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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.

Business intelligence system (BIS) reflect on the foundation of completive advantage approaches, this article enhances previous articles of BIS implementation by analyzing a 7 McKinsey model. Using a Delphi survey method with sixty of managers and experts in the BIS field, the results from twenty pharmaceutical manufacturing industries deploying business intelligence applications are presented. The author surveyed a qualitative methodology to hypothesize a proposed model. The findings demonstrated that 80% of participants believe that both the hard and soft 7 dimensions of a McKinsey model—strategy, style, structure, staff, systems, skills, and shared values—are antecedents for successful BIS implementation. Precisely, shared value dimensions is the highest value affected by BIS implementation and skills dimension is the lowest value.