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Artificial Intelligence (AI) as a Paradigm Shift in Human Resource Cycle Processes for Performance in Nigerian Universities

Oseagwina Sunday Ogboe, Adeshola Sowande

Abstract

The integration of Artificial Intelligence (AI) into human resource cycle Processes represents a transformative shift in the management practices of Nigerian universities. This study investigates how AI can address longstanding challenges in HR processes, such as recruitment, staff development, performance appraisal, and remuneration. Traditional HR methods often suffer from inefficiencies, biases, and inconsistencies, leading to diminished Performance and effectiveness. AI technologies—encompassing machine learning, predictive analytics, and automated systems— promise to enhance these processes by automating repetitive tasks, improving decision-making accuracy, and fostering a more equitable approach to staff management. The research highlights that AI can significantly streamline recruitment by objectively evaluating candidates and reducing biases, personalize staff development through targeted training programmes, and enhance performance appraisals with real-time feedback and data-driven insights. Furthermore, AI can refine remuneration strategies by aligning compensation more closely with individual performance and market trends. The study underscores the potential benefits of AI, including increased staff Performance, improved institutional performance, and better alignment with educational objectives. However, it also notes that successful AI implementation requires careful adaptation to the specific needs of each institution. The study concludes with recommendations for Nigerian universities to invest in tailored AI solutions, continuously evaluate their impact, and integrate AI thoughtfully into their HR practices to fully realize its potential.

Keywords

Artificial Intelligence Human Resource Management Nigerian Universities Staff

References

Adeniji, A. A., & Osibanjo, A. O. (2022). Human resource management strategies and employee performance: A study of selected universities in Nigeria. Journal of Management and Social Sciences, 14(2), 55-68. Adeoye, T. (2022). Artificial intelligence and personalized learning in higher education. Journal of Educational Technology, 15(2), 45-60. Adetayo, A. (2021). Optimizing resource allocation in Nigerian universities: The role of ai in staff development. Nigerian Journal of Educational Administration, 10(1), 78-89. Aguinis, H. (2019). Performance management for dummies. Wiley Press. Akinyele, S. T., & Akinbode, G. A. (2021). Artificial intelligence in human resource management: implications for recruitment and selection in Nigerian universities. African Journal of Business Management, 15(2), 75-89. Babalola, S. O., & Oladipo, O. M. (2022). Enhancing HRM Practices with Artificial Intelligence: Implications for Performance in Higher Education. Journal of Human Resource Management Studies, 15(3), 132-147. Babalola, S. O., Adeyemo, K. S., & Onifade, A. O. (2020). The role of artificial intelligence in enhancing recruitment processes in higher education institutions in Nigeria. Journal of Educational Research and Review, 8(3), 134-149. Baryshnikova, N., Baryshnikova, N., & Baryshnikova, N. (2022). Predictive analytics in human resources: Forecasting future staffing needs. Journal of HR Analytics, 15(3), 234-245. Bhardwaj, M., Singh, P., & Sharma, A. (2020). AI-driven remuneration strategies: Enhancing fairness and efficiency in the workplace. Journal of Human Resource Management, 12(3), 45-59. Brynjolfsson, E., & McAfee, A. (2017). The business of artificial intelligence: What it can—and cannot—do for your organization. Harvard Business Review. Cascio, W. F., & Montealegre, R. (2016). How technology is changing work and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 3, 349-375. Chen, C. C., Li, Y., & Yu, X. (2020). AI and recruitment: Leveraging machine learning to enhance the hiring process. Human Resource Management Review, 30(4), 100-110. Chukwuma, C. O., Okeke, I. M., & Eze, C. A. (2021). The Impact of AI on Recruitment and Selection Processes in Higher Education Institutions. International Journal of Educational Technology, 10(2), 115-129. Davenport, T. H., Guenole, N., & Malhotra, A. (2020). The impact of AI on workforce development. Strategic HR Review, 19(2), 45-50. Deloitte. (2021). The role of AI in revolutionising HR. Deloitte Insights. Retrieved from https://www2.deloitte.com/insights/us/en.html Ezeani, E. O., & Onuoha, J. (2023). Digital transformation in Nigerian universities: The role of artificial intelligence in recruitment and staff Performance. International Journal of Educational Management and Policy Studies, 12(1), 22-36. Fountaine, T., McCarthy, B., & Saleh, T. (2019). Building the AI-powered organization. Harvard Business Review, 97(4), 62-73. Gohari, P., Ahmadloo, A., Boroujeni, M. B., & Hosseinipour, S. J. (2013). The relationship between rewards and employee performance. Interdisciplinary Journal of Contemporary Research in Business, 5(3), 543-570. Gupta, M., Jain, A., & Gupta, S. (2021). AI-driven employee engagement and its impact on Performance. International Journal of Human Resource Management, 32(6), 110-126. Ibrahim, M. (2022). Enhancing collaboration and mentorship through AI-powered platforms in universities. African Journal of Educational Management, 14(3), 120-135. Ibrahim, T. A., Adamu, M. R., & Aliyu, S. A. (2021). Artificial Intelligence and Employee Management: A Case Study of Nigerian Universities. Journal of Educational Administration and Policy, 14(4), 198-212. Jiang, H., Koo, S., & Wang, Y. (2019). Enhancing performance management through AI: A review and future directions. Journal of Management, 45(2), 450-467. Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37-50. Khan, M., Riaz, A., & Ali, S. (2021). Bias reduction in recruitment using AI: A comprehensive review. Journal of Business Ethics, 168(3), 541-558. Kiron, D. (2021). Data-driven remuneration: AI's impact on employee motivation and Performance. MIT Sloan Management Review, 62(2), 23-29. Obikeze, C. O., & Onwe, S. A. (2022). Leveraging AI for recruitment and selection in higher education: A case study of Nigerian universities. Journal of African Educational Studies, 11(1), 89-104. Obisi, C. (2020). Staff performance appraisal in Nigerian universities: Issues and challenges. African Journal of Business Management, 14(3), 121-130. Ogunleye, A. T., & Adeyemi, J. A. (2019). Data-driven approaches in recruitment: The impact of AI on human resource management in Nigerian universities. Journal of Human Resource and Leadership Studies, 7(4), 200-214. Ogunleye, A. T., & Olanrewaju, S. O. (2022). AI-Driven HR Solutions: Transforming Human Resource Processes in Nigerian Universities. Journal of Higher Education Management, 13(2), 77-89. Ojo, O. M., & Akinbode, G. A. (2020). Leveraging Artificial Intelligence for Effective HRM in Academic Institutions. Journal of Educational Leadership and Policy, 11(1), 45-59. Okafor, C., & Ojo, S. (2023). Continuous assessment and feedback mechanisms in AI-driven staff development programmes. International Journal of Educational Research, 19(1), 62-75. Onuoha, E., Chikere, R., & Eze, N. (2022). Challenges and opportunities in AI adoption in Nigerian universities. Nigerian Journal of Educational Technology, 11(1), 85-98. PwC. (2022). AI and the future of human resources: The next frontier in Performance. PwC Report. Retrieved from https://www.pwc.com/gx/en.html Schaufeli, W. B., & Bakker, A. B. (2019). Work engagement: An overview of the research. Work and Motivation, 8(1), 29-50. Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15- 42.