Student use of digital libraries during COVID-19: structural equation modelling in Indonesian and Malaysian contexts

Purpose This paper aims to examine the determinants that drive digital library use by university students in Indonesia and Malaysia during COVID-19. A proposed model based on the unified theory of acceptance and use of technology model-2 was implemented. Design/methodology/approach A pilot study was conducted prior to the main data collection to examine the reliability of the instrument. For the structural model assessment, 1,168 responses were analysed through partial least square structural equation modelling (PLS-SEM) and importance and performance analysis (IPMA). A t-test was also conducted to support the main findings. Findings Most hypotheses are confirmed by the significant results reported through the PLS-SEM. The strongest determinant of behavioural intention is habits. Digital library use is most significantly predicted by behavioural intention. Through IPMA, habits are reported to be the most important determinant for behavioural intention. Performance expectancy obtains the highest performance in the IPMA procedure. Behavioural intention and digital library use are significantly different based on the respondents’ location. Originality/value This study addresses the research gap (comparative studies between two countries) by evaluating digital library use among students in two universities in Indonesia and Malaysia during COVID-19. Findings could facilitate policymakers with insights into digital library use determinants and initiate effective and efficient policies to improve digital library use, especially during school closures due to certain situations or conditions.