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Role of Self-Efficacy in E-Library Usage among Students of a Public University in Malaysia.

Ramayah T., and Aafaqi, Bushra, (2004) Role of Self-Efficacy in E-Library Usage among Students of a Public University in Malaysia. Malaysian Journal of Library & Information Science, 9 (1). pp. 39-57. ISSN 1394-6234

Full text not available from this repository.

Official URL: http://ejum.fsktm.um.edu.my/ArticleInformation.aspx?ArticleID=276

Affiliations

Universiti Sains Malaysia, School of Management

Abstract

This study looked at the influence of self-efficacy on e-library usage by 704 university students from four different schools in a Malaysian public university -, School of Humanities, School of Mass Communication, School of Chemistry and School of Biology. The results of the study suggest that self-efficacy has a significant direct impact on perceived usefulness and perceived ease of use when predicting e-library usage. Results also suggest that self-efficacy, perceived ease of use and perceived usefulness have direct significant impact on e-library usage. The results further indicate that perceived ease of use fully mediates self-efficacy when explaining e-library usage and perceived usefulness fully mediates perceived ease of use when predicting e-library usage.

Item Type:Journal
Keywords:Self-efficacy; Technology Acceptance Model (TAM); Perceived Ease of Use (PEU); Perceived Usefulness (PU); e-Library; Electronic resources usage.
Subjects:Z Bibliography. Library Science. Information Science
ID Code:544

Agarwal, R., and Prasad, J. 1999. Are individual differences germane to the acceptance of new technologies? Decision Sciences, Vol.30, no.2:361-391.

Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 50:179-211.

Ajzen, I. and Fishbein, M. 1980. Understanding attitudes and predicting social behavior. NJ: Prentice-Hall.

Akla, W. I. 2002. Perpustakaan Digital@ Marya@Elektronik, Jendela, Buletin Perpustakaan USM, Buletin Bil. 1.

Bandura, A. 1986. Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-Hall.

Baron, R. M. and Kenny, D. A. 1986. The moderator-mediator variable distinction in social psychological research: conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology. Vol. 51, no. 6:1173-1182.

Chau, P.Y.K. 1996. An empirical investigation on factors affecting the acceptance of CASE by systems developers. Information and Management. Vol.30, no. 4:269-280.

Chau, P. Y. K. 2001. Influence of computer attitude and self-efficacy on IT usage behavior. Journal of End User Computing. Vol.13, no.1:26-33.

Compeau, D. R. and Higgins, C. A. 1995. Computer self-efficacy: development of a measure and initial test. MIS Quarterly. Vol.19,no.2:189-211.

Davis, F.D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, Vol.13:319-40.

Davis, F.D. 1993. User acceptance of computer technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies. Vol.38, 475-87.

Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science. Vol.35, no.8:982-1003.

Decker, C. A. 1998. Training transfer: perceptions of computer use self-efficacy among university employees. Journal of Vocational and Technical Education. Vol.14, no.2.

Dishaw, M.T., and Strong, D.M. 1999. Extending the technology acceptance model with task-technology fit constructs. Information and Management. Vol.36:9-21.

Fishbein, M., and Ajzen, I. 1975. Belief, attitude, intention and behavior: an introduction to theory and research. Reading, MA: Addison-Wesley.

Igbaria, M. 1993. User acceptance of microcomputer technology: an empirical test. OMEGA International Journal of Management Science. Vol.21:73-90.

Igbaria, M. and Iivari, J. 1995. The effects of self-efficacy on computer usage. OMEGA International Journal of Management Science. Vol.23, no.6:587-605.

Igabria, M., Iivari, J., and Maragahh, H. 1995. Why do individuals use computer technology? A Finnish case study. Journal of Information & Management. Vol.29:227-238.

Igbaria, M., Schiffman, S.J., and Weickowski, T.J. 1994. The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology. Behavior and Information Technology. Vol.13, 349-61.

Igbaria, M., Zinatelli, N., Cragg, P., and Cavaye, A. 1997. Personal computing acceptance factors in small firms: a structural equation model. MIS Quarterly. Vol. 29, no.3:279-305.

Jackson, C.M., Chow, S., and Leitch, R.A. 1997. Toward an understanding of the behavioral intention to use an information system. Decision Sciences. Vol.28, no.2:357-389.

Jantan, M., Ramayah, T., and Chin, W.W. 2001. Personal computer acceptance by small and medium companies: Evidence from Malaysia. Jurnal Manajemen & Bisnis. Vol.3, no.1:1-14.

Liu, L., and Grandon, E. E. 2002. How performance and self-efficacy influence the ease of use of object-orientation: The moderating effect of prior training. Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS’03).

Lopez, D. A. and Manson, D. P. 1997. A study of individual computer self-efficacy and perceived usefulness of the empowered desktop information system. pp. 83-92. Available at: www.csupomona.edu/~jis/1997/Lopez.pdf.

Mathieson, K. 1991. Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research. Vol.2, no.3:173-191.

McKinnon, D. P., Warsi, G., and Dwyer, J. H. 1995. A simulation study of mediated effect measures. Multivariate Behavioral Research, Vol. 30, no. 1: 41-62.

Moore, G. C., and Benbasat, I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research. Vol.2, no.3:192-222.

Ndubisi, N.O., Jantan, M., and Richardson, S. 2001. Is the technology acceptance model valid for entrepreneurs? Model testing and examining usage determinants. Asian Academy of Management Journal. Vol.6, no.2:31-54.

Pintrich, P. R. and Garcia, T. 1991. Students goal orientation and self-regulation in the college classroom, In: M. Maehr, P.R. Pintrich, eds. Advances in motivation and achievement: Goals and self-regulatory processes, pp. 371-402. Greenwich, CT: JAI Press.

Ren, W.H. 2000. Library instruction and college student self-sufficiency in electronic information searching. Journal of Academic Librarianship. Vol.26, no.5:323-328.

Schunk, D. H. 1994. Self-regulation of self-efficacy and attributions in academic settings. In: D.H. Schunk, and B. J. Zimmerman, Self-regulation of learning and performance: Issues and educational applications, pp. 75-99. Hillsdale, NJ: Lawrence Erlbaum.

Straub, D., Keil, M., and Brenner, W. 1997. Testing the technology acceptance model across cultures: A three country study. Information and Management. Vol.33:1-11.

Taylor, S., and Todd, P. 1995. Assessing IT usage: The role of prior experience. MIS Quarterly. Vol.19, no.4:561-571.

Thompson, R.L., Higgins, C., and Howell, J. M. 1991. Personal computing: Toward a conceptual model of utilization. MIS Quarterly. Vol.15, no.1:125-143.

Thong, J. Y. L., Hong, W and Tam, K.Y. 2002. Understanding user acceptance of digital library: What are the roles of interface characteristics, organizational context, and individual differences?. International Journal Human-computer Studies. Vol.57, pp. 215-242. Available at: http://www.idealibrary.com.om.

Venkatesh, V. and Davis, F.D 1994. Modeling the determinants of perceived ease of use. Abstract from: International Conference on Information Systems. Available at: http://webfoot.csom.umn.edu/faculty/phds/venki/cse2.htm

Venkatesh, V., and Davis, F. D. 1997. A model of the antecedents of perceived ease of use: Development and test. Decision Sciences. Available at: http://www.CSE1ai.htm

Waldman, M. 2003. Freshmen’s use of library electronic resources and self-efficacy. Information Research. Vol.8, no.2, paper no. 150. Available at: http://informationr.net/ir/8-2/paper150.htm

Yi, M. Y., and Venkatesh, V. 1996. Role of computer self-efficacy in predicting user acceptance and use of information technology. Available at: http://hsb.baylor.edu/ramsower/ais.ac96/papers/mun.html

Zhang, J., Li, F., Duan, C., and Wu, G. 2001. Research on Self-efficacy of Distance Learning and its Influence to Learners' Attainments, In: C. H. Lee (Eds.), Proceedings of the International Conference on Computers in Education/SchoolNet, pp. 1510-1517. Incheon Korea: Incheon National University of Education.

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