A comprehensive performance evaluation of food and beverages industry in Malaysia using grey relational analysis models / Aina Nashita Abd Razak, Nurul Alisya Abdul Malek and Nurul Azzwin Azzura Shahrudin

• Main Authors: Abd Razak, Aina Nashita, Abdul Malek, Nurul Alisya, Shahrudin, Nurul Azzwin Azzura
• Format: Student Project
• Language: English
• Published: 2023
• Subjects: Mathematical statistics. Probabilities
• Online Access: https://ir.uitm.edu.my/id/eprint/82502/1/82502.pdf; https://ir.uitm.edu.my/id/eprint/82502/

The purpose of this study is to evaluate the performance of companies in the food and beverage industry listed on the Bursa Malaysia. The criteria evaluated include financial performance such as the debt ratio, the current ratio, the profit margin ratio, and the asset turnover ratio. This study uses secondary data. The sample of this study includes 30 Food and Beverage (F&B) companies that were listed on the Bursa Malaysia market within 2017 and 2021. The Grey Relational Analysis model was used to rank and analyze the factors that influence the performance of the F&B companies based on their performance evaluation using financial ratio. In this study, the Grey Relational Grades were used to rank the companies from. In addition, the findings of this study demonstrate that the most influential factor to the companies’ performance is profitability ratio (Profit Margin Ratio, or PMR).