The role of information governance in big data analytics driven innovation

2020 | Information & Management | Citations: 24

Authors: Mikalef, Patrick; Boura, Maria; Lekakos, George; Krogstie, John

Abstract: The age of big data analytics is now here, with companies increasingly investing ... Expand

Abstract: The age of big data analytics is now here, with companies increasingly investing in big data initiatives to foster innovation and outperform competition. Nevertheless, while researchers and practitioners started to examine the shifts that these technologies entail and their overall business value, it is still unclear whether and under what conditions they drive innovation. To address this gap, this study draws on the resource-based view (RBV) of the firm and information governance theory to explore the interplay between a firm’s big data analytics capabilities (BDACs) and their information governance practices in shaping innovation capabilities. We argue that a firm’s BDAC helps enhance two distinct types of innovative capabilities, incremental and radical capabilities, and that information governance positively moderates this relationship. To examine our research model, we analyzed survey data collected from 175 IT and business managers. Results from partial least squares structural equation modelling analysis reveal that BDACs have a positive and significant effect on both incremental and radical innovative capabilities. Our analysis also highlights the important role of information governance, as it posi­ tively moderates the relationship between BDAC’s and a firm’s radical innovative capability, while there is a nonsignificant moderating effect for incremental innovation capabilities. Finally, we examine the effect of en­ vironmental uncertainty conditions in our model and find that information governance and BDACs have am­ plified effects under conditions of high environmental dynamism. Collapse

Topics: data governance innovation management big data environmental uncertainty logistics management

Methods: partial least squares regression survey computational algorithm partial least squares path modeling field study

Theories: resource based view of the firm