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Evaluating the Management, Measurement and Prediction of Business Competitiveness
Thesis (PhD)--University of Pretoria, 2019.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2019
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| _version_ | 1867613439869845504 |
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| access_status_str | Open Access |
| author2 | Visser, J.K. (Jacobus) |
| author_browse | Visser, J.K. (Jacobus) |
| author_facet | Visser, J.K. (Jacobus) |
| collection | Thesis |
| dc_rights_str_mv | © 2019 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 | Thesis (PhD)--University of Pretoria, 2019. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/70707 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:10.076Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/70707 Evaluating the Management, Measurement and Prediction of Business Competitiveness Visser, J.K. (Jacobus) schalk.grobbelaar@gmail.com Pretorius, Leon Grobbelaar, Schalk UCTD Engineering Management Strategic Management Operations Management Financial Management Thesis (PhD)--University of Pretoria, 2019. A company is a complex system that operates within an even more complex ecosystem. For companies to survive and grow, they must remain competitive. To achieve this, companies should understand how they influence and are influenced by the ecosystem. In his thesis, Evaluating the management, measurement and prediction of business competitiveness, it is proposed that multiple correlation tests are used to identify quantifiable predictors of financial competitiveness for companies. To test this proposition, two case studies were performed. The first on Sawmilling companies in South Africa and the second on companies listed on the Johannesburg Stock Exchange. The multiple correlation tests illustrated that it is possible to identify quantifiable predictors of financial competitiveness. These predictors in combination with decision-making techniques can be utilised to predict the financial competitiveness of a company or group of companies. NRF Graduate School of Technology Management (GSTM) PhD Unrestricted 2019-07-15T10:40:12Z 2019-07-15T10:40:12Z 2019-09-03 2019 Thesis Grobbelaar, S 2019, Evaluating the Management, Measurement and Prediction of Business Competitiveness, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/70707> S2019 http://hdl.handle.net/2263/70707 en © 2019 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 Engineering Management Strategic Management Operations Management Financial Management Evaluating the Management, Measurement and Prediction of Business Competitiveness |
| title | Evaluating the Management, Measurement and Prediction of Business Competitiveness |
| title_full | Evaluating the Management, Measurement and Prediction of Business Competitiveness |
| title_fullStr | Evaluating the Management, Measurement and Prediction of Business Competitiveness |
| title_full_unstemmed | Evaluating the Management, Measurement and Prediction of Business Competitiveness |
| title_short | Evaluating the Management, Measurement and Prediction of Business Competitiveness |
| title_sort | evaluating the management measurement and prediction of business competitiveness |
| topic | UCTD Engineering Management Strategic Management Operations Management Financial Management |
| url | http://hdl.handle.net/2263/70707 |