The Smart Cities MethodoLogy based on public value: The first evaluation cycle
Several smart cities initiatives are currently underway around the world, and this trend is expected to grow in the coming years. Such initiatives should be designed according to the needs and conditions of each municipality, with the aim of expanding or generating public value for stakeholders. Thi...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Brasil |
| Institución: | Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD) |
| Repositorio: | BAR - Brazilian Administration Review |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs3.bar.anpad.org.br:article/473 |
| Acceso en línea: | https://bar.anpad.org.br/index.php/bar/article/view/473 |
| Access Level: | acceso abierto |
| Palabra clave: | design science research smart cities public value quadruple helix smart cities methodology |
| Sumario: | Several smart cities initiatives are currently underway around the world, and this trend is expected to grow in the coming years. Such initiatives should be designed according to the needs and conditions of each municipality, with the aim of expanding or generating public value for stakeholders. This paper analyzes the results obtained from a first evaluation cycle of the Smart Cities MethodoLogy and its components (a reference model and an assessment method), developed based on a Public Value perspective, in a study conducted within the Design Science epistemological paradigm and Design Science Research method. The artifacts developed to solve the identified problem were evaluated, based on the perceptions reported by representatives of the Quadruple Helix (government, industry, academia and citizens) from different knowledge areas. The results of this first evaluation cycle allowed for improvements to be made to the initial versions of the three artifacts and the perceptions obtained indicated they can aid in the design and evaluation of smart cities by bringing together supposed intelligent best practices that generate public value, thus constituting a scientific contribution of a prescriptive nature. |
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