Gender and cultural differences in Internet use: A study of China and the UK
By Nai Li, Gill Kirkup. Comput. Educ., 2007
696 citations recorded by the source corpus.
Subfields: Education, Gender Studies, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/e2f6bd7c596628d1cf3cc878dbf52586aeba349b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Timothy Teo
- Jo Tondeur
- Johan van Braak
- Martin Valcke
- Chwee Beng Lee
- Ching Sing Chai
- Po-Han Wu
- Chi-Chang Chen
In Gender Studies
- Jo Tondeur
- Johan van Braak
- Martin Valcke
- Timothy Teo
- Mazen El-Masri
- Ali Tarhini
- Ching Sing Chai
- Chwee Beng Lee
In Sociology and Political Science
- Jo Tondeur
- Kate S. Hone
- Ali Tarhini
- Ching Sing Chai
- Zhihui Cai
- Jianxia Du
- Chwee Beng Lee
- Su Luan Wong
Citations in the corpus
- Gender and attitudes toward technology use: A meta-analysis (2017, background): “There was research suggesting that, in different countries, people might have different perceptions and views about information technology (Brosnan & Lee,1998;Li & Kirkup,2007).”
- Internet Use and Subjective Well-Being in China (2016, background): “This expansion is important because the different attitudes to and perceptions of Internet use among those from different sociocultural backgrounds (see, e.g., Brosnan and Lee 1998; Li and Kirkup 2007) make it difficult to generalize results from developed societies.”
- Student teachers' thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology (2010, background): “Nevertheless, considering the dynamic approach suggested above by North and Noyes (2002). We have to reconsider the potential impact and whether gender differences still play a role in a workplace setting where ICT has become a common provision.”
- Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model (2017, methodology): “(2005) using a cross-country comparison and Li et al. (2009) using individual-level cultural data.”
- Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM) (2009, background): “For many decades, researchers have been interested to understand how users’ beliefs and attitudes affect their technology usage behaviour (e.g., Davis, 1989; Davis, Bagozzi, & Warshaw, 1989; Dishaw & Strong, 1998; Taylor & Todd, 1995; Venkatesh & Davis, 2000).”
- Age, gender and income: do they really moderate online shopping behaviour? (2011, background): “In fact, we consider that socioeconomic characteristics do indeed affect the initial decision whether to make use of an IT, as has been demonstrated in the case of the internet ( Li and Kirkup, 2007”
- An online game approach for improving students' learning performance in web-based problem-solving activities (2012, background): “…for information to solve complex problems without assistance or scaffolding (Chandra & Watters, 2012; Chen, 2010; Chiou, Hwang, & Tseng et al., 2009; Ferreira & Sanos, 2009; Hargittai, 2006; Ho, Yin, Hwang, Shyu, & Yean, 2009; Kim & Hannafin, 2011; Li & Kirkup, 2007; Merrill & Gibert, 2008).”
- Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) (2017, background): “In addition, although the e-learning may be considered as a global technology, the efficiency of such tools should also be measured locally since users usually work in local/national contexts (Li and Kirkup 2007; Teo 2009; Tarhini et al. 2015a).”