Book chapter

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

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


ABOUT THIS CHAPTER

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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Keywords: PLS-PM, Bibliometrics analysis, Decision making

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Pages: 49-54

Published by: Firenze University Press

Publication year: 2021

DOI: 10.36253/978-88-5518-304-8.11

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Publication year: 2021

DOI: 10.36253/978-88-5518-304-8.11

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© 2021 Author(s)
Content licence CC BY 4.0
Metadata licence CC0 1.0

References

  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.

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Cataldo, R.; Antonucci, L.; Crocetta, C.; Grassia, M.; Marino, M.; 2021; A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation. Firenze, Firenze University Press.


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