Linking Compensation Packages to Operational Performance: Evidence from the Consumer Goods Sector (2002-2024)
Year: 2025
Type: article
Abstract: Understanding the influence of compensation packages on operational performance is critical to navigating the evolving dynamics of Nigeria’s consumer goods sector. This study investigates the extent to which directors’ remuneration, salaries, wages and allowances, and employee benefits affect operational performance, measured by return on assets (ROA), in the context of Nestlé Nigeria Plc. Adopting an ex post facto research design, the study utilized secondary data sourced from the company’s audited financial statements spanning 2002 to 2024. To improve the analysis, the research used basic statistics and multiple regression analysis with E-Views software, along with strategic tools like SWOT and PESTEL analyses. The regression results reveal that directors’ remuneration has a statistically significant negative effect on ROA (p = 0.0120), indicating that excessive executive compensation may diminish profitability. Conversely, salaries, wages, and allowances (p = 0.4056) and employee benefits (p = 0.6206) were found to have statistically insignificant impacts on ROA, suggesting that these variables do not substantially influence operational efficiency within the studied period. The overall model was statistically significant (F-statistic = 15.08, p < 0.000 at the 0.05 level of significance) with an R-squared value of 70.4%, confirming a strong explanatory power. While the study’s scope was limited to a single firm, the implications are substantial. It emphasizes the need for performance-driven compensation strategies that align executive and employee pay with organizational goals. The study recommends regular policy evaluations and the adoption of transparent, performance-linked compensation frameworks to improve productivity and financial outcomes across the consumer goods sector.
Authors: Umoh E., Boniface, Umoh E., Boniface
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6968067940
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