Author:
Shaqrah Amin,Alzighaibi Ahmad
Abstract
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.
Subject
Management of Technology and Innovation,Library and Information Sciences,Computer Networks and Communications,Computer Science Applications,Information Systems
Reference82 articles.
1. Factors influencing to the implementation success of big data analytics: a systematic literature review,2017
2. Perspective: materials informatics and big data: realization of the ‘fourth paradigm’ of science in materials science;Apl Materials,2016
3. Exploring big data governance frameworks;Procedia Computer Science,2018
4. Knowledge sharing processes as critical enablers for process innovation;International Journal of Culture and History (Ejournal),2015
5. Effect of knowledge sharing and supply chain management on organizational performance;International Journal of Knowledge-Based Organizations (IJKBO), IGI Global,2015
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