![]() This phenomenon has led to the conception of the “big data” notion to give details about “the information asset characterized by such a high volume, velocity and variety to require specific technology and analytical methods for its transformation into value” ( De Mauro et al., 2016, p. In this “data flood” era, technological advances support at any level what is not manageable with currently available technologies ( Amorim et al., 2017 Wang and Hajli, 2017). Nowadays, there is plenty of data that floods organizational contexts, social activities, health care, etc. Information has always been considered the key input for improving organizations in all sectors, and in recent years, big data has been widely used by the information technology (IT) industry to produce critical information that produces considerable revenue. The full terms of this licence may be seen at Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Ĭopyright © 2022, Simone Fanelli, Lorenzo Pratici, Fiorella Pia Salvatore, Chiara Carolina Donelli and Antonello Zangrandi. (2023), "Big data analysis for decision-making processes: challenges and opportunities for the management of health-care organizations", Management Research Review, Vol. Keywordsįanelli, S., Pratici, L., Salvatore, F.P., Donelli, C.C. This study thus sheds light on emerging issues and suggests further research that may be needed. It represents an important tool to be investigated and its great potential is often yet to be discovered. Furthermore, as big data is a “sexy catchphrase,” more clarity on its usage may be needed. However, to date, there is no comprehensive literature review on the big data analysis in health care. The literature is mature enough for an analysis to be made and provide managers with useful insights on opportunities, criticisms and perspectives on the use of big data for health-care organizations. This study seeks to provide a comprehensive picture of the different streams of literature existing, together with gaps in research and future perspectives. Thus, more and more organizations continue to invest in big data analytics, and the literature on this topic has expanded rapidly. Health-care organizations believe strongly that big data can become the most effective tool for correctly influencing the decision-making processes.
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