Challenges in Adopting Artificial Intelligence (AI) in HRM Practices: A study on Bangladesh Perspective
Md Suliman Hossin (),
Mohammad Arije Ulfy (),
Idris Ali () and
Md.Wasiul Karim ()
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Md Suliman Hossin: University Kuala Lumpur
Mohammad Arije Ulfy: International Islamic University Malaysia
Idris Ali: International Islamic University Malaysia
Working Articles, 2021, vol. 1, issue 1, 66-73
Abstract:
Main Objectives. The objective of this study is to assess HRM practices in Bangladesh, as well as this paper, has highlighted the importance, future challenges, and benefits of adopting artificial intelligence. Novelty. In Bangladesh, most of the HR-related research conducted by focusing existing HR practices, this paper, therefore, sought to explain the next step of human resource management practices through the possibility of adopting artificial intelligence. Research Methods. The relevant information was collected from secondary sources, such as newspaper articles, books, and websites. Based on secondary sources, we explain HRM practices in Bangladesh, AI Significance, and challenges in the adaptation of AI. Contributions. This study will assist policymakers to pay attention to the benefits and importance of adopting AI in HRM practices in Bangladesh, besides further research can be conducted on employee perception and readiness of accepting AI. Conclusion. Human resource management practices focused on artificial intelligence have a great potential to enhance employee performance, talent development, learning and development, and employee retention, while also helping to minimize employee turnover. As Bangladesh is progressing and going to be a developing country by 2024, hence this is a high time to adapt AI to boost up HR function in the business organization.
Keywords: Artificial Intelligence (AI); Adaptation; Bangladesh; Challenges; HRM Practices (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:ank:ifjirs:v:1:y:2021:i:1:p:66-73
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