Alocação de recursos em comunidades carentes

• Ano de defesa: 2024
• Autor(a) principal: Campos Tinoco, Paola Viviana
• Orientador(a): Vieira, José Geraldo Vidal
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos; Câmpus Sorocaba
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia de Produção - PPGEP-So
• Palavras-chave em Português: Alocação de recursos; Tomada de decisão multicritério; Base da pirâmide; Comunidade carente; Favelas
• Palavras-chave em Inglês: Resource allocation; Multicriteria decision-making; Base of the pyramid; Underprivileged community; Slums
• Área do conhecimento CNPq: ENGENHARIAS::ENGENHARIA DE PRODUCAO
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/21339

The allocation of resources in underserved communities is a complex task that requires a careful and inclusive approach. A gap in current research is the lack of consideration for residents' preferences in resource allocation methodologies, leading to poorly designed policies that may not adequately reflect the realities of the challenges faced by communities at the base of the pyramid. Furthermore, multicriteria decision-making is increasingly being used to support resource allocation in communities due to its ability to account for competing objectives, represent community preferences, and provide transparent resource allocation. In this context, the aim of this study was to apply a multicriteria methodology that integrates the perspectives of residents and decision-makers in resource allocation for underserved communities. The research was conducted in two stages: (1) analysis of residents' characteristics that influence their preferences for resources such as education, health, employment, and infrastructure, using statistical methods like ordinal logistic regression; and (2) integration of these preferences into an allocation framework based on the model proposed by Vieira (2024), validated through the EQUITY software in a case study in Votorantim-SP. The main findings indicated that demographic characteristics such as gender, age, and length of residence significantly influence residents' resource choices. Moreover, incorporating community preferences resulted in allocation strategies better aligned with local needs, demonstrating the feasibility and effectiveness of the proposed approach in supporting public managers in the formulation of more equitable policies.