scholarly journals An Enterprise Architecture Framework for Mobile Commerce

2014 ◽  
pp. 277-290
Author(s):  
Khawar Hameed ◽  
Hanifa Shah ◽  
Kamran Ahsan ◽  
Weijun Yang
Keyword(s):  
Enterprise Architecture ◽  
Mobile Commerce ◽  
Architecture Framework ◽  
Enterprise Architecture Framework

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.

Decisions Required vs. Decisions Made

2013 ◽  
pp. 176-208 ◽  
Author(s):  
Olaf Zimmermann ◽  
Christoph Miksovic
Keyword(s):  
Enterprise Architecture ◽  
Knowledge Exchange ◽  
Building Blocks ◽  
Architectural Analysis ◽  
Architecture Framework ◽  
Architectural Principles ◽  
Decision Guidance ◽  
Enterprise Architecture Framework ◽  
Architectural Knowledge ◽  
Governance Processes

Contemporary enterprise architecture frameworks excel at inventorying as-is and at specifying to-be architecture landscapes; they also help enterprise architects to establish governance processes and architectural principles. Solution architects, however, expect mature frameworks not only to express such fundamental design constraints, but also to provide concrete and tangible guidance how to comply with framework building blocks, processes, and principles – a route planner is needed in addition to maps of destinations. In this chapter, the authors show how to extend an existing enterprise architecture framework with decision guidance models that capture architectural decisions recurring in a particular domain. Such guidance models codify architectural knowledge by recommending proven patterns, technologies, and products; architectural principles are represented as decision drivers. Owned by enterprise architects but populated and consumed by solution architects, guidance models are living artifacts (reusable assets) that realize a lightweight knowledge exchange between the two communities – and provide the desired route planners for architectural analysis, synthesis, and evaluation.

Sign in / Sign up

Export Citation Format

Share Document