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An information technology management model for academic information services

D.Phil. / The dependancy of academic information services on information technology is growing, particularly as information technology is the primary infrastructure of a digital library . This is compounded by the fast changing/developing nature of information technology and the trend towards digitisation. The changing nature of information technology contributes to the need to manage it. The focus of this thesis is on the management of information technology with specific reference to the changing nature of this resource. The problem addressed is: What is the most effective way (model) of managing changing information technology in academic information services and how can the disciplines of the management of change and the management of technology be used to find such a way? To solve this problem and to find a suitable model with which to manage information technology the management of change as well the management of technology was studied. In doing so 11 variables (which should be included in a management model) were distilled from the literature. Directors of academic information services in the South African tertiary sector were approached to rank the variables, an exercise that indicated the more important variables in the South African context. The ranking was as follows: Vision of the role of information technology in the enterprise Integrated strategic information technology and business plans of the enterprise Environmental scanning Available resources in the enterprise Centralised management responsibility Information technology standards and architecture Technological forecasting Market analysis The human aspect with reference to mankind's influence on and use of technology Evaluation of the information technology Risk assessment. Of these 11 variables, the first six were identified as key criteria. When existing information technology models were evaluated, these key criteria were used as the most important measures of effectiveness. However, attempts to find a suitable existing model that accommodates all six key criteria were unsuccessful. Equally, the effort to find a model which could be adapted to meet the criteria, was unproductive, though an effort was made to enhance the most promising model. In the process it has also been established that there are additional measures to which a successful model must comply. The development of a new model was embarked upon with success. The development of the model was done in two stages. The first effort was limited to the six key variables, while it was expanded in the second attempt to include all 11 variables. The model reflects both the relationships between the variables and the influences exerted between them. In designing a model for the management of information technology, it was discovered that the aim or goal of the model should be an integral part of the model. Integrating the goal resulted in clarity and contributed towards understanding the relationships and influences between the variables. In evaluating the model after completion, it was concluded that none of the 11 variables were unique or restricted to the tertiary sector or to South Africa. This conclusion is significant because it implies that the model can be applied as a general model for the management of information technology, irrespective of economic sector or geographic location.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uj/uj:2567
Date16 August 2012
CreatorsSwanepoel, Marinus
Source SetsSouth African National ETD Portal
Detected LanguageEnglish
TypeThesis

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