Computer Self-Efficacy: Development of a Measure and Initial Test

This paper discusses the role of individuals' beliefs about their abilities to competently use computers (computer self-efficacy) in the determination of computer use. A survey of Canadian managers and professionals was conducted to develop and validate a measure of computer self-efficacy and to assess both its impacts and antecedents. Computer self- efficacy was found to exert a significant influence on individuals' expectations of the outcomes of using computers, their emotional reactions to computers (affect and anxiety), as well as their actual computer use. An individual's self-efficacy and outcome expecta- tions were found to be positively influenced by the encouragement of others in their work group, as well as others' use of computers. Thus, self-efficacy represents an important individual trait, which moderates organizational influences (such as encouragement and support) on an individual's decision to use computers. Understanding self-efficacy, then, is important to the successful implementation of systems in organizations. The existence of a reliable and valid measure of self-efficacy makes assessment possible and should have implications for organizational support, training, and implementation.

[1]  G. Latham,et al.  Application of social-learning theory to training supervisors through behavioral modeling. , 1979 .

[2]  A. Bandura,et al.  INFLUENCE OF MODEL'S REINFORCEMENT CONTINGENCIES ON THE ACQUISITION OF IMITATIVE RESPONSES. , 1965, Journal of personality and social psychology.

[3]  Morcom Lunt,et al.  Factors of success , 1989 .

[4]  R. Heinssen,et al.  Assessing computer anxiety: Development and validation of the Computer Anxiety Rating Scale , 1987 .

[5]  John R. Hollenbeck,et al.  The effects of individual differences and goal origin on goal setting and performance , 1987 .

[6]  Daniel J. Brass,et al.  Changing patterns or patterns of change: the effects of a change in technology on social network str , 1990 .

[7]  Thomas Hill,et al.  Communicating Innovations: Convincing Computer Phobics to Adopt Innovative Technologies , 1986 .

[8]  J. Barling,et al.  Self-Efficacy Beliefs and Sales Performance , 1983 .

[9]  Colette A. Frayne,et al.  Self-management training for increasing job attendance: A follow-up and a replication. , 1988 .

[10]  Stephen A. Stumpf,et al.  Self-efficacy expectations and coping with career-related events , 1987 .

[11]  Gareth R. Jones Socialization Tactics, Self-Efficacy, and Newcomers' Adjustments to Organizations , 1986 .

[12]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .

[13]  E. Lichtenstein,et al.  Self-efficacy and relapse in smoking cessation programs. , 1981, Journal of consulting and clinical psychology.

[14]  Edwin A. Locke,et al.  Type A behavior and faculty research productivity: What are the mechanisms? , 1984 .

[15]  A. Bandura,et al.  Social Cognitive Theory of Organizational Management , 1989 .

[16]  Magid Igbaria,et al.  Microcomputer applications: An empirical look at usage , 1989, Inf. Manag..

[17]  Gary P. Latham,et al.  Application of social learning theory to employee self-management of attendance , 1987 .

[18]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[19]  Ramon J. Aldag,et al.  The “Self” in Work Organizations: A Conceptual Review , 1981 .

[20]  Marilyn E. Gist,et al.  Self-Efficacy: Implications for Organizational Behavior and Human Resource Management , 1987 .

[21]  Deborah Compeau,et al.  Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..

[22]  Clarice P. Gressard,et al.  Reliability and Factorial Validity of Computer Attitude Scales , 1984 .

[23]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[24]  Dillon K. Inouye,et al.  Learned helplessness through modeling: The role of perceived similarity in competence. , 1978 .

[25]  Christopher A. Higgins,et al.  The Impact of Computerized Performance Monitoring on Service Work: Testing a Causal Model , 1991, Inf. Syst. Res..

[26]  D. Dillman Mail and telephone surveys : the total design method , 1979 .

[27]  A Bandura,et al.  Cognitive processes mediating behavioral change. , 1977, Journal of personality and social psychology.

[28]  H C Triandis,et al.  Values, attitudes, and interpersonal behavior. , 1980, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[29]  D. Schunk Modeling and attributional effects on children's achievement: A self-efficacy analysis. , 1981 .

[30]  A. Bandura Reflections on self-efficacy , 1978 .

[31]  Lyman W. Porter,et al.  Managerial attitudes and performance , 1968 .

[32]  A. Bandura Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychology Review.

[33]  D. Dillman,et al.  Mail and telephone surveys , 1978 .

[34]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[35]  Marilyn E. Gist,et al.  EFFECTS OF ALTERNATIVE TRAINING METHODS ON SELF-EFFICACY AND PERFORMANCE IN COMPUTER SOFTWARE TRAINING , 1989 .

[36]  Alexander M. Maish A User's Behavior Toward His MIS , 1979, MIS Q..

[37]  Terry S. Overton,et al.  Estimating Nonresponse Bias in Mail Surveys , 1977 .

[38]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[39]  Edwin A. Locke,et al.  Effect of self-efficacy, goals, and task strategies on task performance. , 1984 .

[40]  A. Bandura Self-efficacy mechanism in human agency , 2024, Psihologìâ ì suspìlʹstvo.

[41]  H. P. Sims,et al.  Beyond imitation: Complex behavioral and affective linkages resulting from exposure to leadership training models. , 1986 .

[42]  Robert P. Minch,et al.  Computer Anxiety and Alienation: Toward a Definitive and Parsimonious Measure , 1990 .

[43]  Francis Neville Pavri,et al.  An Empirical Study Of The Factors Contributing To Microcomputer Usage , 1988 .

[44]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[45]  Daniel Robey,et al.  User Attitudes and Management Information System Use , 1979 .

[46]  A. Bandura Social Foundations of Thought and Action , 1986 .

[47]  Henry C. Lucas,et al.  Empirical Evidence for a Descriptive Model of Implementation , 1978, MIS Q..

[48]  Sid L. Huff,et al.  Implementing Decision Support Systems: Correlates Of User Satisfaction And System Usage , 1990 .

[49]  Joseph J. Martocchio,et al.  Turning Work into Play: Implications for Microcomputer Software Training , 1993 .

[50]  J. Elashoff,et al.  Multiple Regression in Behavioral Research. , 1974 .

[51]  Thomas Hill,et al.  Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. , 1987 .

[52]  Paul H. Cheney,et al.  A tool for measuring and analyzing end user computing abilities , 1988, Inf. Process. Manag..

[53]  Suzanne Rivard,et al.  Factors of success for end-user computing , 1988, CACM.

[54]  Nancy E. Betz,et al.  The Relationship of Career-Related Self-Efficacy Expectations to Perceived Career Options in College Women and Men. , 1981 .