Exploring Satisfaction with and Trust in Social Networking Sites through the Lens of Fan Pages: Uncertainty Reduction and General Systems Theory Perspective

被引：0

作者：

Shin, Soo Il ^{[1
]}

Lee, Kyung Young ^{[2
]}

Lee, Kang Bok ^{[3
]}

Hall, Dianne J. ^{[3
]}

机构：

[1] Univ Wisconsin, Green Bay, WI 54302 USA

[2] Dalhousie Univ, Halifax, NS, Canada

[3] Auburn Univ, Auburn, AL 36849 USA

来源：

AMCIS 2017 PROCEEDINGS | 2017年

关键词：

Uncertainty reduction theory; general systems theory; satisfaction; trust; social networking sites; seemingly unrelated regression model; fan page; INFORMATION-SYSTEMS; MEDIA; COMMUNICATION; CONTINUANCE; ANTECEDENTS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The purpose of this study is to examine social networking sites (SNS) users' overall satisfaction with and trust in SNS, as related to their activities of visiting fan pages. We employ two theories uncertainty reduction theory (URT) and general systems theory (GST) to examine antecedents affecting overall satisfaction with and trust in SNS. Using a web -based survey, we analyzed 200 SNS users who follow at least one company's fan page, and utilized seemingly unrelated regression (SUR) models to empirically test our hypotheses. Our findings indicate that uncertainty reduction strategies supported by URT are significantly associated with perceived usefulness of companies' posts in their fan pages. In turn, perceived usefulness of those posts promotes more visits to the fan page. Finally, users' perceived usefulness of fan page posts eventually accounts for the overall satisfaction with and trust in SNS. The implications and limitations are discussed at the end of this study.

引用

页数：10

共 36 条

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