Modelling Technophobia: A Case for Word Processing

Research output: Contribution to journalArticle

52 Citations (Scopus)

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 A Bandura, Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84 (1977), pp. 191–215. Article | PDF (2130 K) | | View Record in Scopus | | Full Text via CrossRef | Cited By in Scopus (6589) [Bandura, 1977] and Bandura, 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.
Original languageEnglish
Pages (from-to)105-121
Number of pages17
JournalComputers in Human Behavior
Volume15
Issue number2
DOIs
Publication statusPublished - 1 Mar 1999

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Word processing
Word Processing
Self Efficacy
Anxiety
Technology
Regression analysis
Regression Analysis
Modeling
Psychology
Self-efficacy
Usefulness

Cite this

Modelling Technophobia: A Case for Word Processing. / Brosnan, Mark.

In: Computers in Human Behavior, Vol. 15, No. 2, 01.03.1999, p. 105-121.

Research output: Contribution to journalArticle

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