Skip to main content

Advertisement

Log in

The history of UTAUT model and its impact on ICT acceptance and usage by academicians

  • Published:
Education and Information Technologies Aims and scope Submit manuscript

Abstract

This paper started with the review of the history of technology acceptance model from TRA to UTAUT. The expected contribution is to bring to lime light the current development stage of the technology acceptance model. Based on this, the paper examined the impact of UTAUT model on ICT acceptance and usage in HEIs. The UTAUT model theory was verified using regressions analysis to understand the behavioral intention of the ADSU academic staffs’ acceptance and use of ICT in their workplace. The research objective is to measure the most influential factors for the acceptance and usage of ICT by ADSU academic staff and to identify the barriers. Two null hypotheses were stated: (1) the academic staff of ADSU rejects acceptance and usage of ICT in their workplace. (2) UTAUT does not predict the successful acceptance of ICT by the academic staff of the Adamawa State University. In summary, our findings shows that the four constructs of UTAUT have significant positive influence and impact on the behavioral intention to accept and use ICT by the ADSU academic staff. This shows that university academic staff will intend to use ICT that they believe will improve their job performance and are easy to use. The facilitating conditions such as appropriate hardware, software, training and support should be in place by the management. In the Adamawa State University, EE and SI are found to be the most influential predictors of academic staff acceptance of ICT and use among the four constructs of UTAUT. The greatest barriers are time and technical support for staff. Knowledge gained from the study is beneficial to both the university academic staff and the Nigerian ICT policy makers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Aduke, A. F. (2008). Usage and challenges of information and technology (ICT) in teaching and learning in Nigerian Universities. Asian Journal of Information Technology, 7(7), 290–295.

    Google Scholar 

  • Archibong, I. A., & Effiom, D. O. (2009). ICT in university education: usage and challenges among academic staff. Africa Research Review, 3(2), 404–414.

    Google Scholar 

  • Bagozzi, R. P. (2007). The legacy of technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244–254.

    Google Scholar 

  • Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human Relations, 45(7), 660–686.

    Article  Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340.

    Article  Google Scholar 

  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic moyivation to use computers in workplace. Journal of Applied Social Psychology, 22, 1111–1132.

    Article  Google Scholar 

  • Ekundayo, M. S., & Ekundayo, J. M. (2009). Capacity contraints in developing countries: A need for more e-learning space? The case of Nigeria. Paper presented at the Proceeding ascilite Auckland.

  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: In An introduction to theory and research reading. MA: Addison- Wesley.

    Google Scholar 

  • Gubahar, Y. (2008). ICT usage in higher education: a case study on preservice teacher and instructors. The Turkish Online Journal of Educational Technology, 7(1).

  • Ijeoma, A. A., Joseph, E. O., & Franca, A. (2010). ICT competence among academic staff in universities in Cross Rivers State, Nigeria. Computer and Information Science, 3(4), 109–115.

    Google Scholar 

  • Jimoh, A. T. (2007). Students’ attitude towards ICT in Nigeria tertiary institutions. Education Focus, 1(1), 73–79.

    Google Scholar 

  • Johnson, O. A. (2007). Enhancing Quality in Higher Education through Information and Communication Technology in Nigeria. In J. B. Babalola, Akpan, G. O., Ayeni, A. O. & Adedeji, S. O. (Ed.), Access, equity and quality in higher education. NAEAP Publication.

  • Kumpulainen, K. (Ed.). (2007). Educational technology: Opportunities and challenges. Oulu: University of Oulu.

    Google Scholar 

  • Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A Critical Review of the technology Acceptance Model. Information and Management, 40, 191–204.

    Article  Google Scholar 

  • Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2, 173–191.

    Article  Google Scholar 

  • Meister, D. B., Compeau, D. R. (2002). Infusion of innovation adoption: An individual perspective. Paper presented at the ASAC.

  • Ofodu, G. O. (2007). Nigeria literacy educators and their technological needs in a digital age. Education Focus, 1(1), 22–30.

    Google Scholar 

  • Ogunsola, L. A., Aboyade, W. A. (2005). Information and Communication Technology in Nigeria: Revolution or Evolution. 11(1), 7–14

  • Ogunsola, L. A., & Aboyade, W. A. (2005b). Information and communication technology in Nigeria: revolution or evolution. Journal of Social Sciences, 11(1), 7–14.

    Google Scholar 

  • Oye, N. D., Salleh, M., & Iahad, N. A. (2010). Holistic E-learning in Nigerian higher education institutions. Journal of Computing, 2(11), 20–26.

    Google Scholar 

  • Oye, N. D., Salleh, M., & Iahad, N. A. (2011). Challenges of E-learning in Nigerian University Education based on the experience of developed countries. International Journal of Managing Information Technology, 3(2), 39–48.

    Article  Google Scholar 

  • Oyeyinka, B., & Adeya, C. N. (2004). Dynamics of adoption and usage of ICTs in African universities: a study of Kenya and Nigeria. Technovation, 24, 841–851.

    Article  Google Scholar 

  • Pajo, K. B., & Wallace, C. (2001). Barriers to the uptake of web-based technology by university teachers. Journal of Distance Education, 16, 70–84.

    Google Scholar 

  • Pijpers, G. (2001). Executives’ use of information technology: an examination of factors influencing managerial beliefs, attitudes and use of information technology. Information and Software Technology, 43(15), 959–971.

    Article  Google Scholar 

  • Plouffe, C. R., Hulland, J. S., & Vandenbosch, M. (2001). Research report: richness versus parsimony in modeling technology adoption decisions-- understanding merchant adoption of a smart card-based payment systems. Informatiom Systems Research, 12(2), 208–222.

    Article  Google Scholar 

  • Pulkkinen, J. (2007). Cultural globalizationand integration of ICT in education. In K. E. Kumpulainen (Ed.), Educational technology: Opportunities and challenges (pp. 13–23). Oulu: University of Oulu.

    Google Scholar 

  • Steward, T. (1986). Task fit, ease-of-use and computer facilities. In N. Bjørn-Andersen, K. Eason, & D. Robey (Eds.), Managing computer impact: An international Study of management and organizations (pp. 63–76). Norwood: Ablex.

    Google Scholar 

  • Surry, D. W., & Ensminger, D.C. (2006). Facilitating the use of web based learning by higher education faculty [Electronic Version], 16. Retrieved March 18, 2007 from ERIC Database,

  • Taylor, S., & Todd, P. (1995). Assessing IT usage: the role of prior experience. MIS Quarterly, 19(4), 561–570.

    Article  Google Scholar 

  • Taylor, S., & Todd, P. (2001). Understanding information technology usage: a test of cometing models. Informatiom Systems Research, 6, 144–176.

    Article  Google Scholar 

  • Tornatzky, L. G., & Klein, R. J. (1982). Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. IEEE Transactions on Engineering management (EM-29), 28–45.

  • Usluel, Y. K., Askar, P., & Bas, T. (2008). A structural equation model for ICT usage in higher education. Educational Technology & Society, 11, 262–273.

    Google Scholar 

  • Vallerand, R. J. (1997). Towards a hierarchical model of intrinsic and extrinsic motivation. New York: Academic.

    Google Scholar 

  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186–204.

    Article  Google Scholar 

  • Venkatesh, V., Morris, M. G., Davis, F. D., & Davis, G. B. (2003). User acceptance of information technology: towards a unified view. MIS Quarterly, 27(3), 425–478.

    Google Scholar 

  • Wood, D. (1995). Theory, training, and technology. Education and Training, 37(1), 12–16.

    Article  Google Scholar 

  • York University. (2007). theories used in IS research (Publication. Retrieved October 2, 2007:

  • Yusuf, M. O. (2005). Information and communication technology and education. Analysing the Nigerian National Policy for Information Technology. International Education Journal, 6(3), 316–321.

    Google Scholar 

  • Zhang, P., Li, N., & Sun, H. (2006). Affective Quality and Cognitive Absorption: Extending Technology Acceptance Research. Paper presented at the The Hawaii International Conference on System Sciences

Download references

Acknowledgment

The authors would like to thank Prof. V. Venkatesh for allowing the use of UTAUT for this research. In addition, the authors gratefully acknowledge UTM, Research Universiti Malaysia for their support and encouragement.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to N. D. Oye.

Appendix

Appendix

1.1 The UTAUT survey (A)

Important: When completing the questionnaire, please keep in mind that we are using ICT in the context of teaching and learning, by the university academicians. ICT here refers to the application of digital equipments to all aspects of teaching and learning, which encompasses (PC, TV, Radio, Cellular phones, Laptops, overhead projectors, slide projectors, power-point projector, electronic boards, internet, hardware, software, and any technology specific to your teaching area).

Please rate each of the following on 1-5 Likert scale. Where (1) is “Strongly Disagree,” (2) is “Disagree”, (3) is” Neither Agree or Disagree”, (4) is “Agree”, and (5) is “Strongly Agree”.

figure d
figure e
figure f

Rights and permissions

Reprints and permissions

About this article

Cite this article

Oye, N.D., A.Iahad, N. & Ab.Rahim, N. The history of UTAUT model and its impact on ICT acceptance and usage by academicians. Educ Inf Technol 19, 251–270 (2014). https://doi.org/10.1007/s10639-012-9189-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10639-012-9189-9

Keywords

Navigation