16981.pdf

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Γλώσσα:English
Έκδοση: Firenze University Press 2022
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/978-88-5518-304-8_11
id oapen-20.500.12657-56321
record_format dspace
spelling oapen-20.500.12657-563212022-06-02T03:25:25Z 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 2022-06-01T12:19:05Z 2022-06-01T12:19:05Z 2021 chapter ONIX_20220601_9788855183048_506 2704-5846 9788855183048 https://library.oapen.org/handle/20.500.12657/56321 eng Proceedings e report application/pdf Attribution 4.0 International 16981.pdf https://books.fupress.com/doi/capitoli/978-88-5518-304-8_11 Firenze University Press 10.36253/978-88-5518-304-8.11 10.36253/978-88-5518-304-8.11 bf65d21a-78e5-4ba2-983a-dbfa90962870 9788855183048 127 6 Florence open access
institution OAPEN
collection DSpace
language English
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
title 16981.pdf
spellingShingle 16981.pdf
title_short 16981.pdf
title_full 16981.pdf
title_fullStr 16981.pdf
title_full_unstemmed 16981.pdf
title_sort 16981.pdf
publisher Firenze University Press
publishDate 2022
url https://books.fupress.com/doi/capitoli/978-88-5518-304-8_11
_version_ 1771297403613216768