Md Nazirul Islam Sarker, M. A. Hossin, Adasa Nkrumah Kofi Frimpong, Yin Xiaohua
{"title":"运用大数据推进电子政务信息资源管理","authors":"Md Nazirul Islam Sarker, M. A. Hossin, Adasa Nkrumah Kofi Frimpong, Yin Xiaohua","doi":"10.1145/3277139.3277155","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":272703,"journal":{"name":"Proceedings of the 1st International Conference on Information Management and Management Science","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Promoting information resource management for e-government through big data approach\",\"authors\":\"Md Nazirul Islam Sarker, M. A. Hossin, Adasa Nkrumah Kofi Frimpong, Yin Xiaohua\",\"doi\":\"10.1145/3277139.3277155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":272703,\"journal\":{\"name\":\"Proceedings of the 1st International Conference on Information Management and Management Science\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st International Conference on Information Management and Management Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3277139.3277155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Conference on Information Management and Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3277139.3277155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.