Authors :
Pooja Hukkeri; Dr. Sanjivkumar Pol
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/27fp3rkp
DOI :
https://doi.org/10.38124/ijisrt/25jun1154
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This paper provides a systematic and conceptual review of the nascent influence of AI on the transformation of
recruitment and onboarding from HRM angle. Drawing on academy research, industry expert opinions and theoretical
models, this study investigates how AI-powered technologies (e.g. predictive analytics, natural language processing, and
intelligent automation) enhance recruitment efficiency by reducing time-to-hire, enhancing candidate match, and decreasing
cost-per-hire. The paper also looks at how AI impacts on the efficacy of onboarding, highlighting how it can further
personalise learning, streamline processes and increase early staff engagement. The research underscores critical concerns
of algorithmic bias, privacy, loss of human touch and stakeholder trust. The report points to the need for hybrids that move
AI functions around in a way that responsible governance is applied and there’s an empathetic human in the loop. Lastly,
the research urges the ethical and inclusive integration of AI to HR practices to ensure a transparent, fair and safe
recruitment and retention in a new world of work.
Keywords :
Artificial Intelligence in Recruitment Efficiency, Onboarding Effectiveness, Ethical AI Governance and Human-Centric Automation .
References :
- Aithal, P. S., & Aithal, S. (2016). Impact of On-the-job Training on Employee Performance: A Case Study of Private Sector IT Companies in India. International Journal of Management Sciences and Business Research, 5(5), 23–31.
- Allen, D. G., Mahto, R. V., & Otondo, R. F. (2007). Web-based recruitment: Effects of information, organizational brand, and attitudes toward a website on applicant attraction. Journal of Applied Psychology, 92(6), 1696–1708.
- Barber, A. E. (1998). Recruiting employees: Individual and organizational perspectives. SAGE Publications.
- Bauer, T. N. (2010). Onboarding new employees: Maximizing success. SHRM Foundation.
- Bondarouk, T., & Olivas-Luján, M. R. (2013). Social Media in Human Resources Management. Advanced Series in Management, 12, 1–15.
- Breaugh, J. A. (2008). Employee recruitment: Current knowledge and important areas for future research. Human Resource Management Review, 18(3), 103–118.
- Chapman, D. S., & Webster, J. (2003). The use of technologies in the recruiting, screening, and selection processes for job candidates. International Journal of Selection and Assessment, 11(2-3), 113–120.
- Dessler, G. (2017). Human Resource Management (15th ed.). Pearson Education.
- Kluemper, D. H., Rosen, P. A., & Mossholder, K. W. (2012). Social networking websites, personality ratings, and the organizational context: More than meets the eye? Journal of Applied Social Psychology, 42(5), 1143–1172.
- Langer, A. M. (2017). Information Technology and Organizational Learning: Managing Behavioral Change through Technology and Education. CRC Press.
- Melanthiou, Y., Pavlou, F., & Constantinou, E. (2015). The use of social network sites as an e-recruitment tool. Journal of Transnational Management, 20(1), 31–49.
- Nikolaou, I. (2014). Social networking web sites in job search and employee recruitment. International Journal of Selection and Assessment, 22(2), 179–189.
- Ployhart, R. E. (2006). Staffing in the 21st century: New challenges and strategic opportunities. Journal of Management, 32(6), 868–897.
- Aithal, P. S., & Aithal, S. (2016). Impact of On-the-job Training on Employee Performance: A Case Study of Private Sector IT Companies in India. International Journal of Management Sciences and Business Research, 5(5), 23–31.
- Allen, D. G., Mahto, R. V., & Otondo, R. F. (2007). Web-based recruitment: Effects of information, organizational brand, and attitudes toward a website on applicant attraction. Journal of Applied Psychology, 92(6), 1696–1708.
- Barber, A. E. (1998). Recruiting employees: Individual and organizational perspectives. SAGE Publications.
- Bondarouk, T., & Olivas-Luján, M. R. (2013). Social Media in Human Resources Management. Advanced Series in Management, 12, 1–15.
- Breaugh, J. A. (2008). Employee recruitment: Current knowledge and important areas for future research. Human Resource Management Review, 18(3), 103–118.
- Langer, A. M. (2017). Information Technology and Organizational Learning: Managing Behavioral Change through Technology and Education. CRC Press.
- Melanthiou, Y., Pavlou, F., & Constantinou, E. (2015). The use of social network sites as an e-recruitment tool. Journal of Transnational Management, 20(1), 31–49.
- Newell, S. (2005). Recruitment and selection. In Human resource management: A critical text (pp. 115–140). Cengage Learning EMEA.
- Nikolaou, I. (2014). Social networking web sites in job search and employee recruitment. International Journal of Selection and Assessment, 22(2), 179–189.
- Ployhart, R. E. (2006). Staffing in the 21st century: New challenges and strategic opportunities. Journal of Management, 32(6), 868–897.
- Raghunath, G., & Parthiban, S. (2021). Digital HRM practices in Indian IT sector: A perspective of employee satisfaction. Journal of Contemporary HRM, 5(2), 89–104.
- Sinha, V., & Thaly, P. (2013). A review on changing trend of recruitment practice to enhance the quality of hiring in global organizations. Management, 18(2), 141–156.
- Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: Implications for recruitment. Strategic HR Review, 17(5), 255–258.
- Raghunath, G., & Parthiban, S. (2021). Digital HRM practices in Indian IT sector: A perspective of employee satisfaction. Journal of Contemporary HRM, 5(2), 89–104.
- Sinha, V., & Thaly, P. (2013). A review on changing trend of recruitment practice to enhance the quality of hiring in global organizations. Management, 18(2), 141–156.
- Sivertzen, A. M., Nilsen, E. R., & Olafsen, A. H. (2013). Employer branding: Employer attractiveness and the use of social media. Journal of Product & Brand Management, 22(7), 473–483.
- Subramanian, K. R., & Velmurugan, A. (2020). HR Analytics in Recruitment and Selection Process in IT Sector. International Journal of Psychosocial Rehabilitation, 24(5), 7652–7660.
- Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: Implications for recruitment. Strategic HR Review, 17(5), 255–258.
This paper provides a systematic and conceptual review of the nascent influence of AI on the transformation of
recruitment and onboarding from HRM angle. Drawing on academy research, industry expert opinions and theoretical
models, this study investigates how AI-powered technologies (e.g. predictive analytics, natural language processing, and
intelligent automation) enhance recruitment efficiency by reducing time-to-hire, enhancing candidate match, and decreasing
cost-per-hire. The paper also looks at how AI impacts on the efficacy of onboarding, highlighting how it can further
personalise learning, streamline processes and increase early staff engagement. The research underscores critical concerns
of algorithmic bias, privacy, loss of human touch and stakeholder trust. The report points to the need for hybrids that move
AI functions around in a way that responsible governance is applied and there’s an empathetic human in the loop. Lastly,
the research urges the ethical and inclusive integration of AI to HR practices to ensure a transparent, fair and safe
recruitment and retention in a new world of work.
Keywords :
Artificial Intelligence in Recruitment Efficiency, Onboarding Effectiveness, Ethical AI Governance and Human-Centric Automation .