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Applications of Big Data and Cloud Computing in Business and Management: A Systematic Literature Review

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IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1104))

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Abstract

Big data and cloud computing continue to emerge as the two most sought-after technologies in contemporary times. Although their focus is different where big data deals with huge amounts of data and cloud computing focuses mainly on the infrastructure, a combination of these two technologies is bringing a revolutionary change in the industrial field. The combination of technologies has contributed to scalable and cost-effective solutions in big data analytics. This study discusses the main application domains of big data and cloud computing in business and management. For this study, research papers from databases were extracted using suitable keywords out of which only 67 papers were selected after filtration for final review. The chapter identifies three main application areas of big data and cloud computing in the management area (smart systems, digital society and business decisions). An interconnection between these application areas and their technology-organization-environmental (TOE) framework was also identified. The chapter discusses the interconnection of each application area with the technological, organizational and environmental contexts forming a framework in light of our findings. It also provides directions for future research in these areas.

All the first three coauthors are equal contributors.

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Roy, M., Paul, S., Ahsan, Z.B., Kar, A.K., Ilavarasan, P.V., Gupta, A. (2023). Applications of Big Data and Cloud Computing in Business and Management: A Systematic Literature Review. In: Singh, P.K., Wierzchoń, S.T., Pawłowski, W., Kar, A.K., Kumar, Y. (eds) IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges. Studies in Computational Intelligence, vol 1104. Springer, Cham. https://doi.org/10.1007/978-3-031-35783-1_12

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