Thesis (DoctorateofBusinessAdministration))--University of South Australia, 2004.

Thesis (MBusiness-Research)--University of South Australia, 2003.

Thesis (MBus) -- University of South Australia, 1991

Thesis (MBusiness-Research)--University of South Australia, 2003.

Thesis (DoctorateofBusinessAdministration))--University of South Australia, 2004.

This study examines the effects of two types of consumer knowledge, product and brand knowledge, on consumer fit perceptions between an extension and its parent brand, so as to further investigate the role of consumer knowledge in brand extension evaluations. Based on the reviewed literature four hypotheses were proposed. The first two hypotheses predicted that both product and brand knowledge has an impact of consumer perceived fit between an extension and its parent brand. The other two hypotheses proposed that product knowledge affect more on the fit perceptions between a functional brand and its extension, while brand knowledge affect more on the fit perceptions between a prestige brand and its extension. An experiment was performed to examine these hypothesized relationships. Two hypotheses related to brand knowledge are supported, while the other two hypotheses related to product knowledge are not supported statistically. The results reveal that product and brand knowledge have different effects on consumer fit perceptions between an extension and its parent brand in terms of different brand types, functional vs. prestige brand. The experimental findings demonstrate that brand knowledge has an impact on consumer fit perceptions between an extension and its parent brand, and its effect dominant in prestige brand extension evaluations.

The aim of this thesis is to develop a greater understanding of consumers' brand repertoires. This research is part of the brand choice literature, which involves the analysis of all parts of the brand choice process. While there is clearly a need for research on the size of consumers' repertoites, little research has been conducted on this topic to date. This thesis provides much needed descriptive knowledge in relation to repertoire size, as well as providing information about the potential influence of a selection of consumer characteristics on this measure.

The Dirichlet Model has been fitted to purchase behaviour in many product categories. The model uses the Dirichlet multinomial distributions to account for heterogeneity between customers in brand choice. The research reported here applies the concept of heterogeneity, developed in the Dirichlet Model, to other areas in marketing. It works through a range of classic market research techniques showing the changes and improvements that result from the consideration of heterogeneity in brand choice. The analysis has implications for (1) sample size calculations (2) the estimation of variance and reliability for nominal variables, (3) the evaluation of logistic and multinomial logit models, (4) the method and design of research which uses discrete choice models, (5) the evaluation of the similarities and differences between product categories and (6) the analysis and measurement of purchase feedback effects. The work also examines methods for identifying if a set of data conforms to the Dirichlet distribution. The work develops a concept of heterogeneity for a nominal variable, which was always known but the implications not fully understood. Discrete choice is a random Bernoulli trial based on a probability. The thesis embodied in the work presented here is that: across the population there is not a single probability, but a probability variable. The probability distribution of this variable is known as the mixing distribution. Analysis should focus on the attributes of this probability variable, and in particular its heterogeneity, rather than on the specific discrete brand choice. If all choice is based on the one, single underlying probability then there is no heterogeneity in the probabilities; there is no mixing distribution. If there is no heterogeneity in the probabilities then an analysis of the discrete choice is an analysis of random data evolving from repeated Bernoulli trials. The Dirichlet and Dirichlet multinomial distributions provide a strong framework for the analysis of the probability variable. / thesis (PhDBusinessandManagement)--University of South Australia, 2000.

Thesis (BBus Hons) -- Auckland University of Technology, 2003. / Appendix not included in e-thesis. Also held in print (80 leaves, 30 cm.) in Wellesley Theses Collection. (T 658.8343 MAR)

Thesis (M. Phil.)--University of Hong Kong, 2007. / Title proper from title frame. Also available in printed format.