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Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling

What is the real meaning of sustainable innovation? How is sustainable innovation different from other forms of innovation? How does sustainable innovation contribute to societal development? How can we measure the sustainable innovation of a country—which indicators and which synthesis methods shou...

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Autores principales: Cataldo, Rosanna, Crocetta, Corrado, Grassia, Maria Gabriella, Mazzocchi, Paolo, Rocca, Antonella, Quintano, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586833/
https://www.ncbi.nlm.nih.gov/pubmed/34785850
http://dx.doi.org/10.1007/s11205-021-02846-w
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author Cataldo, Rosanna
Crocetta, Corrado
Grassia, Maria Gabriella
Mazzocchi, Paolo
Rocca, Antonella
Quintano, Claudio
author_facet Cataldo, Rosanna
Crocetta, Corrado
Grassia, Maria Gabriella
Mazzocchi, Paolo
Rocca, Antonella
Quintano, Claudio
author_sort Cataldo, Rosanna
collection PubMed
description What is the real meaning of sustainable innovation? How is sustainable innovation different from other forms of innovation? How does sustainable innovation contribute to societal development? How can we measure the sustainable innovation of a country—which indicators and which synthesis methods should we use? In this paper we try to answer these previous questions. Starting from the concept of sustainable innovation, as it has been extensively discussed in recent years in a range of disciplines from economics to engineering and sociology, the paper focuses on the basic criteria (such as indicators and statistical models) required to evaluate the sustainable innovation at the regional level, choosing Italy as a case study. From the elementary indicators of innovation, on one hand, and sustainability, on other hand, a composite indicator of sustainable innovation has been computed. The statistical model used to compute this composite indicator has been a Higher-Order Partial Least Squares Path model. The results obtained applying this model to the Italian scenario are discussed, the ranking of the different Italian regions, and the impact of the composite indicator sustainable innovation on economic results of each region are discussed.
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spelling pubmed-85868332021-11-12 Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling Cataldo, Rosanna Crocetta, Corrado Grassia, Maria Gabriella Mazzocchi, Paolo Rocca, Antonella Quintano, Claudio Soc Indic Res Original Research What is the real meaning of sustainable innovation? How is sustainable innovation different from other forms of innovation? How does sustainable innovation contribute to societal development? How can we measure the sustainable innovation of a country—which indicators and which synthesis methods should we use? In this paper we try to answer these previous questions. Starting from the concept of sustainable innovation, as it has been extensively discussed in recent years in a range of disciplines from economics to engineering and sociology, the paper focuses on the basic criteria (such as indicators and statistical models) required to evaluate the sustainable innovation at the regional level, choosing Italy as a case study. From the elementary indicators of innovation, on one hand, and sustainability, on other hand, a composite indicator of sustainable innovation has been computed. The statistical model used to compute this composite indicator has been a Higher-Order Partial Least Squares Path model. The results obtained applying this model to the Italian scenario are discussed, the ranking of the different Italian regions, and the impact of the composite indicator sustainable innovation on economic results of each region are discussed. Springer Netherlands 2021-11-12 /pmc/articles/PMC8586833/ /pubmed/34785850 http://dx.doi.org/10.1007/s11205-021-02846-w Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research
Cataldo, Rosanna
Crocetta, Corrado
Grassia, Maria Gabriella
Mazzocchi, Paolo
Rocca, Antonella
Quintano, Claudio
Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling
title Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling
title_full Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling
title_fullStr Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling
title_full_unstemmed Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling
title_short Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling
title_sort sustainable innovation: the italian scenario studied through higher-order partial least squares-path modeling
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586833/
https://www.ncbi.nlm.nih.gov/pubmed/34785850
http://dx.doi.org/10.1007/s11205-021-02846-w
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