Acceptance of biodegradable packaging among food operators in Kuala Lumpur and Selangor

• Main Author: Siti Khadijah Ramli
• Format: Undergraduate Final Project Report
• Language: English
• Published: 2022
• Online Access: http://discol.umk.edu.my/id/eprint/14597/1/SITI%20KHADIJAH%20RAMLI.pdf; http://discol.umk.edu.my/id/eprint/14597/

As a result of the increasing global consciousness of the danger of environmental pollution, there is a growing global awareness among humans to pursue environmentally sustainable alternatives for the sake of future generations. The product's market demand of food packaging has risen as customers in some regions become more conscious of the negative effects. Manufacturers are now moving to environmentally friendly food packaging in response to government legislation prohibiting the usage of single-use plastics. According to Ali, & Abdullah (2017), Klang Valley, including Kuala Lumpur, Cyberjaya, Petaling Jaya and others, is said to be Malaysia's most urbanized destination, which has resulted to highest number of restaurants in Malaysia. The objectives of this study are to measure operators’ knowledge about biodegradable packaging and to identify the significant factors of food operators’ acceptance towards biodegradable packaging in Kuala Lumpur and Selangor. A KAP model theory was used to perceive the acceptance of food operators towards biodegradable packaging. This study contributes to identify associated factors as a potential motivation for food operators to use biodegradable products. A number of factors determine their acceptance to apply biodegradable packaging as alternative to reduce plastic pollution. The main data will be gathered through a designed questionnaire of food operators in Kuala Lumpur and Selangor. A total number of the 30 participants will be participated and aged from 20 to 60 years old that runs food and beverage business. The data will be gathered using purposive sampling method and the data will be analyzed using the Statistic Package for the Social Science (SPSS).