Brand loyalty development is an important part of a company‘s marketing strategy. Empirical data on the influences of brand loyalty in the South African hospitality industry is non-existent. Moolla and Bisschoff developed an empirical tool for measuring twelve influences of brand loyalty in, originally, the fast moving consumer goods (FMCG) industry. The model has since been validated and the reliability of the data confirmed for various industries such as agri- business, banking and pharmaceutical industries. The twelve influences the model test are; customer satisfaction, culture, brand performance, brand relevance, relationship proneness, brand affect, repeat purchase, perceived value, commitment, involvement, switching cost and brand trust. An adapted Moolla and Bisschoff model is employed in the hospitality industry, and more specifically the hotel sector, which aims to determine the role each influence plays on brand loyalty. Questionnaires were distributed to guests at various branded hotels in South Africa of which 187 patrons responded positively. The Kaiser-Meyer-Olkin measure indicated sample adequacy and suitability for factor analysis, where after the questionnaire was validated and the data found to be reliable. According to the respondents‘ perceptions, customer satisfaction is regarded as the single most very important brand loyalty influence in the hospitality industry. Brand trust, repeat purchase, involvement, perceived value, relationship proneness, brand affect, brand relevance and brand performance can also be seen as important factors. Switching cost, commitment and culture were not considered to be very important brand influences. Sub-factors were identified for the influences of perceived value and relationship proneness. A new conceptual framework for brand loyalty in the hospitality industry was therefore suggested. The results of this study concluded that the adapted Moolla and Bisschoff model is indeed a valuable tool for measuring brand loyalty influences in the hospitality industry. This study also contributed to the knowledge base regarding brand loyalty of the South African hospitality industry in South Africa. / MBA, North-West University, Potchefstroom Campus, 2015

Brand loyalty development is an important part of a company‘s marketing strategy. Empirical data on the influences of brand loyalty in the South African hospitality industry is non-existent. Moolla and Bisschoff developed an empirical tool for measuring twelve influences of brand loyalty in, originally, the fast moving consumer goods (FMCG) industry. The model has since been validated and the reliability of the data confirmed for various industries such as agri- business, banking and pharmaceutical industries. The twelve influences the model test are; customer satisfaction, culture, brand performance, brand relevance, relationship proneness, brand affect, repeat purchase, perceived value, commitment, involvement, switching cost and brand trust. An adapted Moolla and Bisschoff model is employed in the hospitality industry, and more specifically the hotel sector, which aims to determine the role each influence plays on brand loyalty. Questionnaires were distributed to guests at various branded hotels in South Africa of which 187 patrons responded positively. The Kaiser-Meyer-Olkin measure indicated sample adequacy and suitability for factor analysis, where after the questionnaire was validated and the data found to be reliable. According to the respondents‘ perceptions, customer satisfaction is regarded as the single most very important brand loyalty influence in the hospitality industry. Brand trust, repeat purchase, involvement, perceived value, relationship proneness, brand affect, brand relevance and brand performance can also be seen as important factors. Switching cost, commitment and culture were not considered to be very important brand influences. Sub-factors were identified for the influences of perceived value and relationship proneness. A new conceptual framework for brand loyalty in the hospitality industry was therefore suggested. The results of this study concluded that the adapted Moolla and Bisschoff model is indeed a valuable tool for measuring brand loyalty influences in the hospitality industry. This study also contributed to the knowledge base regarding brand loyalty of the South African hospitality industry in South Africa. / MBA, North-West University, Potchefstroom Campus, 2015

Thesis (MBus)--University of South Australia, 1998

Thesis (Ph. D.)--University of Washington, 1999. / Vita. Includes bibliographical references (leaves 72-83).

Honors Project--Brigham Young University, 2006. / Includes bibliographical references (p. 55-56).

Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 115-120).

Thesis (M.A.)--University of British Columbia, 2006. / Includes bibliographical references (leaves 89-90).

An empirical study is reported which attempts to validate two key theoretical consequences of consumer involvement: differences in brand buying behaviour and differences in the type of decision processing undertaken. A literature review is provided which traces the history of involvement and identifies a suitable contemporary framework. Work on brand loyalty and attitude modelling is also reviewed and suitable frameworks identified. A pilot stage is reported which shows how involvement measurement techniques can be adapted for use among frequently purchased products. Results from reliability testing and differences in the mean levels of involvement for six grocery product categories are reported. A main fieldwork phase is reported where a consumer panel was operated for four months (n=191). Data on levels of involvement, decision making and purchasing behaviour were collected from the panel using surveys and diary sheets for three product categories: newspapers, breakfast cereals and paper kitchen towels. The relationship between sources of involvement and buying behaviour was analysed using LISREL. A model of involvement is identified which suggests that brand involvement is generated by the risks associated with making a poor brand choice and the levels of pleasure associated with the product field. For newspapers, the modelling identifies a significant (but small) relationship between involvement and devotion of purchasing to a limited number of brands. This relationship was not significant in the other two product fields. Further analysis identifies four classifications of buying behaviour (habitual, loyal, switchers, and variety seekers) which helps to explain why the linear relationship is so weak. A second analysis phase is reported which examines the utility of the Extended Fishbein Model for each of the three product categories. This analysis supports the notion that decision processing is more extensive where the level of product involvement is higher. The theoretical and managerial implications of the findings are discussed. Strengths and limitations of the research design are reviewed.

Brand loyalty represents an important asset to any business. While a considerable amount of research focuses on brand loyalty, empirical tests on the brand loyalty influences in the agribusiness environment have not been conducted. The primary purpose of this study was to measure brand loyalty in the agribusiness environment by applying a validated model that measures brand loyalty for this environment. The brand loyalty influences were empirically validated, their reliability was determined and they were measured. Adaptions to this model were proposed to fit the needs of the agribusiness environment. Based on-the findings, conclusions and recommendations were presented. The measurement of brand loyalty in the agribusiness environment is based on Moolla's brand loyalty framework for the FMCG (fast moving consumer goods) industry. The study aimed to determine whether Moolla's FMCG brand loyalty framework is applicable to the agribusiness environment. The twelve brand loyalty influences identified by Moolla include: customer satisfaction; switching costs; brand trust; repeat purchase; involvement; perceived value; commitment; relationship proneness; brand affect; brand relevance; brand performance and culture. The empirical study was conducted among 100 farmers in the North West region. The methodology included the sampling procedure, data collection, questionnaire development and statistical techniques used. Results were analysed with regard to the Kaiser-Meyer-Olkin measure of sampling adequacy (KMO), Bartlett's test of sphericity, Factor analysis, Cronbach Alpha coefficients and mean values. The results of this study concluded that the brand loyalty influences as identified by Moolla are important for measuring agribusiness brand loyalty. The importance of this study is the contribution_ of a brand loyalty framework to measure agribusiness brand loyalty which will aid agribusinesses in the strategic management thereof. / MBA, North-West University, Potchefstroom Campus, 2014

Brand loyalty represents an important asset to any business. While a considerable amount of research focuses on brand loyalty, empirical tests on the brand loyalty influences in the agribusiness environment have not been conducted. The primary purpose of this study was to measure brand loyalty in the agribusiness environment by applying a validated model that measures brand loyalty for this environment. The brand loyalty influences were empirically validated, their reliability was determined and they were measured. Adaptions to this model were proposed to fit the needs of the agribusiness environment. Based on-the findings, conclusions and recommendations were presented. The measurement of brand loyalty in the agribusiness environment is based on Moolla's brand loyalty framework for the FMCG (fast moving consumer goods) industry. The study aimed to determine whether Moolla's FMCG brand loyalty framework is applicable to the agribusiness environment. The twelve brand loyalty influences identified by Moolla include: customer satisfaction; switching costs; brand trust; repeat purchase; involvement; perceived value; commitment; relationship proneness; brand affect; brand relevance; brand performance and culture. The empirical study was conducted among 100 farmers in the North West region. The methodology included the sampling procedure, data collection, questionnaire development and statistical techniques used. Results were analysed with regard to the Kaiser-Meyer-Olkin measure of sampling adequacy (KMO), Bartlett's test of sphericity, Factor analysis, Cronbach Alpha coefficients and mean values. The results of this study concluded that the brand loyalty influences as identified by Moolla are important for measuring agribusiness brand loyalty. The importance of this study is the contribution_ of a brand loyalty framework to measure agribusiness brand loyalty which will aid agribusinesses in the strategic management thereof. / MBA, North-West University, Potchefstroom Campus, 2014