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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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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. |
format | Online Article Text |
id | pubmed-8586833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
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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