DRC 2024

Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/29875

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    ASSESS THE ROLE OF ARTIFICIAL INTELLIGENCE IN SUPPORTING AND ENHANCING DECISION-MAKING PROCESSES WITHIN ORGANIZATIONS: A SYSTEMATIC LITERATURE REVIEW
    (The Library, University of Kelaniya, Sri Lanka., 2024) Perera, K. A. V. U
    This study aims to assess the role of Artificial Intelligence (AI) in supporting and enhancing decision-making processes within organizations. The research objectives include understanding how AI influences decision-making, identifying AI tools and applications used in this context, and exploring the challenges associated with AI-driven decision-making. A systematic literature review was employed while reviewing articles from Google Scholar database. Key findings indicate that AI significantly enhances decision-making by providing data-driven insights, automating routine tasks, and enabling predictive analytics. AI tools such as machine learning algorithms, natural language processing, and expert systems were identified as critical enablers of improved decision-making processes. However, the study also highlights several challenges, including data quality issues, algorithmic bias, lack of transparency, ethical considerations, and the need for robust integration with existing organizational processes. The conclusion emphasizes that while AI holds considerable potential for transforming decision-making in organizations, addressing these challenges is crucial for its effective implementation. Recommendations include establishing robust data governance frameworks, investing in explainable AI techniques, implementing ethical guidelines, and fostering a culture of continuous learning and innovation. By navigating these challenges, organizations can fully leverage AI to make more informed, ethical, and effective decisions. The findings contribute to the existing body of knowledge on AI in organizational decision-making and provide practical insights for practitioners aiming to integrate AI into their decision-making processes.