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Social networking services (SNSs) such as Facebook have become well-established online services that facilitate the building and maintenance of social relations among people who share connections (Boyd & Ellison, 2008). In the past decade, the viral growth of SNSs has caused them to penetrate most countries in the world. Despite the fact that China owns approximately 600 million users–one of the largest user base in the world–at the end of 2014 (China Internet Network Information Center, 2015), little is known about SNS users’ participation in the specific context of China for which the implications of Facebook may not stand. According to the 33rd Statistical Report on Internet Development (China Internet Network Information Center, 2014), SNS users accounted for more than half of all Chinese netizens; nevertheless, nearly one-fifth decreased their use of SNSs compared with the prior year. As SNS providers can only survive and flourish if individuals actively use their services (Trusov, Bodapati, & Bucklin, 2010), the trends associated with users’ continuance intention have attracted increasingly attention from both providers in China and researchers all over the world (e.g., Sun, Liu, Peng, Dong, & Barnes, 2014). Therefore, it is important to explore the underlying mechanism that leads to Chinese users’ continuance intention, and thus provide a reference for academics and Chinese SNS providers.
Previous studies on users’ continuance intention focus mainly on individual utility and cognitive factors (Kang, Hong, & Lee, 2009; Kang & Lee, 2010; Shi, Lee, Cheung, & Chen, 2010; Wang, Xu, & Chan, 2008) regardless of the social nature of SNSs (Cheung & Lee, 2010; Kim, Shin, & Kim, 2011). However, “much of human behavior is not best characterized by an individual acting in isolation (Bagozzi, 2007 p. 247);” instead, people act jointly with others, in response to social pressure or as members of groups on SNSs (Cheung & Lee, 2010). Specifically, in collectivist cultures such as China, people tend to behave the same or similar way as their peers (Xu, Yan, & Zheng, 2008). Thus, it calls for an examination of Chinese users’ continuance intention towards SNSs from a social perspective. Several researchers have investigated social factors such as subjective norms (Al-Debei, Al-Lozi, & Papazafeiropoulou, 2013) and critical mass (Chen et al., 2012) that can affect continuance intention. Although the findings of these studies both show that social factors matter, there is a paucity of research that provides a comprehensive account of how social influence impacts continuance intention. To fill this research gap, we draw on social influence theory (Kelman, 1958, 1974) to provide a systematic explanation of social influence on users’ continuance intention towards SNSs, as social influence theory has been shown to be useful for interpreting collective behavior in online social phenomena (Bagozzi & Dholakia, 2002; Dholakia, Bagozzi, & Pearo, 2004). For instance, Chang et al. (2014) has verified the impact of social influence on continuance intention to play online games.
In addition, we posit that sociability (Li, 2011) and social overload (Maier, Laumer, Eckhardt, & Weitzel, 2015) serve as the primary mediators that translate social influence into continuance intention. On the one hand, social influence causes users to benefit from the resulting sociability. This makes it likely that they will intend to continue using SNSs. On the other hand, social influence can draw users into exhaustion by social overload that results from dealing with too many social demands from other members. Users’ continuance intention may therefore decrease. Accordingly, sociability and social overload may together explain the diversity of continuance intention between individuals in the same social environment.