Back to Search Start Over

The Influence of Social Isolation, Technostress, and Personality on the Acceptance of Online Meeting Platforms during the COVID-19 Pandemic.

Authors :
Wu, Rong
Yu, Zhonggen
Source :
International Journal of Human-Computer Interaction. Oct2023, Vol. 39 Issue 17, p3388-3405. 18p. 1 Color Photograph, 3 Diagrams, 6 Charts.
Publication Year :
2023

Abstract

The effectiveness of online meeting platforms is highly associated with users' acceptance. Nevertheless, few studies have been committed to the roles of social isolation, technostress, and personality in online meeting platform acceptance. This study aimed to investigate the influence of social isolation, technostress, and personality on users' acceptance of online meeting platforms within the technology acceptance model (TAM) including perceived ease of use, perceived usefulness, attitude towards technology use, and behavioral intention. A total of 975 responses were collected via an online survey. The results revealed that there were positive relationships among four core constructs. But more importantly, social isolation negatively influenced users' favorable attitudes towards online meeting platforms, and technostress negatively influenced the perception of the usefulness of online meeting platforms. Users with different personalities had different degrees of acceptance of online meeting platforms. The study provides a deep insight into influencing factors in users' acceptance of online meeting platforms during the rampant COVID-19 pandemic. This study is, therefore, useful for designers and practitioners to optimize the online meeting platforms. In addition, this study adopted TAM to investigate users' acceptance of online meeting platforms, supporting TAM's reliability and validity in the online meeting platform-based learning context. Future studies could extend TAM by including specific sociocultural and psychological constructs stemming from the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10447318
Volume :
39
Issue :
17
Database :
Academic Search Index
Journal :
International Journal of Human-Computer Interaction
Publication Type :
Academic Journal
Accession number :
172333363
Full Text :
https://doi.org/10.1080/10447318.2022.2097779