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ETDs @PUC-Rio
Estatística
Título: MONITORING AND EVALUATION OF MARKETING RELATIONSHIP PROGRAMS IN SERVICE COMPANIES: PROPOSITION OF INDICATORS AND METRICS
Autor: CRISTIANA VALENTE MENESES
Colaborador(es): MARIA FATIMA LUDOVICO DE ALMEIDA - Orientador
Catalogação: 23/FEV/2018 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=33097&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=33097&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.33097
Resumo:
The discipline of marketing has undergone great changes, both in the academic field and in the practice of companies and organizations in general. From the perspective of a long-term vision in which relationships and strong ties between the organization and its clients and other stakeholders lead to mutual benefits, these changes have been occurring more specifically in the area of relationship marketing. This dissertation aims to propose a model for monitoring and evaluating (ME) programs of relationship marketing carried out by service companies, with the support of multiple criteria decision-making methods. The research can be considered applied, descriptive and methodological. The methodology encompasses bibliographical and documentary research; design of a logical framework to propose candidate indicators and metrics for monitoring and evaluating relationship marketing programs; and application of a hybrid decision support method - hierarchical analytical method (AHP), for defining the weights of the classification criteria, and the TOPSIS method for selecting and ranking the candidate indicators. Aiming to demonstrate the applicability of this ME model in the context of a service company, an empirical study focusing on the Program Cliente Light Tem Mais – a relationship marketing initiative of Light SESA – was carried out during the applied phase of this research. As main results of this research, we can highlight a monitoring and evaluation model designed for relationship marketing programs in the service sector; the tool for selecting and ranking ME indicators and respective metrics; and a consistent set of ME indicators, aiming at the continuous improvement of relationship marketing programs of companies in the service sector.
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