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Improved performance prediction and the implications for the efficient frontier

Mini Dissertation (MBA)--University of Pretoria, 2019.

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Other Authors: Sutherland, Margie
Format: Thesis
Language:English
Published: University of Pretoria 2020
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access_status_str Open Access
author2 Sutherland, Margie
author_browse Sutherland, Margie
author_facet Sutherland, Margie
collection Thesis
dc_rights_str_mv © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Mini Dissertation (MBA)--University of Pretoria, 2019.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:37.270Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2020
publishDateRange 2020
publishDateSort 2020
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/73952 Improved performance prediction and the implications for the efficient frontier Sutherland, Margie ichelp@gibs.co.za du Plooy, Adriaan Willem UCTD Mini Dissertation (MBA)--University of Pretoria, 2019. The rapid expansion of the tertiary education sector globally and the complexity within which it must operate has required a new focus on managerial capacity and how it is acquired. There is a pressing need to develop and support good leaders and managers as academic institutions are increasingly run like businesses. This may affect the career transition of the specialist academic into a mid-level management role as the transition has been shown to be one of the most challenging crossroads that the individual will face with a high degree of failure. A qualitative, exploratory research methodology was followed to gain new insights into the unexplored area of career transition for academic specialists who decide to climb the managerial career ladder. Twenty-one semi-structured in-depth interviews were conducted with eight heads of departments, six senior-level managers and six human resource professionals within a tertiary education institution in South Africa. The findings of the research confirm what the literature says around how extremely difficult it is for the specialist academic to career transition to a mid-level management role. The study showed that the competencies are vastly different and that the specialist is role confused and struggles to move from managing themselves to managing a team. Additional barriers to career transition in the study was the lack of support from within the organisation, the significant increase in workload and demanding and bureaucratic environment. In contrast, others who received support from senior level management and those who previously worked at the institution or had been given additional responsibility outside their prior job description transitioned with ease. To guide the career transition a framework (Figure 6) was developed that sets out the phases that the specialist academic has to pass through and master before successfully transitioning. This framework will assist senior-level managers, human resources professionals and the tertiary education sector pt2020 Gordon Institute of Business Science (GIBS) MBA 2020-04-06T09:59:56Z 2020-04-06T09:59:56Z 2020/04/01 2019 Mini Dissertation du Plooy, AW 2019, Improved performance prediction and the implications for the efficient frontier, MBA Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/73952> http://hdl.handle.net/2263/73952 en © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Improved performance prediction and the implications for the efficient frontier
title Improved performance prediction and the implications for the efficient frontier
title_full Improved performance prediction and the implications for the efficient frontier
title_fullStr Improved performance prediction and the implications for the efficient frontier
title_full_unstemmed Improved performance prediction and the implications for the efficient frontier
title_short Improved performance prediction and the implications for the efficient frontier
title_sort improved performance prediction and the implications for the efficient frontier
topic UCTD
url http://hdl.handle.net/2263/73952