Breakthrough Research Award
Manuel Chaves Maza
Pablo de Olavide University, Spain
| Manuel Chaves Maza | |
|---|---|
| Affiliation | Pablo de Olavide University |
| Country | Spain |
| Scopus ID | 56337301300 |
| Documents | 10 |
| Citations | 58 |
| h-index | 4 |
| Subject Area | Artificial Neural Networks |
| Event | Top Teachers Awards |
| ORCID | 0000-0003-2420-8378 |
| Google Scholar | vM60iDUAAAAJ |
Manuel Chaves Maza is an Assistant Professor in the Department of Economics, Quantitative Methods and Economic History at Pablo de Olavide University. His academic work focuses on artificial intelligence, entrepreneurship, educational personalization, decision-support systems, and quantitative methods. His research combines neural networks, self-organizing maps, structural equation modeling, fsQCA, and predictive analytics to address societal, entrepreneurial, and educational challenges. The recognition of his contributions through consideration for the Breakthrough Research Award reflects sustained scholarly productivity, interdisciplinary innovation, and measurable research impact within artificial intelligence and entrepreneurship studies.[1]
Abstract
This article evaluates the academic achievements, scientific leadership, and research influence of Manuel Chaves Maza in relation to the Breakthrough Research Award. His scholarly contributions focus on artificial intelligence applications in entrepreneurship support systems, educational personalization, and data-driven public services. Through the development of predictive models, intelligent advisory systems, and interdisciplinary collaborations, his work has contributed to evidence-based decision-making and innovation ecosystems across academic and applied contexts.[2]
Keywords
Artificial Intelligence, Artificial Neural Networks, Entrepreneurship, Predictive Analytics, Personalized Learning, Educational Technology, Innovation Management, Public Support Services, Quantitative Methods, Entrepreneurial Success.
Introduction
The convergence of artificial intelligence and entrepreneurship has created new opportunities for evidence-based support systems and intelligent decision-making. Manuel Chaves Maza has established a research agenda centered on applying advanced computational techniques to entrepreneurial ecosystems and educational environments. His doctoral research introduced an intelligent entrepreneur support system based on extensive longitudinal datasets and advanced machine learning methods, achieving notable predictive accuracy while informing public policy and entrepreneurial advisory services.[3]
Research Profile
As a full-time Assistant Professor at Pablo de Olavide University, Manuel Chaves Maza combines academic research, teaching, and innovation leadership. His profile includes more than seventeen years of university teaching experience and participation in over two hundred research and development projects. He is affiliated with the SEJ332 Research Group “Quantitative Methods in Business and Economics” and has served as principal investigator, scientific coordinator, reviewer, consultant, and academic mentor across national and international initiatives. His research spans entrepreneurship, artificial intelligence, economic statistics, predictive analytics, and intelligent learning systems.[1]
Research Contributions
Among his most significant contributions is the development of intelligent systems that predict entrepreneurial success using neural networks, self-organizing maps, and machine-learning techniques. His doctoral research utilized more than 80,000 project records and hundreds of variables to model entrepreneurial outcomes and improve institutional support services. Additional contributions include AI-driven educational personalization models, Horizon-oriented innovation projects, entrepreneurship intelligence platforms, and collaborative initiatives such as MOSAIC, InfiniteLearner, Agora, SCultural, and Alzheimer-focused digital systems.[3][4]
- Principal Investigator of MOSAIC entrepreneurship intelligence initiative.
- Development of AI-based entrepreneur support systems.
- Research on adaptive learning pathways using neural networks.
- Leadership in interdisciplinary innovation and Horizon-oriented projects.
- Creation of open educational technologies and digital resources.
Publications
The publication record of Manuel Chaves Maza includes peer-reviewed articles in internationally indexed journals such as Journal of Innovation and Entrepreneurship, Entrepreneurship and Sustainability Issues, Computers in Human Behavior Reports, Journal of Research in Marketing and Entrepreneurship, Social Sciences, and Innovar. These publications collectively examine entrepreneurial success, support-service effectiveness, educational personalization, and artificial intelligence applications, contributing both methodological innovations and practical frameworks for decision-makers and researchers.[3][4][5]
Research Impact
Research metrics indicate measurable scholarly influence. Scopus records report 58 citations, 10 indexed documents, and an h-index of 4, while Google Scholar records exceed 170 citations and an h-index of 6. His article defining entrepreneurial success has received substantial citation activity and online attention, while research on post-COVID entrepreneurship support pathways demonstrates above-average field-weighted citation impact. His models have also informed entrepreneurship-support organizations and public advisory systems, extending impact beyond academia.[1][3][4]
Award Suitability
The Breakthrough Research Award recognizes innovative scholarship with demonstrable academic and societal relevance. Manuel Chaves Maza’s research aligns with these objectives through the integration of artificial intelligence, entrepreneurship, educational innovation, and public-sector decision support. His leadership of interdisciplinary projects, publication of impactful research, development of applied technologies, and contribution to international collaborations collectively support his suitability for recognition under this category. The combination of methodological rigor, practical implementation, and measurable impact distinguishes his academic profile.[1][4]
Conclusion
Manuel Chaves Maza has developed a multidisciplinary body of work centered on artificial intelligence, entrepreneurship, and educational innovation. His contributions demonstrate the practical application of advanced analytical methods to real-world challenges while maintaining academic rigor and international relevance. Through scholarly publications, research leadership, educational innovation, and technology transfer, he has established a profile consistent with the objectives of the Breakthrough Research Award and broader academic excellence initiatives.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Manuel Chaves-Maza, Author ID 56337301300. Scopus. https://www.scopus.com/authid/detail.uri?authorId=56337301300
- ORCID. (n.d.). Researcher profile of Manuel Chaves-Maza. https://orcid.org/0000-0003-2420-8378
- Chaves-Maza, M., & Martel, E. M. F. (2020). Entrepreneurship support ways after the COVID-19 crisis. Entrepreneurship and Sustainability Issues, 8(2), 662. DOI: https://doi.org/10.9770/jesi.2020.8.2(40)
- Chaves-Maza, M., & Fedriani, E. M. (2022). Defining entrepreneurial success to improve guidance services: A study with a comprehensive database from Andalusia. Journal of Innovation and Entrepreneurship, 11(1), 22. https://link.springer.com/article/10.1186/s13731-022-00213-8
- Chaves-Maza, M., Fedriani, E. M., & Ordaz Sanz, J. A. (2018). Fatores relevantes para otimizar os serviços públicos de apoio aos empreendedores e taxa de sobrevivência das empresas. Innovar, 28(69), 9–24.