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. (C) 2018 The Authors. Published by Elsevier Inc.
机构:
Univ Johannesburg, Coll Business & Econ, Dept Ind & People Management, Johannesburg, South AfricaUniv Johannesburg, Coll Business & Econ, Dept Ind & People Management, Johannesburg, South Africa
Saurombe, Musawenkosi Donia
Barkhuizen, Emmerentia Nicolene
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机构:
Univ Johannesburg, Coll Business & Econ, Dept Ind & People Management, Johannesburg, South AfricaUniv Johannesburg, Coll Business & Econ, Dept Ind & People Management, Johannesburg, South Africa
机构:
Southern Business Sch, Sch Business & Econ, Dept Business Adm, Johannesburg, South AfricaSouthern Business Sch, Sch Business & Econ, Dept Business Adm, Johannesburg, South Africa
Amushila, Jacobina
Bussin, Mark H. R.
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Southern Business Sch, Fac Management, Dept Management, Johannesburg, South AfricaSouthern Business Sch, Sch Business & Econ, Dept Business Adm, Johannesburg, South Africa