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Modeling of Causes of Sina Weibo Continuance Intention with Mediation of Gender Effects

Overview of attention for article published in Frontiers in Psychology, April 2016
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4 X users

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15 Dimensions

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46 Mendeley
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Title
Modeling of Causes of Sina Weibo Continuance Intention with Mediation of Gender Effects
Published in
Frontiers in Psychology, April 2016
DOI 10.3389/fpsyg.2016.00619
Pubmed ID
Authors

Lingyu Wang, Wenguo Zhao, Xianghong Sun, Rui Zheng, Weina Qu

Abstract

Sina Weibo is a Twitter-like social networking site and one of the most popular microblogging services in China. This study aims to examine the factors that influence the intentions of users to continue using this site. This paper synthesizes the expectation confirmation model, constructs of habit and perceived critical mass, and the gender effect to construct a theoretical model to explain and predict these user intentions. The model is then tested via an online survey of 498 Sina Weibo users and partial least squares (PLS) modeling. The results indicate that the continuance intention of users is directly predicted by their perceived usefulness of the service (β = 0.299), their satisfaction (β = 0.208), and their habits (β = 0.389), which jointly explain 65.9% of the variance in intention. In addition to the effects of these predictors on the continuance intentions of Sina Weibo users, an assessment of the moderating effect of gender suggests that habit plays a more important role for females than for males in continuance intention, but perceived usefulness seems to be more important for males than for females. The implications of these findings are then discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Student > Master 7 15%
Lecturer 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 9 20%
Unknown 13 28%
Readers by discipline Count As %
Social Sciences 9 20%
Business, Management and Accounting 8 17%
Computer Science 3 7%
Psychology 3 7%
Economics, Econometrics and Finance 2 4%
Other 5 11%
Unknown 16 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 May 2016.
All research outputs
#14,257,527
of 22,862,742 outputs
Outputs from Frontiers in Psychology
#15,135
of 29,915 outputs
Outputs of similar age
#159,955
of 299,059 outputs
Outputs of similar age from Frontiers in Psychology
#251
of 421 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,915 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 299,059 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 421 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.