Big Data Analytics and Business Failures in Data-Rich Environments: An Organizing Framework

In view of the burgeoning scholarly works on big data and big data analytical capabilities, there

remains limited research on how different access to big data and different big data analytic

capabilities possessed by firms can generate diverse conditions leading to business failure. To fill

this gap in the existing literature, an integrated framework was developed that entailed two

approaches to big data as an asset (i.e. threshold resource and distinctive resource) and two types

of competences in big data analytics (i.e. threshold competence and distinctive/core competence).

The analysis provides insights into how ordinary big data analytic capability and mere possession

of big data are more likely to create conditions for business failure. The study extends the existing

streams of research by shedding light on decisions and processes in facilitating or hampering

firms’ ability to harness big data to mitigate the cause of business failures. The analysis led to the

categorisation of a number of fruitful avenues for research on data-driven approaches to business

failure.