Modeling technophobia: a case for word processing
Identifieur interne : 001455 ( Istex/Curation ); précédent : 001454; suivant : 001456Modeling technophobia: a case for word processing
Auteurs : M. J Brosnan [Royaume-Uni]Source :
- Computers in Human Behavior [ 0747-5632 ] ; 1999.
Abstract
After theory of reasoned action, Davis (1986Davis, 1993) and Davis, Bagozzi, and Warshaw (1989) proposed the Technology Acceptance Model to account for how perceived ease of use, perceived usefulness, and attitudes predict behavioral intention to use computers. This study combined these factors with measures from Bandura's self efficacy theory (computer self efficacy and computer anxiety; Bandura 1977, 1986) in conjunction with assessments of current computer experience. A total of 147 undergraduates completed a series of questionnaires at the beginning and end of a 13-week semester. A multiple regression analysis revealed that self-reported word-processor usage over a 13-week period was predicted by levels of usage at the beginning of the semester, expected usage, and perceived usefulness. Initial levels of usage and perceived usefulness were both predicted by levels of computer anxiety. A combination of the variables formulated by the Technology Acceptance Model and self efficacy theory account for 45% of the variance in self-reported computing behavior over a 13-week period. The theoretical implications are discussed.
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DOI: 10.1016/S0747-5632(98)00020-X
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<front><div type="abstract" xml:lang="en">After theory of reasoned action, Davis (1986Davis, 1993) and Davis, Bagozzi, and Warshaw (1989) proposed the Technology Acceptance Model to account for how perceived ease of use, perceived usefulness, and attitudes predict behavioral intention to use computers. This study combined these factors with measures from Bandura's self efficacy theory (computer self efficacy and computer anxiety; Bandura 1977, 1986) in conjunction with assessments of current computer experience. A total of 147 undergraduates completed a series of questionnaires at the beginning and end of a 13-week semester. A multiple regression analysis revealed that self-reported word-processor usage over a 13-week period was predicted by levels of usage at the beginning of the semester, expected usage, and perceived usefulness. Initial levels of usage and perceived usefulness were both predicted by levels of computer anxiety. A combination of the variables formulated by the Technology Acceptance Model and self efficacy theory account for 45% of the variance in self-reported computing behavior over a 13-week period. The theoretical implications are discussed.</div>
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