A Bibliometric Review of Decision Models in Uncertainty Between 1990 and 2018

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2 Citas (Scopus)

Resumen

The increase in uncertainty due to frequent changes affects decision making, increasing the complexity of choosing the best decisions. For this reason, the decision-maker is looking for alternatives to reduce risks and meet these new challenges. In this context, the document aims to carry out a bibliometric review of decision models under uncertainty between 1990 and 2018 and to learn about the scientific progress of seventeen peer-validated models. It analyses 21,535 articles in nine bibliometric indicators extracted from the Web of Science database. As main results, a positive trend of publications in the analysed models observed, being the Analytical Hierarchical Process (AHP) the most used one. Also, China presented as a country with more scientific collaborations. There is excellent potential for future lines of research on the subject.

Idioma originalInglés
Título de la publicación alojadaComputational and Decision Methods in Economics and Business - Proceedings of the International Workshop “Innovation, Complexity and Uncertainty in Economics and Business”
EditoresAnna Maria Gil-Lafuente, Josefa Boria, Agustín Torres, José M. Merigó, Janusz Kacprzyk
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas217-225
Número de páginas9
ISBN (versión impresa)9783030937867
DOI
EstadoPublicada - 2022
EventoInternational Workshop on Innovation, Complexity and Uncertainty in Economics and Business, REDCID 2019 - Barcelona, Espana
Duración: 14 nov. 201915 nov. 2019

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen388 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Workshop on Innovation, Complexity and Uncertainty in Economics and Business, REDCID 2019
País/TerritorioEspana
CiudadBarcelona
Período14/11/1915/11/19

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