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The research analyzes in depth how Beyond Budgeting influences financial results across the South African non-ferrous metal industry. The research solves the challenge of outdated budget systems alongside marketplace insecurities and operational obstacles in the examined sector. The 60-month period from 2020 through secondary financial statement analysis of non-ferrous metal firms constitutes the research approach. Financial performance analysis used a sample set of statements to conduct t-tests on paired data points for examining budgeting practice associations. Beyond Budgeting brought better revenue results to organizations but proved minimally effective in increasing profitability when associated with growing cost diversity levels. Beyond Budgeting produced enhanced revenue results but did not create substantial changes in operating profit numbers. Traditional budgeting methods proved unfit for handling the changing non-ferrous metal market environment because they produced erroneous financial prediction results. The study findings indicate South African non-ferrous metal firms should implement Beyond Budgeting for their revenue flexibility but must maintain cost control systems for profitability sustainability. Organizations should combine traditional budgeting components with Beyond Budgeting principles to attain financial security as well as market responsiveness according to research findings. Financial managers require training in adaptive budgeting and organizations should install real-time tracking systems which effectively regulate cost variances.

This study investigates the key factors influencing warehouse inventory performance at Eskom Distribution in the Gauteng Cluster using factor analysis. The aim is to identify critical elements that impact inventory management effectiveness and enhance operational performance. Eskom faces challenges in inventory control, including forecasting inaccuracies, procurement risks, and technology integration limitations, despite advancements in Economic Order Quantity (EOQ) and Reorder Point (ROP) models. This research applies a quantitative approach with a positivist paradigm, using simple random sampling to select 144 respondents from a target population of 230 employees involved in inventory management. Data was collected through structured questionnaires and analyzed using Principal Component Analysis (PCA) to uncover the factors affecting warehouse performance. The study identifies three major components—operational efficiency, inventory accuracy, and record-keeping—that account for the majority of variance in performance outcomes. These findings are aligned with previous studies emphasizing the role of accurate inventory data, efficient operations, and technology in enhancing warehouse functioning. The implications suggest that Eskom and similar organizations should invest in advanced inventory management systems, improve staff training, and adopt real-time tracking solutions. Further research could explore how external disruptions and emerging technologies, such as AI and blockchain, influence inventory performance across various sectors. This study contributes valuable insights to the field of inventory management within the public sector, offering practical recommendations for improving warehouse efficiency and reducing operational delays.