Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap

Samayita Guha, Subodha Kumar

Production and Operations Management · 2017 · 244 citations · 107 references

Concepts

TL;DR

Consumers leave traceable digital footprints online, and firms seek to capture these to understand and predict consumer behavior. The study examines how big data analytics has been applied in information systems, operations management, and healthcare, and discusses future potential and challenges in areas such as cloud computing, IoT, smart cities, predictive manufacturing, 3‑D printing, and smart healthcare. The authors present a framework for applying big data in these domains to suggest future research directions.

Abstract

In this day, in the age of big data, consumers leave an easily traceable digital footprint whenever they visit a website online. Firms are interested in capturing the digital footprints of their consumers to understand and predict consumer behavior. This study deals with how big data analytics has been used in the domains of information systems, operations management, and healthcare . We also discuss the future potential of big data applications in these domains (especially in the areas of cloud computing, Internet of Things and smart city, predictive manufacturing and 3‐D printing, and smart healthcare) and the associated challenges. In this study, we present a framework for applications of big data in these domains with the goal of providing some interesting directions for future research.

References

107