A New Revolution in Green Human Resource Management (GHRM) Using Artificial Intelligence (AI)

Authors

  • Srashti Bijoria SAM Global University Bhopal India Author

Keywords:

Globalisation, Human Resources Management, Recruitment, Artificial Intelligence, Green Human Resource Management (GHRM)

Abstract

In the era of globalisation, organisations strive to maintain their competitive edge by staying updated with the latest information technology (IT) trends. Human resources (HR) is paramount among organisations’ critical departments, encompassing sourcing, recruitment, selection, hiring, training, and employee relations management. Efficient recruitment is pivotal for organisations to secure capable employees who can contribute to long-term organisational development. Traditional recruitment methods are often laborious and paper-intensive. However, technological advancements and internet infrastructure have prompted a shift towards online recruitment, enabling organisations to streamline processes and alleviate HR workload. Data analysis is integral to the recruitment process, influencing crucial decision-making. Artificial Intelligence (AI) emerges as a promising tool for enhancing data analysis and aiding HR professionals and recruiters in making informed decisions. AI, essentially intelligent machines developed to mimic human behaviour, offers innovative methods to optimise the recruitment process within Green Human Resource Management (GHRM). This paper aims to explore the integration of artificial intelligence in GHRM’s recruitment process, elucidate the rationale behind its adoption, and identify associated drawbacks. The methodology employed for this research involves a comprehensive literature review comprising conceptual papers, peer-reviewed journals, and articles.

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Published

2024-04-05

How to Cite

A New Revolution in Green Human Resource Management (GHRM) Using Artificial Intelligence (AI). (2024). International Journal of Innovative Research in Technology and Science, 12(2), 93-100. https://ijirts.org/index.php/ijirts/article/view/16

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