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Cited by 665

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption

Shin, Dong-Hee·2010·Interacting with Computers

Abstract

Social network services (SNS) focus on building online communities of people who share interests and/or activities, or who are interested in exploring the interests and activities of others. This study examines security, trust, and privacy concerns with regard to social networking Websites among consumers using both reliable scales and measures. It proposes an SNS acceptance model by integrating cognitive as well as affective attitudes as primary influencing factors, which are driven by underlying beliefs, perceived security, perceived privacy, trust, attitude, and intention. Results from a survey of SNS users validate that the proposed theoretical model explains and predicts user acceptance of SNS substantially well. The model shows excellent measurement properties and establishes perceived privacy and perceived security of SNS as distinct constructs. The finding also reveals that perceived security moderates the effect of perceived privacy on trust. Based on the results of this study, practical implications for marketing strategies in SNS markets and theoretical implications are recommended accordingly.

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Crossref · 10.1016/j.intcom.2010.05.001

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Metadata

Authors
Shin, D.-H.
Venue
Interacting with Computers
Published
2010-09
Volume
22
Issue
5
Pages
428-438
ISSN
0953-5438 (ISSN-L)
OpenAlex
W2031889621
Cited by
665
References
17
FWCI
62.96
Type
journal article
Language
en
Open access
closed

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Shin, D.-H. (2010). The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption. Interacting with Computers. https://doi.org/10.1016/j.intcom.2010.05.001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.