Unlocking the Potential: HRM Integration of AI in the Gig Economy for Enhanced ERP Performance
DOI:
https://doi.org/10.47392/IRJAEH.2024.0232Keywords:
Predictive Analysis, HRM, Gig EconomyAbstract
This study explores the relationship between interaction with the gig economy and human resource management (HRM), emphasizing AI integration to improve corporate processes. It looks at important factors such as employment flexibility, organizational support, and work-life balance to improve work efficiency, output quality, job satisfaction, and stress management among gig workers. It highlights the importance of getting involved in the employee community and developing professional networks to progress in the gig economy. The study focuses on the changing HRM strategies in the gig economy by grouping findings into three categories: rising, redefined, and outdated relevance, based on a thorough investigation of current literature. By incorporating AI technology, HRM processes could be improved, labor management can be optimized, and organizational efficiency can be increased. AI-powered solutions can support focused learning programmers, streamlined communication channels tailored to the requirements of gig workers, and predictive analytics for workforce planning. Organizations can adapt to the changing nature of gig employment and promote agility, innovation, and competitiveness in the digital age by utilizing AI alongside HRM strategies.
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Copyright (c) 2024 International Research Journal on Advanced Engineering Hub (IRJAEH)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.