Corn production is scattered geographically over various continents, but most of it is grown in the United States. As such, the world price of corn futures contracts is largely dominated by North American corn prices as traded on the Chicago Board of Trade. In recent years, this market has been characterised by an increase in price volatility and magnitude of price movement as a result of decreasing stock levels. The development and implementation of an effective and successful derivative price risk management strategy based on the Chicago Board of Trade corn futures contract will therefore be of inestimable value to market stakeholders worldwide. The research focused on the efficient market hypothesis and the possibility of contesting this phenomenon through an application of a derivative price risk management methodology. The methodology is based on a combination of an analysis of market trends and technical oscillators with the objective of generating returns superior to that of a market benchmark. The study found that market participants are currently unable to exploit price movement in a manner which results in returns that contest the notion of efficient markets. The methodology proposed, however, does allow the user to consistently achieve returns superior to that of a predetermined market benchmark. The benchmark price for the purposes of this study was the average price offered by the market over the contract lifetime, and such, the efficient market hypothesis was successfully contested. / Business Management / D. Com. (Business Management)

The dissertation aims to obtain an integrated and comprehensive perspective on measurement issues that play a strategic role in organisations that aim at continuous quality improvement through TQM. The multidimensional definition of quality is proposed to view quality holistically. The definition is dynamic, thus dimensions are subject to evolution. Measurement of the quality dimensions is investigated. The relationship between quality and cost, productivity and profitability respectively is examined. The product quality dimensions are redefined for processes. Measurement is a strategic component ofTQM. Integration of financial measures with supplier-; customer-; performance- and internal process measurement is essential for synergism. Measurement of quality management is an additional strategic quality dimension. Applicable research was integrated. Quantitative structures used successfully in industry to achieve quality improvement is important, thus the quality management maturity grid, cleanroom software engineering, software factories, quality function deployment, benchmarking and the ISO 9000 standards are briefly described. Software Metrics Programs are considered to be an application of a holistic measurement approach to quality. Two practical approaches are identified. A framework for initiating implementation is proposed. Two strategic software measurement issues are reliability and cost estimation. Software reliability measurement and modelling are introduced. A strategic approach to software cost estimation is suggested. The critical role of data collection is emphasized. Different approaches to implement software cost estimation in organisations are proposed. A total installed cost template as the ultimate goal is envisaged. An overview of selected software cost estimation models is provided. Potential research areas are identified. The linearity/nonlinearity nature of the software production function is analysed. The synergy between software cost estimation models and project management techniques is investigated. The quantification aspects of uncertainty in activity durations, pertaining to project scheduling, are discussed. Statistical distributions for activity durations are reviewed and compared. A structural view of criteria determining activity duration distribution selection is provided. Estimation issues are reviewed. The integration of knowledge from dispersed fields leads to new dimensions of interaction. Research and practical experience regarding software metrics and software metrics programs can be successfully applied to address the measurement of strategic indicators in other industries. / Business Management / D. Phil. (Operations Research)

Investigations reveal that the failure rate of e-governance projects in developing countries is between 35% and 50% whereby, 35% is classified as a total failure and 50% is considered a partial failure. Furthermore, previous e-governance frameworks lack reliable project discipline to deliver e-governance systems effectively to stakeholders for further exploits. This is one of the major reasons why e-governance projects fail to deliver the expected value to the citizenry and thereby, negatively impacting on socio-economic development. The purpose of this study was to develop a framework for benchmarking e-governance projects for socio-economic development in developing countries. The Design Science Research methodology was relied upon for the purpose of the study in order to answer its various research questions. Preliminary research investigations led to the identification of a range of critical success factors necessary for effective and efficient delivery of an e-governance project that fulfils expectations throughout the project lifecycle. Further investigations demonstrated that the foregoing critical success factors represent crucial and effective mechanisms for performing project assurance in the ambit of Monitoring and Evaluation. A generic framework for benchmarking e-governance projects was proposed. Further evaluation and validation exercises were undertaken on the framework through a survey involving a comprehensive sample of participants recruited from the Ghana ecosystem, a country considered a developing country. Experts who had comprehensive knowledge of challenges experienced when engaging in e-governance projects were also recruited from the international community as additional respondents in the survey. The study used a combination of simple random sampling and purposive sampling. Simple random sampling method was used to select 19 practising project managers, while purposive sampling method was employed to include e-governance experts in academic and research institutions as well as non-governmental organizations, with valuable insights concerning the research questions being addressed. The data collected was analysed using thematic analysis, and Pearson Chi-square test. The outcome of the evaluation and validation exercises produced an improved framework of which an appropriate prototyped proof of concept was developed for the purpose of enabling e-governance project stakeholders to perform project quality assurance throughout its lifecycle. Such as prototype, if implemented in real-life will go a long way in addressing many challenges faced in the entire e-governance project value chain from a prioritization, learning, cost, quality, time and impact perspectives. The overall outcome of this study showed that despite the reality that the failure rate of e-governance projects remains high in developing countries, there is strong evidence indicating that the aforementioned situation could be circumvented. The research found that success is achievable by embarking on a rigorous process of monitoring and evaluation based on well-defined performance metrics that embody time, quality, budget and scope. As such, the significant minimization of the failure rate of e-governance projects in developing countries would become reality provided that sound monitoring and evaluation are performed in all phases of the project even after its deployment. / Information Science / Ph. D. (Information Systems)