Validation of the Business Computer Self-Efficacy Scale: Assessment of the Computer Literacy of Incoming Business Students

The business computer self-efficacy (BCSE) scale is potentially an important tool for researchers studying business students and professionals, but it needs to be validated for use. Content validity was established by Stephens and Shotick (2002). This research analyzes the scale under both criterion-related and construct validation. The scale is compared to a similar scale that has already been validated through research (Murphy, Coover & Owen, 1989). Intercorrelational patterns are examined among these two scales designed to measure the same construct (computer self-efficacy). The results reveal that the two scales are highly correlated. Additionally, the scale is used to demonstrate that it can be used to choose the appropriate type of computer training. Research theorizes that low computer self efficacy will lead individuals to circumvent experiences with computer technology (Stephens & Shotick, 2002). This article provides evidence that subjects with low computer self-efficacy will avoid interacting with computer technology when given a choice.

[1]  Richard D. Johnson,et al.  Research Report: The Role of Behavioral Modeling in Computer Skills Acquisition: Toward Refinement of the Model , 2000, Inf. Syst. Res..

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

[3]  Richard D. Johnson,et al.  The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research , 1998, Inf. Syst. Res..

[4]  Philip Bobko,et al.  Self-efficacy beliefs: Comparison of five measures. , 1994 .

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

[6]  Edward McAuley,et al.  Self-Efficacy, Perceptions of Success, and Intrinsic Motivation for Exercise1 , 1991 .

[7]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[8]  T. Busch.  Gender Differences in Self-Efficacy and Attitudes toward Computers , 1995 .

[9]  Lorne Olfman,et al.  Training End Users To Compute: Cognitive, Motivational And Social Issues , 1987 .

[10]  A. Bandura.  Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[11]  Marilyn E. Gist,et al.  Self-Efficacy: A Theoretical Analysis of Its Determinants and Malleability , 1992 .

[12]  John A. Gardner,et al.  Barriers to student computer usage: staff and student perceptions , 1999, J. Comput. Assist. Learn..

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

[14]  Milton Lodge,et al.  Magnitude Scaling: Quantitative Measurement of Opinions , 1981 .

[15]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[16]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[17]  Paul Stephens Foster,et al.  RE-EVALUATION OF THE COMPUTER SELF-EFFICACY MODEL : DEVELOPMENT AND USE OF THE BUSINESS COMPUTER SELF-EFFICACY SCALE , 2002 .

[18]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

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

[20]  S. Owen,et al.  Development and Validation of the Computer Self-Efficacy Scale , 1989 .

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