文章基本信息

标题：Big data as a value generator in decision support systems: a literature review
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作者：Gustavo Grander ; Luciano Ferreira da Silva ; Ernesto Del Rosário Santibañez Gonzalez 等
期刊名称：Revista de Gestao USP
印刷版ISSN：1809-2276
出版年度：2021
卷号：28
期号：3
页码：205-222
DOI：10.1108/REGE-03-2020-0014
语种：English
出版社：Faculdade de Economia, Administracao e Contabilidade - FEA-USP
摘要：Purpose This paper aims to analyze how decision support systems manage Big data to obtain value. Design/methodology/approach A systematic literature review was performed with screening and analysis of 72 articles published between 2012 and 2019. Findings The findings reveal that techniques of big data analytics, machine learning algorithms and technologies predominantly related to computer science and cloud computing are used on decision support systems. Another finding was that the main areas that these techniques and technologies are been applied are logistic, traffic, health, business and market. This article also allows authors to understand the relationship in which descriptive, predictive and prescriptive analyses are used according to an inverse relationship of complexity in data analysis and the need for human decision-making. Originality/value As it is an emerging theme, this study seeks to present an overview of the techniques and technologies that are being discussed in the literature to solve problems in their respective areas, as a form of theoretical contribution. The authors also understand that there is a practical contribution to the maturity of the discussion and with reflections even presented as suggestions for future research, such as the ethical discussion. This study’s descriptive classification can also serve as a guide for new researchers who seek to understand the research involving decision support systems and big data to gain value in our society.
关键词：Decision support systems;Big data;Machine learning;Analytics;Cloud computing;Algorithm