Linking big data analytics capabilities to organizational learning through knowledge management and data-driven decision-making

Purpose This study focuses on the unsolved problem of the mechanism underlying the effect of big data analytics capabilities (BDAC) on organizational learning (OL) by shedding light on the roles of knowledge management (KM) and data-driven decision-making (DDDM) as mediators. Practitioners and academics have considered the underlying mechanism through which BDAC enhance OL. Design/methodology/approach This study proposes a framework by reviewing existing management literature and collecting data from 343 respondents. The model was tested using structural equation modeling and the bootstrapping method. Findings The results indicate that BDAC enhances OL, KM and DDDM. Furthermore, KM enhanced the DDDM and OL. In addition, DDDM enhances the OL. Finally, we verified that KM and DDDM mediated the link between BDAC and OL. Originality/value This study provides new insights into the mechanism underlying the effect of BDAC on OL by elucidating the mediating roles of DDDM and KM.