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<p>This study examines the impact of human resource management (HRM) practices on organizational effectiveness in the Indian manufacturing sector using a hybrid partial least squares-structural equation modeling (PLS-SEM) and artificial neural network (ANN) approach. Data from 467 professionals reveal that recruitment, training, performance appraisal, compensation, and employee participation significantly enhance effectiveness, mediated by employee performance and satisfaction. Organizational culture and leadership style moderate these relationships. ANN analysis highlights non-linear dependencies and ranks variable importance. Findings provide actionable insights for HR managers to optimize strategies, fostering a competitive, high-performance work environment in India’s evolving manufacturing sector.</p>

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Exploring the Impact of HRM Practices on Organizational Effectiveness in the Indian Manufacturing Sector: a Comprehensive Analysis Using PLS-SEM and ANN

  • 期刊论文

  • 发表日期：

    2025年8月6日

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  • Manoj Vohra,
  • Manoj Patwardhan,
  • Yogesh Upadhyay

摘要

This study examines the impact of human resource management (HRM) practices on organizational effectiveness in the Indian manufacturing sector using a hybrid partial least squares-structural equation modeling (PLS-SEM) and artificial neural network (ANN) approach. Data from 467 professionals reveal that recruitment, training, performance appraisal, compensation, and employee participation significantly enhance effectiveness, mediated by employee performance and satisfaction. Organizational culture and leadership style moderate these relationships. ANN analysis highlights non-linear dependencies and ranks variable importance. Findings provide actionable insights for HR managers to optimize strategies, fostering a competitive, high-performance work environment in India’s evolving manufacturing sector.