Looking for Improving the Urban Areas: the Case of Costa Rican Cantons in Their Path to Become Smart
Metadata
Show full item recordEditorial
Springer Nature
Materia
Smart city Social/economic impact Cluster analysis
Date
2024-07-25Referencia bibliográfica
Rodríguez Bolívar, M.P., Pereira-Piedra, I.C. & Alcaide Muñoz, L. Looking for Improving the Urban Areas: the Case of Costa Rican Cantons in Their Path to Become Smart. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-01889-x
Sponsorship
Centre of Andalusian Studies under the grant number PR137/19; Carolina Foundation Scholarship; Office of International Affairs of the University of Costa Rica; Regional Government of Andalusia, Spain under the grant numbers P20_00314 and B‐SEJ‐556‐UGR20; Funding for open access charge: Universidad de Granada/CBUAAbstract
The process of becoming a smart city (SC) is still diffuse due to the contextual factors
and urban challenges that local governments must face, so it is necessary to
visualise new options and city strategies to implement them. This study contributes
to prior research offering new insights concerning patterns used by small-sized cities
in a developing and emerging country in the Latin American context (LATAM)
in their early stages of becoming smart, analysing the dimensions to be developed,
their pursued goals, their desired economic and/or social impacts, and the time
frames expected to reach them. Our findings, based on cluster analysis and Kendall’s
TAU C correlation, confirm differences in city strategies according to the contextual
challenges faced by cities emphasising three different governance models to become
smart based on the different significance given to the three components of the smart
governance concept. The different city clusters point out different correlations
among their priority goals and the smart dimensions, showing a different position
of the cities in the smart dimensions’ development and goals. Also, differences in
expected time frames to reach the aspired goals are identified. These findings allow
us to derive new theoretical and managerial implications for cities on their path to
become smart.