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

Abd Razak, Aina Nashita and Abdul Malek, Nurul Alisya and Shahrudin, Nurul Azzwin Azzura (2023) 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. [Student Project] (Unpublished)

Abstract

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).

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Abd Razak, Aina Nashita
UNSPECIFIED
Abdul Malek, Nurul Alisya
UNSPECIFIED
Shahrudin, Nurul Azzwin Azzura
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Programme: Bachelor of Science (Hons.) Management Mathematics
Keywords: Food, Malaysia, grey relational analysis
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/82502
Edit Item
Edit Item

Download

[thumbnail of 82502.pdf] Text
82502.pdf

Download (126kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

82502

Indexing

Statistic

Statistic details