Architecture ◽  
Digital Health ◽  
Security And Privacy ◽  
Primary Health ◽  
Architecture Framework ◽  
Primary Health Services ◽  
Enterprise Architecture Framework

In its commitment towards Sustainable Development Goals, India envisages comprehensive primary health services as a key pillar in achieving universal health coverage. Embedded in siloed vertical programmes, their lack of interoperability and standardisation limits sustainability and hence their benefits have not been realised yet. We propose an enterprise architecture framework that overcomes these challenges and outline a robust futuristic digital health infrastructure for delivery of efficient and effective comprehensive primary healthcare. Core principles of an enterprise platform architecture covering four platform levers to facilitate seamless service delivery, monitor programmatic performance and facilitate research in the context of primary healthcare are listed. A federated architecture supports the custom needs of states and health programmes through standardisation and decentralisation techniques. Interoperability design principles enable integration between disparate information technology systems to ensure continuum of care across referral pathways. A responsive data architecture meets high volume and quality requirements of data accessibility in compliance with regulatory requirements. Security and privacy by design underscore the importance of building trust through role-based access, strong user authentication mechanisms, robust data management practices and consent. The proposed framework will empower programme managers with a ready reference toolkit for designing, implementing and evaluating primary care platforms for large-scale deployment. In the context of health and wellness centres, building a responsive, resilient and reliable enterprise architecture would be a fundamental path towards strengthening health systems leveraging digital health interventions. An enterprise architecture for primary care is the foundational building block for an efficient national digital health ecosystem. As citizens take ownership of their health, futuristic digital infrastructure at the primary care level will determine the health-seeking behaviour and utilisation trajectory of the nation.

Aligning Operational Decisions to Enterprise Objectives Through a Dynamic Enterprise Architecture Approach

2012 ◽  
Author(s):  
B. Chadha ◽  
M. Pemberton ◽  
A. Crockett ◽  
J. Sharkey ◽  
J. Sacks ◽  
...  
Keyword(s):  
Decision Support ◽  
Enterprise Architecture ◽  
Business Models ◽  
Rate Of Change ◽  
Operational Decisions ◽  
Business Decision ◽  
Business Executive ◽  
Decision Systems ◽  
Architecture Framework ◽  
Enterprise Architecture Framework

As the rate of change in both business models and business complexity increases, enterprise architecture can be positioned to supply decision support for executives. The authors propose a dynamic enterprise architecture framework that supports business executive needs for rapid response and contextualized numerical decision support. The classic approaches to business decision making are both over simplified and insufficient to account for the dynamic complexities of reality. Recent failures of historically sound businesses demonstrate that a more robust mathematical approach is required to establish and maintain the alignment between operational decisions and enterprise objectives. We begin with an enterprise architecture (EA) framework that is robust enough to capture the elements of the business within the structure of a meta model that describes how the elements will be stored and tested for completeness and coherence. We add to that the analytical tools needed to innovate and improve the business. Finally, dynamic causal and agent layers are added to account for the qualitative and evolutionary elements that are normally missing or over simplified in most decision systems. This results in a dynamic model of an enterprise that can be simulated and analyzed to answer key business questions and provide decision support. We present a case study and demonstrate how the models are used within the decision framework to support executive decision makers.

The Business Transformation Enterprise Architecture Framework

2021 ◽  
Vol 13 (1) ◽  
pp. 74-101
Author(s):  
Antoine Trad
Keyword(s):  
Research Method ◽  
Enterprise Architecture ◽  
Real Life ◽  
Market Development ◽  
Decision Making Process ◽  
Strategic Development ◽  
Business Transformation ◽  
Architecture Framework ◽  
Base Functions ◽  
Enterprise Architecture Framework

This chapter's author based his cross-functional research on an authentic and proprietary mixed research method that is supported by intelligent neural networks combined with a heuristics motor, named the applied mathematical model (AMM). The proposed AMM base functions like the human empiric decision-making process that can be compared to the behaviour-driven development. The AMM is supported by many real-life cases of business and architecture transformation projects in the domain of intelligent strategic development and operations (iSDevOps) that is supported by the alignment of various standards and development strategies that biases the standard market development and operations (DevOps) procedures, which are Sisyphean tasks.

scholarly journals Developing the indonesian government enterprise architecture framework appropriate for Indonesian government agencies

2019 ◽  
Vol 8 (3) ◽  
pp. 152
Author(s):  
Asbartanov Lase ◽  
Benny Ranti
Keyword(s):  
New Zealand ◽  
Enterprise Architecture ◽  
Research Process ◽  
Government Agencies ◽  
Implementation Cost ◽  
Institutional Level ◽  
Indonesian Government ◽  
Architecture Framework ◽  
Government Enterprise ◽  
Enterprise Architecture Framework

<span>This research was conducted to develop the Indonesian Government Enterprise Architecture (IGEA) framework which is suitable for Indonesian government agencies. Due to their complexity and expensive implementation cost, existing EA frameworks such as TOGAF and Zachman have so far not been the choice for building GEA by some countries including Australia and New Zealand. Those countries have built their own GEA namely Australia’s AGA and New Zealand’s GEA-NZ, respectively. Learning from this experience, the authors did a research to build Indonesia’s GEA or IGEA. This paper explains the research process which starts from mapping or comparing TOGAF, AGA, and GEA-NZ frameworks to get the underlying foundation for building GEA, analyzing framework artifacts, to building IGEA by adding specific Indonesian regulations and policies such as RPJMN and Nawacita. This IGEA framework is expected to become a reference for developing EA not only at institutional level but also the most important thing at national or cross institutional level, in order to increase the effectiveness of government IT spending.</span>

scholarly journals Another Look at Enterprise Architecture Framework

2018 ◽  
Vol 6 (2) ◽  
pp. 172 ◽  
Author(s):  
Shuichiro Yamamoto ◽  
Nada Ibrahem Olayan ◽  
Shuji Morisaki
Keyword(s):  
Enterprise Architecture ◽  
Architecture Framework ◽  
Key Features ◽  
Enterprise Architecture Framework

<p><em>Although there were many comparison literatures of EA frameworks, these literature use qualitative criteria based on intuitive practitioner’s experience. The paper first defines 36 concrete features of EA frameworks using six categories and six interrogatives.</em> <em>Then</em><em> </em><em>we concretely compare</em><em> </em><em>typical</em><em> </em><em>EA</em><em> </em><em>frameworks based on the key features. The result shows the easiness and concreteness of the proposed EA comparison framework.</em><em></em></p>

The Business Transformation Framework and Enterprise Architecture Framework for Managers in Business Innovation

2019 ◽  
pp. 20-49
Author(s):  
Antoine Trad
Keyword(s):  
Knowledge Management ◽  
Software Engineering ◽  
Enterprise Architecture ◽  
Global Business ◽  
Business Transformation ◽  
Knowledge Based ◽  
Architecture Framework ◽  
Enterprise Architecture Framework ◽  
Global Software Engineering ◽  
Technical Recommendations

The KMGSE offers a real-life case for detecting and processing an enterprise knowledge management model for global business transformation, knowledge management systems, global software engineering, global business engineering and enterprise architecture recurrent problems solving. This global software engineering (GSE) subsystem is a driven development model that offers a set of possible solutions in the form of architecture, method, patterns, managerial and technical recommendations, coupled with an applicable framework. The proposed executive and technical recommendations are to be applied by the business environment's knowledge officers, architects, analysts and engineers to enable solutions to knowledge-based, global software engineering paradigms' development and maintenance.

The Use of an Enterprise Architecture Framework to Guide the Management of Big Data in Health Organisations

2021 ◽  
pp. 39-50
Author(s):  
Monica Nehemia ◽  
Tandokazi Zondani
Keyword(s):  
Big Data ◽  
Enterprise Architecture ◽  
Business Processes ◽  
High Rate ◽  
Infrastructure Development ◽  
Multiple Sources ◽  
Technology Infrastructure ◽  
Public And Private ◽  
Architecture Framework ◽  
Enterprise Architecture Framework

Big data has gained popularity in recent years, with increased interest from both public and private organisations including academics. The automation of business processes led to the proliferation of different types of data at various speeds through information systems. Big data is generated at a high rate from multiple sources that can become complex to manage with challenges to collect, manipulate, and store data with traditional IS/IT. Big data has been associated with technical non-technical challenges. Due to these challenges, organisations deploy enterprise architecture as an approach to holistically manage and mitigate challenges associated with business and technology. An exploratory study was done to determine how EA could be used to manage big data in healthcare facilities. This study employs the interpretive approach with documentation as the analysis. Findings were governance, internal and external big data sources, information technology infrastructure development, and big data skills. Through the different EA domains, big data challenges could be mitigated.

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