Who influences whom? Analyzing workplace referents' social influence on IT adoption and non-adoption

By Andreas Eckhardt, Sven Laumer, Tim Weitzel. Journal of Information and Technology, 2009

324 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/ae9d53471aadf66c962b3c9d3e1acbe2eb5e96ec

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

The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use (2015, unknown): “Consequently, we control for the influence of satisfaction (Bhattacherjee & Lin, 2014), perceived usefulness (Davis, 1989), perceived enjoyment (Turel & Serenko, 2012) and social influence (Eckhardt et al., 2009) on discontinuous usage intention.”
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, background): “This is based on appropriate theoretical foundations (Ajzen 1991; Taylor and Todd 1995b) and empirical findings (e.g., Eckhardt et al. 2009; Foon and Fah 2011; Yeow and Loo 2009) that support the effect of facilitating conditions and behavioural intention even in the presence of effort expectancy —…”
Giving too much social support: social overload on social networking sites (2015, background): “Examining beliefs and behavior, prior research also emphasizes the importance of subjective norms (Ajzen, 1991; Eckhardt et al, 2009) and the perceived social pressure to perform or not to perform the behavior (Ajzen, 1991, p. 188).”
An empirical validation of a unified model of electronic government adoption (UMEGA) (2017, result): “…1991; Taylor & Todd, 1995b) of its root constructs (such as perceived behavioral control and facilitating condition), followed by the empirical findings (e.g. Eckhardt et al., 2009; Foon & Fah, 2011; Yeow & Loo, 2009) that support the effect of facilitating conditions on behavioral intention.”
Citizens’ adoption of an electronic government system: towards a unified view (2015, background): “This inclusion is based on appropriate theoretical foundations (Ajzen 1991; Taylor and Todd 1995b) and empirical findings (e.g., Eckhardt et al. 2009; Foon and Fah 2011; Yeow and Loo 2009) which support the effects of facilitating conditions on behavioural intention.”
Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016, background): “As Table F1 in Appendix F shows, most UTAUT extensions focused on the adoption stage (e.g., Carter & Schaupp, 2008; Eckhardt et al., 2009; Lu et al., 2009) and several studies have examined both adoption and initial use (e.g., Brown et al., 2010; Venkatesh & Zhang, 2010).”