Enterprise Architectures for E-Government Development

Author(s):  
Muhammad Kashif Farooq ◽  
Shafay Shamail ◽  
Mian Muhammad Awais

There are two common strategies for the development of e-government projects. One approach is demand based e-government initiatives having no national level centralized Enterprise Architecture. The other is the development of projects under the shadow of a predefined set of guidelines following a given Enterprise Architecture at the national level. It is similar to developing a demand based unplanned city development verses a master plan based development. Complex electronic service deliveries need allied and synchronized output of all the projects. Architectural approach provides guidelines from project planning to technical development and operations. It aligns all the e-government projects with some standard principles. A National Enterprise Architecture based approach provides a number of benefits, including institutionalization of top level strategic planning, standardized development across all levels of e-government, sustainability of e-government projects when governments change, cost reduction by sharing resources and better return on investment. There are many enterprise architectures for e-government development. Different countries are experimenting with different enterprise architectures. In this chapter, e-government projects and their devolution is discussed using Zachman Framework, Reference Model for Open Distributed Processing (RM-ODP), A Reference Model for Collaboration Networks (ARCON), The Open Group Architectural Framework (TOGAF), and Federal Enterprise Architecture Framework (FEAF). It is recommended that architectural implementation should be aligned with governing structure of a country such as centralized, devolved and decentralized. However, governments may use a decentralized architecture and devolve it to its sub-nationals such as state/provincial level and city level as per their political, fiscal and administrative needs and capacity.

2016 ◽  
Vol 0 (0) ◽  
pp. 23-32 ◽  
Author(s):  
Janusz Dygaszewicz ◽  
Bolesław Szafrański

Article is devoted to the modernization of the statistical production process. The starting point for formulating the principles and methods of the modernization is to establish a framework architecture. An in-depth analysis of all relevant aspects arising from the holistic approach to the production of statistics is essential to extract the key business issues. Business needs are the foundation for the formulation of a coherent and transparent guidelines, demands, legal and technical requirements, both domestic and international which are the basis for the construction of the enterprise architecture framework and the development of solutions used to carry out the tasks of public statistics. The process of constructing architectural framework requires the use of models and methods used in scientific research, in particular arising from the achievements of enterprise architecture and modeling tools for object-oriented computing.


2012 ◽  
Vol 2 (4) ◽  
pp. 238
Author(s):  
Mohammad Hossain Moshref Javadi ◽  
Maedeh Rabbanimehr ◽  
Majid Foruzan

In the current condition of the world and with regards to the world competition, organizational existence has become the most important problem of the managers. The success secret of current organizations depends on setting their ultimate goals and objectives outside of the organization. In another word, in a safe organization, goal is to serve its customers. In this regard, the meaning of agility is to reach customer’s wants and desires by wastages elimination in all sections of the organization. Therefore, sometimes an organizations in order to reach such objectives need to implement fundamental changes.Agility enterprise architecture is an architectural framework for organizational reengineering in designing, developing, integrating and performing a agility organization in applying systems engineering methods. With regards to the discussion of information technology and systems engineering in today’s organizations which is considered important. In this article, it is tried to study processes reengineering with the use of agility enterprise architectural reengineering framework with focusing on competitive intelligence and its practical phases. Eventually, reasons for importance of agility enterprise architecture, summary and results along with propositions will be explained. The research results indicated that the proposed framework has some benefits which among the most important ones are: Improvement quality in organization, delivering just in time of goods, enhancing customer satisfaction, wastages elimination and as a results decreasing costs. Overall, the benefits gained from this model can create stability in the world competition.Key words: Processes reengineering, enterprise architecture, agility production, competitive intelligence, AHP


2021 ◽  
Vol 6 (Suppl 5) ◽  
pp. e005242
Author(s):  
Sunita Nadhamuni ◽  
Oommen John ◽  
Mallari Kulkarni ◽  
Eshan Nanda ◽  
Sethuraman Venkatraman ◽  
...  

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.


Author(s):  
B. Chadha ◽  
M. Pemberton ◽  
A. Crockett ◽  
J. Sharkey ◽  
J. Sacks ◽  
...  

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.


2021 ◽  
Vol 13 (1) ◽  
pp. 74-101
Author(s):  
Antoine Trad

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.


Author(s):  
Asbartanov Lase ◽  
Benny Ranti

<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>


2018 ◽  
Vol 6 (2) ◽  
pp. 172 ◽  
Author(s):  
Shuichiro Yamamoto ◽  
Nada Ibrahem Olayan ◽  
Shuji Morisaki

<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>


Author(s):  
Antoine Trad

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.


Author(s):  
Monica Nehemia ◽  
Tandokazi Zondani

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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