Conclusions
Based on empirical data, literature and discussion three conclusions can be drawn: first, the archetype business process for big data initiatives provides a framework for effective resource management. The big data business process enables organizations to identify capabilities and roles required to ensure successful outcomes. Effective business processes overcome obstacles that prevent big data initiatives from being repeatable. Second, relationships between big data and dynamic capabilities is important because big data processes need to morph over time as organizations reconfigure or develop new capabilities to achieve results from big data insights. Therefore, big data processes cannot be allowed to ossify. Third, theoretical weaknesses of VRIN in the context of big data require further investigation to establish RBT's relevance to provide deeper insights into big data. The lasting contribution from this paper would be a greater number of big data initiatives successfully implemented, repeatedly, in the same organization.
