The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI- Powered Talent Acquisition: Revolutionizing the Hiring Process
|
|
Author(s): Kamalesh Ravesangar (Tunku Abdul Rahman University of Management and Technology, Malaysia), Wei Chien Ng (Universiti Sains Malaysia, Malaysia), Guat Guan Toh (Tunku Abdul Rahman University of Management and Technology, Malaysia)and Bhupinder Singh (Sharda University, India)
Copyright: 2025
Pages: 22
Source title:
Artificial Intelligence in Peace, Justice, and Strong Institutions
Source Author(s)/Editor(s): Christian Kaunert (Dublin City University, Ireland), Anjali Raghav (Sharda University, India), Kamalesh Ravesangar (Tunku Abdul Rahman University of Management and Technology, Malaysia), Bhupinder Singh (Sharda University, India)and Budi Agus Riswandi (Universitas Islam Indonesia, Indonesia)
DOI: 10.4018/979-8-3693-9395-6.ch001
Purchase
|
Abstract
Artificial intelligence (AI) is transforming recruitment, shifting traditional hiring toward efficient, data-driven processes. This chapter explores AI's impact on talent acquisition, detailing its influence on every stage—from candidate sourcing and screening to automated assessments and predictive analytics. Leveraging machine learning, AI allows organizations to analyze vast data sources, such as resumes and social media profiles, to quickly and accurately identify top candidates. The chapter covers key AI technologies like natural language processing, chatbots, and predictive analytics and highlights benefits like efficiency, reduced bias, and improved candidate experience. It also examines ethical challenges, including algorithmic bias, transparency, data privacy, costs, and resistance to change. This chapter underscores the need for responsible AI use, enabling organizations to build inclusive and equitable hiring practices by balancing AI's strengths and limitations.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|