Contained in:
Book Chapter

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

  • Rosanna Cataldo
  • Laura Antonucci
  • Corrado Crocetta
  • Maria Gabriella Grassia
  • Marina Marino

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

  • Keywords:
  • PLS-PM,
  • Bibliometrics analysis,
  • Decision making,
+ Show More

Rosanna Cataldo

University of Naples Federico II, Italy - ORCID: 0000-0002-6324-8252

Laura Antonucci

University of Foggia, Italy - ORCID: 0000-0003-0211-2578

Corrado Crocetta

University of Foggia, Italy - ORCID: 0000-0001-9059-5092

Maria Gabriella Grassia

University of Naples Federico II, Italy - ORCID: 0000-0002-7128-7323

Marina Marino

University of Naples Federico II, Italy - ORCID: 0000-0002-0742-5912

  1. Aria, M., Cuccurullo, C. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. Journal of Informetrics, Elsevier, 11(4), pp. 959- 975.
  2. Cataldo, R., Grassia, M.G., Lauro, C.N., Marino, M., Voytsekhovska, V. (2019). A bibliometric study of the global research activity in sustainability and its dimensions. In International Conference on Data Science and Social Research, pp. 91-102. Springer, Cham.
  3. Diem, A., Wolter, S.C. (2013). The use of bibliometrics to measure research performance in education sciences. Research in Higher Education, 54(1), pp. 86-114.
  4. Falagas, M. E., Karavasiou, A.I., Bliziotis, I.A. (2006). A bibliometric analysis of global trends of research productivity in tropical medicine. Acta Tropica, 99 (2-3), pp. 155-159.
  5. Garfield, E., Sher, I.H., Torpie, R.J. (1964). The use of citation data in writing the history of science. Institute for Scientific Information Inc Philadelphia PA.
  6. Maharana, R.K. (2013). Bibliometric analysis of Orissa University of agricultural technology’s research output as indexed in Scopus in 2008-2012. Chinese Librarianship: An International Electronic Journal, 36.
  7. Morandi, G., Guido, D., Tagliabue, A. (2015). A bibliometric study of scientific literature on the dietary therapies for epilepsy in Scopus. Nutritional Neuroscience, 18(5), pp. 201-209.
  8. Pourkhani, A., Abdipour, K., Baher, B., Moslehpour, M. (2019). The impact of social media in business growth and performance: a scientometrics analysis. International Journal of Data and Network Science, 3(3), pp. 223-244.
  9. Rodriguez-Soler, R., Uribe-Toril, J., Valenciano, J.D.P. (2020). Worldwide trends in the sci- entific production on rural depopulation, a bibliometric analysis using bibliometrix R-tool. Land Use Policy, 97, pp. 104787.
  10. Skute, I., Zalewska-Kurek, K., Hatak, I., de Weerd-Nederhof, P. (2019). Mapping the field: a bibliometric analysis of the literature on university-industry collaborations. The Journal of Technology Transfer, 44(3), pp. 916-947.
  11. White, H.D., McCain, K.W. (1989). Bibliometrics. Annual Review of Information Science and Technology, 24, pp. 119-186.
PDF
  • Publication Year: 2021
  • Pages: 49-54
  • Content License: CC BY 4.0
  • © 2021 Author(s)

XML
  • Publication Year: 2021
  • Content License: CC BY 4.0
  • © 2021 Author(s)

Chapter Information

Chapter Title

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

Authors

Rosanna Cataldo, Laura Antonucci, Corrado Crocetta, Maria Gabriella Grassia, Marina Marino

Language

English

DOI

10.36253/978-88-5518-304-8.11

Peer Reviewed

Publication Year

2021

Copyright Information

© 2021 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

ASA 2021 Statistics and Information Systems for Policy Evaluation

Book Subtitle

Book of short papers of the opening conference

Editors

Bruno Bertaccini, Luigi Fabbris, Alessandra Petrucci

Peer Reviewed

Publication Year

2021

Copyright Information

© 2021 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/978-88-5518-304-8

eISBN (pdf)

978-88-5518-304-8

eISBN (xml)

978-88-5518-305-5

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

159

Fulltext
downloads

241

Views

Export Citation

1,297

Open Access Books

in the Catalogue

1,746

Book Chapters

3,070,547

Fulltext
downloads

3,973

Authors

from 817 Research Institutions

of 63 Nations

61

scientific boards

from 334 Research Institutions

of 42 Nations

1,139

Referees

from 343 Research Institutions

of 36 Nations