Read full paper at:
This study discusses the need for improvement and innovation in universities so they can effectively serve students and stay ahead in competition. Many technologies and innovations are already being used in universities. However, in order to diffuse or spread technologies or innovations effectively, it is important to understand the reasons leading to the adoption of technologies and innovations in universities. Based on a number of established theories and models on innovation and technology adoption and acceptance, this study proposes a theoretical model that helps explain the factors responsible for innovation adoption within universities. Measures for the study were adopted from previous studies, and an online questionnaire was used. Exploratory and confirmatory factor analyses were used to test and better understand the underlying structure of the proposed model. Reliability and validity of the proposed model were also examined. The initially proposed model seems to help in explaining the adoption of innovations within universities and is of value to researchers when investigating adoption within universities.
Cite this paper
Hariri, A. and Roberts, P. (2015) Adoption of Innovation within Universities: Proposing and Testing an Initial Model. Creative Education, 6, 186-203. doi: 10.4236/ce.2015.62017.
|||Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
|||Brace, N., Kemp, R., & Snelgar, R. (2012). SPSS for Psychologists. Basingstoke: Palgrave Macmillan.|
|||Bryman, A. (2008). Social Research Methods (3rd ed.). Oxford, NY: Oxford University Press.|
|||Byrne, B. M. (2010). Structural Equation Modeling with Amos: Basic Concepts, Applications, and Programming (2nd ed.). New York: Taylor and Francis Group.|
|||Cohen, L., Manion, L., & Morrison, K. (2011). Research Methods in Education (7th ed.). New York: Routledge.|
|||Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19, 23.
|||Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319–340.
|||Davis, F. D. (1985). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Massachusetts Institute of Technology.
|||Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two. Management Science, 35, 982-1003.
|||Dooley, K. E. (1999). Towards a Holistic Model for the Diffusion of Educational Technologies: An Integrative Review of Educational Innovation Studies. Educational Technology & Society, 2.|
|||El-Gayar, O. F., & Moran, M. (2006). College Students’ Acceptance of Tablet PCs: An Application of the UTAUT Model. Decision Sciences Institute (DSI), 2845-2850.
|||Field, A. (2009). Discovering Statistics Using SPSS (3rd ed.). London: Sage Publications.|
|||Gaskin, J. (2012). Stats Wiki and Stats Tools Package.
|||Gogus, A., Nistor, N., & Lerche, T. (2012). Educational Technology Acceptance across Cultures: A Validation of the Unified Theory of Acceptance and Use of Technology in the Context of Turkish National Culture. Turkish Online Journal of Educational Technology, 11, 394-408.|
|||Greenhalgh, T., Robert, G., Macfarlane, F., Bate, P., & Kyriakidou, O. (2005). Diffusion of Innovations in Health Service Organisations: A Systematic Literature Review. Malden, MA: Blackwell.|
|||Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate Data Analysis: A Global Perspective (7th ed.). London: Pearson Education.|
|||Hariri, A., & Roberts, P. (2014). Challenges and Issues Hindering Innovation in UK Universities. International Journal of Management and Marketing Academy, 2, 41-54.|
|||Hsu, H. (2012). The Acceptance of Moodle: An Empirical Study Based on UTAUT. Creative Education, 3, 44-46.
|||Jong, D., & Wang, T. (2009). Student Acceptance of Web-Based Learning System. In Proceedings of the 2009 International Symposium on Web Information Systems and Applications (pp. 533-536). Nanchang: Academy Publisher.|
|||Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information Technology Adoption across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23, 183-213.
|||Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors Influencing Health Information Technology Adoption in Thailand’s Community Health Centers: Applying the UTAUT Model. International Journal of Medical Informatics, 78, 404-416.
|||Lakhal, S., Khechine, H., & Pascot, D. (2013). Student Behavioural Intentions to Use Desktop Video Conferencing in a Distance Course: Integration of Autonomy to the UTAUT Model. Journal of Computing in Higher Education, 25, 93-121.
|||Lonn, S., & Teasley, S. D. (2009). Saving Time or Innovating Practice: Investigating Perceptions and Uses of Learning Management Systems. Computers & Education, 53, 686-694.
|||MacKenzie, S. B., & Podsakoff, P. M. (2012). Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies. Journal of Retailing, 88, 542-555.
|||Marques, B., Villate, J., & Carvalho, C. (2011). Applying the UTAUT Model in Engineering Higher Education: Teacher’s Technology Adoption. In 6th Iberian Conference on Information Systems and Technologies (CISTI). Chaves: Institute of Electrical and Electronics Engineers (IEEE).
|||Martins, L. L., & Kellermanns, F. W. (2004). A Model of Business School Students’ Acceptance of a Web-Based Course Management System. Academy of Management Learning & Education, 3, 7-26.
|||Miller, J., Martineau, L., & Clark, R. (2000). Technology Infusion and Higher Education: Changing Teaching and Learning. Innovative Higher Education, 24, 227-241.
|||Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2, 192-222.
|||Nachmias, R., & Ram, J. (2009). Research Insights from a Decade of Campus-Wide Implementation of Web-Supported Academic Instruction at Tel Aviv University. International Review of Research in Open and Distance Learning, 10, 1-16.|
|||Nistor, N., Wagner, M., Istvanffy, E., & Dragota, M. (2010). The Unified Theory of Acceptance and Use of Technology: Verifying the Model from a European Perspective. International Journal of Knowledge and Learning, 6, 185-199.
|||Odumeru, J. A. (2013). Going Cashless: Adoption of Mobile Banking in Nigeria. Arabian Journal of Business and Management Review, 1, 9-17.|
|||Oshlyansky, L., Cairns, P., & Thimbleby, H. (2007). Validating the Unified Theory of Acceptance and Use of Technology (UTAUT) Tool Cross-Culturally. Proceedings of the 21st BCS HCI Group Conference, 2, 83-86.|
|||Oye, Nathaniel, A.Iahad, N., & Ab.Rahim, Nor Zairah (2012). The Impact of UTAUT Model and ICT Theoretical Framework on University Academic Staff: Focus on Adamawa State University, Nigeria. International Journal of Computers & Technology, 2, 102-111.|
|||Rogers, E. M. (2003). Diffusion of Innovations. New York: Free Press.|
|||Schumacker, R., & Lomax, R. (2010). A Beginner’s Guide to Structural Equation Modeling. New York: Routledge.|
|||Soffer, T., Nachmias, R., & Ram, J. (2010). Diffusion of Web Supported Instruction in Higher Education—The Case of Tel-Aviv University. Educational Technology & Society, 13, 212-223.|
|||Straub, D., Boudreau, M.-C., & Gefen, D. (2004). Validation Guidelines for IS Positivist Research. Communications of the Association for Information Systems, 13, 380-427.|
|||Sumak, B., Polancic, G., & Hericko, M. (2010). An Empirical Study of Virtual Learning Environment Adoption Using UTAUT. In Proceedings of the 2nd International Conference on Mobile, Hybrid, and On-Line Learning (ELML’10) (pp. 17-22). Saint Maarten: IEEE.|
|||Suoranta, M. (2003). Adoption of Mobile Banking in Finland. Jyv?skyl? Studies in Business and Economics, University of Jyv?skyl?. https://jyx.jyu.fi/dspace/bitstream/handle/123456789/13203/9513916545.pdf?sequence=1|
|||Tabata, L. N., & Johnsrud, L. K. (2008). The Impact of Faculty Attitudes toward Technology, Distance Education, and Innovation. Research in Higher Education, 49, 625-646.
|||Tornatzky, L. G., & Klein, K. J. (1982). Innovation Characteristics and Innovation Adoption-Implementation: A Meta-Analysis of Findings. IEEE Transactions on Engineering Management, 29, 28-45.
|||Venkatesh, V., & Davis, F. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186-204.
|||Venkatesh, V., & Davis, F. D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27, 451-481.
|||Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27, 425-478.|
|||Wejnert, B. (2002). Integrating Models of Diffusion of Innovations: A Conceptual Framework. Annual Review of Sociology, 28, 297-326.
|||Yamin, M., & Lee, Y. (2010). Level of Acceptance and Factors Influencing Students’ Intention to Use UCSI University’s e-Mail System. 2010 International Conference on User Science and Engineering, Shah Alam, 13-15 December 2010, 26-31.
|||Zemsky, R., & Massy, W. (2004). Thwarted Innovation: What Happened to e-Learning and Why.