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How technology can be applied to support change management best practices in the South African automotive industry

Organisations within the South African automotive industry (SAAI) are always seeking innovative ways to remain globally competitive. In order to keep costs as low as possible, existing facilities are often adapted to either cater for a wider variety of products or, alternatively, to produce larger volumes than they were originally designed to produce. In every instance, some form of change needs to take place. When the change management processes are defined within the system, quick wins need to be identified. These quick wins may include the elimination of non-valueadding time that is spent moving paper work between offices or ensuring the correct checks are in place to prevent the process from moving to the next step until all the requirements for the current steps have been completed. Technology has been identified as a suitable support mechanism that would be able to integrate into the complex system that comprises processes to be followed in an order that can be predefined. Every organisation faces its own unique challenges when technology is introduced. These can include a lack of computer literacy and the unwillingness to accept that change can in fact benefit the organisation. Getting the users to take ownership of the new systems through comprehensive training initiatives will be shown to be the most effective manner in which to ensure that the systems are effective and used to their full potential. This treatise will investigate the change management systems currently being used in the SAAI and compare the most important factors against the perceived best practices of the resources that are involved in change management. Organisations that operate at various levels within the SAAI will be researched. A literature review of the best practices in change management systems combined with an investigation into how technology can assist in supporting these best practices will be conducted. The findings will then be summarised and recommendations based on the collected data and information will be formulated and put forward.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:20576
Date January 2014
CreatorsVorster, Malcolm William
PublisherNelson Mandela Metropolitan University, Faculty of Business and Economic Sciences
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis, Masters, MBA
Formatx, 95 leaves, pdf
RightsNelson Mandela Metropolitan University

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