Abstract
Novel Coronavirus 2019 or COVID-19 has shifted the traditional face-to-face interaction into digital interaction, whereby people are meeting through online; education is no longer confined within the four walls of the classroom. Subsequently, this transformation also affected the service delivery provided by the library. Recent studies show that the usage of digital libraries increases in the aftermath of COVID-19. However, there is currently scarce literature on the factors that drive the increase of usage and its impact on users’ satisfaction behavior. Therefore, the purpose of this study is twofold; first, to investigate the level of digital libraries satisfaction in the aftermath of COVID-19 and second, to examine the factors that influence user’ satisfaction behavior on digital libraries. A quantitative research methodology was adopted; the instrument was developed by adopting previous research studies. The instrument was pre-tested, expert reviews, pilot-tested before actual data collection. Data was collected from one of the universities on the east coast of Malaysia. A total of 358 valid responses were received; responses were performed for data cleaning and coding. The findings were then analyzed using Statistical Package for Social Sciences (SPSS) version 26 and were analyzed based on descriptive and inferential analysis. The result shows that two hypotheses were accepted; digital resources quality and digital library affinity were found to have a significant and positive relationship with user’s satisfaction behavior, while digital library generic usability did not have a substantial and positive relationship with the user’s satisfaction behavior.
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Rosman, M.R.M., Aziz, M.A.A., Alimin, N.A., Azman, N.A., Ramli, F.N., Shuhaimi, F.B. (2022). What Drives Digital Library User’s Satisfaction Behavior? Investigating the Level and Its Determinants. In: Maleh, Y., Alazab, M., Gherabi, N., Tawalbeh, L., Abd El-Latif, A.A. (eds) Advances in Information, Communication and Cybersecurity. ICI2C 2021. Lecture Notes in Networks and Systems, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-030-91738-8_30
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