This paper analyzes how accounting-based incentive mechanisms shape firm performance and governance. A compact “incentives – effort – performance – payoffs” framework is proposed, integrating agency-contracting logic with behavioral frictions—line-of-sight, gaming risk, and forecastability. Methods combine a structured review, a conceptual model of metric selection and payout curves, and two cross-industry cases: GE’s EVA-centered design and Apple’s multi-year equity with relative TSR hurdles. Evidence highlights three levers that dominate outcomes: metric parsimony, auditability and transparency, and the measurement horizon. Excess complexity weakens incentives by obscuring how actions translate into pay, yet macro conditions, competition, and portfolio shift also matter; complexity is a primary, not exclusive, driver. For SMEs the paper offers a practical path: pick two or three strategy-linked metrics; define thresholds, targets, and caps; use light monitoring and plain-language communication; pilot before scaling; and keep discretion narrow. The contribution is to reconcile theory and practice, clarify boundary conditions (volatility, discretion, asymmetry), and provide actionable heuristics for robust, affordable incentive design.
Sim Choon Ling (Thu,) studied this question.
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