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This study investigates the relationship between the strength of innovative entrepreneurial ecosystems and subjective well-being in 43 European smart cities. Subjective well-being is operationalized by a Quality of Life (QOL) survey that references the level of multidimensional satisfaction or happiness expressed by residents at the city level. The entrepreneurial ecosystem concept depicted here highlights actor interdependence that creates new value in a specific community by undertaking innovative entrepreneurial activities. The research uses objective and subjective variables to analyze the relationships between the entrepreneurial ecosystem and subjective well-being.

The authors conducted a cluster analysis with a nonaggregative quantitative approach based on the theory of the partially ordered set (poset); the objective was to find significant smart city level relationships between the entrepreneurial ecosystem and subjective well-being.

The strength of the entrepreneurial ecosystem is positively related to subjective well-being only in large cities. This result confirms a strong interdependency between the creation of innovative entrepreneurial activities and subjective well-being in large cities. The smart cities QOL dimensions showing higher correlations with the entrepreneurial ecosystem include urban welfare, economic well-being and environmental quality, such as information and communications technology (ICT) and mobility.

Despite the main implications being properly referred to large cities, the governments of smart cities should encourage and promote programs to improve citizens' subjective well-being and to create a conducive entrepreneurship environment.

This study is one of the few contributions focused on the relationship between the entrepreneurial smart city ecosystem and subjective well-being in the urban environment.

The aim of this study is to provide a detailed picture of the digitalization propensity and human IT agility of Italian SMEs, verifying whether companies are pursuing coherent and reliable choices for these dimensions and whether digitalization choices affect human IT agility.

Using a POSET approach, this study constructs two nonaggregative multidimensional indicators of human information technology (IT) agility and firms' digitalization. The analysis is based on the microdata provided by ISTAT relating to 4,682 Italian manufacturing companies.

The results show the existence of a strong relationship between digitalization propensity and human IT agility. However, the analysis shows that companies are characterized by a low level of digitalization propensity and human IT agility. At the same time, the findings highlighted that the managerial choices adopted by companies appear to be inconsistent with respect to the two multidimensional indicators.

This study has important implications for managers and policymakers by suggesting acting specific policies to promote a better implementation of digitalization that considers the key role of human IT agility.

This study contributes to the existing literature on organizational agility and digitalization by providing a detailed picture of the Italian manufactured SMEs. At the same time, the POSET approach allows to aggregate a lot of information in one or more indicators without neglecting the value of each dimension faced with the extreme heterogeneity of companies' profiles.