Predicting Software Self Efficacy among Business Students: A Preliminary Assessment

An empirical study was conducted to investigate demographic predictors of software self-efficacy among undergraduate business students. The relationship between academic major, gender, ACT scores, computer-related experience, family income, and computer anxiety level with software self-efficacy was investigated. The results indicate significant differences in software self-efficacy among students with different majors, amounts of computerrelated experience, family income levels, and computer anxiety levels. Although significant differences between students from families with different income levels were found, however no clear patterns were discernable.

[1]  A. Anderson Predictors of Computer Anxiety and Performance in Information Systems , 1996 .

[2]  A. Adam Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[3]  R. Kelly Rainer,et al.  The Influence of Individual Differences on Skill in End-User Computing , 1992, J. Manag. Inf. Syst..

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

[5]  David J. Ayersman Effects of computer instruction, learning style, gender, and experience on computer anxiety , 1996 .

[6]  Steven C. Rockwell,et al.  The effect of communication, writing, and technology apprehension on likelihood to use new communication technologies , 1997 .

[7]  Magid Igbaria,et al.  Computer anxiety and attitudes towards microcomputer use , 1990 .

[8]  Kevin Tierney,et al.  The relation of gender and background experience to self-reported computing anxieties and cognitions , 2001, Comput. Hum. Behav..

[9]  Sock H. Chung,et al.  An Empirical Study of Students' Computer Self-Efficacy: Differences among Four Academic Disciplines at a Large University , 2002, J. Comput. Inf. Syst..

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

[11]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[12]  Jane Webster,et al.  Computer-assisted versus paper-and-pencil administration of questionnaires , 1996 .

[13]  Allison W. Harrison,et al.  Testing the self-efficacy-performance linkage of social-cognitive theory. , 1997, The Journal of social psychology.

[14]  G. Bradley,et al.  Computer Experience, School Support, and Computer Anxiety , 1997 .

[15]  John Todman,et al.  Gender differences in computer anxiety among university entrants since 1992 , 2000, Comput. Educ..

[16]  A. Colley,et al.  Effects of Gender Role Identity and Experience on Computer Attitude Components , 1994 .

[17]  Magid Igbaria,et al.  An Examination of Gender Differences in the Determinants of Computer Anxiety and Attitudes Toward Microcomputers Among Managers , 1990, Int. J. Man Mach. Stud..

[18]  H.-W. Chou,et al.  Effects of training method and computer anxiety on learning performance and self-efficacy , 2001, Comput. Hum. Behav..

[19]  Alan Durndell,et al.  The effect of computer use on gender differences in attitudes to computer , 1990 .

[20]  John King,et al.  An investigation of computer anxiety by gender and grade , 2002, Comput. Hum. Behav..

[21]  R. Zmud INDIVIDUAL DIFFERENCES AND MIS SUCCESS: A REVIEW OF THE EMPIRICAL LITERATURE* , 1979 .

[22]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

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

[24]  Karen D. Loch,et al.  Ethics and information technology use: a factor analysis of attitudes to computer use , 1995, Inf. Syst. J..

[25]  Henk G. Schmidt,et al.  The structure of computer anxiety: a six-factor model , 2001, Comput. Hum. Behav..

[26]  Doug Mahar,et al.  The effects of computer anxiety, state anxiety, and computer experience on users' performance of computer based tasks , 1997 .

[27]  J. Cooper,et al.  Gender, Computer-Assisted Learning, and Anxiety: With a Little Help from a Friend , 1996 .

[28]  R. Kay An Analysis of Methods Used to Examine Gender Differences in Computer-Related Behavior , 1992 .

[29]  P. C. Chu,et al.  Validating the computer anxiety rating scale: Effects of cognitive style and computer courses on computer anxiety , 1991 .

[30]  Jane Webster,et al.  The Differential Effects of Software Training Previews on Training Outcomes , 1995 .

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

[32]  Brenda H. Loyd,et al.  Gender and Computer Experience as Factors in the Computer Attitudes of Middle School Students , 1987 .

[33]  Michael W. Gos Computer Anxiety and Computer Experience: A New Look at an Old Relationship. , 1996 .

[34]  Jay Liebowitz,et al.  Facilitating Innovation through Knowledge Sharing: A Look at the Us Naval Surface Warfare Center-Carderock Division , 2002, J. Comput. Inf. Syst..

[35]  P. Okebukola,et al.  The gender factor in computer anxiety and interest among some Australian high school students , 1993 .

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

[37]  Joseph J. Martocchio,et al.  Effects of conceptions of ability on anxiety, self-efficacy, and learning in training. , 1994, The Journal of applied psychology.

[38]  Michael G. Elasmar,et al.  Use of E-mail by College Students and Implications for Curriculum , 1996 .

[39]  J. Todman,et al.  Qualitative differences in computer experience, computer anxiety, and students' use of computers: A path model , 1994 .

[40]  D. McInerney,et al.  Student Teachers, Computer Anxiety and Computer Experience , 1994 .