Improving the quality of investment appraisal decisions through the use of computerised knowledge based systems

Eccles, Glen Russell

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Eccles, Glen Russell. Improving the quality of investment appraisal decisions through the use of computerised knowledge based systems. 2015-03-18.

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Please use this identifier to cite or link to this item: http://hdl.handle.net/10210/13494

Title: Improving the quality of investment appraisal decisions through the use of computerised knowledge based systems
Creator: Eccles, Glen Russell
Contributor: Lessing, N., Prof.
Subject: Investments - Africa, Southern
Subject: Investment analysis - Computer programs
Date: 2015-03-18
Description: M.Com. (Business Management)
Description: The traditional investment appraisal decision making process is no longer the most appropriate within the context of the rapid changes that are occurring within the business world of our time. A swiftly changing environment necessitates the need for a new approach to investment appraisal decisions. "Efforts must be made to provide a system that would provide management with the tools, thereby allowing the most attractive investment alternative" and truly seeing the future of the business. A dynamic, unpredictable and swiftly changing context provide for challenging and researching the underlying assumptions on which traditional Investment Approval decisions have been based. This study is thus directed at acquiring an understanding of how Computerised Knowledge Based Systems could provide assistance to organisations by timeously analysing the variables involved and then providing feedback which would allow the organisation to choose the projects that would provide higher than average rates of return, and fit strategically with existing corporate policy. At its very broadest, this study seeks to determine how investment appraisal decisions can be improved through the use of Knowledge Based Systems...

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collection(s): 22
Identifier: uj:13458
Identifier: http://hdl.handle.net/10210/13494
Rights: University of Johannesburg
Type: Thesis
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