Why people use social networking sites: An empirical study integrating network externalities and motivation theory
By Kuan-Yu Lin, Hsi-Peng Lu. Computers in Human Behavior, 2011
1,702 citations recorded by the source corpus.
Subfields: Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/db0fb14fa38c111d11d36968e0f99ea42544ff59
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
- Juho Hamari
- Jonna Koivisto
- Yao-bin Lu
- Judy Chuan-Chuan Lin
- Chin-Lung Hsu
- Dong-Hong Zhu
- Ya Ping Chang
- Lingling Gao
In Sociology and Political Science
- Jonna Koivisto
- Juho Hamari
- Judy Chuan-Chuan Lin
- Chin-Lung Hsu
- Yao-bin Lu
- Dong-Hong Zhu
- Ya Ping Chang
- Lingling Gao
Citations in the corpus
- Social media engagement: What motivates user participation and consumption on YouTube? (2017, background): “Although findings have been mixed, user behavior on social media is influenced by demographic variables such as gender (Lin & Lu, 2011).”
- The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China (2012, background): “…previous studies have proven that perceived usefulness construct has significant impact on users’ intention to use SNSs (Kim, 2011; Kwon & Wen, 2010; Lin & Lu, 2011), it is not known how different aspects of perceived usefulness influence users’ satisfaction and continuance intention (Yin & Yang,…”
- Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation (2015, background): “It is crucial because gaining trust reduces fears and worries (Hwang and Lee 2012; Lu et al.2011 ).”
- Demographic differences in perceived benefits from gamification (2014, methodology): “Furthermore, the service includes elements related to social interaction, which are commonly implemented within social network services (Baker & White, 2010; Boyd & Ellison, 2008; Lin & Lu, 2011), such as status updating, ‘‘liking,’’ and commenting.”
- An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives (2016, background): “…cellular phone services (Iimi, 2005), interactive information technologies (Lin & Bhattacherjee, 2008), social networking sites (Chiu et al., 2013; Lin & Lu, 2011), e-services (Lin et al., 2011), online video games (Yang &Mai, 2010) and mobile communication services (Kim, Park, & Oh, 2008), few…”
- Measuring flow in gamification: Dispositional Flow Scale-2 (2014, background): “With features such as group-forming, profile-building, and content sharing the service holds similarities with many social networking services (Baker & White, 2010; Boyd & Ellison, 2008; Lin & Lu, 2011; Ellison, Steinfeld & Lampe, 2007; Pfeil, Arjan & Zaphiris, 2009).”
- Examining WeChat users' motivations, trust, attitudes, and positive word-of-mouth: Evidence from China (2014, neutral): “To explain the model completely, it is imperative to discuss the standardized direct, indirect, and total effects of the model (Lin & Lu, 2011).”
- Customers' need for uniqueness theory versus brand congruence theory: The impact on satisfaction with social network sites (2020, positive): “If members perceive an SNS as being useful then they are more likely to be satisfied with the social network and be more engaged (Kang and Lee, 2010; Kwon and Wen, 2010; Lin and Lu, 2011; Sledgianowski and Kulviwat, 2009).”
- An expectation-confirmation model of continuance intention to use mobile instant messaging (2016, background): “Rather it is used to stay in touch and to have fun with others (Lin and Lu, 2011).”