REVOLUTIONIZING RECRUITMENT: THE ROLE OF ARTIFICIAL INTELLIGENCE IN TALENT ACQUISITION
DOI:
https://doi.org/10.29121/shodhkosh.v5.i1.2024.2141Keywords:
Artificial Intelligence, Talent Acquisition, Recruitment, TechnologyAbstract [English]
The rapid advancements in Artificial Intelligence (AI) are transforming various sectors, and talent acquisition is no exception. This research paper exploring how AI-driven tools are reshaping the way organizations attract, evaluate, and hire talent. With the global competition for top talent intensifying, the need for efficient, data-driven hiring strategies is critical. AI technologies, including machine learning, natural language processing, and predictive analytics, have become pivotal in streamlining tasks such as resume screening, candidate matching, and interview scheduling, significantly reducing time-to-hire and improving candidate experiences. This paper conducts a thorough analysis of AI's integration into talent acquisition, AI’s benefits, challenges, and ethical considerations. Key findings show that AI reduces hiring time by up to 50%, enhances candidate engagement through automation, and allows for more informed hiring decisions. Despite its potential, organizations must carefully manage the ethical challenges AI poses to ensure fair and transparent recruitment practices. In conclusion, AI has the potential to revolutionize talent acquisition, but its success depends on thoughtful implementation and continuous evaluation to mitigate risks and maximize benefits.
References
Sharma, P., & Khan, W. A. (2022). Revolutionizing Human Resources Management with Big Data: From Talent Acquisition to Workforce Optimization. International Journal of Business Intelligence and Big Data Analytics, 5(1), 35-45.
Rajesh, S., Kandaswamy, M. U., & Rakesh, M. A. (2018). The impact of Artificial Intelligence in Talent Acquisition Lifecycle of organizations: A global perspective. International Journal of Engineering Development and Research, 6(2), 709-717.
Kadirov, A., Shakirova, Y., Ismoilova, G., & Makhmudova, N. (2024, April). AI in Human Resource Management: Reimagining Talent Acquisition, Development, and Retention. In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS) (Vol. 1, pp. 1-8). IEEE. DOI: https://doi.org/10.1109/ICKECS61492.2024.10617231
Rayyan, M., Sharifah, N., & Kuswati, R. (2024). Revolutionizing Talent Acquisition in Indonesia's E-Commerce Industry: The Transformative Impact of AI and Machine Learning. Journal of Humanities and Social Sciences Studies, 6(4), 01-12.
Rani, M. J., Vishnu Priya, L. V., & Prasad, C. V. K. (2024). AI in HR: Revolutionizing Recruitment, Retention, And Employee Engagement. Journal of Informatics Education and Research, 4(3).
Singh, A. N. U. K. R. I. T. I., & Sahoo, D. M. K. (2023). Revolutionizing recruitment: harnessing the power of technology. IRE J, 6, 1343-1355.
Madhavi, T., & Kaveri, A. (2024, June). The Impact of Artificial Intelligence in Recruitment and Selection Processes in IT Companies. In 2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (pp. 1-5). IEEE. DOI: https://doi.org/10.1109/ECAI61503.2024.10607464
Gaur, V., Kapoor, A., & Kulshrestha, C. (2024). Revolutionizing HR Functions: How Artificial Intelligence Transforms Recruitment and Staffing for Optimal Efficiency. Journal of Informatics Education and Research, 4(1).
Basava, S. G., Markandey, P. P., & Devaraj, J. A. REVOLUTIONIZING RECRUITMENT BY EQUALIZING THE QUOTIENTS: MACHINE EQ AND HUMAN IQ.
Sharma, P., & Khan, W. A. (2022). Revolutionizing Human Resources Management with Big Data: From Talent Acquisition to Workforce Optimization. International Journal of Business Intelligence and Big Data Analytics, 5(1), 35-45.
Mahabub Basha Shaik, "Investor Perception on Mutual Fund with Special Reference to Ananthapuramu, Andhra Pradesh", International Journal of Science and Research (IJSR), Volume 4 Issue 1, January 2015, pp. 1768-1772, https://www.ijsr.net/getabstract.php?paperid=SUB15756
Rayyan, M., Sharifah, N., & Kuswati, R. (2024). Revolutionizing Talent Acquisition in Indonesia's E-Commerce Industry: The Transformative Impact of AI and Machine Learning. Journal of Humanities and Social Sciences Studies, 6(4), 01-12. DOI: https://doi.org/10.32996/jhsss.2024.6.4.1
Sjahruddin, H., Boyas, J. R., & Prayudi, D. (2024). Tech Revolution in HR: Leveraging AI for Smarter Talent Acquisition. Journal of Economic, Bussines and Accounting (COSTING), 7(3), 6424-6429. DOI: https://doi.org/10.31539/costing.v7i3.9798
Nayak, A., Patnaik, A., Satpathy, I., Khang, A., & Patnaik, B. C. M. The Power of Artificial Intelligence in Talent Recruitment Revolution: Creating a Smarter Workforce. In AI-Oriented Competency Framework for Talent Management in the Digital Economy (pp. 54-75). CRC Press. DOI: https://doi.org/10.1201/9781003440901-4
Reena, L., & Anand, B. D. (2020). Artificial intelligence a revolution for HR in talent management in IT sector. International Journal of Innovative Technology and Exploring Engineering, 9(4), 163-171. DOI: https://doi.org/10.35940/ijitee.D1030.0394S20
Khan, S., Faisal, S., & Thomas, G. (2024). Exploring the nexus of artificial intelligence in talent acquisition: Unravelling cost-benefit dynamics, seizing opportunities, and mitigating risks. Problems and Perspectives in Management, 22(1), 462. DOI: https://doi.org/10.21511/ppm.22(1).2024.37
Tariq, M. U. (2024). AI and the Future of Talent Management: Transforming Recruitment and Retention With Machine Learning. In Global Practices on Effective Talent Acquisition and Retention (pp. 1-16). IGI Global. DOI: https://doi.org/10.4018/979-8-3693-1938-3.ch001
Khan, M. R. (2024). Application of artificial intelligence for talent management: Challenges and opportunities. Intelligent Human Systems Integration (IHSI 2024): Integrating People and Intelligent Systems, 119(119).
Basha, S. M., & Ramaratnam, M. S. (2017). Construction of an Optimal Portfolio Using Sharpe's Single Index Model: A Study on Nifty Midcap 150 Scrips. Indian Journal of Research in Capital Markets, 4(4), 25-41. DOI: https://doi.org/10.17010/ijrcm/2017/v4/i4/120919
Krishnamoorthy, D. N., & Mahabub Basha, S. (2022). An empirical study on construction portfolio with reference to BSE. Int J Finance Manage Econ, 5(1), 110-114. DOI: https://doi.org/10.33545/26179210.2022.v5.i1.130
Mohammed, B. Z., Kumar, P. M., Thilaga, S., & Basha, M. (2022). An Empirical Study On Customer Experience And Customer Engagement Towards Electric Bikes With Reference To Bangalore City. Journal of Positive School Psychology, 4591-4597.
Ahmad, A. Y. A. B., Kumari, S. S., MahabubBasha, S., Guha, S. K., Gehlot, A., & Pant, B. (2023, January). Blockchain Implementation in Financial Sector and Cyber Security System. In 2023 International Conference on Artificial Intelligence and Smart Communication (AISC) (pp. 586-590). IEEE. DOI: https://doi.org/10.1109/AISC56616.2023.10085045
Krishna, S. H., Vijayanand, N., Suneetha, A., Basha, S. M., Sekhar, S. C., & Saranya, A. (2022, December). Artificial Intelligence Application for Effective Customer Relationship Management. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 2019-2023). IEEE. DOI: https://doi.org/10.1109/IC3I56241.2022.10073038
Janani, S., Sivarathinabala, M., Anand, R., Ahamad, S., Usmani, M. A., & Basha, S. M. (2023, February). Machine Learning Analysis on Predicting Credit Card Forgery. In International Conference On Innovative Computing And Communication (pp. 137-148). Singapore: Springer Nature Singapore. DOI: https://doi.org/10.1007/978-981-99-3010-4_12
Kalyan, N. B., Ahmad, K., Rahi, F., Shelke, C., & Basha, S. M. (2023, September). Application of Internet of Things and Machine learning in improving supply chain financial risk management System. In 2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA) (pp. 211-216). IEEE.
Sheshadri, T., Shelly, R., Sharma, K., Sharma, T., & Basha, M. (2024). An Empirical Study on Integration of Artificial Intelligence and Marketing Management to Transform Consumer Engagement in Selected PSU Banks (PNB and Canara Banks). NATURALISTA CAMPANO, 28(1), 463-471.
Joe, M. P. (2024). Enhancing Employability by Design: Optimizing Retention and Achievement in Indian Higher Education Institution. NATURALISTA CAMPANO, 28(1), 472-481.
Dawra, A., Ramachandran, K. K., Mohanty, D., Gowrabhathini, J., Goswami, B., Ross, D. S., & Mahabub Basha, S. (2024). 12Enhancing Business Development, Ethics, and Governance with the Adoption of Distributed Systems. Meta Heuristic Algorithms for Advanced Distributed Systems, 193-209. DOI: https://doi.org/10.1002/9781394188093.ch12
Singh, A., Krishna, S. H., Tadamarla, A., Gupta, S., Mane, A., & Basha, M. (2023, December). Design and Implementation of Blockchain Based Technology for Supply Chain Quality Management: Challenges and Opportunities. In 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM) (pp. 01-06). IEEE. DOI: https://doi.org/10.1109/ICCAKM58659.2023.10449517
Almashaqbeh, H. A., Ramachandran, K. K., Guha, S. K., Basha, M., & Nomani, M. Z. M. (2024). The Advancement of Using Internet of Things in Blockchain Applications for Creating Sustainable Environment in the Real Word Scenario. Computer Science Engineering and Emerging Technologies: Proceedings of ICCS 2022, 278. DOI: https://doi.org/10.1201/9781003405580-44
Kotti, J., Ganesh, C. N., Naveenan, R. V., Gorde, S. G., Basha, M., Pramanik, S., & Gupta, A. (2024). Utilizing Big Data Technology for Online Financial Risk Management. In Artificial Intelligence Approaches to Sustainable Accounting (pp. 135-148). IGI Global. DOI: https://doi.org/10.4018/979-8-3693-0847-9.ch008
Shaik, M. (2023). Impact of artificial intelligence on marketing. East Asian Journal of Multidisciplinary Research, 2(3), 993-1004. DOI: https://doi.org/10.55927/eajmr.v2i3.3112
Reddy, K., SN, M. L., Thilaga, S., & Basha, M. M. (2023). Construction Of An Optimal Portfolio Using The Single Index Model: An Empirical Study Of Pre And Post Covid 19. Journal of Pharmaceutical Negative Results, 406-417.
Basha, M., Reddy, K., Mubeen, S., Raju, K. H. H., & Jalaja, V. (2023). Does the Performance of Banking Sector Promote Economic Growth? A Time Series Analysis. International Journal of Professional Business Review: Int. J. Prof. Bus. Rev., 8(6), 7. DOI: https://doi.org/10.26668/businessreview/2023.v8i6.2128
Reddy, K. S., Kethan, M., Basha, S. M., Singh, A., Kumar, P., & Ashalatha, D. (2024, April). Ethical and Legal Implications of AI on Business and Employment: Privacy, Bias, and Accountability. In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS) (Vol. 1, pp. 1-6). IEEE. DOI: https://doi.org/10.1109/ICKECS61492.2024.10616875
Rana, S., Sheshadri, T., Malhotra, N., & Basha, S. M. (2024). Creating Digital Learning Environments: Tools and Technologies for Success. In Transdisciplinary Teaching and Technological Integration for Improved Learning: Case Studies and Practical Approaches (pp. 1-21). IGI Global. DOI: https://doi.org/10.4018/979-8-3693-8217-2.ch001
Mahabub, B. S., Haralayya, B., Sisodia, D. R., Tiwari, M., Raghuwanshi, S., Venkatesan, K. G. S., & Bhanot, A. An Empirical Analysis of Machine Learning and Strategic Management of Economic and Financial Security and its Impact on Business Enterprises. In Recent Advances in Management and Engineering (pp. 26-32). CRC Press. DOI: https://doi.org/10.1201/9781003532026-5
Vemula, R., Mahabub, B. S., Jalaja, V., Nagaraj, K. V., Karumuri, V., & Ketha, M. (2024). Analysis of Social Media Marketing Impact on Consumer Behaviour. In Recent Advances in Management and Engineering (pp. 250-255). CRC Press. DOI: https://doi.org/10.1201/9781003532026-44
Mahabub Basha Shaik, "Investor Perception on Mutual Fund with Special Reference to Ananthapuramu, Andhra Pradesh", International Journal of Science and Research (IJSR), Volume 4 Issue 1, January 2015, pp. 1768-1772, https://www.ijsr.net/getabstract.php?paperid=SUB15756
Policepatil, S., Sharma, J., Kumar, B., Singh, D., Pramanik, S., Gupta, A., & Mahabub, B. S. (2025). Financial Sector Hyper-Automation: Transforming Banking and Investing Procedures. In M. Justin, R. Jalagat, K. Chandar, P. Aquino, & K. Sayari (Eds.), Examining Global Regulations During the Rise of Fintech (pp. 299-318). IGI Global. https://doi.org/10.4018/979-8-3693-3803-2.ch012. DOI: https://doi.org/10.4018/979-8-3693-3803-2.ch012
EMERGING BUSINESS PARADIGMS TRANSITION FROM INDUSTRY 4.0 TO INDUSTRY 5.0 IN INDIA. (2024). CAHIERS MAGELLANES-NS, 6(2), 629-639. https://magellanes.com/index.php/CMN/article/view/347
Krishnan, D. S. G., Arundathi, K. L., Satheeshkumar, D. R., & Rawath, S. S. (2023). A STUDY ON THE ROLE AND IMPACT OF ARTIFICIAL INTELLIGENCE IN RECRUITMENT PROCESSES: THE PERSPECTIVE OF HR PROFESSIONALS. SSRN.
Pathak, S., & Solanki, V. K. (2021). Impact of internet of things and artificial intelligence on human resource development. Further advances in internet of things in biomedical and cyber physical systems, 239-267. DOI: https://doi.org/10.1007/978-3-030-57835-0_19
Baki, N. U., Rasdi, R. M., Krauss, S. E., & Omar, M. K. (2023). Integrating Artificial Intelligence in Human Resource Functions: Challenges and Opportunities. International Journal of Academic Research in Business and Social Sciences, 13(8), 1262-1277. DOI: https://doi.org/10.6007/IJARBSS/v13-i8/18071
Jha, S. K., Jha, S., & Gupta, M. K. (2020). Leveraging artificial intelligence for effective recruitment and selection processes. In International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2019 (pp. 287-293). Springer Singapore. DOI: https://doi.org/10.1007/978-981-15-2612-1_27
Chopal, R., & Garg, U. (2021). Artificial-Intelligence and recruitment: Shift towards automated HR practice. Journal of emerging technologies and innovative research, 8.
Bhardwaj, G., Singh, S. V., & Kumar, V. (2020, January). An empirical study of artificial intelligence and its impact on human resource functions. In 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) (pp. 47-51). IEEE. DOI: https://doi.org/10.1109/ICCAKM46823.2020.9051544
Okeyika, K. O., Ibeto, V. C., Okere, A. I., & Umoh, B. (2023). The application of artificial intelligence (AI) in human resource management: current state of AI and its impact on the traditional recruiting process. AKU: An African Journal of Contemporary Research, 4(3).
Ologunoye, O. T., Adisa, T. A., & Mordi, C. A Systematic Literature Review on the Impact of Artificial Intelligence on Talent Acquisition and Recruitment Processes: A Multi-Process Perspective. Available at SSRN 4791847.
Dixit, S., Sharma, N., Maurya, M., & Dharwal, M. (2022). AI power: making recruitment smarter. In Evolution of Digitized Societies Through Advanced Technologies (pp. 165-180). Singapore: Springer Nature Singapore. DOI: https://doi.org/10.1007/978-981-19-2984-7_14
Umachandran, K. (2021). Application of artificial intelligence for recruitment in manufacturing industries. Journal of Emerging Technologies, 1(1), 11-18. DOI: https://doi.org/10.57040/jet.v1i1.39
Basnet, S. (2024). Artificial Intelligence and machine learning in human resource management: Prospect and future trends. International Journal of Research Publication and Reviews, 5(1), 281-287. DOI: https://doi.org/10.55248/gengpi.5.0124.0107
Kumar, A., Negi, H. C. S., & Nikylina, O. Artificial Intelligence in Reinventing Strategic Human Resources. In Disruptive Artificial Intelligence and Sustainable Human Resource Management (pp. 97-110). River Publishers. DOI: https://doi.org/10.1201/9781032622743-7
Karaboga, U., & Vardarlier, P. (2020). Examining the use of artificial intelligence in recruitment processes. Bussecon Review of Social Sciences (2687-2285), 2(4), 1-17. DOI: https://doi.org/10.36096/brss.v2i4.234
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Raji N, Dr. Valsa George, Dr. Radhieka S Iyer, Suhani Sharma, Dr. Firozkhan I Pathan, Mahabub Basha S
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
