11th HRM Student Research Symposium 2024

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    IMPACT OF TRANSFORMATIONAL LEADERSHIP ON EMPLOYEES’ REACTION TO ORGANIZATIONAL CHANGE: THE MEDIATION ROLE OF INNOVATIVE WORK BEHAVIOR AND EFFECTIVE COMMUNICATION ON IT SECTOR EMPLOYEE
    (Department of Human Resource Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Tharuni, B.L.S.N.; Rebecca, E.
    This research explores the impact of transformational leadership on employees' reactions to organizational change, focusing on the mediating roles of innovative work behavior and effective communication in the IT sector. The study aims to investigate how transformational leadership influences employees' attitudes towards change, while considering how innovative work behavior and communication practices further shape their responses. Specifically, the research examines how leadership styles foster employee innovation and enhance communication, which may lead to greater acceptance and adaptation to organizational changes. A thorough literature review provides a conceptual framework linking transformational leadership, innovative work behavior, and effective communication, grounded in theories of leadership and organizational change. The research adopts a quantitative approach, utilizing surveys to gather data from employees in the IT sector. By analyzing the relationships between leadership, communication, and innovation, this study aims to offer valuable insights for organizational leaders and HR practitioners in managing change effectively. The findings will contribute to the understanding of how leadership and communication strategies can be leveraged to improve employee reactions to change, ultimately fostering a more adaptable and innovative organizational environment.
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    AN EMPIRICAL INVESTIGATION OF ARTIFICIAL INTELLIGENCE ADAPTATION ON TALENT ACQUISITION: A FOCUS ON THE IT SECTOR IN SRI LANKA’S WESTERN PROVINCE
    (Department of Human Resource Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) De Silva, J.H.R.K.K.; Janadari, M.P.N.
    This study examines the influence of AI adaptation on talent acquisition processes in the IT sector of Sri Lanka, with a focus on organizations like Dialog and Virtusa. While AI is swiftly redefining talent acquisition landscapes worldwide, this research addresses contextual and empirical gaps in understanding the consequences of AI-driven tools on efficiency, candidate engagement, and bias reduction. Informed by the theoretical lenses of the Technology Acceptance Model and Resource-Based View, the study adopts a quantitative research design, utilizing a structured survey to gather insights from HR professionals in the IT sector. The methodology involves a survey-based approach, analyzing AI’s role in optimizing recruitment processes. Data were collected from HR professionals, focusing on AI-driven automation, predictive analytics, and decision-making enhancements in hiring. The study examines how AI streamlines candidate sourcing, shortlisting, and selection while mitigating biases and improving engagement. The analysis highlights that AI significantly improves recruitment efficiency by automating repetitive tasks, enhancing decision accuracy, and enabling personalized candidate interactions. However, challenges such as algorithmic bias, lack of technical expertise among HR professionals, and ethical concerns regarding fairness in AI-driven recruitment were identified. The study emphasizes the need for transparent AI implementation and regulatory oversight to ensure fairness and inclusivity in hiring processes. The conclusion affirms that AI offers transformative potential in talent acquisition but requires a balanced approach that integrates human oversight with automation. Ethical considerations, such as algorithmic bias and data privacy, must be addressed for responsible AI adoption. Organizations should invest in AI literacy, ethical guidelines, and continuous monitoring to maximize AI’s benefits. Future research should explore AI’s impact on workforce diversity, long-term recruitment trends, and cross-industry applications.
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    IMPACT OF ARTIFICIAL INTELLIGENCE USAGE ON THE EFFICIENCY OF HUMAN RESOURCE MANAGEMENT PRACTICES IN THE IT SECTOR IN WESTERN PROVINCE
    (Department of Human Resource Management, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Jayasinghe, S.; Weerakkody, W.A.S.
    Human resource management (HRM) has received a lot of attention worldwide. Artificial intelligence (AI) integration has transformed traditional human resource practices into more efficient and strategic processes. In Sri Lanka's IT sector, particularly in the Western Province, the adoption of AI-driven solutions has become increasingly important in improving the efficiency of HRM practices. This research investigates the impact of AI usage on the efficiency of HRM practices, focusing on three key areas: AI for recruitment, AI for performance management, and AI for training and development. The research problem addressed in this study is ‘what is the impact of AI usage on the efficiency of HRM practices in the IT sector in the Western Province?’. The research aims to examine the impact of AI-driven recruitment on HRM efficiency, assess how AI-based performance management contributes to better HR outcomes, and assess the role of AI in improving training and development efficiency. A structured questionnaire was distributed to 100 HR professionals in the IT sector in Western province, and 80 responses were collected. The constructs were measured with validated instruments, ensuring reliability and accuracy. SPSS statistical software was used to analyse the collected data in order to achieve the research objectives. The findings show that AI applications for recruitment, performance management, and training and development have a highly significant impact on the efficiency of human resource management practices in the IT sector. These findings highlight AI's potential to revolutionize HR operations, allowing organizations to achieve better results and maintain a competitive advantage in an evolving business.