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    <title>DSpace Coleção: PPGP</title>
    <link>https://repositorio.ufpb.br/jspui/handle/123456789/12115</link>
    <description>PPGP</description>
    <pubDate>Thu, 01 Oct 2026 01:48:49 GMT</pubDate>
    <dc:date>2026-10-01T01:48:49Z</dc:date>
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      <title>DSpace Coleção: PPGP</title>
      <url>http://repositorio.ufpb.br:443/jspui/retrieve/68216/logo-pgpci.png</url>
      <link>https://repositorio.ufpb.br/jspui/handle/123456789/12115</link>
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      <title>Governança, Gestão de Riscos e Conformidade (GRC) nas concessionárias brasileiras de saneamento básico</title>
      <link>https://repositorio.ufpb.br/jspui/handle/123456789/39227</link>
      <description>Título: Governança, Gestão de Riscos e Conformidade (GRC) nas concessionárias brasileiras de saneamento básico
Autor(es): Lima, Anna Elysa da Silva
Orientador: Vieira, James Batista
Abstract: In a context where Brazil's sanitation sector continues to face limited coverage—only 45% of the population has access to wastewater treatment and 83% to potable water—and amid regulatory changes and growing pressure to meet the sector's 2033 targets, strengthening Governance, Risk Management, and Compliance (GRC) within utilities becomes a strategic investment to enhance performance. This study aims to describe the GRC structures of the utilities responsible for providing water and wastewater services in the country, using an indicator composed of 45 variables derived from national and international reference literature. On average, utilities adopt 58.12% of GRC practices, with significant variation among Mixed-Capital Companies (70.36%), public and private companies (41.68%), and autonomous agencies and social organizations (17.7%). Regarding implementation, political interference and performance pressure emerged as hindering factors, while top management support was identified as a facilitator. Only nine utilities reported their GRC departments in official documents, suggesting greater emphasis on the risk management dimension. Additionally, good practices were identified only among mixed-capital and private companies, the most relevant being: capacity-building for integrating risk management into planning, the use of GRC software, and integrity programs. This research contributes to the field by providing a diagnostic assessment of GRC in the water and wastewater sector, by developing and applying an indicator that helps describe and compare GRC structures, and by addressing a theoretical gap through the integration of GRC and sanitation studies.
Editor: Universidade Federal da Paraíba
Tipo: Dissertação</description>
      <pubDate>Fri, 05 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.ufpb.br/jspui/handle/123456789/39227</guid>
      <dc:date>2025-12-05T00:00:00Z</dc:date>
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    <item>
      <title>Inteligência Artificial generativa em portais de transparência pública: uma análise da expectativa de desempenho</title>
      <link>https://repositorio.ufpb.br/jspui/handle/123456789/38863</link>
      <description>Título: Inteligência Artificial generativa em portais de transparência pública: uma análise da expectativa de desempenho
Autor(es): Azevedo, Luis Guilherme Pontes de
Orientador: Mota, Flávio Perazzo Barbosa
Abstract: Generative Artificial Intelligence (AI) has brought advances regarding the possibilities of utilizing these technologies in public administration, potentially fostering transparency and social control through various techniques, such as natural language processing and conversational agents, among others. However, for the use of new technologies to be effective, prior studies demonstrating how the population will behave towards these novelties and whether they will effectively use them are recommended. Therefore, this study aims to analyze the main factors that influence the Performance Expectancy in the use of generative artificial intelligence tools in transparency portals. This will be achieved through an adaptation of the UTAUT Model (Unified Theory of Acceptance and Use of Technology), proposed by Venkatesh et al. (2003), by adding the constructs AI Literacy and Trust. The methodology will involve using surveys with a 7-point Likert scale and multiple regression analysis to assess the relationship of each independent variable with the dependent variable. The sampling method employed will be non-probabilistic convenience sampling. The study seeks to answer the research question: Which factors most significantly influence the Performance Expectancy of a Generative Artificial Intelligence tool applied to Transparency Portals?
Editor: Universidade Federal da Paraíba
Tipo: Dissertação</description>
      <pubDate>Wed, 17 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.ufpb.br/jspui/handle/123456789/38863</guid>
      <dc:date>2025-12-17T00:00:00Z</dc:date>
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    <item>
      <title>Gestão das águas do projeto de integração do Rio São Francisco na Paraíba à luz da Política Nacional dos Recursos Hídricos</title>
      <link>https://repositorio.ufpb.br/jspui/handle/123456789/38804</link>
      <description>Título: Gestão das águas do projeto de integração do Rio São Francisco na Paraíba à luz da Política Nacional dos Recursos Hídricos
Autor(es): Santos, Mariana Teodoro dos
Orientador: Santos, Jaqueline Guimarães
Abstract: Throughout history, the lack of access to water in Brazil’s Northeast region has been addressed primarily as a hydrological problem, rather than because of an unequal development process. Decision-making by public authorities has been – and continues to be – based exclusively on water scarcity in the region as a factor intrinsically associated with low rainfall levels. Within this context, the largest water infrastructure project in the country was implemented: the São Francisco River Integration Project for the Northeastern Hydrographic Basins (PISF), encompassing four states – Paraiba, Pernambuco, Ceará, and Rio Grande do Norte. Considering that one of the main current challenges is the management of this water project, the primary objective of this research is to analyze how the governance of the PISF is being planned and implemented in the state of Paraíba. To this end, the study adopts a qualitative approach, conducting semi-structured interviews with state-level institutional managers, in addition to observation and document collection as the main data collection techniques. Discourse analysis will be employed as an analytical method. Therefore, this research aims to contribute a critical analysis of how decisions surrounding the PISF have been carried out in Paraíba, as it is one of the recipient states of the project’s transferred waters.
Editor: Universidade Federal da Paraíba
Tipo: Dissertação</description>
      <pubDate>Fri, 31 Oct 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.ufpb.br/jspui/handle/123456789/38804</guid>
      <dc:date>2025-10-31T00:00:00Z</dc:date>
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    <item>
      <title>Modelo de maturidade para as compras públicas estratégicas</title>
      <link>https://repositorio.ufpb.br/jspui/handle/123456789/37307</link>
      <description>Título: Modelo de maturidade para as compras públicas estratégicas
Autor(es): Santos, Diego de Almeida
Orientador: Vieira, James Batista
Abstract: The research developed a maturity model for strategic public procurement in&#xD;
the Brazilian context, designed for application in Direct Public Administration&#xD;
agencies. The objective is to assess the maturity level of public procurement&#xD;
processes, aiming to guide these organizations in achieving sustainable national&#xD;
development goals. The methodology employed combines document analysis to&#xD;
map relevant national and international best practices for building the model,&#xD;
validated by a panel of experts (two-stage Delphi method) and the application of the&#xD;
prototype in state public procurement offices. The validated maturity model&#xD;
comprises 25 items, each with four statements that reflect the progressive&#xD;
development of the organization.
Editor: Universidade Federal da Paraíba
Tipo: Dissertação</description>
      <pubDate>Thu, 31 Oct 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.ufpb.br/jspui/handle/123456789/37307</guid>
      <dc:date>2024-10-31T00:00:00Z</dc:date>
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