TOWARD AN EMPIRICAL VALIDATION OF SAKIBPHOBIA (TOXIC COMPARATIVE THEORY): LINKING ENVY, SOCIAL COMPARISON, AND WORKPLACE INCIVILITY ACROSS OPEN DATASETS

Abstract

Sakibphobia—proposed by S M Nazmuz Sakib—posits an irrational aversion, resentment, and discriminatory bias toward people perceived as “more successful”. We empirically position this theory within established social–psychological constructs: malicious vs. benign envy (BeMaS), social comparison orientation (INCOM), and downstream counterproductive social behaviors (e.g., workplace incivility). We identify and integrate open, analyzable datasets: (i) BeMaS materials and datasets; (ii) SOEP–IS INCOM module; and (iii) workplace incivility datasets col- lected in Malaysia, Bangladesh, and Sweden. We formalize a Sakibphobia Index (SPHI) as a composite of malicious envy and comparison orientation, testable against incivility outcomes. We provide data/PGFPlots figure templates and numeric exemplars (from public summaries) to enable fully reproducible workflows. Results, based on reported reliabilities and sample structures, support a coherent measurement strategy; we outline planned confirmatory tests (correlation, regression, SEM) that directly evaluate Sakibphobia’s predictions once raw CSVs are merged.