Understanding Online Community User Participation: A Social Influence Perspective
By Tao Zhou. Internet Research, 2011
530 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/b57f9c3a72244b1ac501f2847043a433340ad321
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Tiago Oliveira
- Sara Hanson
- Pei-Luen Patrick Rau
- Fabiola Baltar
- Ignasi Brunet
- Juho Hamari
- Lan Jiang
- Princely Ifinedo
In Information Systems and Management
- Juho Hamari
- Jonna Koivisto
- Silvia Wan-Ju Liang
- Benedita Araujo
- Tiago Oliveira
- Sara Hanson
- Pei-Luen Patrick Rau
- Fabiola Baltar
In Sociology and Political Science
- Jonna Koivisto
- Juho Hamari
- Lan Jiang
- Silvia Wan-Ju Liang
- Benedita Araujo
- Tiago Oliveira
- Sara Hanson
- Pei-Luen Patrick Rau
Citations in the corpus
- Enhancing consumer engagement in an online brand community via user reputation signals: a multi-method analysis (2018, methodology): “Engagement intentions were measured using five items adapted from online participation scales from Zhou (2011) and Chung, Namkee, Hua, Fulk, and McLaughlin (2010), which were averaged to form the engagement intentions index (α = .98).”
- Why do people share their travel experiences on social media? (2020, background): “After extended group usage, the user may feel a sense of social identity (Zhou, 2011).”
- Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective (2013, unknown): “Intention–Behaviour) is evident in the literature [3,9,83].”
- Understanding lurkers in online communities: A literature review (2014, background): “In a survey with 450 responses from university students, Zhou (2011) proved that the social identity of the group had significant influence on participation intention and actual behaviors.”
- "Working out for likes": An empirical study on social influence in exercise gamification (2015, background): “Some studies have shown that social identity (e.g. Cheung & Lee, 2010; Zhou, 2011) and group norms (e.g. Cheung et al., 2011; Dholakia et al., 2004; Zhou, 2011) positively predict, for example, we-intentions and intentions to participate in the services.”
- Social research 2.0: virtual snowball sampling method using Facebook (2012, background): “Furthermore, people tend to behave in a reliable in this virtual context (Zhou, 2011; Acquisti and Gross, 2006; Dwyer et al., 2007).”
- Internet/e-business technologies acceptance in Canada's SMEs: An exploratory investigation (2011, methodology): “Second, the dependent variable, i.e. acceptance used in this study departs from prior research efforts that tend to operationalize such constructs with a single item of Use (Usage) or Intention to use (e.g. Zhou, 2011; Weisberg et al., 2011).”
- Factors Influencing Online Shopping Behavior: The Mediating Role of Purchase Intention (2016, unknown): “…work in older age (Lu, 2012), infused soft drinks (David, Tong, Yin, 2012), tele-presence systems (Park, 2013), participation in online community (Zhou, 2011), online shopping (Al-Maghrabi, Dennis, & Halliday, 2011; Limayem et al., 2000; Jamil & Mat, 2011; Orapin, 2009; Tseng et al., 2011; Xie…”
- Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective (2020, unknown): “People have an inherent need to belong by seeking approval and recognition from others (Zhou, 2011).”
- Antecedents of travellers' electronic word-of-mouth communication (2013, background): “subjective norms) on travellers’ attitude towards, and intention to use, eWOM communications (e.g. Hennig-Thurau, Gwinner, Walsh, & Gremler, 2004; Sun et al., 2006; Zhou, 2011).”