ICBI 2024

Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/29008

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Author: search.filters.author.Mohd Rasdi, R.

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    AI Evolution: Assessing Maturity, Addressing Challenges, and Seizing Opportunities
    (Faculty of Commerce and Management Studies University of Kelaniya., 2024-11-01) Umar Baki, N.; Mohd Rasdi, R.
    This article investigates the impact of AI-based automation technologies on workplace maturity levels, emphasizing the challenges and opportunities arising from their integration. Utilizing triangulation approaches, six case studies from various service industries, such as consulting, insurance, e-commerce, healthcare, education, and telecommunications were analyzed, focusing on the phases of experimentation and optimization in AI application. The primary challenges identified include ethical and legal concerns, resource constraints, resistance to AI adoption, and complexities in human-AI relationships. Conversely, the implementation of AI offers benefits such as increased productivity, enhanced customer satisfaction, and improved safety protocols. These findings are particularly relevant to the Sustainable Development Goal (SDG) of decent work, suggesting that AI can significantly contribute to equitable, inclusive, and sustainable economic growth by improving job conditions and workplace quality. The study provides practical insights for policymakers to develop incentives and regulations for Industry 4.0, promoting a holistic approach to AI utilization. Human resource professionals can leverage this research to devise tailored strategies based on their organization's AI maturity level, addressing challenges and seizing opportunities to advance AI implementation efforts. This study highlights the dual impact of AI in the workplace, demonstrating its potential to both disrupt and enhance various organizational practices, and aligns its findings with the global focus on promoting equitable employment opportunities.
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    Pushed To the Brink: A Conceptual Paper on How Overwork Climate and Abusive Supervision Fuel the Intention to Quit Among Employees in Malaysian Banks
    (Faculty of Commerce and Management Studies University of Kelaniya., 2024-11-01) Mohd Fuzi, N.; Mohd Rasdi, R.; Wan Abdullah, W.A.
    This study investigates the predictors of turnover intention among employees in the Malaysian banking sector, focusing on the role of overwork climate and abusive supervision. The banking industry in Malaysia is characterized by high work pressure and competitive demands, making turnover intention a critical concern for organizational performance and human resource management costs. The emphasis on overwork climate and abusive supervision as primary predictors stems from their pronounced influence on stress levels and job dissatisfaction within this high-pressure context. These factors are posited to be more salient in determining employees' decisions to leave, compared to other potential predictors. This study will employ a quantitative research approach, employing a cross-sectional survey design to collect data from a representative sample of banking employees in Malaysia. The data will be analyzed using Structural Equation Modelling (SEM) to assess the direct and indirect effects of overwork climate and abusive supervision on turnover intention. By understanding the relationships between these variables and turnover intention, this study seeks to contribute to the existing body of literature, offering a nuanced understanding of the unique work dynamics present in the Malaysian banking sector. The anticipated findings aim to inform management practices by highlighting the importance of addressing overwork and abusive supervision as key strategies for reducing turnover rates. Ultimately, this research aspires to enhance employee satisfaction and commitment, thereby promoting a more stable and productive workforce.