An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models

By Carolina López-Nicolás, Francisco J. Molina-Castillo, Harry Bouwman. Information Manager (The), 2008

691 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1506e351dffbdedd782eba99eab0c156b5dde0e7

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

In Management Science and Operations Research

In Sociology and Political Science

Citations in the corpus

Browsing as the killer app: Explaining the rapid success of Apple's iPhone (2010, positive): “Finally, the success of the iPhone supports the findings of Lopez-Nicolas et al (2008) regarding the crucial role that social factors play in the adoption of 3G mobile services: such adoption depends on not only on technical utility, but also upon the direct and indirect diffusion effects long-ide”
User Intentions to Adopt Mobile Payment Services: A Study of Early Adopters in Thailand (2015, background): “, 2012) and people’s feelings about the utility of the innovation (López-Nicolás et al., 2008; Schepers & Wetzels, 2007; Yi et al., 2006).”
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014, background): “PU Karahanna and Limayem (2000), López-Nicolás et al. (2008), Kim et al. (2009), Izquierdo et al. (2010), Chang et al. (2011) EI ?”
Analysis of users and non-users of smartphone applications (2010, methodology): “Based on literature research, McCreadie and Rice (1999) distinguish six types of access: physical, cognitive, affective, economic, social, and political.”
Factors affecting adoption of online banking: A meta-analytic structural equation modeling study (2015, background): “Furthermore, there are empirical evidences that social influence positively influences perceived usefulness [90, 138], perceived ease of use [90, 92], and the trusting beliefs towards a new information technology [84].”
Understanding the intention to use mobile shopping applications and its influence on price sensitivity (2017, background): “These three linkages have been proved to be highly consistent and valid in explaining the adoption and acceptance intention of several technology related products and services (López-Nicolás et al., 2008).”
Understanding Online Community User Participation: A Social Influence Perspective (2011, background): “6 purchase (Pavlou and Fygenson, 2006), play online games (Hsu and Lu, 2004), adopt blog (Hsu and Lin, 2008), and use advanced mobile services (Lopez-Nicolas et al., 2008).”