Use of information systems1 is, arguably, the most critical variable in the entire repertoire of empirical and behavioral studies pinpointed at the intersection of computing and human beings (Petter et al., 2008; Burton‐Jones and Straub, 2006). It serves as the ultimate goal for numerous key antecedents such as systems design artifacts (e.g., usability, systems/information/service quality, recommender systems, personalization, and auction affordances), cost factors, affective factors (as discussed in Pallud and Elie‐dit‐cosaque, 2008), beliefs (e.g., perceived usefulness, perceived ease‐of‐use), security attitudes (Warkentin et al., 2012), entrepreneurial determinants (del Guidice and Straub, 2011), and generic attitudes/intentions.2 Interestingly, it can itself serve as an important antecedent to outcomes including performance and net benefits (DeLone and McLean, 2003). These effects occur at varying levels of analysis (e.g., individual level, workgroup level, business unit level, firm level, network level, and industry level, as discussed in Burton‐Jones and Gallivan (2007).
USE
DEL GIUDICE M
2012-01-01
Abstract
Use of information systems1 is, arguably, the most critical variable in the entire repertoire of empirical and behavioral studies pinpointed at the intersection of computing and human beings (Petter et al., 2008; Burton‐Jones and Straub, 2006). It serves as the ultimate goal for numerous key antecedents such as systems design artifacts (e.g., usability, systems/information/service quality, recommender systems, personalization, and auction affordances), cost factors, affective factors (as discussed in Pallud and Elie‐dit‐cosaque, 2008), beliefs (e.g., perceived usefulness, perceived ease‐of‐use), security attitudes (Warkentin et al., 2012), entrepreneurial determinants (del Guidice and Straub, 2011), and generic attitudes/intentions.2 Interestingly, it can itself serve as an important antecedent to outcomes including performance and net benefits (DeLone and McLean, 2003). These effects occur at varying levels of analysis (e.g., individual level, workgroup level, business unit level, firm level, network level, and industry level, as discussed in Burton‐Jones and Gallivan (2007).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.