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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM67781

Awareness, Perceptions and Readiness for Generative AI Adoption in Recruitment at Healthcare Sectors in Kerala

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67781

Volume:

10 |

10 |

Oct 2026

Pages:

1-16

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67781

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AH

Arjun Hari

Department of Management FMC

Ramaiah University of Applied Sciences

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DAN

Dr. Annapurna Nagoji

Department of Management FMC

Ramaiah University of Applied Sciences

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Abstract

Generative Artificial Intelligence (GenAI) tools such as ChatGPT, Gemini and Copilot have entered everyday office work quickly, but little is known about what the professionals that run hospital recruitment have to say about them. This study evaluates the awareness, perception and readiness of human resource (HR) professionals towards GenAI adoption in healthcare recruitment. A qualitative, descriptive and exploratory design was followed. Open-ended questionnaire and interview responses were collected from one HR or recruitment professional, per each of 30 hospitals in Kerala, India and were analysed in NVivo using a four-parent, seventeen-child codebook, word frequency queries, word clouds and objective-wise thematic interpretations. The respondents were generally aware of GenAI and familiar with the common tools, although awareness had not yet become an organisational adoption. The potential utility of GenAI were seen to be in organisation of applications, preparation of candidate summaries, qualification matching and reduction of repetitive administrative work, although gains in hiring time had not been consistently reported. Concerns were raised around accuracy, privacy, biases, ethics, trust and organisational barriers. The respondents expect adoption to be a gradual and human-led process, contingent upon AI-literacy, training and governance. The study contributes context-specific qualitative evidence on this topic that has mostly been explored in clinical settings and in other industries, and proposes a phased, governance-first approach to adoption.

KEYWORDS

Generative AI; healthcare recruitment; HR professionals; awareness; perceptions; readiness; NVivo; thematic analysis; Kerala

Cite This Article

Arjun Hari, Dr. Annapurna Nagoji, "Awareness, Perceptions and Readiness for Generative AI Adoption in Recruitment at Healthcare Sectors in Kerala," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-16, Oct 2026. https://doi.org/10.55041/IJSREM67781

Full Article/Conclusion

HR professionals in the hospitals studied are aware of Generative AI and familiar with common tools, but this awareness has not yet become formal adoption by recruitment. They see its value primarily in administrative and information-handling work, and they regard its benefits as more potential than shown. Their concerns are specific and consistent in their nature: accuracy and context, privacy and data security, bias and ethics, trust and the need for human review, and organisational barriers. They expect adoption to be gradual and conditional on training, governance and human oversight. The central message is neither enthusiasm nor resistance: hospitals that build AI literacy, set out clear rules and keep humans accountable for decisions about people will be best positioned to benefit from Generative AI in recruitment.

References

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Publication Date

10/29/2026

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Review Rounds: 2

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