International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Human Resource Management | Volume 15 Issue 7, July 2026 | Pages: 180 - 186 | India


Evaluating the Adoption of AI-Driven Recruitment and Talent Acquisition Tools in the Hospitality Sector

Mohd. Tabish Khan

Abstract: This study analyses the use of AI-enabled recruitment and talent acquisition tools in the hospitality sector from the Human Resource Management viewpoint. The hospitality industry is reliant on humans and sensitive to behaviour and climate. The quickness of recruitment, the fit of candidates and retention-oriented hiring are managerial concerns. The research relies solely on secondary data analysis and synthesizes the most recent peer-reviewed literature, hospitality HRM studies, AI-recruitment scholarship, industry reports, and labour-market publications published between 2020 and 2025. The analysis show that AI adoption in hospitality recruitment is expanding through applicant tracking system, automated resume screening, AI-enabled job description writing, recruitment chatbots, candidate relationship management tools, predictive analytics, automated interview scheduling and skills-assessment platforms. The primary benefits include greater administrative efficiency, quicker shortlisting, better candidate communications, a wider talent reach and better use of data. Even so, adoption is uneven because hospitality firms continue to experience data-quality limitations; the digital maturity of smaller operators is lower; managerial resistance, budget constraints and algorithmic bias persist; privacy concerns arise and it is difficult to preserve the human touch that is at the heart of service work. It posits that rather than being viewed as a replacement for managerial judgement, AI should be viewed as a socio-technical HR capability. A proactive model of adoption is suggested whereby technology readiness, HR capability, organizational support, ethical governance and candidate acceptance collectively determine adoption outcomes. By aggregating HRM and hospitality-management literature related data on AI adoption, talent acquisition and sector-associated workforce issues, the study develops a framework based on secondary data.

Keywords: Artificial intelligence, recruitment, talent acquisition, hospitality sector, human resource management

How to Cite?: Mohd. Tabish Khan, "Evaluating the Adoption of AI-Driven Recruitment and Talent Acquisition Tools in the Hospitality Sector", Volume 15 Issue 7, July 2026, International Journal of Science and Research (IJSR), Pages: 180-186, https://www.ijsr.net/getabstract.php?paperid=SR26702171837, DOI: https://dx.doi.org/10.21275/SR26702171837

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