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Perceived overload in social networking sites affect the users’ passive usage intention: A cognition-affect-conation approach

Authors :
Yang Tian
Tak Jie Chan
Miew Luan Ng
Huan Na Liu
Source :
International Journal of Data and Network Science, Vol 8, Iss 4, Pp 2509-2518 (2024)
Publication Year :
2024
Publisher :
Growing Science, 2024.

Abstract

Social Networking Sites (SNS) play an important role in human psychological well-being. This research explores the effects of perceived overload on the passive usage intention of SNS among Malaysian users through SNS fatigue and anxiety by employing a Cognition-Affect-Conation (C-A-C) model. Cross-sectional survey research was carried out and the research acquired responses from 383 SNS users. Data was analyzed through PLS-SEM. The outcomes noted that perceived cognitive overload, perceived information overload, SNS fatigue, and anxiety are positive antecedents of SNS passive usage intention. The research brings valuable insights into the formation of passive usage intention of SNS and provides implications for service providers and users.

Details

Language :
English
ISSN :
25618148 and 25618156
Volume :
8
Issue :
4
Database :
Directory of Open Access Journals
Journal :
International Journal of Data and Network Science
Publication Type :
Academic Journal
Accession number :
edsdoj.03509b77db21431b93583394ac804d5d
Document Type :
article
Full Text :
https://doi.org/10.5267/j.ijdns.2024.5.007