Efficient Project Management for Strengthening Local Development of MSMEs Towards a Smart, Sustainable, and Innovative City Model Based on Mathematical Models and Quantitative Techniques

This project addresses the need to modernize SME management in Cuenca, Ecuador, by integrating agile methodologies, mathematical models, and quantitative techniques to foster local development aligned with the smart city concept. Given the complexity of integrating emerging technologies into urban environments and the lack of interoperability, the research proposes a systematic approach that includes territorial diagnosis, data-driven hypothesis formulation, and experimentation through technological prototypes. The core problem lies in the traditional application of project management, which often ignores the specificities of SMEs and their impact on local development. The proposed solution uses tools such as data analytics, artificial intelligence, and the Internet of Things (IoT) to improve decision-making, reduce financial risks, and optimize resource allocation. The expected results are intended to contribute to operational efficiency, environmental sustainability, and the improvement of urban services. The project not only seeks to strengthen business competitiveness but also to promote citizen participation and public-private collaboration, aligning with the United Nations Sustainable Development Goals (SDGs) 7, 9, 11, 13, and 17.<br/><br/><b>Goal</b>: <br/>Design new management models for SMEs through the application of mathematical models and quantitative techniques, aimed at strengthening local development and the transition towards smart, sustainable, and innovative cities. The project seeks to optimize decision-making and operational efficiency through advanced technological tools.<br/><br/><b>Research lines</b>: <br/>Entrepreneurship and innovation<br/>MSME Management<br/>Local development, popular economy and popular finance