Thesis (D. Min.)--Midwestern Baptist Theological Seminary, 2003. / "May 1, 2003." Includes bibliographical references (leaves 117-118).

M. Tech. Business Administration / An Enterprise Resource Planning system is complex software that ties together and automates the processes in a business. The benefits of having an Enterprise Resource Planning system included having a single database that allowed the data to be available across all business units. Small, Medium Enterprises, and Large South African companies, have introduced Enterprise Resource Planning (ERP) systems as a means of improving productivity and efficiency over the past few years. Various South African companies have experienced difficulties in the implementation of Enterprise Resource Planning systems because they are costly in terms of finance and time. This study aims to analyse the degree to which the South African company Iliad Africa has benefited from the implementation of an ERP system.

D. Tech. Business Information Systems / Review of previous and related works highlighted significant gaps in the previous strategic information systems planning studies, and these gaps need to be addressed. Firstly, the examination of strategic information systems planning success and five contextual factors (environmental uncertainty, organisational structure, government and policies, business strategy orientation and information systems maturity) has not yet been thoroughly and empirically researched simultaneously, notably in the context of a developing country like South Africa. The investigation of the moderating role of contingency variables in the relationship between strategic information systems planning process phases and strategic information systems planning success in the context of South African medium enterprises provided an empirically informed understanding of these factors and their effect, which tend to be different from that of studies conducted in the developed countries. Secondly, literature lacks a developed and empirical validated contingency model for measuring the success of strategic information systems planning. The present study developed such model, using a Structural Equation Modelling and analysis in the context of South African medium enterprises. That is, the use of Structural Equation Modelling helped provide a validated contingency model which indicates the pertinent factors for measuring strategic information systems planning success, in the context of South African medium enterprises.

This thesis focuses on the identification of experience required for solving IT (Information Technology) problems in small to medium sized enterprises. It is aimed to utilize information retrieval and data mining techniques to automatically extract information from publicly available experience data on the internet to automatically generate a knowledgebase for dynamic IT management support. In this thesis, similarity distance measures as Jaccard Index, Cosine Similarity Measure and clustering algorithms as K-Means, EM, DBScan, CES, CES+ are employed on three different datasets to evaluate their performances. CES+ algorithm gives the highest performance results in these evaluations. Moreover, Multi Objective Genetic Algorithm (MOGA) is used and is evaluated on three different data sets to aid the usage of CES+ in real life senarios by automating the selection of necessary parameters. Results show that MOGA support is not only automating the CES+, it also provides higher performance results.

In order to investigate the use of fuzzy logic in decision-support systems (DSS) for dairy cattle breeding, a first-generation prototype software system was developed. The objectives were to determine the advantages and limitations of fuzzy logic for this type of application, and to establish a basis for the development of more complete DSS in the future. The goal of the prototype DSS was to make culling decisions on the basis of monthly production data. An analysis of the development process of this prototype demonstrated the importance of creating a thorough methodology for the elicitation and implementation of knowledge. A framework for the development of fuzzy decision-support systems was established, consisting of four phases: the project groundwork phase, elicitation of knowledge from the expert, implementation of that knowledge, and system validation. In this framework, it is proposed that, in the case of multiple experts, knowledge can be amalgamated or aggregated. Once this framework was established, a second-generation prototype DSS was developed. Contrary to the first-generation prototype, where the encoded expertise was limited to three experts from the same domain, the second-generation prototype considered the knowledge of two individuals from each of three domains (Dairy researchers, Producers, and Dairy herd improvement specialists). An aggregation approach was used which involved the development and maintenance of separate modules, each containing the compiled expertise of one of the six experts.

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A Decision Support System for the design and planning of soil conservation systems on a watershed scale was conceived and applied to southwestern Quebec. The system integrated Geographical Information System, distributed parameter hydrologic modeling and Expert System technologies. Maps of appropriate soil conservation practices were produced for two small rural basins representative of the study region. The effect of the selected practices on runoff and sediment was assessed using the ANSWERS model. Erosion sites were targeted using a once-in-25 year design storm. It was observed that small portions of the study basins produced large amounts of eroded sediment. The expert system was designed to select appropriate conservation practices for the 1-ha cells which had more than one ton of erosion as a result of the design storm. The results demonstrated that the selected conservation practices would reduce sediment yield and average erosion rates by 50% in each of the study basins.

Thesis (Ph. D.)--University of Hawaii at Manoa, 1995. / Includes bibliographical references (leaves 201-208). / Microfiche. / xv, 208 leaves, bound ill., col. maps 29 cm