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Bibliometric analysis of scientific production on methods to aid decision making in the last 40 years

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DOI:

https://doi.org/10.1590/SciELOPreprints.3576

Keywords:

Multicriteria, MCDA, MCDM, bibliometric analysis, AHP, TOPSIS, VIKOR, PROMETHEE, ANP

Abstract

Purpose: Multicriteria methods have gained traction in both academia and industry practices for effective decision-making over the years. This bibliometric study aims to explore and provide an overview of research carried out on multicriteria methods, in its various aspects, over the past forty-four years.

Design/Methodology/Approach: The Web of Science (WoS) and Scopus databases were searched for publications from January 1945 to April 29, 2021, on multicriteria methods in titles, abstracts, and keywords. The bibliographic data were analyzed using the R bibliometrix package.

Findings: This bibliometric study asserts that 29,050 authors have produced 20,861 documents on the theme of multicriteria methods in 131 countries in the last forty-four years. Scientific production in this area grows at a rate of 13.88 per year. China is the leading country in publications with 14.14%; India with 10.76%; and Iran with 8.09%. Islamic Azad University leads others with 504 publications, followed by the Vilnius Gediminas Technical University with 456 and the National Institute of Technology with 336. As for journals, Expert Systems With Applications; Sustainability; and Journal of Cleaner Production are the leading journals, which account for more than 4.67% of all indexed literature. Furthermore, Zavadskas E. and Wang J have the highest publications in the multicriteria methods domain regarding the authors. Regarding the most commonly used multicriteria decision-making methods, AHP is the most favored approach among the ten countries with the most publications in this research area, followed by TOPSIS, VIKOR, PROMETHEE, and ANP.

Practical implications: The bibliometric literature review method allows the researchers to explore the multicriteria research area more extensively than the traditional literature review method. It enables a large dataset of bibliographic records to be systematically analyzed through statistical measures, yielding informative insights.

Originality/value: The usefulness of this bibliometric study is summed in presenting an overview of the topic of the multicriteria methods during the previous forty-four years, allowing other academics to use this research as a starting point for their research.

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Author Biographies

Márcio Basílio, Military Police of the Rio de Janeiro

Marcio Pereira Basilio is a retired Colonel in the Military Police of the State of Rio de Janeiro. In the period 2019-2021 he held the position of Undersecretary of State in the administration of the government of the State of Rio de Janeiro. PhD in production engineering at the Federal Fluminense University - Brazil. His research interests include decision analysis, multi-criteria decision aid, data mining, operational research, optimization, public safety, police work. Marcio Pereira Basilio can contacted at: marciopbasilio@gmail.com; marcio_basilio@id.uff.br

Valdecy Pereira, Fluminense Federal University

Valdecy Pereira is a Researcher at the Federal Fluminense University (UFF) in Brazil. He received his PhD degree in production engineering from UFF in 2012. His research interests include decision analysis, multi-criteria decision aid, statistic, production planning and control.

Helder Gomes Costa, Fluminense Federal University

Helder Gomes Costa is an Associate Professor at Federal Fluminense University in Brazil since 2006. He received PhD in Mechanical Engineering from PUC-Rio. His research interests include decision analysis, multi-criteria decision aid, organizational performance, production planning and control.

Marcos dos Santos, Military Institute of Engineering

Marcos dos Santos is a Brazilian Navy Commander, with a 28-year career. He has two post-docs, one of them in Space Sciences and Technologies at the Technological Institute of Aeronautics (ITA). Doctor in Systems, Decision Support and Logistics from the Fluminense Federal University (UFF). Master in Operational Research from COPPE UFRJ. He is Professor of Advanced Mathematics at the Military Institute of Engineering (IME). He is part of the faculty of the Data Science and Analytics course at the University of São Paulo (USP) and is a member of the Board of Directors of the Brazilian Society for Operational Research (SOBRAPO).

Amartya Ghosh, Symbiosis Institute of Business Management

Amartya Ghosh is a Doctoral Research Scholar at Symbiosis International (Deemed University) in Pune, India, and his research interests include rural household adoption of decentralized solar energy systems, along with consumer behavior and rural marketing. In 2016, he earned a Master of Business Administration (MBA) in Marketing from the Symbiosis Institute of Business Management (SIBM) in Hyderabad, India.

Posted

03/21/2022

How to Cite

Basílio, M., Pereira, V., Costa, H. G., Santos, M. dos, & Ghosh, A. (2022). Bibliometric analysis of scientific production on methods to aid decision making in the last 40 years. In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.3576

Section

Engineering
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