Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Bibliography: leaves 139-141.

Thesis (M.A.)--Oregon State University, 2006. / Printout. Includes bibliographical references (leaves 52-62). Also available online.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1974. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliography.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1972. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Selling to emerging consumers is no small challenge, especially when a multinational is unfamiliar with a country’s distinctive consumer terrain. The objective of this research was to inform decision-makers in multinationals and domestic firms seeking investment opportunities to grow volume and margins in emerging markets. Consumer spending trends and economic data were analysed in order to assist companies to identify products and service categories (“winners”) to compete in within selected emerging markets. A literature review was followed by quantitative analysis of consumer spending trends in seventeen emerging markets selected from low-income, middle-income and upper-middle-income economies, as classified by the World Bank. Visual representation and inspection, as well as descriptive statistics of the data, were followed by statistical analysis. The paired sample t-test, the Wilcoxon test and stepwise regression techniques were used to test the research questions. The findings suggest that the services category, specifically education and medical services, gained significant share of consumer spending. The durable goods category share remained flat and generic “losers” emerged mainly from the non-durable goods and semi-durable goods sub-categories. It seems as though few generic winners and losers exist and that a country-by-country analysis needs to be conducted. / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

This thesis explores the problem of wasteful fashion consumption in light of the current need for individuals to develop a sustainable way of living. The Agenda 21 report from the Rio Earth Summit (1992) determined that sustainable consumption is an issue to be addressed in terms of resource conservation, waste reduction and a reduction of production pollutants. To date, in Australia, there are no policies or strategies in place to reduce wasteful consumption from the consumer's perspective and it is this research and policy deficit that this thesis research addresses. According to a recent national study of wasteful consumption, Australians spent approximately 1.7 billion dollars in 2004 on fashion garments and accessories that they did not wear (Hamilton et al. 2005). However, landfill statistics revealed that only a small proportion of textile waste (of which clothing is a subsidiary category) contributes to landfill (ABS, 1998). This discrepancy between the annual expenditure and the contribution of clothing to landfill informed the research hypothesis; that the greater majority of these inactive fashion garments are hoarded in wardrobes rather than disposed of. This hypothesis was tested through an action research case study in the form of a clothing exchange event and related data collection and analysis (part 2 of the thesis). The additional objectives of the clothing exchange event were to activate

Thesis (M. Phil.)--University of Hong Kong, 1994. / Includes bibliographical references (leaves 171-183).

Thesis (Ph. D.)--Michigan State University, 1990. / Includes bibliographical references (leaves 158-162).

No description available.

An electricity demand profile is a graph showing the amount of electricity used by customers over a unit of time. It shows the variation in electricity demand versus time. In the demand profiles, the shape of the graph is of utmost importance. The variations in demand profiles are caused by many factors, such as economic and en- vironmental factors. These variations may also be due to changes in the electricity use behaviours of electricity users. This study seeks to model daily profiles of energy demand in South Africa with a model which is a composition of two de Moivre type models. The model has seven parameters, each with a natural interpretation (one parameter representing minimum demand in a day, two parameters representing the time of morning and afternoon peaks, two parameters representing the shape of each peak, and two parameters representing the total energy per peak). With the help of this model, we trace change in the demand profile over a number of years. The proposed model will be helpful for short to long term electricity demand forecasting.