The nexus among industry 4.0 technologies, knowledge management activities and manufacturing industry’s performance: insights and implications

Purpose This study aims to investigate the nexus among I4.0 Technologies (I4.0 Ts), knowledge management activities (KMA) and the manufacturing industry’s performance (MIP). Design/methodology/approach We utilized survey data from 268 respondents across various manufacturing industries and authorities in Ethiopia. The study used Partial Least Squares Structural Equation Modeling (PLS-SEM) as the analytical tool to evaluate the constructs and their relationships. Findings The results indicate that I4.0Ts have a positive impact on MIP. Specifically, elements of I4.0T, such as autonomous robotics (AR), additive manufacturing (AM) and the Internet of Things (IoT), show notable correlations with MIP. However, big data analytics (BDA) did not significantly impact MIP statistically. KMA is identified as a significant mediator between I4.0 T and MIP, stressing its role in improving the effectiveness of I4.0T implementation. Originality/value Based on the RBV framework, this research enriches the literature on I4.0 T, KMA and MIP by exploring their effects and connections. Concurrently, it proffers practical suggestions for industry managers, policymakers and stakeholders, facilitating the cultivation of KMA and the strategic utilization of I4.0 T to enhance manufacturing performance.