DocumentCode :
3092399
Title :
Empirical study on users´ participation behavior in SNS based on theory of perceived risks and involvement degree
Author :
Zhang Song ; Chen Hao ; Zheng Daqing
Author_Institution :
Int. Bus. Sch., Qingdao Univ., Qingdao, China
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
424
Lastpage :
429
Abstract :
Participation actively is the key to the development of SNS. Based on the theory of perceived risk and involvement, the research model of user´s participation behavior in SNS was built. Empirical data was collected from six domestic popular SNS website in China, and analyzed through structural equation model. The results show that trust and higher degree of involvement are contributed to users´ participation. Although the influence of perceived risk on users´ participation is statistically insignificant, it has the negative correlation with trust. Two types of antecedent factors of involvement degree, that is relational embeddedness and flow experience, have positive effects. Therefore, providing individualization services of relationship maintenance and special entertainment experiences will help encouraging users to involve in SNS. And actively constructing and maintaining trust environment is also the important approach for SNS operators to attract more users to SNS.
Keywords :
behavioural sciences computing; social networking (online); statistical analysis; SNS; flow experience degree; involvement degree; perceived risks theory; relational embeddedness degree; relationship maintenance experience; social networking service; special entertainment experience; structural equation model; user participation behavior; Cognition; Communities; Context; Entertainment industry; Privacy; Psychology; Social network services; Empirical Study; Involvement; Participation; Perceived risk; Social Networking Services (SNS); Trust;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2013 10th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4434-0
Type :
conf
DOI :
10.1109/ICSSSM.2013.6602620
Filename :
6602620
Link To Document :
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