Orientation – Talent mindset (TM) and organisational commitment (OC) are two separate constructs and it appears that a positive relationship exists between these two constructs.
Research Purpose – The study aims to determine the relationship between the talent mindset and organisational commitment of academic heads of departments.
Motivation for the Study – There is a vast problem in the higher education sector with regards to retaining academic staff members. In order for higher education institutions to attract and more specifically retain academic talent, one needs to implement a sound talent management model. Before such a model can be implemented with success, the organisation first needs to have a positive talent mindset. The relationship between talent mindset and organisational commitment may provide a means to develop appropriate interventions or strategies in order to enhance the talent mindset by focusing on improving the organisational commitment and vice versa.
Research Design, Approach and Method – Two instruments, namely the Talent Mindset Index (TMI) and Organisational Commitment Questionnaire (OCQ), were administered to a sample of 116 heads of departments at a leading university in South Africa, 53 completed questionnaires were obtained. The responses were analysed using correlation analysis and quantitative techniques.
Main Findings – Results confirm that the presence of OC is associated with a positive TM
Practical / Managerial Implications – The study provides evidence that there is a correlation between OC and the TM of academic heads of departments. Thus, if management utilises existing techniques to increase OC, this should lead to the enhancement of the head of departments’ TM. The enhanced TM would equip them to implement a talent management model to attract and retain academic staff.
Contribution / Value Add – By enhancing the TM of the heads of departments through utilising existing techniques to increase OC, management should be in a stronger position to implement a talent management model effectively.