Evaluating the Management, Measurement and Prediction of Business Competitiveness

dc.contributor.advisorVisser, J.K. (Jacobus)
dc.contributor.coadvisorPretorius, Leon
dc.contributor.emailschalk.grobbelaar@gmail.comen_ZA
dc.contributor.postgraduateGrobbelaar, Schalk
dc.date.accessioned2019-07-15T10:40:12Z
dc.date.available2019-07-15T10:40:12Z
dc.date.created2019-09-03
dc.date.issued2019
dc.descriptionThesis (PhD)--University of Pretoria, 2019.en_ZA
dc.description.abstractA 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.en_ZA
dc.description.availabilityUnrestricteden_ZA
dc.description.degreePhDen_ZA
dc.description.departmentGraduate School of Technology Management (GSTM)en_ZA
dc.description.sponsorshipNRFen_ZA
dc.identifier.citationGrobbelaar, 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>en_ZA
dc.identifier.otherS2019en_ZA
dc.identifier.urihttp://hdl.handle.net/2263/70707
dc.language.isoenen_ZA
dc.publisherUniversity of Pretoria
dc.rights© 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.
dc.subjectUCTDen_ZA
dc.subjectEngineering Managementen_ZA
dc.subjectStrategic Managementen_ZA
dc.subjectOperations Managementen_ZA
dc.subjectFinancial Managementen_ZA
dc.titleEvaluating the Management, Measurement and Prediction of Business Competitivenessen_ZA
dc.typeThesisen_ZA

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