Data regarding talent management practices and innovation performance of academic staff in a technology-driven private university

Publication date: August 2018
Source:Data in Brief, Volume 19
Author(s): Odunayo Salau, Adewale Osibanjo, Anthonia Adeniji, Olumuyiwa Oludayo, Hezekiah Falola, Ebeguki Igbinoba, Opeyemi Ogueyungbo
The article presented an integrated data on talent management practices and innovation performance of academic staff in a technology-driven private university in Nigeria. The study adopted a quantitative approach with a survey research design to establish the major determinants of talent management practices. The population of this study included academic staff and the use of questionnaire was adopted to elicit from the study population. Data was analysed with the use of structural equation modelling and the field data set is made widely accessible to enable critical or a more comprehensive investigation. The findings identified talent development and retention strategies as predictors for facilitating innovation performance in the sample University. It was recommended that management of the sampled university will consistently need to adopt reliable range of strategies to attract and retain people for excellence performance.



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