A Data intensive Framework for configurable smart Governance Systems

• Autores: Salvador Muñoz
• Directores de la Tesis: David Benavides (dir. tes.) , Francisco José Domínguez Mayo (dir. tes.)
• Lectura: En la Universidad de Sevilla ( España ) en 2025
• Idioma: inglés
• Número de páginas: 305
• Enlaces
  • Tesis en acceso abierto en: Idus
• Resumen

  • Smart governance is a form of collaborative government open to civil society that takes advantage of intensive ICT use. One foundation of smart governance is to base decision-making on the large amount of data generated by public administrations and on the knowledge of all stakeholders: citizens, institutional staff, private sector companies, and professionals.

    However, most existing tools and applications are neither data-driven nor knowledge-based, so they do not consider data and stakeholders' knowledge of the issues. Thus, they run the risk of ineffective or unacceptable decisions. This is mainly due to the lack of frameworks and models that contemplate data availability and collective knowledge, and facilitate the implementation of smart governance services in the complete public policy cycle. Furthermore, existing proposals do not cover most of the key aspects of smart governance, and are not generally oriented to implementation, as they do not provide sufficient components to facilitate institutions to achieve it. In addition, smart governance systems are variability-intensive systems. For example, small village smart governance features might not be the same as big city ones, making the development of tailor-made systems challenging.

    In this scenario, we saw the opportunity through a collaborative project (within the framework of an industrial PhD doctorate) between the University of Seville (US) and the Informatics Provincial Company (INPRO) to test in a real environment these challenges and provide a solution that advances in smart governments open to citizenship. Thus, the US provided research capabilities and technological knowledge, and INPRO the experience and knowledge on e-administration, as well as access to local government stakeholders.

    To validate the former claims, we first conducted a Delphi study by surveying experts in citizen participation and e-government from municipalities of different sizes in Seville province (Spain). The results together with an analysis of existing tools, confirmed the needs and gaps identified for smart governance implementation. We highlight the great variability of needs, as well as the contradiction between the great interest in achieving smart governance in local administration and the scarce resources to accomplish it.

    Secondly, to fill these gaps and address these challenges, we have developed a conceptual framework for the implementation of configurable smart governance services (COLABOR-I). This framework contemplates key aspects such as data-driven decision-making and the management of internal and external knowledge within the organization, as well as that provided by stakeholders, which enhances consensus and collective decision-making. To this end, it takes into account data and IT in an intensive way, integrating the fields and techniques of electronic collaboration, data analysis, knowledge management, decision-making and artificial intelligence. Its components, such as a collaborative process, architecture and features (of systems to be developed), will help the development of adapted and integrated solutions with the e-government systems of the institutions. For this purpose, a model in TOGAF-Archimate of the architecture is also provided as a starting point for designing smart governance solutions with a data-intensive and knowledge-based collaborative governance model. Third, since the variability of these services was patent, we present a smart governance product line together with a tool to facilitate the deployment and configuration of e-governance services that meet the diverse institutions' needs.

    We envision that our contribution will encourage the development and deployment of smart governance services. On the one hand, by providing a common framework for the working together of all stakeholders (political and technical) in smart governance, and on the other hand, a set of conceptual and technical resources to facilitate its implementation.