Predicting consumer intention to use mobile service
By Yi-Shun Wang, Hsin-Hui Lin, Pin Luarn. Information Systems Journal, 2006
730 citations recorded by the source corpus.
Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/77b1b2a58085cbdb40d2eb764b1000336f2e5fc1
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
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Ali Abdallah Alalwan
- Michael D. Williams
- Keng-Boon Ooi
- Garry Wei-Han Tan
- Nicole Koenig‐Lewis
- Adrian Palmer
In Organizational Behavior and Human Resource Management
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Michael D. Williams
- Keng-Boon Ooi
- Garry Wei-Han Tan
- Nicole Koenig‐Lewis
- Adrian Palmer
In Sociology and Political Science
- Ali Abdallah Alalwan
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Michael D. Williams
- Keng-Boon Ooi
- Garry Wei-Han Tan
- Tao Zhou
- Nicole Koenig‐Lewis
Citations in the corpus
- NFC mobile credit card: The next frontier of mobile payment? (2014, background): “The results corroborate previous research conducted on traditional MP solutions in Malaysia (Amin, 2007) as well as on mobile services acceptance (Wang et al., 2006).”
- Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, background): “A vast body of research suggests that there is a strong impact of perceived ease of use of new technology on its adoption [Gu et al. 2009; Luarn & Lin 2005; Venkatesh & Davis 2000; Wang et al. 2006].”
- Mobile-banking adoption by Iranian bank clients (2014, background): “, 2003; Luarn and Lin, 2005; Wang et al., 2008; Wu and Wang, 2005), these constructs have been examined independently by researchers. Along with Wessels and Drennan (2010), it was found that both factors significantly increase the variance in consumers’ adoption willingness explained by the model.”
- Analysis of users and non-users of smartphone applications (2010, background): “…of mobile services: mobile Internet (Cheong and Park, 2005; Lu et al., 2005), mobile data services (Hong et al., 2006b), mobile banking (Luarn and Lin, 2005), mobile commerce (Wu and Wang, 2005), mobile healthcare systems (Wu et al., 2007) or advanced mobile services in general (Wang et al., 2006).”
- Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective (2011, neutral): “[21]”
- Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success (2008, methodology): “Previous research on TAM focuses mainly on the extension of TAM by adding one or more additional independent constructs to increase the explained variance in usage intention/behaviour (e.g. Mathieson et al., 2001; Moon & Kim, 2001; Gefen et al., 2003; Venkatesh et al., 2003; Wang, 2003b; Carter & Bé”
- Predicting young consumers' take up of mobile banking services (2010, positive): “…Venkatesh and Davis, 2000; Venkatesh and Morris, 2000), while others have reported a weak link, for example Wang et al. reported that “behavioural intentions are only partially useful as their correlation with actual behaviour is low and mediated by many other variables” (Wang et al., 2006, p.175).”
- Understanding customers' repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk (2014, background): “Ease of use * (Wang et al., 2006) x (van der Heijden et al.”
- Understanding dynamics between initial trust and usage intentions of mobile banking (2009, background): “The term m-commerce represents business transactions conducted through mobile communication networks or the internet (Siau et al ., 2001; Siau & Shen, 2003; Wang et al ., 2006).”
- Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy (2016, background): “…in their ability to get used to new technology as long as they are less likely to be influenced by the degree of difficulties that exist in technology (Castañeda et al., 2007; Davis et al., 1989; Venkatesh et al., 2003; Venkatesh et al., 2012; Wang et al., 2006; Wessels and Drennan, 2010).”