This study investigates the simultaneous and individual predictive effects of compensation, work environment, and leadership style on employee performance within a knowledge-intensive consulting firm. Utilizing a quantitative correlational design, empirical data were gathered from a saturated sample (N = 32) of corporate personnel via a validated five-point Likert-type questionnaire. The dataset underwent rigorous psychometric evaluation, classical assumption diagnostics, and multiple linear regression analysis. The empirical findings revealed that the aggregate regression model possesses an exceptional explanatory capacity, accounting for 86.8% of the total variance in employee performance (R² = .868, F = 61.528, p< .001). Separately, all three predictors exerted statistically significant and positive directional effects on performance metrics. Compensation emerged as the most robust predictor (β = 1.005, t = 8.724, p < .001), followed by leadership style (β = .510, t = 4.866, p < .001), and work environment (β = .268, t = 2.120, p = .043). These insights demonstrate that minimizing corporate productivity deficits requires a highly synchronized human resource architecture rather than isolated interventions. The study concludes that sustainable workforce output depends heavily on the strategic orchestration of equitable financial rewards, emotionally intelligent and inclusive managerial guidance, and a supportive physical-psychosocial workspace ecosystem
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