Effective Predictors on Acceptance of Online Databases by University Faculty Members

Document Type : Research Article

Authors

• fariba nazari ¹
• fariborz khosravi ²
• Fatemeh Nooshinfard ³

¹ Doctoral student in the field of librarianship and information, Islamic Azad University, Science and Research Branch, Tehran

² Assistant professor of National Library and Documentation Organization of the Islamic Republic of Iran

³ Assistant Professor of Library and Information Sciences, Islamic Azad University, Science and Research Branch, Tehran

10.22067/riis.v2i2.13339

Abstract

Purpose: This study aimed at determining the effective predictors on the acceptance and using of online databases by faculty members of Islamic Azad University in eight regions based on Roger's Diffusion of Innovation theory.

Method: The research method is an analytical survey and data were collected through a questionnaire. The sample included 351 faculty members who were selected randomly via stratified sampling procedure.

Findings: Data analysis was carried out through SPSS (version17). Results showed a significant difference at the level (p

Keywords

• Acceptance
• Faculty members
• Islamic Azad University
• Online Databases
• Roger's Diffusion of Innovation Theory

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References

Agbonlahor, R. (2006). Motivation for Use of Information Technology by University Faculty: adeveloping country perspective. Information Development, 22(4), 263-277.

Al-Gahtani, S.S.(2003) .Computer Technology Adoption in Saudi Arabia:Correlates of Perceived InnovationAttributing,.InformationTechnology for Development, 10(1),57-69.

Carter, M. T. (1997). Factors affecting use of e-mail by public school principals of central Appalachian region. Doctoral dissertation, East Tennessee State University,Johnson City.

Drinjak, J., Altmann, G., & Joyce, P. (2001). Justifying investments in electronic commerce. Paper presented at In Proceedings of the 12th Australia Conference on Information Systems. 4-7 December:187-98.

Janardhanam, K., R. Sinha, & S. Babu V.(2011). Adoption of New Technology ‎in B-School: An Analytical Study of Bangalore.In‎ international ‎Conference of the Association for Technology and Business Management (CTBM-11).Dubai: SZABIST.

Krejcie, R. V., & D. W. Morgan (1970). Determining Sample Size for Research Activities.Educational and psychological Measurement, 30(3): 607-10.

Lin.C.(1998).Explring personal computer adoption dynamics. Journal of Broadcasting & Electronic Media, 42(1),95-103.

Lorenzo Tarpley, Jr (2010). Leadership and Adoption of Instructional Technology in a Military Medical Learning Environment: A Case Study. Journal of American society for information Science, 48(6),508-518.

Polatoglu,V.N.,& Ekin,S.(2001).An empirical investigationof the Turkish consumers' acceptance on Internet banking services,The International Journal of Bank Marketing, 19(4 &5),156-166.

Rogers, E. M.(2003). Diffusion of Innovations.5 ed. New York: Free Press.

Sekaran, U.(2000). Research Methods for Business: A Skill-Building Approach. New York: John Wiley and Sons, Inc.

Stevens,P.M.,Williams,K.P., & Smith, M. C.(2000). Organizational communication and information process in an Internet-enabled environment, Psychology & Marketing, 17,607-632.

Surry, D.W., & Gustafson, K. L. (1994).The role of perceptions in instructional development and adoption. ERIC Document Reproduction Service No. 373765.

Tan, M., & Teo, T. S. H. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for Information Systems, 1,1-42.

Tomatzky,L.G., & Klein,K.(1982) Innovation characteristics and innovation adoption implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management. 29, 28-45.

Usluel, Y. K., Aşkar, P., & Baş, T. (2008). A Structural Equation Model for ICT Usage in Higher Education. Educational Technology & Society, 11(2), 262-273.