信息过载
科技压力
构造(python库)
社会化媒体
压力源
心理学
透视图(图形)
计算机科学
社会心理学
万维网
临床心理学
人工智能
精神科
程序设计语言
作者
Shaoxiong Fu,Hongxiu Li,Liu Yong,Henri Pirkkalainen,Markus Salo
标识
DOI:10.1016/j.ipm.2020.102307
摘要
While users’ discontinuance of use has posed a challenge for social media in recent years, there is a paucity of knowledge on the relationships between different dimensions of overload and how overload adversely affects users’ social media discontinuance behaviors. To address this knowledge gap, this study employed the stressor–strain–outcome (SSO) framework to explain social media discontinuance behaviors from an overload perspective. It also conceptualized social media overload as a multidimensional construct consisting of system feature overload, information overload, and social overload. The proposed research model was empirically validated via 412 valid questionnaire responses collected from Facebook users. Our results indicated that the three types of overload are interconnected through system feature overload. System feature overload, information overload, and social overload engender user exhaustion, which in turn leads to users’ discontinued usage of social media. This study extends current technostress research by demonstrating the value of the SSO perspective in explaining users’ social media discontinuance.
科研通智能强力驱动
Strongly Powered by AbleSci AI