Gender differences in perceptions and relationships among dominants of e-learning acceptance
By Chorng-Shyong Ong, Jung-Yu Lai. Computers in Human Behavior, 2006
888 citations recorded by the source corpus.
Subfields: Gender Studies, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/82197f467bd0ecab7852228125bda2b13aebba8a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Gender Studies
- Anastasios A. Economides
- Saleh Alharbi
- R. Law
- Bassam Hasan
- Martin Mulder
- Steve Drew
- Hossein Mahdizadeh
- Marylène Gagné
In Information Systems and Management
- Yung-Ming Cheng
- Anastasios A. Economides
- Saleh Alharbi
- Steve Drew
- Xitao Fan
- Jianxia Du
- Zhihui Cai
- Marylène Gagné
In Sociology and Political Science
- Yung-Ming Cheng
- Zhihui Cai
- Jianxia Du
- Xitao Fan
- Saleh Alharbi
- Steve Drew
- Markus Appel
- Marylène Gagné
Citations in the corpus
- Gender and attitudes toward technology use: A meta-analysis (2017, background): “…Strømsø, 2006; Collis & Williams, 2001), personal beliefs about technology's social impact and usefulness (e.g., Collis & Williams, 2001; Huneke, 2002; Ong & Lai, 2006), or personal self-con fi dence or self-ef fi cacy about one's ability in utilizing technology (e.g., Colley & Comber, 2003; Tsai &…”
- An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model (2008, background): “Examples of these factors include computer use experience (Yang, 2005; Zain, Rose, Abdullah, & Masrom, 2005), computer self-efficacy (Hu et al., 2003; Ong & Lai, 2006; Pituch & Lee, 2004), job relevance (Hu et al., 2003), and innovativeness (Lu, Yao, & Yu, 2005).”
- A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types (2011, background): “…TAM Saade and Bahli (2005) 102 Students E-learning System TAM Lee, Cheung, and Chen (2005) 544 Students Web-based Learning Technology (FaBWeb) TAM Ong and Lai (2006) 156 Employees E-learning System TAM Roca, Chiu, and Martinez (2006) 172 Students E-learning System TAM Pituch and Lee (2006) 259…”
- Antecedents and consequences of e‐learning acceptance (2011, methodology): “…which can be grouped into the following four types: the individual factors include computer self-efficacy (CSE) (e.g. Ong et al ., 2004; Lee, 2006; Ong & Lai, 2006; Pituch & Lee, 2006; Roca et al ., 2006), internet self-efficacy (ISE) (e.g. Pituch & Lee, 2006; Roca et al ., 2006), cognitive…”
- Stereotypes and the Achievement Gap: Stereotype Threat Prior to Test Taking (2012, background): “A large majority of IT jobs are held by men, and research shows that male adolescents and adults have higher or more positive scores on computerrelated attributes such as attitudes towards the computer and towards e-learning (e.g., Ong & Lai, 2006) or computer literacy (e.g., Appel, in press).”
- Exploring gender differences in online shopping attitude (2010, background): “…and system usage Ilie, Van Slyke, Green, and Lou (2005) Acceptance of communication technologies Kay (2006) Computer ability, attitude, and use Ong and Lai (2006) E-learning acceptance Sanchez-Franco (2006) Perceptions of website usage Simon (2001) Satisfaction with website design Teo and Lim…”
- The impact of a flipped classroom design on learning performance in higher education: Looking for the best "blend" of lectures and guiding questions with feedback (2017, neutral): “The same applies to research focusing on the mediating impact of SE in EL contexts (see e.g., Braeckman et al., 2013; Ong & Lai, 2006; Wu, Ed, Tsai, & Ed, 2006).”
- Determining factors of the use of e-learning environments by university teachers (2008, background): “Previous research concentrated on teachers' intentions to use e-learning environments or their use of several specific functions of e-learning environments like e-mail or PowerPoint presentations (e.g., Collis et al., 2001; Ong & Lai, 2006).”
- Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective☆ (2015, result): “Many studies have reported similar outcomes (Venkatesh and Morris, 2000; Venkatesh et al., 2003; Ong and Lai, 2006; Cheung and Lee, 2011; Goh, 2011; Okazaki and dos Santos, 2012; Liébana-Cabanillas et al., 2014).”