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Knowledge of Electronic Databases as Predictors Research Productivity of Academic Staff in Nigerian Private Universities
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The quality of teaching, research and community service of lecturers coupled with their publication in any university system depend on the quality of the electronic database they use. This study therefore, investigated the knowledge of electronic databases as predictors of research productivity of academic staff in private universities in South-west, Nigeria.
The descriptive survey research design of the correlational type was adopted. A total of 1656 academic staff in in the 21 private universities were sampled. Stratified random sampling technique was used to select 60% academic staff across the ranks in 21 private universities. Data were analysed using descriptive statistics, Spearman’s rank and multiple regression at 0.05 level of significance.
Knowledge of electronic databases variables were positively and significantly correlated with research productivity of academic staff. The study recommended Specific training/re-training and user education of academic staff on the acquisition of ICT skills in their various disciplines for research.
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This is paper is from the PhD thesis of Mr. BASIRU ADETOMIWA submitted to the University of Ibadan, and supervised by Professor A. O. Okwilagwe.