Significant and hierarchy of variables affecting online knowledge-sharing using an integrated logit-ISM analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-022-11173-7.pdf
Reference118 articles.
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2. Ahmed, Y. A., Ahmad, M. N., Ahmad, N., & Zakaria, N. H. (2019). Social media for knowledge-sharing: A systematic literature review. Telematics and Informatics, 37, 72–112. https://doi.org/10.1016/j.tele.2018.01.015
3. Akosile, A., & Olatokun, W. (2020). Factors influencing knowledge sharing among academics in Bowen University, Nigeria. Journal of Librarianship and Information Science, 52(2), 410–427. https://doi.org/10.1177/0961000618820926
4. Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using machine learning algorithms to predict people’s intention to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach. JMIR Medical Education, 7(1), e24032. https://doi.org/10.2196/24032
5. Al-Emran, M., & Teo, T. (2020). Do knowledge acquisition and knowledge sharing really affect e-learning adoption? An empirical study. Education and Information Technologies, 25(3), 1983–1998. https://doi.org/10.1007/s10639-019-10062-w
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