23 resultados para multiple objective analysis


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This Master of Science Thesis deals with the customer satisfaction and loyalty focusing on a private higher education institution in Belém city, Brazil. The literature review focuses on costumer satisfaction and loyalty concepts and theory, models of quality managing systems and methodologies of costumer satisfaction measurement. The research was a survey with a random stratified sample of 329 undergraduate students of Business Administration at the Faculdade do Pará , in the morning and the night periods. The data analysis was made through the descriptive statistics and multiple regression analysis. The main findings are that the model was satisfactory and the main factors affecting Satisfaction to the School were Best Professor Didatics (beta=0.297), Courses Contents (beta=0.280), Clerks Sympathy (beta=0.201), and Number of Students in Classroom (beta=0,187) with a adjusted R2 = 0,47. The main factors affecting School Loyalty with an adjusted R2 = 0,43 were School Image (beta=0.383), Affective Commitment (beta=0.255), and Satisfaction with Professors (beta=0,218). The findings suggest also that may be differences between the set of students and those that complain for something

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This thesis presents a contribution to the study customer satisfaction models, analyzing the relationship between antecedent variables satisfaction and customer loyalty, through a survey with car s buyers in Natal. The theorical survey is focused in concepts of customer satisfaction and loyalty, and in the customer satisfaction index models. For the field survey, was applied a questionnaire, based on the Norwegian Customer Satisfaction Barometer (NCSB), considered by Johnson et al. (2001), with 106 customer of concessionary Fiat, the Pontanegra Automóveis. The main results obtained by the multiple regression analysis reveal that, considering the Fiat, the satisfaction is influencing by reliance degree in the firm seriousness and by complaining handling, the loyalty is influenced by possibility of again pay the same value if was again buy a car, the satisfaction degree with a car, affective commitment relationship firm customer of the own car and the complaining handling. Considering the concessionaire, the satisfaction is influenced by reliance degree in the firm seriousness, ability degree of the concessionaire in delivery service and by complaining handling, already the loyalty is influencing by possibility of again pay the same value if was again buy a car, affective commitment relations to be concessionaire s customer, by calculate commitment in relation the economic loss of bought this car of this firm and complaining handling

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This Thesis deals with a study on customer satisfaction and loyalty focusing on a model of factors antecedents of customer satisfaction and loyalty. The model is based on a Satisfaction Index model adopted in Norway developed by Johnson et al.(2001) and the service quality drivers from the literature. It is surveyed a sample of tourist in Natal. It is used a survey questionnaire applied at the airport in the departure moment of the tourist. The final sample results on 198 cases. Is is used a multiple regression analysis as the method to verify the factor affecting satisfaction and loyalty. Two models arise from the analysis. The first model concerning satisfaction results with cleaness and hygiene of the bathroom, leisure facilities, employees promptness, and price as the significant factors affecting satisfaction. The model has a R2 of 0.6430 and the also check in service, cleaness of the apartment and the hotel in general, bedroom setting have colinearity with some factors entering the model. The loyalty model results with satisfaction, affective commitment as the main factors affecting loyalty, with a R2 0.5396, and also image has collinearity with satisfaction. A small part of the sample has complained and this factor was not considered in the models. The results are consistent with the literature in term of quality as the main driver of the satisfaction and that it is not the only one factor to explain loyalty

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This Master s thesis presents a discussion on customer satisfaction models investigating the relations of antecedent variables service quality, price index, complaint handling, image, affective and calculative commitment, with satisfaction and loyalty. The scope of the research is the influence of service dimensions in the car buyer s satisfaction and loyalty. A sample of 91 customers was surveyed among new cars buyers of one brand in Natal city, Brazil, and the data was analyzed using multiple regression analysis. The literature review covers subjects such as customer satisfaction, management system, customer satisfaction measurement index models. The main findings suggest that satisfaction with the car brand is mainly influenced by customization of the service, time for accomplishing servicing, and the way the dealer handle complains. Regarding the dealer itself the main variable related to satisfaction is also time for accomplishing servicing. Considering customer loyalty, the customer satisfaction with the dealer explain strongly the loyalty with the brand/manufacturer. Also, the satisfaction, affective commitment and complains handling were found related to loyalty, as the stronger variables explaining the loyalty variance. One main conclusion is that service provided by dealers is one key factor influencing the customer satisfaction and loyalty in auto industry

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Collembola is one of the most abundant and diverse group of terrestrial arthropods, being at the base of the food chain operating in the decomposition process. They have a wide distribution in the world and can be found in practically all habitats. The knowledge of this distinctive fauna is still deficient in brazilian territory, especially in semi-arid region. The aim of this study was to investigate which climatic variables may act as predictors of species richness, abundance of individuals and compositional structure of the taxocenose of Collembola over 12 months in an area dominated by semi-arid Caatinga vegetation, northeastern Brazil and describe new species of the genus Seira found, more diverse taxon of Collembola in Brazil. Samples were collected in João Câmara, Rio Grande do Norte. Ten plots of 20 x 20 meters were established and the specimens were collected with collection effort of one hour/people using entomological aspirator. The identification and description of the species was carried out by studying the morphology and chaetotaxy. Was performed a multiple regression analysis between species richness and abundance of individuals with climatic variables. A total of 1231 individuals belonging to 15 species, 12 genera and nine families. The greatest richness and abundance of Collembola were found during the rainy season. The genus Seira was the most abundant. Rainfall explained the temporal variation in species richness and abundance of Collembola in the semi-arid region, which is consistent with the biology of these animals. The populations of Collembola showed grouped distribution. Three new species of Seira were described and illustrated and all show similarities with species already registered in the national territory

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Collembola is one of the most abundant and diverse group of terrestrial arthropods, being at the base of the food chain operating in the decomposition process. They have a wide distribution in the world and can be found in practically all habitats. The knowledge of this distinctive fauna is still deficient in brazilian territory, especially in semi-arid region. The aim of this study was to investigate which climatic variables may act as predictors of species richness, abundance of individuals and compositional structure of the taxocenose of Collembola over 12 months in an area dominated by semi-arid Caatinga vegetation, northeastern Brazil and describe new species of the genus Seira found, more diverse taxon of Collembola in Brazil. Samples were collected in João Câmara, Rio Grande do Norte. Ten plots of 20 x 20 meters were established and the specimens were collected with collection effort of one hour/people using entomological aspirator. The identification and description of the species was carried out by studying the morphology and chaetotaxy. Was performed a multiple regression analysis between species richness and abundance of individuals with climatic variables. A total of 1231 individuals belonging to 15 species, 12 genera and nine families. The greatest richness and abundance of Collembola were found during the rainy season. The genus Seira was the most abundant. Rainfall explained the temporal variation in species richness and abundance of Collembola in the semi-arid region, which is consistent with the biology of these animals. The populations of Collembola showed grouped distribution. Three new species of Seira were described and illustrated and all show similarities with species already registered in the national territory

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The competition among tourist destinations environmental generates the emergent need to find different strategies to close down if the purpose of delight and retain their visitants. A customer satisfaction, loyalty and the development of attachment to place form a solid compound in search of promotion a tourist destination. This study presents the general objective analysis of the relationship between attachment to place, satisfaction and loyalty of visitors, in the archipelago of Fernando de Noronha / PE. Therefore, a model will be used as reference, where they will be analyzed various constructs related to attachment to place, satisfaction and loyalty, as well as the relations between them. The methodology used in the study consists of an exploratory, descriptive, where the sample is random and consists of individuals who visited Fernando de Noronha on a pre-defined period of ten days. Based on a sample table, we defined a quantitative equivalent of 246 questionnaires, which will be applied when the visitor leaves the destination, the departure lounge of airport. A proposal focuses on the possibility to get results able to understand the subjective and intriguing relationship that involves the triad attachment to place, satisfaction and loyalty, trying to thus provide subsidies for optimizing environmental tourist destination

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This research aims to understand the factors that influence intention to online purchase of consumers, and to identify between these factors those that influence the users and the nonusers of electronic commerce. Thus, it is an applied, exploratory and descriptive research, developed in a quantitative model. Data collection was done through a questionnaire administered to a sample of 194 graduate students from the Centre for Applied Social Sciences of UFRN and data analysis was performed using descriptive statistics, confirmatory factorial analysis and simple and multiple linear regression analysis. The results of descriptive statistics revealed that respondents in general and users of electronic commerce have positive perceptions of ease of use, usefulness and social influence about buying online, and intend to make purchases on Internet over the next six months. As for the non-users of electronic commerce, they do not trust the Internet to transact business, have negative perceptions of risk and social influence over purchasing online, and does not intend to make purchases on Internet over the next six months. Through confirmatory factorial analysis six factors were set up: behavioral intention, perceived ease of use, perceived usefulness, perceived risk, trust and social influence. Through multiple regression analysis, was observed that all these factors influence online purchase intentions of respondents in general, that only the social influence does not influence the intention to continue buying on the Internet from users of electronic commerce, and that only trust and social influence affect the intention to purchase online from non-users of electronic commerce. Through simple regression analysis, was found that trust influences perceptions of ease of use, usefulness and risk of respondents in general and users of electronic commerce, and that trust does not influence the perceptions of risk of non-users of electronic commerce. Finally, it was also found that the perceived ease of use influences perceived usefulness of the three groups. Given this scenario, it was concluded that it is extremely important that organizations that work with online sales know the factors that influence consumers purchasing intentions in order to gain space in their market