Towards a Framework for Enterprise Architecture in Mobile Government: A Case Study

• URL: http://arxiv.org/abs/2501.09401v1
• Date: Thu, 16 Jan 2025 09:13:09 GMT
• Title: Towards a Framework for Enterprise Architecture in Mobile Government: A Case Study
• Authors: Son Pham, Duong Dang, Son Hoang, Byeongnam Yoon,
• Abstract summary: The m-government model deviates from e-government in terms of information technology (IT) infrastructure, security, and application management and implementation. Enterprise architecture (EA) has been developed and utilized globally to enhance efficiency and information and communication technology (ICT) utilization in the public sector through e-government. This study seeks to develop an EA specifically tailored for m-government in a developmental context.
• Score: 0.13499500088995461
• License:
• Abstract: Mobile government (m-government) represents a distinct paradigm shift from electronic government (e-government), offering a new avenue for governments worldwide to deliver services and applications to their customers. The m-government model deviates from e-government in terms of information technology (IT) infrastructure, security, and application management and implementation. Enterprise architecture (EA) has been developed and utilized globally to enhance efficiency and information and communication technology (ICT) utilization in the public sector through e-government. However, the application of EA within the context of m-government, particularly in developing countries, has largely been overlooked by scholars. This study aims to address this gap. This study seeks to develop an EA specifically tailored for m-government in a developmental context. Our contribution to the literature is the illustration of a proposed EA framework for m-government. The practical implementation of this study is to identify critical considerations when designing and adopting m-government to avoid redundant investments during the integration of infrastructure and applications from e-government to m-government.

Related papers

• Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders [59.17981603969404]
  The responsible AI (RAI) community has introduced numerous processes and artifacts to facilitate transparency and support the governance of AI systems. We conduct semi-structured interviews with 19 government, legal, and civil society stakeholders who inform policy and advocacy around responsible AI efforts. We organize these beliefs into four barriers that help explain how RAI artifacts may (inadvertently) reconfigure power relations across civil society, government, and industry.
  arXiv  Detail & Related papers  (2024-08-22T00:14:37Z)
• Application State Management (ASM) in the Modern Web and Mobile Applications: A Comprehensive Review [0.0]
  Review examines the most effective Application State Management (ASM) techniques. Examines popular front end frameworks, highlighting their implementations, benefits, and limitations. Server-side state management techniques, particularly caching, are discussed for their roles in enhancing data retrieval efficiency.
  arXiv  Detail & Related papers  (2024-07-27T18:26:32Z)
• Open Problems in Technical AI Governance [93.89102632003996]
  Technical AI governance refers to technical analysis and tools for supporting the effective governance of AI. This paper is intended as a resource for technical researchers or research funders looking to contribute to AI governance.
  arXiv  Detail & Related papers  (2024-07-20T21:13:56Z)
• Barriers facing e-service adopting and implementation at local environment level in Nigeria [0.0]
  This thesis aims to identify the barriers facing E-Service adoption and implementation at a local environment level. It consists of a large field study in Nigeria (interviews), an online survey of government officials, online focus groups, and analyses government documents and E-Service initiatives.
  arXiv  Detail & Related papers  (2024-04-16T13:15:02Z)
• Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges [55.82853124625841]
  Artificial General Intelligence (AGI) possesses the capacity to comprehend, learn, and execute tasks with human cognitive abilities. This research embarks on an exploration of the opportunities and challenges towards achieving AGI in the context of the Internet of Things. The application spectrum for AGI-infused IoT is broad, encompassing domains ranging from smart grids, residential environments, manufacturing, and transportation to environmental monitoring, agriculture, healthcare, and education.
  arXiv  Detail & Related papers  (2023-09-14T05:43:36Z)
• Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework [68.8204255655161]
  An alternative to the traditional top-down development of public services is co-creation of public services. Co-creation promotes collaboration between stakeholders with the aim to create better public services and achieve public values. We study existing works on the application of Text Analytics (TA) techniques on text data to support public service co-creation.
  arXiv  Detail & Related papers  (2023-05-20T17:34:17Z)
• Data Governance in the Age of Large-Scale Data-Driven Language Technology [79.92626780294258]
  This work proposes an approach to global language data governance that attempts to organize data management amongst stakeholders, values, and rights. The framework we present is a multi-party international governance structure focused on language data, and incorporating technical and organizational tools needed to support its work.
  arXiv  Detail & Related papers  (2022-05-04T00:44:35Z)
• Why and How Governments Should Monitor AI Development [0.22395966459254707]
  We outline a proposal for improving the governance of artificial intelligence (AI) by investing in government capacity to systematically measure and monitor the capabilities and impacts of AI systems. It would also create infrastructure that could rapidly identify potential threats or harms that could occur as a consequence of changes in the AI ecosystem. We discuss this proposal in detail, outlining what specific things governments could focus on measuring and monitoring, and the kinds of benefits this would generate for policymaking.
  arXiv  Detail & Related papers  (2021-08-28T19:41:22Z)
• Factors Enhancing E-Government Service Gaps in a Developing Country Context [0.0]
  The aim of this study was to investigate the contextual factors enhancing e-government service gaps in a developing country. The data was collected through semi-structured interviews from government employees who are involved in the implementation of e-government services in Zimbabwe. This research contributes significantly to the implementation and utilisation of e-government services in Zimbabwe.
  arXiv  Detail & Related papers  (2021-08-22T17:58:31Z)
• Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims [59.64274607533249]
  AI developers need to make verifiable claims to which they can be held accountable. This report suggests various steps that different stakeholders can take to improve the verifiability of claims made about AI systems. We analyze ten mechanisms for this purpose--spanning institutions, software, and hardware--and make recommendations aimed at implementing, exploring, or improving those mechanisms.
  arXiv  Detail & Related papers  (2020-04-15T17:15:35Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.