Open AccessRankings analysis with the Pareto method
Author(s) -
Carlos Andres Delgado Saavedra,
Angel García-Baños,
Víctor Bucheli
Publication year - 2020
Publication title -
aibi revista de investigación, administración e ingeniería
Language(s) - English
Resource type - Journals
ISSN - 2346-030X
DOI - 10.15649/2346030x.852
Subject(s) - ranking (information retrieval) , rank (graph theory) , pareto principle , computer science , order (exchange) , operations research , resource (disambiguation) , econometrics , statistics , information retrieval , mathematics , economics , computer network , finance , combinatorics
Rankings compare the performance of organizations. In many cases, rankings provide a good assessment of successful or-ganizations. However, rankings often generate controversy and debate since they support the making decisions. A ranking is a weighted linear combination of indicators, and the weights assigned to each of the indicators can lead to different rank orders. In most cases, rankings are used as a tool to support making decisions, such as resource allocation; therefore, these decisions can be affected by the assignment of such weights. In this article, we analyze the behavior of a ranking and the weights; simulations are used to calculate the change in the order of the equally weighted ranking and of the randomly weighted ranking. In this regard, we present a discussion and ranking design alternatives.