Digital divide at individual level: Evidence for Eastern and Western European countries |
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| Institution: | 1. NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312 Lisboa, Portugal;2. Faculty of Management and Law, University of Bradford, Bradford, West Yorkshire BD7 1DP, United Kingdom;1. Department of Political Science, Faculty of Social Studies, Masaryk University, Jostova 10, Brno 602 00, Czech Republic;2. International Institute of Political Science, Jostova 10, Brno 602 00, Czech Republic;3. Sociologický ústav SAV, Slovenská akadémia vied, Klemensova 19, Bratislava 813 64, Slovakia;1. School of Business, University of Redlands, 1200 East Colton Avenue, Redlands, CA 92373-0999, USA;2. Nag Inc., 335 South Grand Ave., Suite 2450, Los Angeles, CA 90071, USA;1. Korea Institute of Public Administration, South Korea;2. Rutgers University – Newark, United States;1. Kedge Business School, Domaine de Luminy, BP 921, 13288 Marseille Cedex 9, France;2. John Molson School of Business, Concordia University, 1455 de Maisonneuve West, Montreal, QC H3G 1M8, Canada;3. Cardiff Business School, Cardiff University, Aberconway Building, Column Drive, Cardiff CF10 3EU, United Kingdom;4. University of Texas at Arlington, 701 South Nedderman Drive, Arlington, TX 76019, USA |
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| Abstract: | 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. |
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