DOI: 10.1108/978-1-80686-125-520261002 ISSN:

Beyond Intuition: Data-driven Hiring with AI for the Modern HR Manager

Vidhi Agrawal, Yu Chen Hu, Vibhuti Agrawal

In today’s competitive world, the ability to attract, assess, and acquire the right talent is not just a strategic advantage but the necessity for any business to grow, sustain, and succeed. The hiring challenge today is far more complex than ever before. Organizations must not only decide who to hire but also when to hire, why a particular skill set is needed, and how to design an efficient, fair, and future-ready hiring process. With the advent of artificial intelligence (AI)-enabled systems and Big Data analytics, human resources (HR) managers now have the opportunity to transition from intuition-based hiring to data-driven recruitment strategies. Although the AI-enabled technology has created new possibilities for HR professionals to conduct recruitment activities in a more systematic and transparent manner, but adopting AI-enabled systems has also introduced a new set of challenges, particularly for HR managers without a technical background. To get the best advantage out of AI-enabled systems, HR managers are required to develop hybrid skills that combine their core expertise of human resource management (HRM) with the foundational knowledge of data science. This chapter has explored in detail how HR managers can leverage AI and Big Data to their best advantage and can ensure more accurate hiring decisions while simultaneously enhancing candidate experience.

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