EconPapers    
Economics at your fingertips  
 

The alignment of University curricula with the building of a Smart City: A case study from Barcelona

Didier Grimaldi and Vicenc Fernandez

Technological Forecasting and Social Change, 2017, vol. 123, issue C, 298-306

Abstract: This paper argues the role of the University in the Smart City transformation strategy. The theoretical structure takes as reference the recent Complexity theory for city development and their application to the networks of the Connected city. The approach is based on a justified selection of Barcelona and its four universities. We carry out a deductive and interpretivist method interviewing 19 senior experts whole profiles represent the different forces of the Triple Helix model. Our results show the Barcelona city hall has the objective to implement five main innovative services which are fuelled by six main emerging technologies. Nevertheless, we demonstrate that the universities curriculum is not aligned with the city hall's objectives and a gap exists to prepare the undergraduates to the professions required for the Smart City. We recommend six propositions to reshape the University program curricula and leverage the application of Complexity theory to network. The originality of this study is to propose a 3-phases method along with a framework with pre-filled templates and protocols of interviews to analyze universities that pursue the objective to support Smart Cities implementation in a new context of science of cities.

Keywords: University curricula; Smart City services; Emerging technologies; Innovation; Science of cities (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162516000779
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:123:y:2017:i:c:p:298-306

DOI: 10.1016/j.techfore.2016.03.011

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:123:y:2017:i:c:p:298-306