What question did this study set out to answer?

The study aims to analyze the complexities of AI adoption in recruitment, focusing on its implications for efficiency and ethics.

May 28, 20260 citationsOpen Access

Prospects and Barriers in Adopting AI-Driven Automation for Recruitment and Selection

View Full Paper

SSS. Saranya DCDr. K. Chandrasekar

Key Points

The study aims to analyze the complexities of AI adoption in recruitment, focusing on its implications for efficiency and ethics.
Comprehensive review of theoretical and empirical literature on AI in HR practices.
Examination of five key research questions addressing organizational performance and ethical considerations.
Analysis of variations in AI adoption across different industries and organizational contexts.
AI tools enhance candidate-job matching and recruitment efficiency but require human intuition for optimal outcomes.
Ethical safeguards and inclusive practices are essential for a sustainable HR 4.0 ecosystem.
Adoption rates vary significantly across industries and regulatory environments, necessitating tailored strategies.

Abstract

Abstract: The rapid integration of Artificial Intelligence (AI) in recruitment and selection has transformed traditional HR practices, offering enhanced efficiency, predictive insights, and automation in talent acquisition. However, alongside these advancements, critical challenges persist regarding ethical governance, algorithmic bias, human–AI collaboration, and long-term organizational outcomes. This study aims to provide a multidimensional analysis of AI adoption in recruitment, focusing on its operational, strategic, and human-centric implications. Based on a comprehensive review of theoretical and empirical literature, the study addresses five key research questions related to AI’s impact on organizational performance, ethical considerations, human judgment integration, industry-specific adoption, and sustainable HR strategies. The findings reveal that while AI-driven tools improve candidate-job matching and recruitment efficiency, optimal outcomes are contingent upon complementing automation with human intuition, transparency, and cultural sensitivity. Variations in adoption across industries, organizational sizes, and regulatory contexts further highlight the need for context-specific strategies. The study underscores the importance of embedding ethical safeguards and inclusive practices to ensure that AI contributes to sustainable HR 4.0 ecosystems, employee engagement, and long-term organizational success. These insights provide valuable implications for practitioners, policymakers, and researchers seeking to balance technological innovation with human-centric and socially responsible recruitment strategies. Keywords: Artificial Intelligence, Recruitment and Selection, Human–AI Collaboration, Algorithmic Bias, HR 4.0, Ethical Governance, Organizational Performance. Title: PROSPECTS AND BARRIERS IN ADOPTING AI-DRIVEN AUTOMATION FOR RECRUITMENT AND SELECTION Author: Dr. S. Saranya, Dr. K. Chandrasekar International Journal of Management and Commerce Innovations ISSN 2348-7585 (Online) Vol. 14, Issue 1, April 2026 - September 2026 Page No: 430-443 Research Publish Journals Website: www.researchpublish.com Published Date: 20-May-2026 DOI: https://doi.org/10.5281/zenodo.20310499 Paper Download Link (Source) https://www.researchpublish.com/papers/prospects-and-barriers-in-adopting-ai-driven-automation-for-recruitment-and-selection

AIに質問

Bookmark

View Full Paper

Cite This Study

Saranya et al. (2026) studied this question.

synapsesocial.com/papers/6a17ddab3fad632b0f9da6cb https://doi.org/https://doi.org/10.5281/zenodo.20310499

AIに質問

Bookmark

View Full Paper