运用大数据推进电子政务信息资源管理

Md Nazirul Islam Sarker, M. A. Hossin, Adasa Nkrumah Kofi Frimpong, Yin Xiaohua
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引用次数: 15

摘要

大数据具有利用现代分析技术将传统政府系统转变为数据驱动的电子政务系统的潜力。本文旨在探讨大数据在保障电子政务中的适用性。广泛的文献综述已经使用不同级别的量表和指标进行管理。文献调查显示,目前已经建立了许多模型来解释电子政务,但还缺乏关于大数据对电子政务适用性的系统研究。本文认为,通过电子服务、电子管理、电子民主和电子商务,大数据可以帮助政府的信息资源管理系统提高透明度,减少腐败,加快公共服务的提供,减少公共纠纷,提供方便的公共服务,减少错误和减少贫困。本文进一步认为,大数据在向公民提供具有成本效益的服务、政策一致性、获得公共服务、参与和参与、代表、获取信息、开放政府和腐败控制方面发挥着重要作用。这一发现表明,大数据技术应该通过最小化技术挑战和威胁、确保公民信息隐私、最大化数据利用和提高信息管理能力,在每个公共部门组织中实施。
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Promoting information resource management for e-government through big data approach
Big data has a potential to transform traditional government system to data-driven e-government system by utilizing modern analytical techniques. The aim of this article is to explore the applicability of big data for ensuring e-government. An extensive literature review has been administered using various levels of scales and indicators. Literature survey shows that a number of models have been developed to explain e-governance but systematic research on the suitability of big data for e-government is still lacking. This article argues that big data can help the information resource management system of the government for improving transparency and reducing corruption, fastest public service delivery, reducing public hassle, providing easy access to public services, reducing error and reducing poverty through e-services, e-management, e-democracy, and e-commerce. This article further argues that big data has a significant role in cost-effective service delivery to citizens, policy coherence, access to public services, participation and engagement, representation, access to information, open government and corruption control. The finding suggests that big data technologies should be implemented in every public-sector organization by minimizing technological challenges and threats, ensuring the privacy of citizen's information, maximizing utilization of data and promoting information management capacity.
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