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Strategic principles for smart city development: A multiple case study analysis of European best practices.
- Source :
- Technological Forecasting & Social Change; May2019, Vol. 142, p70-97, 28p
- Publication Year :
- 2019
-
Abstract
- Abstract Recent studies reveal a deep-rooted division in research on smart cities, which surfaces as a set of dichotomies that question whether smart city development should be based on a: (1) technology-led or holistic strategy; (2) double or quadruple-helix model of collaboration; (3) top-down or bottom-up approach; (4) mono-dimensional or integrated intervention logic. These dichotomies generate a critical knowledge gap because they suggest divergent hypotheses on what principles need to be considered when implementing strategies for enabling smart city development. This paper starts filling such a gap by reporting on the findings of a multiple case study analysis which is conducted into European best practices. In meeting this aim, four European cities considered to be leaders in the field of smart city development are analyzed to test the validity of the hypotheses emerging from each dichotomy. These cities are Amsterdam, Barcelona, Helsinki and Vienna. The results of this best practice analysis offer a series of critical insights into what strategic principles drive smart city development in Europe and generate scientific knowledge which helps to overcome the dichotomous nature of smart city research. Highlights • The knowledge gap and division generated by the dichotomous nature of smart city research are revealed. • Divergent hypotheses on how to enable smart city development are presented. • The hypotheses are tested with a multiple case study analysis of European best practices. • A set of strategic principles for guiding smart city development in Europe is established. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00401625
- Volume :
- 142
- Database :
- Supplemental Index
- Journal :
- Technological Forecasting & Social Change
- Publication Type :
- Academic Journal
- Accession number :
- 135355107
- Full Text :
- https://doi.org/10.1016/j.techfore.2018.07.035