Abstract : Artificial Intelligence (AI) has become one of the most transformative technologies influencing modern organizational performance. The integration of AI technologies in business operations enables companies to enhance productivity, automate processes, and improve decision-making capabilities. This study examines the relationship between Artificial Intelligence adoption and organizational performance with special reference to Malaysian companies. The research is based on primary data collected from 189 respondents working in ten companies operating in Malaysia. A structured questionnaire was used to collect data from employees and managers involved in technology implementation and organizational decision-making processes. Statistical techniques such as descriptive statistics, correlation analysis, regression analysis, and Structural Equation Modeling (SEM) were applied using SPSS and AMOS software to analyze the data. The findings reveal that AI adoption significantly improves operational efficiency, innovation capability, and decision accuracy. Furthermore, the results indicate that organizations implementing AI-driven systems demonstrate improved organizational performance and strategic flexibility. The study provides empirical evidence that AI technologies contribute positively to business competitiveness in Malaysia. The research also offers practical implications for managers and policymakers regarding the effective adoption of AI technologies in organizations. The findings highlight the importance of technological readiness, managerial support, and investment in digital infrastructure for successful AI implementation.
Keywords : Artificial Intelligence (AI), Organizational Performance, Malaysia, Adoption
Cite : Imron, M. A. (2026). Artificial Intelligence Adoption and Organizational Performance: An Empirical Study with Special Reference to Malaysian Companies (1st ed., pp. 154-166). Noble Science Press. https://noblesciencepress.org/chapter/nspebgtrdbaip2026ch-17
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