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University of Pretoria

Evaluating the Management, Measurement and Prediction of Business Competitiveness

Abstract

dc:description.abstract

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.

Degree

thesis:*
Grantor dc:publisher
University of Pretoria
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Advisor dc:contributor.advisor
  • Visser, J.K. (Jacobus)

Subjects

dc:subject × 5

Rights

dc:rights
Statement 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.
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
S2019
OAI identifier oai:identifier
oai:repository.up.ac.za:2263/70707

Chain of custody

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Harvested from
University of Pretoria
Base URL
repository.up.ac.za/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Evaluating the Management, Measurement and Prediction of Business Competitiveness. University of Pretoria, 2019. http://hdl.handle.net/2263/70707