Effects of big data analytics on university libraries: A systematic literature review of impact factor articles

IF 1.4 4区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Librarianship and Information Science Pub Date : 2024-06-25 DOI:10.1177/09610006241259495

Khurram Shahzad, Shakeel Ahmad Khan, Abid Iqbal

{"title":"Effects of big data analytics on university libraries: A systematic literature review of impact factor articles","authors":"Khurram Shahzad, Shakeel Ahmad Khan, Abid Iqbal","doi":"10.1177/09610006241259495","DOIUrl":null,"url":null,"abstract":"The study aimed to identify the effects of big data analytics (BDA) on university libraries, to reveal the challenges associated with the adoption of BDA, and to develop a framework for the implementation of BDA in university libraries. The research methodology of “Preferred Reporting Items for the Systematic Review and Meta-Analysis” (PRISMA) was applied to carry out the study. The 26 most relevant impact factor articles explored through world’s renowned 18 databases were selected to carry out the study. Findings manifested that big data analytics was a game changer for university libraries. BDA transformed library services, and enhanced information services. The study also revealed that awareness and expertise, technical issues, and data integrity and security were the major challenges that causes barriers for the adoption of BDA based services in university libraries. Based on the study’s findings, a framework has been developed for the adoption of big data analytics in university libraries. It is the first systematic review on the effects of big data analytics on university libraries based upon the articles published in worldwide impact factor journals. It has provided theoretical, practical, and social implications through the development of framework to adopt big data analytics in university libraries and to cope with associated challenges efficiently.","PeriodicalId":47004,"journal":{"name":"Journal of Librarianship and Information Science","volume":"76 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Librarianship and Information Science","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/09610006241259495","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}

引用次数: 0

Abstract

The study aimed to identify the effects of big data analytics (BDA) on university libraries, to reveal the challenges associated with the adoption of BDA, and to develop a framework for the implementation of BDA in university libraries. The research methodology of “Preferred Reporting Items for the Systematic Review and Meta-Analysis” (PRISMA) was applied to carry out the study. The 26 most relevant impact factor articles explored through world’s renowned 18 databases were selected to carry out the study. Findings manifested that big data analytics was a game changer for university libraries. BDA transformed library services, and enhanced information services. The study also revealed that awareness and expertise, technical issues, and data integrity and security were the major challenges that causes barriers for the adoption of BDA based services in university libraries. Based on the study’s findings, a framework has been developed for the adoption of big data analytics in university libraries. It is the first systematic review on the effects of big data analytics on university libraries based upon the articles published in worldwide impact factor journals. It has provided theoretical, practical, and social implications through the development of framework to adopt big data analytics in university libraries and to cope with associated challenges efficiently.

查看原文本刊更多论文

大数据分析对大学图书馆的影响：影响因子文章的系统文献综述

本研究旨在确定大数据分析（BDA）对大学图书馆的影响，揭示与采用 BDA 相关的挑战，并制定在大学图书馆实施 BDA 的框架。本研究采用了 "系统综述和元分析首选报告项目"（PRISMA）的研究方法。研究选取了世界著名的 18 个数据库中影响因子最高的 26 篇文章进行研究。研究结果表明，大数据分析改变了大学图书馆的游戏规则。BDA 改变了图书馆服务，增强了信息服务。研究还显示，意识和专业知识、技术问题以及数据完整性和安全性是导致大学图书馆采用基于 BDA 服务的障碍的主要挑战。根据研究结果，制定了大学图书馆采用大数据分析的框架。这是首次根据全球影响因子期刊上发表的文章，对大数据分析对大学图书馆的影响进行的系统综述。该研究通过制定在大学图书馆采用大数据分析的框架，为有效应对相关挑战提供了理论、实践和社会意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Librarianship and Information Science INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

4.70

自引率

11.80%

发文量

期刊介绍： Journal of Librarianship and Information Science is the peer-reviewed international quarterly journal for librarians, information scientists, specialists, managers and educators interested in keeping up to date with the most recent issues and developments in the field. The Journal provides a forumfor the publication of research and practical developments as well as for discussion papers and viewpoints on topical concerns in a profession facing many challenges.