Sources of Influence on Beliefs about Information Technolgoy Use: An Empirical Study of Knowledge Workers

By William Lewis, Ritu Agarwal, V. Sambamurthy. MIS Q., 2003

1,220 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/51cf0d27d5e48705e8fd0cfa4c32489a9b9e1bf0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits (2012, background): “Meanwhile, aswediscussed earlier, individuals who are high in PIIT are more likely to be risk-seeking (Lewis et al., 2003; Lu et al., 2008), andmay demonstrate more confidence in their capacity to adopt or use an innovation.”
Positioning the institutional perspective in information systems research (2009, methodology): “A few studies, however, are interested in the effect of institutional pressures on other types of entities: groups (project teams) and individuals (managers) (Tingling and Parent, 2002; Lewis et al ., 2003).”
"Working out for likes": An empirical study on social influence in exercise gamification (2015, background): “In line with Bock et al. (2005), Lewis et al. (2003), and Venkatesh and Davis (2000), we propose that the subjective norm affects attitude directly as well as behavioural intentions mediated by attitude.”
Who influences whom? Analyzing workplace referents' social influence on IT adoption and non-adoption (2009, methodology): “Similarly to the work of Brown and Venkatesh (2005) and Lewis et al .”
The acceptance and use of a virtual learning environment in China (2008, background): “The absence of a significant direct relationship between personal innovativeness and perceived usefulness is consistent with the empirical results of Schillewaert et al. (2005) and Robinson et al. (2005), but inconsistent with the findings of Lewis et al. (2003).”
The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence (2022, background): “…disposition linked to a greater tendency to adopt innovations (Agarwal & Prasad, 1998; Ahn et al., 2016), and research suggests that innovativeness increases positive attitudes toward AI technologies (Gansser & Reich, 2021; Lewis et al., 2003; Mohr & K € uhl, 2021; Park et al., 2022; Zhang, 2020).”
Investigating user resistance to information systems implementation: a status quo bias perspective (2009, background): “Just as management support for a technology increases the ease of use of the technology (Lewis et al. 2003), organizational support for change in the form of training and resources is likely to reduce the perceived difficulty of adapting to the new IS.”
Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology (2005, background): “Our finding, however, contradicts with some previous findings (e.g. Agarwal and Karahanna, 2000; Lewis et al., 2003).”
An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models (2008, background): “Individuals with higher levels of personal innovativeness are expected to develop more positive beliefs from new technologies [18].”
Determinants of accepting wireless mobile data services in China (2008, neutral): “, [21,23]).”