Technology acceptance model for wireless Internet
By June Lu, Chun-Sheng Yu, Chang Liu, James E. Yao. Internet Research, 2003
1,065 citations recorded by the source corpus.
Subfields: Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/15cffd3a1fda212e64e5e9f6fc884e5e5aca22ab
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
- Keng-Boon Ooi
- Yi-Shun Wang
- Alain Yee-Loong Chong
- Garry Wei-Han Tan
- Anastasios A. Economides
- Teck-Soon Hew
- Ibrahim M. Al-Jabri
- M. S. Sohail
In Sociology and Political Science
- Keng-Boon Ooi
- Yi-Shun Wang
- Alain Yee-Loong Chong
- Garry Wei-Han Tan
- Teck-Soon Hew
- Ibrahim M. Al-Jabri
- M. S. Sohail
- June Lu
Citations in the corpus
- Applicability of theory of planned behavior in predicting intention to trade online (2007, background): “Many studies have shown the significant effect of attitude towards intention (Davis et al., 1989; Mathieson, 1991; Taylor and Todd, 1995; Lu et al., 2003; Shih and Fang, 2004; Rhodes and Courneya, 2003; Ma’ruf et al., 2003; Ramayah et al., 2003; Teo and Pok, 2003; Ramayah et al., 2004; Eri, 2004; Ra”
- Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, result): “This result is consistent with and supports prior research related to mobile commerce [Khalifa & Shen 2008; Lu et al. 2003; Luarn & Lin 2005; Nor & Pearson 2007].”
- Consumer acceptance of online banking: an extension of the technology acceptance model (2004, background): “…reliable model explaining information system acceptance and use (Mathieson, 1991; Davis and Venkatesh, 1996, ), many extensions to the original TAM have been proposed (e.g. Venkatesh and Speier, 1999; Venkatesh and Davis, 2000; Venkatesh et al., 2002; Henderson and Divett, 2003; Lu et al., 2003).”
- NFC mobile credit card: The next frontier of mobile payment? (2014, background): “In a study on the relationship between PIIT and the intention to adopt wireless mobile data system, Lu et al. (2006) demonstrate that gender has a significant moderating effect where male is found to be a significant direct determinant in the adoption compared to female.”
- Determinants of accepting wireless mobile data services in China (2008, background): “In 1999, China Telecom’s mobile division was spun off to become China Mobile [16], which focused on code division multiple access (CDMA) technology, touted to replace dial-up technology so that China Mobile could link directly to its customers, bypassing the fixed-line network of China Telecom.”
- Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model (2007, result): “Actual usage is not a cogent measure of the value of M-learning, as indicated in previous studies (Lu et al., 2003; Yang, 2005).”
- Predicting consumer intention to use mobile service (2006, background): “…highlighted the valuable elements of m-service (Clarke, 2001; Anckar & D’Incau, 2002), the consumers’ primary reasons for adopting and intending to adopt m-services remain unclear (cf. Urbacze-wski et al ., 2002; Pedersen et al ., 2002; Pedersen & Ling, 2003; Lu et al ., 2003; Meso et al ., 2005).”
- The Use of the UTAUT Model in the Adoption of E-Government Services in Kuwait (2008, background): “Thus, Internet experience needed to be considered in order to explain users' effort and performance expectancy [27].”
- The acceptance and use of computer based assessment (2011, background): “H3: Perceived Usefulness will have a positive effect on Perceived Playfulness.”
- Predicting young consumers' take up of mobile banking services (2010, neutral): “, 2004; Gefen and Straub, 1997; Koufaris, 2002), as well as various m-commerce applications (e.g. Aldás-Manzano et al., 2009; Koivumaki et al., 2006; Lu et al., 2007; Luarn and Lin, 2005; Yu et al., 2003).”
- Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology (2005, methodology): “…operational models and found some empirical support (e.g. Agarwal and Karahanna, 2000; Green, 1998; Karahanna and Straub, 1999; Lewis et al., 2003; Lu et al., 2003b; Lucas and Spitler, 2000; Segrest et al., 1998; Taylor and Todd, 1995a; 1995b; Venkatesh and Davis, 2000; Venkatesh et al., 2003).”
- What drives Malaysian m-commerce adoption? An empirical analysis (2009, background): “For instance, the service providers should attract customers via various social networks and channels, such as word of mouth and informal seminars (Lu et al., 2003).”