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Technostress on Academic Librarians Working in Digital Scholarship During the Pandemic in Indonesia

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From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries (ICADL 2022)

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Abstract

Technostress can arise when individuals use information and communications technology (ICT) in their work, and academic librarians who work in digital scholarship are especially susceptible. Librarians use ICT to provide information to the academic community; one of their roles is to disseminate research results from researchers, lecturers and students. The importance of digital scholarship has increased, mainly due to a shift towards digital teaching, learning and research in academic institutions and a transition from face-to-face to virtual meetings. This study aims to measure the technostress level across six variables and investigates the significant differences in the technostress levels of academic librarians during the pandemic based on demographic data. This study uses a quantitative approach; its research subjects are 92 academic librarians in Indonesia, from whom data was collected through questionnaires. The results reveal that academic librarians tended to experience low technostress during the pandemic. This research is helpful as a reference for future studies on technostress and for reviewing policies related to digital scholarship that may be implemented in academic libraries.

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Acknowledgements

The authors thank the anonymous reviewers for their constructive comments to improve the article. This work was supported in part by the PUTI Q2 contract NKB-1201/UN2.RST/HKP.05.00/2022. Any opinions, findings, and conclusions described here are the authors’ and do not necessarily reflect those of the sponsors.

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Nadyasari, N.F., Rahmi, Joho, H. (2022). Technostress on Academic Librarians Working in Digital Scholarship During the Pandemic in Indonesia. In: Tseng, YH., Katsurai, M., Nguyen, H.N. (eds) From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries. ICADL 2022. Lecture Notes in Computer Science, vol 13636. Springer, Cham. https://doi.org/10.1007/978-3-031-21756-2_22

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  • DOI: https://doi.org/10.1007/978-3-031-21756-2_22

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