Statistical Modelling of the Predictive Influence of Organizational Climate on Affective, Normative, and Continuance Commitment Among University Professors: A High-Order Empirical Assessment

Abstract

This advanced empirical inquiry systematically interrogates the predictive salience of organizational climate in shaping the tri-structural paradigm of organizational commitment affective, normative, and continuance among university professors. Grounded in a high-resolution quantitative methodological matrix, the study deployed a cross-sectional survey design incorporating stratified random sampling across 200 faculty participants from two tertiary institutions. Organizational climate was operationalized as a multidimensional latent variable encompassing psychosocial interactional ambience, structural governance transparency, collaborative reciprocity, academic resource ecologies, and administrative legitimacy. A rigorous battery of statistical procedures, including descriptive metrics, psychometric reliability diagnostics (Cronbach’s α), Pearson-correlation analyses, and multivariate regression modelling, was executed to ascertain the magnitude and directional influence of climate on commitment outcomes. Findings illuminate that organizational climate constitutes a statistically formidable antecedent of affective and normative commitment trajectories, demonstrating substantial predictor coefficients and significance parameters beyond conventional benchmarks (p < .001). Conversely, its influence upon continuance commitment emerged comparatively attenuated, implying that retention among academic faculty is predominantly governed by affective alignment and moral obligation rather than calculative dependency or perceived switching costs. The study contributes a theoretically enriched extension to organizational behaviour scholarship by advancing climate–commitment modelling within academic ecosystems, historically underrepresented in empirical discourse. The paper culminates with a comprehensive constellation of policy-directive imperatives, governance-embedded intervention frameworks, and suggestions for future research trajectories emphasizing longitudinal and multi-level structural equation modelling paradigms.