11th HRM Student Research Symposium 2024

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Subject: search.filters.subject.Artificial Intelligence

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    CHALLENGES IN THE ADOPTION OF ARTIFICIAL INTELLIGENCE FOR EMPLOYEE TRAINING WITHIN ORGANIZATIONS IN COLOMBO, SRI LANKA
    (Department of Human Resource Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Weerasuriya N.S.; Weerakkody, W.A.S.
    The adoption is artificial intelligence (AI) in the training methods in human resource management (HRM) is changing the way in which business organizations operate presenting multiple innovative solutions to develop the workforce. However, even though the adoption of AI in training would generate a multitude of benefits, organizations face many challenges when integrating AI in employee training modules. Through this research the challenges related to the adoption of AI in employee training will be explored within companies based in Colombo, Sri Lanka. This study mainly focused in a qualitative data collection approach where data was gathered through a mixed methods questionnaire which was distributed to five companies which constituted three large scale and two small-scale companies spanning across multiple industries. Further a quantitative approach was also used in order to gather data which was generated using the Linkert scales from the mixed-methods questionnaire. The findings if this study focus upon four critical challenges organizations encounter when adopting AI in training namely, cost constraints, infrastructure limitations, employee resistance, and knowledge gaps. Smaller companies displayed higher significance with the challenges related costs and infrastructure, whilst larger companies reported moderate significance to issued related to infrastructure and employee resistance. Further differences were also observed regarding the significance of these challenges across different industries. Through generating valuable insights of these critical challenges, the study provides logical and practical data for organizations when adopting AI in their employee training systems. Through this study organizations would be able to understand the various challenges related to the adoption of AI in employee training therefore can use the findings in order to ensure a smoother and successful transition towards AI-driven training methods.
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    STUDY OF THE IMPACT OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE: EVIDENCE FROM WORKING EMPLOYEES IN SRI LANKAN MANUFACTURING FIRMS
    (Department of Human Resource Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Rahunath, N.; De Alwis, A.C.
    This study examines the impact of artificial intelligence (AI) on human resource management (HRM) practices and its influence on organizational performance in Sri Lankan manufacturing firms. The study highlights how technological advancements, particularly AI and robotics, are redefining HRM frameworks and reshaping workplace dynamics.A cross-sectional quantitative research design was employed, with data collected from working employees in Sri Lankan manufacturing firms through a structured questionnaire. A random sampling technique was used to ensure representative participation. The collected data were analyzed using statistical methods, including correlation and regression analyses, to evaluate the relationships among AI adoption in HRM, employee performance, and organizational performance.Findings indicate a significant positive impact of AI-driven HRM practices on both employee and organizational performance. AI applications in HRM—such as automated recruitment, workforce analytics, personalized training, and performance monitoring—enhance operational efficiency, employee engagement, and managerial decision-making. The study also confirms that AI contributes to employee satisfaction by streamlining HR processes and improving workplace experiences.The research concludes that AI is a strategic enabler of HRM transformation, offering competitive advantages to manufacturing firms. Organizations must adopt and develop AI-driven HRM strategies to maximize workforce efficiency, optimize talent management, and sustain long-term performance improvements.From a practical perspective, the findings offer insights for business leaders, HR professionals, and policymakers on integrating AI into HRM frameworks to enhance organizational success. However, the study is limited to manufacturing firms in Sri Lanka, restricting its generalizability to other industries and global contexts. Future research could extend the study to diverse sectors and employ longitudinal methodologies to assess the long-term impact of AI-driven HRM on organizational performance.