Description
Big data is generating a lot of interest across different industries, with firms seeking to leverage big data to obtain enormous benefits. In the health insurance industry, especially in developing countries, there are efforts to use big data to increase healthcare access and at the same time reduce cost. Despite these efforts, there is a lack of literature on how to develop big data capabilities. Conceptually, the typology of capabilities has been suggested to follow a hierarchical order from resources and finally lead to dynamic capabilities in firms. This research examines the typology of big data capabilities in a health insurance developing country firm, to achieve dynamic capabilities from resources.
Recommended Citation
Marfo, John Serbe; Boateng, Richard; and Effah, John, "A Typology of Big Data Capabilities from Resources to Dynamic Capabilities. Evidence from a Ghanaian Health Insurance Firm." (2017). AMCIS 2017 Proceedings. 15.
https://aisel.aisnet.org/amcis2017/DataScience/Presentations/15
A Typology of Big Data Capabilities from Resources to Dynamic Capabilities. Evidence from a Ghanaian Health Insurance Firm.
Big data is generating a lot of interest across different industries, with firms seeking to leverage big data to obtain enormous benefits. In the health insurance industry, especially in developing countries, there are efforts to use big data to increase healthcare access and at the same time reduce cost. Despite these efforts, there is a lack of literature on how to develop big data capabilities. Conceptually, the typology of capabilities has been suggested to follow a hierarchical order from resources and finally lead to dynamic capabilities in firms. This research examines the typology of big data capabilities in a health insurance developing country firm, to achieve dynamic capabilities from resources.