Strategic Cost Accounting: How Large Corporations Use Costing Methods to Drive Long-Term Decision-Making
Abstract
This study investigates how large corporations strategically utilize cost accounting methods, such as Activity-Based Costing (ABC), Standard Costing, and Job Order Costing, to drive long-term financial decision-making. Using a descriptive and comparative research design, financial data from multinational corporations, including Apple Inc., Walmart Inc., General Motors, Johnson & Johnson, and Boeing Co., were analyzed for the period 2020–2024. The study employs statistical models such as correlation analysis (r = 0.87), ANOVA (F = 12.45, p < 0.05), and regression analysis (Y = 2.5X + 6, R² = 0.78) to evaluate the impact of strategic cost accounting on profitability, revenue growth, and forecasting accuracy. Findings indicate that firms adopting ABC experienced higher profit margins (18%) and revenue growth (14%), compared to 7% and 6%, respectively, for those using Standard Costing. Moreover, companies leveraging AI-driven cost analytics improved forecast accuracy to 92%, significantly enhancing cost efficiency and decision-making. The study concludes that advanced costing methodologies, particularly when integrated with AI and big data analytics, yield superior financial outcomes. It recommends that corporations invest in data-driven costing frameworks and policymakers establish standardized guidelines for AI-enhanced cost management. The study finds that adopting advanced costing methods, particularly those enhanced by AI-powered analytics, gives companies a competitive edge by improving financial transparency, optimizing resource use, and strengthening long-term strategic decisions. Consequently, it advises businesses to invest in intelligent, data-centric cost accounting systems. Furthermore, it urges policymakers and regulatory authorities to establish uniform standards for AI-integrated cost management to promote industry-wide consistency, transparency, and accountability.
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