The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China

By Ya Ping Chang, Dong-Hong Zhu. Computers in Human Behavior, 2012

362 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/71c7640b29bbc90bb5b887e179dbaa9d48004143

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In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Customers' need for uniqueness theory versus brand congruence theory: The impact on satisfaction with social network sites (2020, neutral): “The persistence of an SNS heavily depends on the continued use of its members (Chang and Zhu, 2012).”
How Do AI-driven Chatbots Impact User Experience? Examining Gratifications, Perceived Privacy Risk, Satisfaction, Loyalty, and Continued Use (2020, methodology): “Chang and Zhu (2012) found that user satisfaction positively influenced users’ continu-ance intention on SNSs. Zhao and Lu (2012) supported the strong association between user satisfaction and continuous intentions of using microblogging services.”
An expectation-confirmation model of continuance intention to use mobile instant messaging (2016, background): “Author Discipline area Constructs Findings Chang and Zhu (2012) Social networking sites INT, SAT, CON, perceived bridging social capital, perceived bonding social capital, flow experience Bridging social capital has a significant effect on users’ SAT and INT, but bonding social capital has none.”
Wearable technologies: The role of usefulness and visibility in smartwatch adoption (2016, background): “Additionally, age and gender have been shown to relate to technology usage and represent common control variables in related research (Chang & Zhu, 2012; Correa, Hinsley, & De Zuniga, 2010).”
Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization (2014, result): “This finding is consistent with prior studies for online services and mobile advertising (Shin, Choi, & Shin, 2011; Chang & Zhu, 2012).”