Adoption and acceptance of ICT innovations in Nigerian Public Universities

• Main Authors: Oye, N. D., A. Iahad, Noorminshah, Ab.Rahim, N.
• Format: Article
• Language: English
• Published: KEJA Publications 2011
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/13916/2/ijcset2011010719.pdf; http://eprints.utm.my/id/eprint/13916/
• Institution: Universiti Teknologi Malaysia

This paper examined the adoption and acceptance of ICT innovation in Nigerian Public Universities. This study was conducted at the university of Jos Plateau state, Nigeria as a pilot study. One hundred questionnaires were administered and collected, containing 23 UTAUT survey questions and 9 demographic statements totaling 32 questions. In addition, 57% of the respondents were male and 43% were female. The paper attempt to answer the questions (1) What are the barriers to using ICT by an academician? . Question Q32 which talk about barriers to use of ICT, have the majority of the respondents (42%) which said that their problem is time; on the other hand (31%) said that the problem is training. Others respondents (4%) said that cost are their problem, another group (20%) said that they need compensation and the final group (3%) said that, it does not fit their programme. This paper use regression analysis to verify the UTAUT Model. We use the regression analysis to check the influence of the independent variables (PE, EE, SI & FC) on the dependent variable (BI) which is the behavioral intention to accept and use ICT by the university academicians, using SPSS version 17. The major determining factors are the correlation (r), the variance (R2 ) and the p-value of significance. Figures 1-7, discusses the influence of the independent variables (PE, EE, SI & FC) on the dependent variable (BI) with their respective interpretations. From table 8, the best result is obtained by the influence of the four independent variables on the dependent variable BI. This is followed by the influence of the three independent variables ( PE, EE & FC) on BI. Finally the two independent variables that influence the BI most are the PE &EE. The findings have important implications for teaching and learning. PE and EE are found to be the most significant predictors of academic staff acceptance of ICT and use. Therefore the university academicians need to be aware of the possibility of using ICT for teaching and learning without too much difficulty. They need to learn the basics of the technologies that will be most useful in their teaching and learning. Recommendations made were that, all employed teachers in Federal, State and Private universities should undertake mandatory training and retraining on ICT programme.