Linking knowledge management capabilities and the mediating role of the big data capabilities for enterprise value-adding processes

Purpose The purpose of this study is to investigate the knowledge management capabilities (KMCAP) in enterprise systems value-adding processes (ENTVA) through the big data capabilities (BDCAP) spectrum. Design/methodology/approach The proposed framework model is quantitatively tested using the Smart PLS method. An online questionnaire is developed and distributed to 120 technicians and knowledge workers in the royal commission for Yanbu industry (RCYI). Findings The findings of this study conclude that KMCAP has a significant direct effect on ENTVA and BDCAP. Also, this study concludes with interesting findings on the KMCAP domains. Research limitations/implications The study findings propose a wide-ranging awareness of knowledge management processes and BDCAP in the industrial enterprise systems environment. Future studies should consider other variables and different sectors and contexts. Practical implications This study includes implications for the full mediation effect of BDCAP between KMCAP and ENTVA. Originality/value This study demonstrates the relationship between three vital processes of KMCAP knowledge management acquisition, knowledge management sharing and knowledge management emission and ENTVA mediates by BDCAP in the context of the RCYI in Saudi Arabia.

Automated summary

This study investigates the role of knowledge management capabilities in enterprise systems value-adding processes, with a focus on the mediating effect of big data capabilities. The proposed framework model is quantitatively tested using the Smart PLS method, and findings based on data collected from the Royal Commission for Yanbu Industry in Saudi Arabia are presented.