Akademik Veri Yönetim Sistemi
Community Practitioner, cilt.20, sa.8, ss.404-416, 2023 (Scopus)
The present study aims to examine the application of statistical methodologies in facilitating efficient decision-making processes within a specific subset of businesses, namely small and medium-sized enterprises (SMEs) located in Erbil, Iraq. The objective of this study is to investigate the utilization and consequences of statistical methodologies on decision-making procedures within small and mediumsized enterprises (SMEs). The research methodology utilized a quantitative approach by employing surveys and questionnaires to collect data from a sample of 289 employees working in various small and medium-sized enterprises (SMEs) located in Erbil. The collected data underwent various statistical analyses, such as descriptive analysis, validity analysis, factor analysis, reliability analysis, correlation analysis, and regression analysis. The significance of statistical methods in decision-making within small and medium-sized enterprises (SMEs) is underscored in the literature review. It emphasizes the pivotal role of these methods in various domains, including but not limited to forecasting, quality control, risk assessment, and performance evaluation. The analysis results demonstrate notable correlations between the utilization of statistical techniques and the outcomes of decision-making processes within the chosen small and medium-sized enterprises (SMEs). The findings suggest that the utilization of statistical techniques has a beneficial impact on the decision-making processes within small and medium-sized enterprises (SMEs) located in Erbil, Iraq. The results underscore the significance of possessing statistical literacy, allocating resources towards data management systems, and fostering a culture that prioritizes data-driven decision-making within small and medium-sized enterprises (SMEs). This study makes a valuable contribution to the expanding field of research on statistical methods in the decision-making processes of small and medium-sized enterprises (SMEs). Additionally, it offers recommendations aimed at improving the application of statistical techniques within the context of SMEs. In general, this study provides significant contributions that can aid small and medium-sized enterprises (SMEs) in Erbil and comparable settings in improving their decision-making procedures and attaining sustainable growth.