巴基斯坦图书馆和信息科学专业人员多任务信息行为的预测因素

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Information Discovery and Delivery Pub Date : 2023-01-11 DOI:10.1108/idd-03-2021-0026
N. Butt, N. Warraich
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引用次数: 0

摘要

在技术驱动的信息环境中,多任务处理现象非常普遍。人们从事多任务处理信息和处理个人和专业信息任务。本研究旨在探讨巴基斯坦图书馆情报学专业人员多任务信息行为(MIB)的外部预测因素。设计/方法/方法本研究是基于问卷调查的定量研究,数据通过谷歌Form收集;这个链接通过电子邮件和WhatsApp分享,以获得最大的回应。抽样包括在巴基斯坦开伯尔-普赫图赫瓦省高等教育委员会认可的大学工作的美国专业人员。我们共收到来自肃贪会41所大学的126份回应。采用SPSS统计软件进行spearson相关和回归分析。研究结果表明,时间压力(TP)是多任务处理的一个很好的预测指标,因为当专业人士接到有截止日期的任务时,他们会试图一次完成多项任务。因此,TP是人类MIB的一个预测因子。本研究还发现,工作环境对MIB的预测作用不显著,而多种信息资源的使用对MIB的预测作用较弱。值得注意的是,个体协变量不是多任务信息的预测因子。然而,在所有预测MIB的情境和个体因素中,TP是最显著的预测因子。研究局限/启示这条研究路线意义重大,因为MIB是LIS专业人员中人类信息行为的一个新维度。研究结果有助于LIS专业人员通过合理化重要预测因子来提高他们的工作效率和绩效。原创性/价值据作者所知,没有这样的研究在美国专业人士中突出了MIB。因此,本研究将重点关注外部因素对LIS专业人员MIB的影响。由于本研究描述了图书馆专业人员的行为,本研究将有助于图书馆与信息管理的文献。
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Examining the predictors of multitasking information behavior among library and information science professionals in Pakistan
Purpose The multitasking phenomenon has been prevailing in the technology-driven information environment. People are engaged in multitasking to process information and deal with personal and professional information tasks. This study aims to explore the external predictors of multitasking information behavior (MIB) of library and information science (LIS) professionals from Pakistan. Design/methodology/approach This is a quantitative study based on a questionnaire survey, and data was collected through Google Form; the link was shared via e-mail and WhatsApp to get maximum responses. The sampling includes the LIS professionals working in Higher Education Commission-recognized universities of Khyber Pakhtunkhwa (KPK), Pakistan. A total of 126 responses were received from 41 universities of KPK. Findings Pearson correlation and regression were applied by using SPSS for data analysis. The findings revealed that time pressure (TP) is a good predictor of multitasking because when professionals got tasks with deadlines, they try to perform multiple activities at a time. Therefore, TP is a predictor of human MIB. This study also revealed that the work environment is a less significant predictor of MIB, and the use of multiple information resources is a weak predictor of MIB. It is noted that individual covariates were not predictors of the multitasking information. However, TP was the most significant predictor among all the contextual and individual factors predicting MIB. Research limitations/implications This research line is significant because MIB is a new dimension of human information behavior among LIS professionals. The findings are beneficial for LIS professionals to increase their work productivity and performance by rationalizing the significant predictors. Originality/value To the best of the authors’ knowledge, no such study is available that highlighted the MIB among LIS professionals. Therefore, this study will highlight external factors’ effects on LIS professionals’ MIB. This study will contribute to the literature on libraries and information management as this study describes the LIS professionals’ behavior.
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来源期刊
Information Discovery and Delivery
Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
5.40
自引率
4.80%
发文量
21
期刊介绍: Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.
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