TY - JOUR
T1 - Digital divide at individual level
T2 - Evidence for Eastern and Western European countries
AU - Chipeva, Petya
AU - Cruz-Jesus, Frederico
AU - Oliveira, Tiago
AU - Irani, Zahir
N1 - Chipeva, P., Cruz-Jesus, F., Oliveira, T., & Irani, Z. (2018). Digital divide at individual level: Evidence for Eastern and Western European countries. Government Information Quarterly, 35(3), 460-479. DOI: 10.1016/j.giq.2018.06.003
PY - 2018
Y1 - 2018
N2 - The current study explores the digital divide by checking the phenomenon at the individual level. It digs into the individual pattern of adoption and use of a broad set of information and communications technologies (ICT) by introducing a conceptual model combining the extended unified theory of acceptance and use of technology (UTAUT2) and the five-factor model of personality. By doing so it provides insights on factors affecting technology adoption and the role of personality on individual usage behavior. Most of the UTAUT2 hypotheses are supported, with performance expectancy being the strongest predictor. Openness is a significant predictor of behavioral intention, whereas for usage behavior the significant personality predictors are openness, extraversion, and agreeableness. Moreover, as data were collected in Bulgaria and Portugal, a multi-group analysis revealed significant country differences. The effect of performance expectancy, habit, agreeableness, and neuroticism on behavioral intention, as well as the effect of age on usage, are stronger for Bulgaria, whereas the effect of hedonic motivation on behavioral intention and the effect of behavioral intention on usage are stronger for Portugal.
AB - The current study explores the digital divide by checking the phenomenon at the individual level. It digs into the individual pattern of adoption and use of a broad set of information and communications technologies (ICT) by introducing a conceptual model combining the extended unified theory of acceptance and use of technology (UTAUT2) and the five-factor model of personality. By doing so it provides insights on factors affecting technology adoption and the role of personality on individual usage behavior. Most of the UTAUT2 hypotheses are supported, with performance expectancy being the strongest predictor. Openness is a significant predictor of behavioral intention, whereas for usage behavior the significant personality predictors are openness, extraversion, and agreeableness. Moreover, as data were collected in Bulgaria and Portugal, a multi-group analysis revealed significant country differences. The effect of performance expectancy, habit, agreeableness, and neuroticism on behavioral intention, as well as the effect of age on usage, are stronger for Bulgaria, whereas the effect of hedonic motivation on behavioral intention and the effect of behavioral intention on usage are stronger for Portugal.
KW - Digital divide, extended unified theory of acceptance and use of technology (UTAUT2)
KW - Information and communications technologies (ICT)
KW - Personality
UR - http://www.scopus.com/inward/record.url?scp=85048989558&partnerID=8YFLogxK
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000442188400011
U2 - 10.1016/j.giq.2018.06.003
DO - 10.1016/j.giq.2018.06.003
M3 - Article
AN - SCOPUS:85048989558
SN - 0740-624X
VL - 35
SP - 460
EP - 479
JO - Government Information Quarterly
JF - Government Information Quarterly
IS - 3
ER -
