Cross-Sectional HRM Practices and Employee Performance Across Industries

Thesis Abstract

This study investigates how cross-sectional human resource management (HRM) practices influence employee performance across diverse industries, addressing the persistent concern that one-size-fits-all HRM approaches may inadequately capture industry-specific performance drivers. The problem stems from heterogeneous organizational contexts where HRM bundles—recruitment and selection, training and development, performance management, compensation, and employee engagement—may differentially affect performance outcomes such as productivity, job satisfaction, and innovation. The aim is to examine the differential impact of core HRM practices on employee performance across manufacturing, information technology, healthcare, and financial services sectors, and to identify contextual moderators that strengthen or weaken these relationships. The study has five specific objectives (1) to assess the prevalence and perceived effectiveness of core HRM practices across industries; (2) to quantify the relationship between HRM configurations and objective and subjective performance indicators; (3) to test for industry-specific variations in HRM–performance linkages; (4) to examine the mediating role of employee engagement and psychological contract fulfillment; and (5) to develop a cross-industry HRM framework that informs targeted management practices. A positivist, cross-sectional research design is employed. The population comprises full-time employees with at least one year of tenure in large-scale organizations (employee count > 500) within the four industries. A stratified random sample yields 1,200 respondents, with proportional allocation across industries 300 from manufacturing, 300 from IT, 300 from healthcare, and 300 from finance. Data collection utilizes a structured self-administered questionnaire and retrieves organizational performance metrics from archival records where available, including productivity indices, turnover rates, and patient or client satisfaction scores as applicable. The questionnaire measures core HRM practices using validated scales for recruitment and selection, onboarding, training and development, performance appraisal, compensation and benefits, and employee engagement, along with attitudinal indicators for job satisfaction and perceived organizational support. To ensure construct validity, content validity is established through expert review and pre-testing, while reliability is assessed with Cronbach’s alpha and composite reliability. Data analysis proceeds in three stages (i) descriptive statistics and multivariate profile analysis to map HRM practice prevalence across industries; (ii) structural equation modeling (SEM) to test direct effects of HRM practices on employee performance constructs, including objective productivity, task performance, and adaptive performance; and (iii) multi-group SEM to detect industry-specific path differences, complemented by mediation analysis to evaluate the roles of engagement and psychological contract fulfillment. Additional robustness checks employ hierarchical linear modeling to account for organizational nesting and potential cross-level effects. Expected findings anticipate that comprehensive HRM configurations positively relate to higher employee performance across all sectors, with stronger effects observed for training and development, performance management, and engagement, while recruitment practices show variable effects contingent on industry context. Mediation analyses are expected to reveal that employee engagement and psychological contract fulfillment partially transmit the impact of HRM practices on performance, with effect sizes varying by industry. The study contributes to knowledge by (a) offering an empirical cross-industry comparison of HRM practices and performance, (b) identifying context-sensitive configurations and moderators that enhance effectiveness, and (c) proposing a parsimonious cross-industry HRM framework to guide managerial practice and policy. The theoretical contribution engages and tests minimalist extensions of the Resource-Based View and the AMO (Ability, Motivation, Opportunity) framework in cross-industry settings, integrating engagement theory and psychological contract perspectives. Practical implications include tailored HRM bundles for each industry, guidance for HR practitioners on prioritizing interventions with the greatest expected return, and policy recommendations for standardized data collection to enable continuous cross-industry benchmarking. The study concludes that while core HRM practices generally improve employee performance, industry-specific configurations and mediator mechanisms critically shape the magnitude and significance of these effects, underscoring the need for flexible HRM design and ongoing diagnostic assessments. Recommendations emphasize industry-aware HRM audits, investment in targeted training, enhanced performance management, and sustained initiatives to foster engagement and psychological contract fulfillment.