Title: Towards the Design of XAI for Integrating KMS with IR4.0: Organizational Challenges in Technology Integration and Business Value Enhancement.
Authors: Abubakar Balarabe and Ahmed Abubakar Aliyu
Volume: 9
Issue: 3
Pages: 31-38
Publication Date: 2025/03/28
Abstract:
This study explores the integration of Knowledge Management Systems (KMS) with Industrial Revolution 4.0 (IR4.0) technologies by incorporating an Explainable Artificial Intelligence (XAI) model to address the critical challenges of transparency and trust in AI-driven decision-making. The research aims to enhance the interpretability of AI models within organizational knowledge management frameworks, facilitating better decision-making processes and improved business value. A structured research methodology involving literature review, survey data collection, framework enhancement, and statistical evaluation was employed. A field survey was conducted among IT professionals, managers, and users working with KMS and IR4.0 technologies to assess the applicability of XAI integration. The data was analyzed using descriptive statistics, Cronbach's Alpha reliability test, and regression analysis to evaluate the impact of XAI on the integrated framework. The findings indicate that integrating XAI into the KMS and IR 4.0 framework has significantly improved the transparency of the framework, enhances user trust, and fosters efficient knowledge-sharing. Regression analysis results demonstrate a strong positive correlation between the two models. Additionally, the work expressed readiness for organizations integrate XAI into their KMS by highlighting its practical applicability.