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The comparison study on employees’ adoption of public and enterprise social networks
Author(s) -
Jiayin Qi,
Lianren Wu,
Miaomiao Xiong,
Shuaibo Hu
Publication year - 2021
Publication title -
human systems management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 28
eISSN - 1875-8703
pISSN - 0167-2533
DOI - 10.3233/hsm-190866
Subject(s) - context (archaeology) , social network (sociolinguistics) , structural equation modeling , perspective (graphical) , empirical research , knowledge management , psychology , computer science , public relations , social media , world wide web , artificial intelligence , political science , paleontology , philosophy , epistemology , machine learning , biology
BACKGROUND: The social network services (SNSs), such as Facebook, Twitter, Yammer and Slack etc., allow users to post short messages on topics ranging from personal hobbies and interests to working messages and knowledge. However, the answers to how use context and participation behavior pattern influence individual’s engagement in social network services still remain vague. OBJECTIVE: This study aims to find out the adoption mechanism in two contexts – Enterprise social network services (ESNs) and Public social network services (PSNs). METHODS: This paper adopts the methods of literature research, questionnaire survey and statistical analysis. The research model was established by structural equation and analyzed by AMOS software. RESULTS: Our empirical results show that the use of social network platforms is to a certain extent embedded both in the use context (public or enterprise) and in different kinds of participation modes (original participation or secondary participation). For both ESNs and PSNs, perceived playfulness is the most important adoption factor in both participations, while perceived usefulness just works for the original participation. CONCLUSIONS: Compared with ESNs that are weighted in favor of the utilitarian-oriented perspective, PSNs are inclined to be more hedonic-oriented. The findings offer us novel insights on understanding and applying social network services.

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