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http://hdl.handle.net/123456789/11532
Title: | Talent Management And Organisational Performance At The Cocoa Health And Extension Division In Kumasi, Ghana |
Authors: | AFRIFA, PATRICIA |
Issue Date: | Sep-2023 |
Publisher: | University of Cape Coast |
Abstract: | The study examined the influence of talent management on the performance of Cocoa Health and Extension Division of Ghana Cocoa Board, Kumasi. Specifically, three (3) research objectives were investigated, to: assess the level of talent management practices from the perspective of employees; assess the employee perspective on the level of organisational performance; and analyse the effect of talent management on organisational performance. The study adopted the positivism philosophy thus relying on the quantitative approach and descriptive correlational design. A structured questionnaire was used to gather data from 217 sampled employees of the organisation. The data was then processed using the IBM SPSS Statistics (version 26) software. Both descriptive (means and standard deviations) and inferential statistics (multiple regression) were used to address objectives in the study. The study found talent attraction and recruitment, talent motivation, talent development and talent retention as the dimensions of talent management used in the organisation. The study also found high levels of organisational performance at the Cocoa Health and Extension Division of Ghana Cocoa Board. The study finally found that talent management through the dimensions had significant positive effect on performance of Cocoa Health and Extension Division of Ghana Cocoa Board. The study therefore recommends that management should engage in career progression, and development and creating an atmosphere of mutual trust among employees in order to strengthen talent management. |
Description: | x,83p:, ill. |
URI: | http://hdl.handle.net/123456789/11532 |
ISSN: | 23105496 |
Appears in Collections: | Department of Human Resource Management |
Files in This Item:
File | Description | Size | Format | |
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AFRIFA,2023.pdf | Masters Thesis | 1.7 MB | Adobe PDF | View/Open |
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