Artificial Intelligence in Human Resource Management: Awareness and Perceptions Among HR Professionals in Ghana.

Abstract:

AI Adoption in Ghanaian HR

This study investigated how HR professionals in Ghana perceive and plan to use Artificial Intelligence (AI) in their roles.  Employing a mixed-methods approach, researchers surveyed 200 HR professionals across various industries (banking, telecom, education) and conducted follow-up interviews.

Artificial Intelligence (AI), Human Resources (HR),, Cross-functional Collaboration, AI Adoption, HR Professionals, Ghana, Digital Transformation, HR Technology, Perceptions of AI, Organizational Culture

1. Aboagye, E., & Mensah, K. (2023). AI in human resource management in Ghana: Current trends and future prospects. African Journal of Information Systems, 15(1), 47–60. [Google Scholar] [Crossref]

2. Aguinis, H., & O’Boyle, E. (2020). Best practice recommendations for designing and implementing experimental vignette methodology studies. Organizational Research Methods, 23(4), 1–31. https://doi.org/10.1177/1094428119893458 [Google Scholar] [Crossref]

3. AI.Business. (n.d.). Using AI for better talent acquisition and training. https://ai.business/case-studies/using-ai-for-better-talent-acquisition-and-training [Google Scholar] [Crossref]

4. Akinola, O., & Obasi, C. (2023). Emerging AI innovations in Nigerian human resource management. Journal of African Business and Technology, 18(2), 135–150. [Google Scholar] [Crossref]

5. Asiedu-Appiah, F., & Agyemang, K. (2022). Artificial intelligence adoption in HRM: A Ghanaian perspective. African Journal of Management Studies, 18(4), 220–235. https://doi.org/10.1108/AJMS-12-2020-0474 [Google Scholar] [Crossref]

6. Axios. (2024). Five questions with IBM's Nickle LaMoreaux. https://www.axios.com/local/austin/2024/03/25/five-questions-with-ibms-nickle-lamoreaux [Google Scholar] [Crossref]

7. Barrelfish. (n.d.). Recruitment strategies with AI in action. https://barrelfish.ca/understanding-recruitment-strategies-for-success-with-ai-in-action [Google Scholar] [Crossref]

8. Bersin, J. (2019). HR technology market 2019: Disruption ahead. Deloitte. https://www2.deloitte.com [Google Scholar] [Crossref]

9. Boateng, D. (2022). Digital literacy and AI adoption in Ghanaian organizations. Journal of African Digital Innovation, 8(2), 102–117. [Google Scholar] [Crossref]

10. Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company. [Google Scholar] [Crossref]

11. Business Insider. (2024). Google's TGIF meetings powered by AI. https://www.businessinsider.com/google-ai-dodge-tough-questions-tgif-meetings-2024-8 [Google Scholar] [Crossref]

12. Chartered Institute of Personnel and Development (CIPD). (2020). People analytics: Driving business performance with people data. https://www.cipd.co.uk [Google Scholar] [Crossref]

13. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 [Google Scholar] [Crossref]

14. Deloitte. (2020). 2020 global human capital trends: The social enterprise at work – Paradox as a path forward. Deloitte Insights. https://www2.deloitte.com [Google Scholar] [Crossref]

15. Dwivedi, Y. K., Hughes, D. L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002 [Google Scholar] [Crossref]

16. Eubanks, B. (2019). Artificial intelligence for HR: Use AI to support and develop a successful workforce. Kogan Page. [Google Scholar] [Crossref]

17. Eze, S., Nwosu, T., & Amadi, C. (2022). Challenges of AI adoption in Nigerian SMEs: A focus on HR functions. International Journal of Technology and Innovation, 14(3), 101–115. [Google Scholar] [Crossref]

18. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Vayena, E. (2018). Ethics of artificial intelligence: Challenges and opportunities. AI and Society, 33(2), 111–128. https://doi.org/10.1007/s00146-018-0801-1 [Google Scholar] [Crossref]

19. Forbes. (2018). IBM wants Watson to be your HR guide. https://www.forbes.com/sites/maribellopez/2018/12/02/its-time-to-reinvent-your-human-resources-strategy-and-ibm-wants-watson-to-be-your-guide [Google Scholar] [Crossref]

20. Ghosh, M. (2021). Exploring the role of artificial intelligence in HRM: A strategic outlook. Human Resource Development Review, 20(3), 312–328. https://doi.org/10.1177/15344843211034245 [Google Scholar] [Crossref]

21. IBM. (2019). The rise of AI in HR: Challenges, opportunities, and applications. IBM Smarter Workforce Institute. https://www.ibm.com [Google Scholar] [Crossref]

22. Johnson, J., et al. (2020). AI and data integration in emerging economies. [Google Scholar] [Crossref]

23. Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004 [Google Scholar] [Crossref]

24. Kumar, V., & Singh, R. (2021). AI-driven transformation in HR practices: The Indian context. Journal of Human Resource Management, 9(1), 56–72. [Google Scholar] [Crossref]

25. Margherita, A. (2021). Global HR tech trends and the role of AI in talent management. Deloitte Global Human Capital Trends Report. https://www2.deloitte.com/global/en/insights/human-capital-trends.html [Google Scholar] [Crossref]

26. Moura, L., & Santos, F. (2021). AI and diversity management in Brazilian HR: Trends and barriers. Brazilian Journal of Management, 28(4), 404–419. [Google Scholar] [Crossref]

27. Mwangi, J., & Wanjiku, S. (2022). Leveraging AI for human resource management in Kenya: Mobile solutions and beyond. Journal of African Business Innovation, 9(2), 130–147. [Google Scholar] [Crossref]

28. Otieno, L., & Kamau, P. (2023). Algorithmic bias and AI awareness in Kenyan HR practices. African Journal of Human Capital Development, 14(3), 213–228. [Google Scholar] [Crossref]

29. Owusu, G. M., & Frempong, G. K. (2020). Digital readiness in Ghana’s public sector. [Google Scholar] [Crossref]

30. Psicosmart. (n.d.). Benefits of integrating AI-powered HR software. https://psicosmart.net/blogs/blog-what-are-the-unexpected-benefits-of-integrating-aipowered-hr-software-241098 [Google Scholar] [Crossref]

31. Sharma, P., & Gupta, A. (2022). Overcoming resistance to AI adoption in Indian HR departments. International Journal of Organizational Change Management, 35(5), 643–658. [Google Scholar] [Crossref]

32. Silva, R., Costa, M., & Almeida, T. (2020). AI in HR: Enhancing employee experience in Brazil. Journal of Latin American Business Research, 15(3), 215–229. [Google Scholar] [Crossref]

33. TMI. (n.d.). Understanding IBM’s cutting-edge HR strategy. https://www.tmi.org/blogs/understanding-ibms-cutting-edge-hr-strategy [Google Scholar] [Crossref]

34. Upadhyay, A. K., & Khandelwal, K. (2018). Artificial intelligence in human resource management. [Google Scholar] [Crossref]

35. Unilever. (n.d.). Unilever saved over 50,000 hours in candidate interview time. BestPractice.ai. https://www.bestpractice.ai/ai-case-study-best-practice/unilever [Google Scholar] [Crossref]

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