How Does Cloud Computing Adoption Accelerate Education? – Enhancing Academic Results by Integrating Knowledge Management Pre and Post Pandemic.
Saved in:
| Title: | How Does Cloud Computing Adoption Accelerate Education? – Enhancing Academic Results by Integrating Knowledge Management Pre and Post Pandemic. |
|---|---|
| Authors: | Sharma, Mahak (AUTHOR), Vadalkar, Suniti (AUTHOR), Singh, Anupama (AUTHOR), Chavan, Gitesh (AUTHOR), Tsagarakis, Konstantinos P. (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Sep2025, Vol. 41 Issue 17, p11095-11115. 21p. |
| Subjects: | Cloud computing, Knowledge management, Academic achievement, Learning, Universities & colleges, COVID-19 pandemic, Technology Acceptance Model |
| Geographic Terms: | India |
| Abstract: | This research seeks to identify critical factors that impact adoption of cloud services in higher education institutes (HEIs) and provide a comparative analysis between pre and post COVID scenarios. To formulate a more comprehensive adoption model for cloud services, authors have amalgamated the Technology Acceptance Model with categorical variables and conducted a comparative analysis for Tier 1 and Tier 2 cities in India for both periods (i.e., pre and during COVID). Data was obtained from 867 students studying in 25 different Indian universities. The results show that knowledge sharing, security, and privacy are associated with perceived usefulness. Results indicate that cloud computing adoption does lead to innovation, which in turn, improves the academic performance of HEIs. We believe that the findings of our study provide suggestive evidence acknowledging the benefits of cloud computing adoption in enhancing academic performance in HEIs, especially in the context of a developing country. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | This research seeks to identify critical factors that impact adoption of cloud services in higher education institutes (HEIs) and provide a comparative analysis between pre and post COVID scenarios. To formulate a more comprehensive adoption model for cloud services, authors have amalgamated the Technology Acceptance Model with categorical variables and conducted a comparative analysis for Tier 1 and Tier 2 cities in India for both periods (i.e., pre and during COVID). Data was obtained from 867 students studying in 25 different Indian universities. The results show that knowledge sharing, security, and privacy are associated with perceived usefulness. Results indicate that cloud computing adoption does lead to innovation, which in turn, improves the academic performance of HEIs. We believe that the findings of our study provide suggestive evidence acknowledging the benefits of cloud computing adoption in enhancing academic performance in HEIs, especially in the context of a developing country. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 10447318 |
| DOI: | 10.1080/10447318.2024.2440673 |
