Computer Self-Efficacy: A Bibliography

My preliminary bibliography for my ILS680 special project:

References

Agarwal, R., & V. Sambamurthy and Ralph M. Stair. (2000). Research report: The evolving relationship between general and specific computer self-efficacy – an empirical assessment. Information Systems Research, 11(4), 418-430.

Bandura, A. (1969). Principles of behavior modification. New York: Holt, Rinehart, Winston, Inc.

Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122-147.

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, New Jersey: Prentice-Hall, Inc.

Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W. H. Freeman and Company.

Bandura, A., & Walters, R. H. (1963). Social learning and personality development. New York: Holt, Rinehart and Winston, Inc.

Barbeite, F. G., & Weiss, E. (2004). Computer self-efficacy and anxiety scales for an internet sample: Testing measurement equivalence of existing measures and development of new scales. Computers in Human Behavior, 20, 1-15.

Beas, M. I., & Salanova, M. (2006). Self-efficacy beliefs, computer training and psychological well-being among information and communication technology workers. Computers in Human Behavior, 22, 1043-1058.

Beckers, J. J., & Schmidt, H. G. (2001). The structure of computer anxiety: A six-factor model. Computers in Human Behavior, 17, 35-49.

Busch, T. (1995). Gender differences in self-efficacy and attitudes toward computers. Journal of Educational Computing Research, 12, 147-158.

Cassidy, S., & Eachus, P. (2002). Developing the computer user self-efficacy (CUSE) scale: Investigating the relationship between computer self-efficacy, gender and experience with computers. Journal of Educational Computing Research, 26(2), 133-153.

Cleyle, S. (2003). Introduction. Library Hi Tech, 21(3), 270-272.

Coffin, R. J., & MacIntrye, P. D. (1999). Motivational influences on computer-related affective states. Computers in Human Behavior, 15, 549-569.

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.

Compeau, D. R., Higgins, C. A., & Huff, S. L. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23(2), 145-158.

Czaja, S. J., Neil Charness, Arthur D. Fisk, Christopher Herzog, Sankaran N. Nair, Wendy A. Rogers, et al. (2006). Factors predicting the use of technology: Findings from the center for research and education on aging and technology enhancement (CREATE). Psychology and Aging, 21(2), 333-352.

Decker, C. A. (1999). Technical education transfer: Perceptions of employee computer technology self-efficacy. Computers in Human Behavior, 15, 161-172.

Decker, C. A. (1998). Training transfer: Perception of computer use self-efficacy among university employees. Journal of Vocational and Technical Education, 14(2)

Deng, X. 1., Doll, W. 2., & Truong, D. 3. (2004). Computer self-efficacy in an ongoing use context. Behaviour & Information Technology, 23(6), 395-412.

Downey, J. (2006). Measuring general computer self-efficacy: The surprising comparison of three instruments in predicting performance, attitudes, and usage. Proceedings of the 39th Hawaii International Conference on Systems Sciences,

Downey, J. (2006). Refining the scope in computer self-efficacy relationships: An empirical comparison of three instruments in predicting competence and attitudes.

Downey, J. P., & McMurtrey, M. (2007). Introducing task-based general computer self-efficacy: An empirical comparison of three general self-efficacy instruments. Interacting with Computers, 19, 382-396.

Ellen, P. S., Bearden, W. O., & Sharma, S. (1991). Resistance to technological innovations: An examination of the role of self-efficacy and performance satisfaction. Journal of the Academy of Marketing Science, 19(4), 297-307.

Garnes, D. M. B. (2005). Hope and self-efficacy as motivational influences in technology adoption.

Goh, D., Ogan, C., Ahuja, M., Herring, S. C., & Robinson, J. C. (2007). Being the same isn’t enough: Impact of male and female mentors on computer self-efficacy of college students in IT-related fields. Journal of Educational Computing Research, 37(1), 19-40.

Hasan, B. (2006). Delineating the effects of general and system-specific computer self-efficacy beliefs on IS acceptance. Information & Management, 43, 565-571.

Hasan, B. 1. (2003). The influence of specific computer experiences on computer self-efficacy beliefs. Computers in Human Behavior, 19(4), 443.

Hill, T., Smith, N. D., & Mann, M. F. (1987). Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. Journal of Applied Psychology, 72(2), 307-313.

Hsu, W. K., & Huang, S. S. (2006). Determinants of computer self-efficacy – an examination of learning motivations and learning environments. Journal of Educational Computing Research, 35(3), 245-265.

Igbaria, M., & Iivari, J. (1995). The effects of self-efficacy on computer usage. Omega: International Journal of Management Science, 23(6), 587-605.

Imhof, M., Vollmeyer, R. 1., & Beierlein, C. 1. (2007). Computer use and the gender gap: The issue of access, use, motivation, and performance. Computers in Human Behavior, 23(6), 2823-2837.

Jawahar, L. M., & Elango, B. (2001). The effect of attitudes, goal setting and self-efficacy on end user performance. Journal of End User Computing, 13(2), 40-45.

Johnson, R. D. (2005). An empirical investigation of sources of application-specific computer self-efficacy and mediators of the efficacy-performance relationship. International Journal of Human-Computer Studies, 62, 737-758.

Jones, D. E. (1999). Ten years later: Support staff perceptions and opinions on technology in the workplace. Library Trends, 47(4), 711-745.

Korukonda, A. R. 1. (2007). Differences that do matter: A dialectic analysis of individual characteristics and personality dimensions contributing to computer anxiety. Computers in Human Behavior, 23(4), 1921-1942.

Kupersmith, J. (1992). Technostress and the reference librarian. Reference Services Review, 20, 7-14, 50.

Lam, T., & Vincent Cho, and Hailin Qu. (2007). A study of hotel employee behavioral intentions towards adoption of information technology. International Journal of Hospitality Management, 26, 49-65.

Leach, D. J. 1., Wall, T. D. 1., & Jackson, P. R. 2. (2003). The effect of empowerment on job knowledge: An empirical test involving operators of complex technology. Journal of Occupational & Organizational Psychology, 76(1), 27.

Liaw, S. 1. (2007). Computers and the internet as a job assisted tool: Based on the three-tier use model approach. Computers in Human Behavior, 23(1), 399-414.

Lin, H. (2007). Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions. Journal of Information Science, 33(135), 135-149.

Llorens, S., Schaufeli, W., Bakker, A., & Salanova, M. (2007). Does a positive gain spiral of resourcs, efficacy beliefs and engagement exist? Computers in Human Behavior, 23, 825-841.

Marakas, G. M., Johnson, R. D., & Clay, P. F. (2007). The evolving nature of the computer self-efficacy construct: An empirical investigation of measurement construction, validity, reliability and stability over time. Journal of the Association for Information Systems, 8(1), 15-46.

Marcolin, B. L., Compeau, D. R., Munro, M. C., & Huff, S. L. (2000). Assessing user competence: Conceptualization and measurement. Information Systems Research, 11(1), 37-60.

Marquié, J. C. 1., Jourdan-Boddaert, L. 1., & Huet, N. 1. (2002). Do older adults underestimate their actual computer knowledge? Behaviour & Information Technology, 21(4), 273-280.

McDonald, T., & Siegall, M. (1992). The effects of technological self-efficacy and job focus on job performance, attitudes, and.. Journal of Psychology, 126(5), 465.

Nawe, J. (1995). Work-related stress among the library and information workforce. Library Review, 44(6), 30-37.

Nelson, D. L. (1990). Individual adjustment to information-driven technologies: A critical review. MIS Quarterly, 14(1), 79-98.

Potosky, D. (2002). A field study of computer efficacy beliefs as an outcome of training: The role of computer playfulness, computer knowledge, and performance during training. Computers in Human Behavior, 18, 241-255.

Raghuram, S., Wiesenfeld, B., & Garud, R. (2003). Technology enabled work: The role of self-efficacy in determining telecommuter adjustment and structuring behavior. Journal of Vocational Behavior, 63, 180-198.

Roberts, P., & Henderson, R. (2000). Information technology acceptance in a sample of government employees: A test of the technology acceptance model. Interacting with Computers, 12, 427-443.

Rosen, L. D., & Weil, M. M. (1995). Computer availability, computer experience and technophobia among public school teachers. Computers in Human Behavior, 11(1), 9-31.

Salanova, M., Grau, R. M., Llorens, S., & Cifre, E. (2000). Computer training, frequency of usage and burnout: The moderating role of computer self-efficacy. Computers in Human Behavior, 16, 575-590.

Salanova, M. 1., & Schaufeli, W. B. 2. (2000). Exposure to information technology and its relation to burnout. Behaviour & Information Technology, 19(5), 385-392.

Schaufeli, W. B., & Salanova, M. (2007). Efficacy or inefficacy, that’s the question: Burnout and work engagement, and their relationships with efficacy beliefs. Anxiety, Stress, and Coping, 20(2), 177-196.

Sheng, Y. P., Pearson, J. M., & Crosby, L. (2003). Organizational culture and employees’ computer self-efficacy: An emperical study. Information Resources Management Journal, 16(3), 42.

Shih, H. 1. (2006). Assessing the effects of self-efficacy and competence on individual satisfaction with computer use: An IT student perspective. Computers in Human Behavior, 22(6), 1012-1026.

Sievert, M. E. (1988). Investigating computer anxiety in an academic library. Information Technology and Libraries, 7(3), 243-252.

Sinha, S. P., Talwar, T., & Rajpal, R. (2002). Correlational study of organzational commitment, self-efficacy and psychological barriers to technology change. Psychologia, 45, 176-183.

Tella, A., Tella, A., & Adekunle, P. O. (2007). An assessment of librarian social competence and information technology self-efficacy: Implications for library practice in the digital era. PNLA Quarterly, 71(4), 12-16.

Thatcher, J. B., Gundlach, M. J., McKnight, D. H., & Srite, M. (2007). Individual and human-assisted computer self-efficacy: An empirical examination., 841-858. Available at http://www.aifb.uni-karlsruhe.de/Forschungsgruppen/BIK/wi2007/papers/wi-2007-1-051.pdf.

Topper, E. F. (2007). What’s new in libraries: Stress in the library workplace. New Library World, 108(11/12), 561-564.

Torkzadeh, G., Koufteros, X., & Pfughoeft, K. (2003). Confirmatory analysis of computer self-efficacy. Structural Equation Modeling, 10(2), 263-275.

Torkzadeh, R., Pfughoeft, K., & Hall, L. (1999). Computer self-efficacy, training effectiveness and user attitudes; am empirical study. Behaviour & Information Technology, 18(4), 299-309.

Weil, M. M., Rosen, L. D., & Wugalter, S. E. (1990). The etiology of computerphobia. Computers in Human Behavior, 6, 361-379.

Whitley, Bernard W. Jr. (1997). Gender differences in computer-related attitudes and behavior: A meta-analysis. Computers in Human Behavior, 13(1), 1-22.

Wilfong, J. D. (2006). Computer anxiety and anger: The impact of computer use, computer experience, and self-efficacy beliefs. Computers in Human Behavior, 22, 1001-1011.