Process Management Strategies on Organizational Performance of Manufacturing Firms in Asaba, Delta State

The study focused on Process Management Strategies and Organizational Performance of Manufacturing Firms in Asaba, Delta State, Nigeria. The specific objectives are to examine the effect of process goals on organizational performance of manufacturing firms; determine the effect of monitoring on organizational performance of manufacturing firms; and examine the effect of risk management on organizational performance of manufacturing firms. The cross-sectional survey research design was employed in this study. The population of this study consists of the management and staff of the selected manufacturing firms, which include; Anudu Plastics, Asaba Delta State, Vicken Manufacturing Company, Delta State, Asaba Aluminium, Asaba Delta State, and Nation Builders Bakery, Asaba Delta State. The sample size of two hundred and four (204) was obtained using Borg and Gall sample size formula. A stratified sampling technique was used. The study was driven by primary. The data were analyzed using correlation and regression analysis as analytical tools. Findings revealed that Process Goals has significant effect on organizational performance with (β= .292, P =.000 <.05), Monitoring has significant effect on organizational performance with (β= .277, P =.000 <.05), and Risk Management has significant effect on organizational performance with (β= .257, P =.001 <.05). The study concluded that Effective process optimization leads to faster response times, better risk management, and higher adaptability to market fluctuations. Companies that integrate technology, automation, and data-driven decision-making into their process management frameworks can achieve long-term sustainability. Furthermore, businesses that continuously improve and innovate their processes can differentiate themselves from competitors by offering superior products and services. The study recommends that Organizations should adopt a data-driven approach to process management by leveraging advanced analytics, performance metrics, and key performance indicators (KPIs). This will enable real-time monitoring of processes, identification of inefficiencies, and data-informed decision-making. Utilizing tools such as business intelligence software, machine learning, and automation will enhance accuracy, reduce errors, and improve overall performance

Process Management Strategies, Organizational Performance, Process Goals, Monitoring and Risk Management

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