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

Abstract

I n 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.

Digitalisation of Development and Supply Networks: Sequential and Platform-Driven Innovations

“…Our observations on sequential and parallel digitalisation in networks, and allied data-driven decision-making, which is consistent with Guha and Kumar (2017), offer opportunities for follow-up optimisation research. For instance, how would network-centric measures with either sequential or platform-based modalities affect goal programming associated with three-dimensional concurrent engineering (3D-CE) (Fine et al, 2005)?…”

“…Here, unique sets of competitive measures and outcomes could emerge through optimisation and allied data analytics. Guha and Kumar (2017) reviewed emerging analytics capabilities drawing upon the organisational goals (Romano and Formentini, 2012) and supplier performance (Chai and Ngai, 2015) literature. They point out that supply network design using digitalisation can generate a massive amount of data and visibility for customers.…”

To Be or Not to Be? Big Data Business Investment Decision-Making in the Supply Chain

“…Information technology investment can help enterprises in the supply chain to make more accurate decisions [23,31]. Choi et al [23] investigate the real-world applications of big data analytics in top branded enterprises via case studies.…”

Two Is Better Than One: A Dynamic Analysis of Value Co‐Creation

“…It is argued in the literature that service creation and delivery are becoming more complex and unstructured, and services need to be tailored to fit unique needs of client firms and the market (Bettencourt et al 2002, Demirezen and Kumar 2016, Demirezen et al 2016a, Guha and Kumar 2018, Li and Kumar 2018. Therefore, clients must participate in the generation of services in order to obtain substantial value from the collaboration.…”