Chapter A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation

Structural equation modeling (SEM), especially partial least squares path modeling (PLS-PM) has become a mainstream method in many fields of research. In the last years it has been increasingly disseminated in a variety of disciplines. The researchers have been promoting this new statistical methods...

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Auteurs principaux: Cataldo, Rosanna, ANTONUCCI, LAURA, CROCETTA, CORRADO, GRASSIA, Maria Gabriella, Marino, Marina
Format: Online
Langue:anglais
Publié: Firenze University Press 2022
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Accès en ligne:ONIX_20220601_9788855183048_506
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author Cataldo, Rosanna
ANTONUCCI, LAURA
CROCETTA, CORRADO
GRASSIA, Maria Gabriella
Marino, Marina
author_browse ANTONUCCI, LAURA
CROCETTA, CORRADO
Cataldo, Rosanna
GRASSIA, Maria Gabriella
Marino, Marina
author_facet Cataldo, Rosanna
ANTONUCCI, LAURA
CROCETTA, CORRADO
GRASSIA, Maria Gabriella
Marino, Marina
author_sort Cataldo, Rosanna
collection Directory of Open Access Books
description Structural equation modeling (SEM), especially partial least squares path modeling (PLS-PM) has become a mainstream method in many fields of research. In the last years it has been increasingly disseminated in a variety of disciplines. The researchers have been promoting this new statistical methods for the evaluation of policies. Generally, policy evaluation applies evaluation principles and methods to examine the content, implementation or impact of a policy. To better understand and characterize this trend, a bibliometric study of international papers on this subject has been developed in order to describe the use of SEM and PLS-PM approaches in the policy evaluation in the almost last 20 years. A total of 450 articles from 2000 to 2020 have been selected and analyzed in order to discover the research trends in this field and the main dimensions and words related to the terms “decision making” and “SEM-PLS” approach, that are most commonly employed in the scientific literature. The research has been conducted in theWeb of Science from ISI Web of Knowledge database and Scopus database, with the aim of identifying the major themes, authors, areas, types of the sources, titles, years of publication and countries of these publications, as well as the main themes related to the two topic analyzed
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language eng
publishDate 2022
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publishDateSort 2022
publisher Firenze University Press
publisherStr Firenze University Press
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spelling doab-20.500.12854ir-821462022-06-02T04:04:48Z Chapter A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation Cataldo, Rosanna ANTONUCCI, LAURA CROCETTA, CORRADO GRASSIA, Maria Gabriella Marino, Marina PLS-PM Bibliometrics analysis Decision making Structural equation modeling (SEM), especially partial least squares path modeling (PLS-PM) has become a mainstream method in many fields of research. In the last years it has been increasingly disseminated in a variety of disciplines. The researchers have been promoting this new statistical methods for the evaluation of policies. Generally, policy evaluation applies evaluation principles and methods to examine the content, implementation or impact of a policy. To better understand and characterize this trend, a bibliometric study of international papers on this subject has been developed in order to describe the use of SEM and PLS-PM approaches in the policy evaluation in the almost last 20 years. A total of 450 articles from 2000 to 2020 have been selected and analyzed in order to discover the research trends in this field and the main dimensions and words related to the terms “decision making” and “SEM-PLS” approach, that are most commonly employed in the scientific literature. The research has been conducted in theWeb of Science from ISI Web of Knowledge database and Scopus database, with the aim of identifying the major themes, authors, areas, types of the sources, titles, years of publication and countries of these publications, as well as the main themes related to the two topic analyzed 2022-06-02T04:04:47Z 2022-06-02T04:04:47Z 2022-06-01T12:19:05Z 2021 chapter ONIX_20220601_9788855183048_506 2704-5846 https://library.oapen.org/handle/20.500.12657/56321 9788855183048 https://directory.doabooks.org/handle/20.500.12854/82146 eng Proceedings e report open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/56321/1/16981.pdf Firenze University Press 10.36253/978-88-5518-304-8.11 10.36253/978-88-5518-304-8.11 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9788855183048 6 Florence open access
spellingShingle PLS-PM
Bibliometrics analysis
Decision making
Cataldo, Rosanna
ANTONUCCI, LAURA
CROCETTA, CORRADO
GRASSIA, Maria Gabriella
Marino, Marina
Chapter A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation
title Chapter A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation
title_full Chapter A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation
title_fullStr Chapter A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation
title_full_unstemmed Chapter A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation
title_short Chapter A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation
title_sort chapter a bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation
topic PLS-PM
Bibliometrics analysis
Decision making
topic_facet PLS-PM
Bibliometrics analysis
Decision making
url ONIX_20220601_9788855183048_506
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