The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption
By Donghee Don Shin. Interacting with computers, 2010
685 citations recorded by the source corpus.
Subfields: Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/b11bd744fc40ea8bee80b625835172022378cb3d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Donghee Shin
- Nick Hajli
- Yang Cao
- Che-hui Lien
- Marie-Odile Richard
- Yichuan Wang
- Mina Tajvidi
- Muhammad Hasnain Abbas Naqvi
In Sociology and Political Science
- Nick Hajli
- Donghee Shin
- Yang Cao
- Che-hui Lien
- Marie-Odile Richard
- Yichuan Wang
- Mina Tajvidi
- Muhammad Hasnain Abbas Naqvi
Citations in the corpus
- The effect of social influence, trust, and entertainment value on social media use: Evidence from Pakistan (2020, background): “Others (Shin, 2010; Warner-Søderholm et al., 2018) have investigated aspects of social media and the results indicated that trust had an affirmative influence on users’ attitudes toward the sustainable use of SNS. Suh et al. (2003) demonstrated that trust significantly affected consumer attitudes…”
- Brand co-creation through social commerce information sharing: The role of social media (2020, background): “Research explored the effects of privacy concerns as an antecedent of intentions and behavior, especially in connection with acceptance of SNSs (Cha 2011; Shin 2010).”
- Why trust an algorithm? Performance, cognition, and neurophysiology (2018, background): “Social network services (SNS), like Facebook and Twitter, seek to demonstrate security and privacy in order to build the perception of trustworthiness that sustains participation and influences adoption by new users (Shin, 2010).”
- User experience in social commerce: in friends we trust (2013, background): “In particular, the relationship between attitude and intention in social networking sites as well as e-commerce has been widely confirmed (Chiu et al. 2009, Shin 2010, Pai and Tsai 2011).”
- User Perceptions of Algorithmic Decisions in the Personalized AI System:Perceptual Evaluation of Fairness, Accountability, Transparency, and Explainability (2020, background): “The existence of trust is key to promoting technology acceptance (Shin, 2010) as it facilitates openness and transparency in adoption process.”
- Examining WeChat users' motivations, trust, attitudes, and positive word-of-mouth: Evidence from China (2014, background): “Trust facilitates a person’s confidence and his/her willingness to have faith in the other party (Moorman, Zaltman, & Deshpande, 1992) and is a driver of WOM (Chu & Kim, 2011) and attitude (Shin, 2010).”