Digital library engagement is the extensive use of digital library features and services. Contrary to the traditional concept of usage, DL engagement evaluates the use of an information system based on multiple dimensions; affective, cognitive, and behavioural. Presently, there is scarce evidence and research on the level of DL engagement. Lack of such evidence caused under-utilization of DL resources. Therefore, the purpose of this study is to investigate the level of DL engagement in the context of Malaysian research universities. A quantitative study was conducted; an instrument was distributed to postgraduate students at five Malaysian research universities. A total of 492 responses were recorded and descriptively analyses using Statistical Package for Social Sciences version 24. Frequency, Independent sample t-test, and Analysis of Variance (ANOVA) were performed to identify significance difference and mean distribution of data among the participating universities. Results show that respondent’s age and research domain showed a significant effect on DL engagement, while gender, study mode, level of study, semester, and the university did not show any significant effect on DL engagement.

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Digital competency is the ability of an individual to successfully navigate through the abundance of digital information available on the Internet. Coincidently, the rise of digital competency leads to the significant importance of referencing competency, which is the knowledge, skills, and ability to properly manage digital resources. However, much focus has been given towards competency assessment rather than studying the determinants and impacts of referencing competency. Additionally, fewer studies have focused on the influence of demographic profiles on referencing competency and its subsequent impacts. Therefore, the purpose of this study is to investigate the interrelationship between demographic profiles, referencing competency, and individual performance in the context of Malaysia. To answer the research question, a quantitative study was conducted. The instrument was developed, pre-test, and pilot test, before actual data collection. A total of 394 valid responses was received and analysed using Statistical Package for Social Sciences version 26.

<p class="0abstract"><span lang="EN-US">The rise of novel coronavirus 2019 has shifted the roles of education industry. Face-to-face have become a distant memory; students and educators are now heavily relying on the digital communication. Application such as Google Meet, Webex, Webinar, Stream Yard, Zoom, and many more have become the new norm among educators and students. However, the sudden dependency on the digital technologies raises a question on the user intention to use this new digital technology. Therefore, the objective of this study is to determine the role of self-efficacy and domain knowledge towards user behavioral intention to use online distance learning. An instrument was developed by adopting to previous instruments and was analyze using Statistical Package for Social Science and SmartPLS for inferential analysis. Findings shows that the exogenous variables are capable to explained between 47.8% to 68.1% of the endogenous variables.</span></p>

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