Academic community's use of university digital library and their searching behaviour

GLOBAL KNOWLEDGE MEMORY AND COMMUNICATION(2024)

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摘要
PurposeThis study aims to explore the evidence-based usage patterns of higher education commission (HEC) subscribed e-journal databases in the university digital library used by the scholarly community and the academics' online searching behaviour at a higher education institution in Pakistan.Design/methodology/approachThe study used an explanatory sequential mixed methods approach. Raw transaction log data were collected for quantitative analysis, and the interview technique was used for qualitative data collection and thematic analysis.FindingsLog analysis revealed that HEC subscribed databases were used significantly, and among those, scholarly databases covering various subjects were more frequently used than subject-specific society-based databases. Furthermore, the users frequently accessed the needed e-journal articles through search engines like Google and Google Scholar, considering them sources of free material instead of the HEC subscribed databases.Practical implicationsIt provides practical implications for examining the evidence-based use patterns of e-journal databases. It suggests the need for improving the access management of HEC databases, keeping in view the usage statistics and the demands of the scholars. The study may also help create market venues for the publishers of scholarly databases by offering attractive and economical packages for researchers of various disciplines in developing and underdeveloped countries. The study results also guide the information professionals to arrange orientation and information literacy programs to improve the searching behaviour of their less frequent users and enhance the utilization of these subscribed databases.Originality/valueThe study is part of a PhD project and, to the best of the authors' knowledge, is the first such work in the context of a developing country like Pakistan.
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关键词
Electronic journals,Log analysis,Data mining,Use patterns,HEC subscribed e-journal databases
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