STATISTICAL EVIDENCE OF HRM EFFICACY IN CRISIS: DATA FROM YEMEN'S INDUSTRIAL SECTOR (Pages 01-12) by Sami Abdulqader Mohammed AL-Ademi and Kaveri S. Lad in THE INTERNATIONAL RESEARCH SPECIALIST / ISSN: 2350-1499 (Online); 2350-0751 (Print)

urpose: This study investigates the efficacy of Human Resource Management (HRM) strategies in sustaining employee performance during protracted humanitarian crises, with empirical evidence from Yemen's industrial sector. Design/Methodology/Approach: A cross-sectional survey design was employed, collecting data from 293 managerial employees of a major Yemeni industrial group. The study utilized confirmatory factor analysis and stepwise multiple regression to analyze the relationships between four HRM dimensions (recruitment & selection, training & development, motivation, performance appraisal) and three employee performance dimensions (quality, commitment, quantity of work). Findings: The results indicate that HRM strategies explain significant variance in employee performance despite crisis conditions. The full model accounted for 28.3% of variance in overall performance (R² = .283, p < .001), with recruitment and selection demonstrating the strongest individual impact (β = .153, p < .001). Employee commitment emerged as the most strongly influenced performance dimension (R² = .294), while training showed a unique, significant relationship with work quantity (β = .210, p < .001). Originality/Value: This research provides rare quantitative evidence of HRM efficacy in an active conflict zone, extending strategic HRM theory to extreme contexts and offering practical guidance for organizations operating in volatile environments. Practical Implications: The findings suggest that HRM investment during crises constitutes an essential strategic imperative rather than a discretionary expense, with particular emphasis on selective recruitment and commitment-building practices. Key-words: Human Resource Management, Crisis Management, Organizational Resilience, Yemen, Employee Performance, Quantitative Research etc.