Abstract
This article aimed to identify relationships between Big Data and Decision Support Systems. For this, we conducted a search in the Scopus database and as a result, we identified a report according to the increased frequency of publications, frequency of publications in journals and, using the VOSviewer software, we performed an analysis of words co-citation. We identified 5 groups of keywords that suggest different areas of study (e.g., logistics, health and social media), as well as a more recent focus on studies aimed at sustainable development, machine learning, analytical techniques and decision-making processes decision. An important contribution that should also be highlighted was the strong relationship between the keywords Big Data, artificial intelligence and decision making, suggesting studies involving the three terms in a large number of works.
Highlights
Big Data can be defined as a generic term for any collection of large, complex datasets that are difficult to store, process, analyze, and understand using traditional database processing tools (Huang & Chaovalitwongse, 2015)
We identified 5 clusters through network analysis, recent studies with 'machine learning' and 'sustainable development' terms related to Big Data and Decision Support Systems (DSS), and a strong relationship of the term 'artificial intelligence' to the search terms used in this research
This article aimed to identify the relationships between Big Data and DSS; and to achieve this objective a search in the Scopus database was carried out and interpreted using the VOSviewer software
Summary
Big Data can be defined as a generic term for any collection of large, complex datasets that are difficult to store, process, analyze, and understand using traditional database processing tools (Huang & Chaovalitwongse, 2015). There is a common acceptance that Big data can be adopted at strategic, tactical, and operational levels, improving existing decision-making practices (Wamba, Ngai, Riggings, & Akter, 2017). Its use is either to support decision making or to make automated decisions (Davenport & Dyche, 2013). Through Decision Support Systems (DSS), it is possible to process large volumes of data using output models and outputs with interfaces that increasingly permeate the professions with a high level of knowledge (Constantiou & Kallinikos, 2014)
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