Cui Li , Guoping Chen , Feng Li , Guosen Miao , Yue Wu
{"title":"解读中国c端在线预制餐饮消费者感知风险:基于扎根理论的质量安全风险识别模型","authors":"Cui Li , Guoping Chen , Feng Li , Guosen Miao , Yue Wu","doi":"10.1016/j.jfp.2025.100522","DOIUrl":null,"url":null,"abstract":"<div><div>The COVID-19 pandemic has driven a significant shift in Chinese society from restaurant ’takeaway’ to contactless online purchases of pre-made dishes, raising concerns about their quality safety. This study aims to identify the quality safety risk factors of pre-made dishes purchased online and construct a comprehensive risk identification framework. Using Python, textual data from consumer reviews of the top 50 pre-made dishes on four major e-commerce platforms (Taobao, JD.com, Hema, and Pinduoduo) were analyzed with grounded theory. A model for identifying quality safety risk factors for C-end online shopping for pre-made dishes in China was constructed using grounded theory. Results revealed five core categories of risks: production and processing, e-commerce sales, storage and transportation, consumption, and recycling, encompassing fifteen main and thirty-five initial categories. This study provides a systematic framework to guide government agencies and industry stakeholders in developing risk assessment indicators and formulating safety standards for pre-made dishes.</div></div>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 6","pages":"Article 100522"},"PeriodicalIF":2.1000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decoding Consumer-Perceived Risks in China’s C-end Online Purchasing Pre-made Dishes: A Quality Safety Risk Identification Model Based on Grounded Theory\",\"authors\":\"Cui Li , Guoping Chen , Feng Li , Guosen Miao , Yue Wu\",\"doi\":\"10.1016/j.jfp.2025.100522\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The COVID-19 pandemic has driven a significant shift in Chinese society from restaurant ’takeaway’ to contactless online purchases of pre-made dishes, raising concerns about their quality safety. This study aims to identify the quality safety risk factors of pre-made dishes purchased online and construct a comprehensive risk identification framework. Using Python, textual data from consumer reviews of the top 50 pre-made dishes on four major e-commerce platforms (Taobao, JD.com, Hema, and Pinduoduo) were analyzed with grounded theory. A model for identifying quality safety risk factors for C-end online shopping for pre-made dishes in China was constructed using grounded theory. Results revealed five core categories of risks: production and processing, e-commerce sales, storage and transportation, consumption, and recycling, encompassing fifteen main and thirty-five initial categories. This study provides a systematic framework to guide government agencies and industry stakeholders in developing risk assessment indicators and formulating safety standards for pre-made dishes.</div></div>\",\"PeriodicalId\":15903,\"journal\":{\"name\":\"Journal of food protection\",\"volume\":\"88 6\",\"pages\":\"Article 100522\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of food protection\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0362028X25000742\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of food protection","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0362028X25000742","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Decoding Consumer-Perceived Risks in China’s C-end Online Purchasing Pre-made Dishes: A Quality Safety Risk Identification Model Based on Grounded Theory
The COVID-19 pandemic has driven a significant shift in Chinese society from restaurant ’takeaway’ to contactless online purchases of pre-made dishes, raising concerns about their quality safety. This study aims to identify the quality safety risk factors of pre-made dishes purchased online and construct a comprehensive risk identification framework. Using Python, textual data from consumer reviews of the top 50 pre-made dishes on four major e-commerce platforms (Taobao, JD.com, Hema, and Pinduoduo) were analyzed with grounded theory. A model for identifying quality safety risk factors for C-end online shopping for pre-made dishes in China was constructed using grounded theory. Results revealed five core categories of risks: production and processing, e-commerce sales, storage and transportation, consumption, and recycling, encompassing fifteen main and thirty-five initial categories. This study provides a systematic framework to guide government agencies and industry stakeholders in developing risk assessment indicators and formulating safety standards for pre-made dishes.
期刊介绍:
The Journal of Food Protection® (JFP) is an international, monthly scientific journal in the English language published by the International Association for Food Protection (IAFP). JFP publishes research and review articles on all aspects of food protection and safety. Major emphases of JFP are placed on studies dealing with:
Tracking, detecting (including traditional, molecular, and real-time), inactivating, and controlling food-related hazards, including microorganisms (including antibiotic resistance), microbial (mycotoxins, seafood toxins) and non-microbial toxins (heavy metals, pesticides, veterinary drug residues, migrants from food packaging, and processing contaminants), allergens and pests (insects, rodents) in human food, pet food and animal feed throughout the food chain;
Microbiological food quality and traditional/novel methods to assay microbiological food quality;
Prevention of food-related hazards and food spoilage through food preservatives and thermal/non-thermal processes, including process validation;
Food fermentations and food-related probiotics;
Safe food handling practices during pre-harvest, harvest, post-harvest, distribution and consumption, including food safety education for retailers, foodservice, and consumers;
Risk assessments for food-related hazards;
Economic impact of food-related hazards, foodborne illness, food loss, food spoilage, and adulterated foods;
Food fraud, food authentication, food defense, and foodborne disease outbreak investigations.