ISSN TBA
Journal of AI and Human Resources Applications
The Journal of AI and Human Resources Applications (JAIHRA) is an international, peer-reviewed academic journal dedicated to advancing interdisciplinary research on the integration of artificial intelligence technologies within human resource management and organizational development. The journal provides a platform for scholars, HR practitioners, and technology developers to disseminate original theoretical and empirical studies that address how AI-driven tools—including machine learning, natural language processing, and predictive analytics—are transforming recruitment, talent management, employee engagement, and workforce planning. JAIHRA aims to bridge the gap between AI innovation and human-centered HR practices, promoting ethical, transparent, and effective applications of AI in the workplace.
JAIHRA welcomes original research articles, review papers, and case studies. The journal’s scope encompasses, but is not limited to, the following core areas:
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AI in Recruitment and Selection: Automated candidate screening, resume parsing, bias detection in hiring, and AI-assisted interview systems.
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Talent Management and Employee Development: Personalized learning and development programs, AI-driven career pathing, and skills gap analysis.
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Workforce Analytics and Predictive Modeling: Employee turnover prediction, performance forecasting, and data-driven workforce planning.
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Employee Engagement and Experience: Sentiment analysis, AI-powered chatbots for HR support, and personalized employee wellness programs.
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Ethics, Fairness, and Governance of AI in HR: Algorithmic bias, data privacy, transparency, and regulatory frameworks for AI-enabled HR decisions.
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AI and Organizational Culture: The impact of AI adoption on workplace dynamics, employee trust, and human-AI collaboration.
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Case Studies and Industry Applications: Empirical studies on AI implementation in HR across diverse sectors and organizational contexts.
