Exploring the Potential of Big Data Analytics in Improving Library Management in Indonesia: Challenges, Opportunities, and Best Practice

Nurul Islam, Khairul Islam, Monulirul Islam
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引用次数: 1

Abstract

Abstract This column aims to explore the potential of big data analytics in improving library management in Indonesia and identify the challenges, opportunities, and best practices for libraries when applying big data analytics. Using of literature review of published studies, this column examines the current state of big data analytics in library management in Indonesia and provides recommendations, including a SWOT analysis, for implementing big data analytics in operations. It also highlighted several challenges such as limited resources, limited access to technology and digital literacy among librarians, and limited data security measures which could put sensitive patron data at risk.
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探索大数据分析在改善印尼图书馆管理方面的潜力:挑战、机遇和最佳实践
摘要本专栏旨在探索大数据分析在改善印度尼西亚图书馆管理方面的潜力,并确定图书馆在应用大数据分析时面临的挑战、机遇和最佳实践。本专栏利用已发表研究的文献综述,考察了印尼图书馆管理中大数据分析的现状,并为在运营中实施大数据分析提供了建议,包括SWOT分析。它还强调了一些挑战,如资源有限、图书馆员获得技术和数字素养的机会有限,以及数据安全措施有限,这些措施可能会使敏感的赞助人数据面临风险。
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来源期刊
Internet Reference Services Quarterly
Internet Reference Services Quarterly Social Sciences-Library and Information Sciences
CiteScore
2.40
自引率
0.00%
发文量
13
期刊介绍: Internet Reference Services Quarterly tackles the tough job of keeping librarians up to date with the latest developments in Internet referencing and librarianship. This peer-reviewed quarterly journal is designed to function as a comprehensive information source librarians can turn to and count on for keeping up-to-date on emerging technological innovations, while emphasizing theoretical, research, and practical applications of Internet-related information services, sources, and resources. Librarians from any size or type of library in any discipline get the knowledge needed on how to best improve service through one of the most powerful reference tools available on the Internet.
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