ISSN: 2222-6990
Open access
One of the recent resources used at university libraries is institutional repositories (IRs) which have been considered one of the disseminating and preserving ways for academic research publications. IRs have received considerable attention from researchers across disciplines and around the globe. While that have potentially increased public value, ranking, prestige and visibility of researchers and relevant universities. In this regard, the main aim of this paper is to determine researchers’ attitude concerning the utilization of institutional repositories via a modified Technology Acceptance Model at the University Putra Malaysia (UPM). A structured questionnaire was designed, and a survey was taken using a sample of 90 researchers. The results showed that researchers were aware of the institutional repository and had an attitude an interest of presenting their research to their university repository. They were under the impression that by presenting their research to the institutional repository, their university ranking will increase in addition to the citation impact of their research work.
Abbas, H. A. (2016). Subjective Norm as Antecedents of Consumers’ Behavioral Intentions to Use Smart Phones in Arab World. Journal of Mobile Technologies, Knowledge and Society.
Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238–256.
Agudo-Peregrina, A. F., Hernandez-Garcia, A., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301–314.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social. Behaviour. Englewood Cliffs, NJ: Prentice-Hall.
Anenene, E. E., Alegbeleye, G. B., & Oyewole, O. (2017). Factors contributing to the adoption of institutional repositories in Universities in South- West Nigeria: Perspectives of library staff. Library Philosophy and Practice, 2017(1).
Asadi, S., Nilashi, M., Husin, A. R. C., & Yadegaridehkordi, E. (2017). Customers perspectives on adoption of cloud computing in banking sector. Information Technology and Management, 18(4), 305–330.
Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies, 2(2), 285–309.
Bertrand, M., & Bouchard, S. (2008). Applying the technology acceptance model to vr with people who are favorable to its use. Journal of Cyber Therapy and Rehabilitation, 1(2), 200–207.
Çelik, H. (2011). Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shopping: An empirical study in the Turkish context. International Journal of Retail & Distribution Management, 39(6), 390–413.
Chen, Y., Lin, Y., Yeh, R. C., & Lou, S. (2013). Examining factors affecting college students’ intention to use web-based instruction systems: Towards an integrated model. The Turkish Online Journal of Educational Technology, 12(2), 111–122.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
Ching-Ter, C., Hajiyev, J., & Su, C. R. (2017). Examining the students’ behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach. Computers and Education, 111, 128–143.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of. MIS Quarterly, 13(3), 319–340.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382–388.
Groves, M. M., & Zemel, P. C. (2000). Instructional technology adoption in higher education: An action research case study. International Journal of Instructional Media, 27(1), 57–65.
Hair, J. J. F. (2013). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Hsu, M. K., Wang, S. W., & Chiu, K. K. (2009). Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners. Computers in Human Behavior, 25(2), 412–420.
Khatatneh, N. A. K., & Teh, K. S. M. (2018). The Effects of Computerized Learning Games on the Third Grade Students in Karak Governorate. International Journal of Academic Research in Progressive Education and Development, 7(2), 96–111.
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755.
Lai, P. C. (2017). The Literature Review of Technology Adoption Models and Theories For The Novelty Technology. JISTEM-Journal of Information Systems and
In-Text Citation: (Asadi, Abdullah, Jusoh & Sidi, 2019)
To Cite this Article: Asadi, S., Abdullah, R., Jusoh, Y. Y., Sidi, F. (2019). Exploring Researchers’ Attitude toward the Using of Institutional Repositories at University Putra Malaysia. International Journal of Academic Research in Business and Social Sciences, 9(13), 1012–1024.
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