Big data as a value generator in decision support systems: a literature review

Abstract

PurposeThis paper aims to analyze how decision support systems manage Big data to obtain value.Design/methodology/approachA systematic literature review was performed with screening and analysis of 72 articles published between 2012 and 2019.FindingsThe 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/valueAs 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.

Digital Transformation Strategies Enabled by Internet of Things and Big Data Analytics: The Use-Case of Telecommunication Companies in Greece

“…In addition, the compulsory usage of a technology is almost certain to take the lead at corporate advantages, assuring improved performance. The value of a system can also be found in its efficient use [59]. Executives might positively impact the process if they feel in charge of the results [43].…”

Potential of Advanced Technologies for Environmental Management Systems

“…The involvement of citizens in environmental monitoring serves to cultivate a sense of responsibility and empowers communities to actively engage in the decision-making processes related to environmental matters. Decision support and scenario analysis play a crucial role in leveraging big data analytics for effective decision-making in environmental management systems [108]. Through the integration of data from diverse sources, such as IoT devices, organizations are empowered to make informed decisions that optimize their activities, minimize environmental harm, and ultimately achieve sustainability objectives.…”

Sufficiency and necessity of big data capabilities for decision performance in the public sector

“…The quality of decision-making is primarily influenced by data-related decision-making capabilities (Shamim et al , 2019). Decision-makers can alter how companies work, operate and create value (Raguseo et al , 2020; Grander et al , 2021). To facilitate this, leaders of organizations significantly impact the creation and reconfiguration of dynamic capabilities (Schoemaker et al , 2018) and provide an effective means to drive the directions of their organizations (Dessler et al , 2001).…”

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