Using multiple correspondence analysis to determine recommended professional profiles for Smart Cities projects
The absence of clearly defined professional profiles for Smart City engineers and technicians motivated this study, which aims to identify their key functions and skill requirements. An international survey was conducted among relevant stakeholders involved in Smart City projects to shape those two...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/133882 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/133882 |
| Access Level: | acceso abierto |
| Palabra clave: | Engineers ESCO Multiple correspondence analysis Multivariate data analysis Professional profiles Smart cities Technicians Estadística aplicada Informática (Informática) 1209.03 Análisis de Datos 1209.09 Análisis Multivariante 1203.17 Informática |
| Sumario: | The absence of clearly defined professional profiles for Smart City engineers and technicians motivated this study, which aims to identify their key functions and skill requirements. An international survey was conducted among relevant stakeholders involved in Smart City projects to shape those two profiles. The collected data were analysed through descriptive statistics and Multiple Correspondence Analysis (MCA), allowing the identification of functional domains that are essential for both roles, while also revealing distinctive patterns between them. The findings show that, although engineers and technicians share core technical competencies, engineers place comparatively greater emphasis on soft and green skills. Overall, the study provides an evidence-based characterisation of Smart City professional profiles, contributing to the refinement of European qualification and skills frameworks. |
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