Análise dos indicadores de cidades inteligentes e suas influências contextuais

Abstract

The theme Smart Cities has shown a growing interest in academia, business administration, and political discussions as part of campaign and government plans. The phenomenon arises from the concern with the population increase in urban environments and its effects on sustainable development and is supported by the current stage of technology. Several definitions of Smart Cities link the phenomenon to the adoption of technology in order to improve the quality of life of citizens; however, there is great difficulty in characterizing what would be a Smart City. This difficulty is demonstrated by the various frameworks of indicators and rankings, which present different interpretations of the same phenomenon. In this context, the analysis of this work resorts to the Institutional Theory and Stakeholder Theory with the aim of, given the set of SC indicators, presenting the main drivers on which the SC concept can be identified, as well as identifying how these indicators configure as an element of contextual and stakeholder pressure. The methodology used in this work researched the different frameworks of indicators of Sustainable and Smart Cities as a unit of analysis, configuring the use of secondary data, in an inductive interpretative approach, using text analysis techniques (lexical analysis) and text mining. We examined 1032 indicators that make up 16 frameworks from different organizations and geographical contexts, analyzed in relation to their characteristics. The results obtained allowed us to verify that Smart Cities have both universal and contextual characteristics, with their indicators being influenced by the stakeholders who act on the institutions that elaborate them and that the isomorphic pressure was verified in their soft aspects mainly.