• Culinary science and hospitality research
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• v.22 no.6
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• pp.24-32
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• 2016

The number of higher education institutions in Malaysia is increasing and continuously attracts a large number of international students. Therefore, it is important for foodservice operator to understand the perception of international students towards the university cafeteria in order to create student satisfaction. The aim of this study was to identify the perception of international students towards the university cafeteria, and this paper explored four research questions in order to identify the factors affecting it. The findings of this paper included a list of factors such as food quality, choices and sanitation, price, ambience and facilities and service quality of the cafeteria. This research significantly enabled the foodservice operators to gain deeper knowledge about the factors that influence the perception of international students towards the university cafeteria, which can meet the quality standards of the university.

• Food Science of Animal Resources
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• v.38 no.4
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• pp.653-663
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• 2018

Lamb has long been considered a traditional meal within Australia; however as consumer preferences have changed since the 1950's, consumption of lamb has decreased from the 1980's. This is the result of changing societal roles, particularly for females, decreasing household sizes and increasing awareness of the impact of food choices on human health. Since the 1980's improvement of farm practices and increases in genetic gains has addressed part of this decline by increasing the amount of lean meat and decreasing fat in lamb retail cuts. Yet, this has created a challenge for the industry to utilise the larger carcases now being produced. Thus, a whole value chain approach to increasing consumption has been undertaken through several research programs to create cuts which suit the modern consumer, examine nutritional and eating quality and increase adoption of value added cuts. Therefore, this paper outlines this history of changing consumer patterns and the consequent research to address these changes.

• Nutrition Research and Practice
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• v.5 no.5
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• pp.481-488
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• 2011

Street vended food (SVF) includes food and beverages prepared and sold outdoors or in public areas by street merchants for consumption on the scene or later without further preparation. Due to its low price and convenience, SVF has been popular in Korea for a long time, particularly with high school students. Beyond Korea, SVF is also popular in southeast Asia and southern Africa in the form of ready-to-eat food. This study on high school students, who are main consumers of SVF in Korea, focused on the factors that affect consumer loyalty. The study was performed by questionnaire and used AMOS software to develop a structural equation model. The results of verifying the model's fidelity were $X^2$=685.989, df=261, GFI=0.851, AGFI=0.814, NFI=0.901, CFI=0.907, RMR=0.048, indicating a satisfying structural model. SVF quality and service, emotional response, and the physical environment had a statistically significant effect on consumer loyalty. In contrast, SVF sanitation had no statistically significant effect on consumer loyalty. Based on these results, the sanitary management of SVF needs to be addressed immediately combined with education for SVF providers to maintain a clean environment.

• Journal of Community Nutrition
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• v.3 no.1
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• pp.30-35
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• 2001

The purpose of this study was to determine the effect of nutrition instruction using a curriculum guide on nutrition knowledge attitudes and food behaviors of students in a junior high school home economics course. We used three instruments co collect data: a nutrition knowledge test, a food and attitude instrument containing four scales, and a two-part food behavior assessment form A quasi-Solomon four -groups experimental design was used One experimental group was pretested taught nutrition via the curriculum, and posttested A Second experimental group which was not pretested was taught nutrition via the curriculum and posttested One control group was pretested and posttested and a second control group was only posttested Neither control group receive food and nutrition instruction until after the study was complete The results indicate that the experimental group had significantly improved knowledge scores and improved attitude scores on the scale entitled Eating New Foods Nutriton Affects Health Caring about Nutrition Significant changes were observe in posttest scores on the food behavior assessment form Key findings useful in understanding the impact of education on adolescent food choices were that 1) study participants nutrition knowledge improved 2) their attitudes toward nutrition became more positive 3) their intention to include more high-nutrient foods in their diet increased significantly.

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.82-93
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• 2022

The food service industry is a major driver of global sustainable food consumption. By understanding food consumption behavior, restaurant managers can forecast demands and reduce pre-consumer food waste. This study investigates the relationship between influencing factors and the number of customers at restaurants and cafés. These factors are weather-related factors, including rain and temperature, and school-related factors, including exams and the day of the week. Based on these four factors, 24 possible combinations were created. Three representtive days were chosen for each weekday combination. Besides, one representative day was chosen for each weekend combination. In total, 48 days were sampled throughout the year. Customer data were collected from six restaurants and cafes on a Korean university campus. Conjoint analysis was used to determine the relative importance of each variable to customer numbers. Following that, utility scores were standardized and mapped to determine the best condition when the number of customers was at its peak. In addition, each store's sales were compared using Pearson's Correlation Coefficient. The findings support that temperature and rain influences are correlated with the number of customers. Furthermore, we discovered that temperature was far more significant than rain in determining the number of customers. The paper discusses the implications of weather to forecast food and beverage demand and predict meal choices.

• The Korean Journal of Community Living Science
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• v.16 no.4
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• pp.115-123
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• 2005

This study was performed to compare dietary behaviors based on residence types of female college students. Self reports on dietary behavior and one-day dietary records were obtained from 227 female college students using anonymous questionnaires. The mean age of the subjects was $20.4{\pm}1.43$, and the height and weight were $162.5{\pm}4.8cm$ and $52.3{\pm}7.9kg$, respectively, The dietary behavior of female college students was inadequate, showing indifference to dietary balance, irregularity of meals, skipping breakfast, and high experience of drinking. One-day dietary records were obtained from 24k recall methods also showed a high number registering skipped meal status ($55.3\%$) and less diverse food intake (DVS, 12.5; DDS, 3.93). The students in self boarding residence were especially more likely not to eat properly and their dietary behaviors were found to be significantly poor. In the case of home residence, food intake frequency scores for milk and dairy products, fruits, and fishes were significantly higher, however the students in self boarding residences showed high food intake frequency scores in salted food, retort food, canned food, and especially instant ramyun. Therefore, more attention needs to be given to them to recognize the problems in their own dietary behaviors and more practical nutritional supports, like developing a menu for breakfast in college cafeterias, would be helpful to improve their dietary choices.

• Nutrition Research and Practice
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• v.15 no.sup1
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• pp.70-78
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• 2021

BACKGROUND/OBJECTIVES: The recent coronavirus disease 2019 pandemic has brought to light issues regarding personal and environmental cleanliness. Individuals may have concerns about cleanliness at food service establishments when they consume food prepared at a restaurant. In Korea, a new restaurant hygienic certificate system was implemented in 2017. The effect of this new system has not been evaluated. SUBJECTS/METHODS: This study investigated consumers' perceptions of these new certificates using the protection motivation theory (PMT). An online survey was conducted to collect data and then exploratory factor analysis, analysis of variance, and multiple regression tests were run. RESULTS: The results of this study indicate that 3 different certificates had significant differences in threat (P < 0.001) and benefit (P < 0.001) perception. However, experience with a foodborne illness from a restaurant did not effect on the PMT variables. In addition, the 3-tier certificate did not motivate consumers to protect themselves against foodborne illnesses, while previous experiences of foodborne illness (P < 0.05), coping (P < 0.001), and benefits (P < 0.01) affected this protection motivation. CONCLUSIONS: This study suggests that consumers were not influenced by different certificate levels regarding their motivation to protect themselves from foodborne illnesses. Therefore, an improved plan should be initiated to clarify the meaning of these certificates. The results of this study can help the application and development of a new system for future adaptations.

• Journal of Distribution Science
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• v.22 no.4
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• pp.91-104
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• 2024

Purpose: The study aims to assess the current status of domestic public food delivery apps and analyze the process through which sellers choose between private delivery apps and public delivery apps. This involves exploring strategiesto achieve the original purpose of public food delivery apps, which is to enhance the small business owners income and promote consumer welfare by preventing the monopoly of private food delivery apps. Research design, data and methodology: the research methodology is based on a model that introduces adjustments for non-economic effects, considering the preferences of multi-homing consumers, to more realistically reflect the benefits of sellers' choices. For data analysis, real business performance data from 'Daeguro', 'Meokkaebi', and 'Somunnan Shop' were used. Results: The study revealed that if the market share of public delivery apps within a specific region increases beyond a certain level, the benefits for small-business sellers also increase. This leads to the strategic advantage of simultaneously using both delivery apps. Furthermore, the results exhibit a tendency similar to real social phenomena. Conclusions: This analysis confirmed the role of public food delivery apps in the domestic delivery app market and presents policy recommendations, including application integration and the implementation of exclusive public interest functions, to effectively fulfill this role.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.33-42
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• 2022

One of the most pressing socioeconomic problems confronting humanity on a worldwide scale is food security, particularly in light of the expanding population and declining land productivity. These causes have increased the number of people in the world who are at risk of starving and have caused the natural ecosystems to degrade at previously unheard-of speeds. Happily, the Internet of Things (IoT) development provides a glimmer of light for those worried about food security through smart agriculture-a development that is particularly relevant to automating food production operations in order to reduce labor expenses. When compared to conventional farming techniques, smart agriculture has the benefit of maximizing resource use through precise chemical input application and regulation of environmental factors like temperature and humidity. Farmers may make data-driven choices about the possibility of insect invasion, natural disasters, anticipated yields, and even prospective market shifts with the use of smart farming tools. The technical foundation of smart agriculture serves as a potential response to worries about food security. It is made up of wireless sensor networks and integrated cloud computing modules inside IoT.

• The Korean Journal of Food And Nutrition
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• v.21 no.1
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• pp.97-105
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• 2008

An IPA model was used to evaluate customer service encounters at a large food court; also the gaps between importance and performance from were also evaluated from both perspectives. The findings of this study will be applied in order to improve service quality at various large food service operations. A total of 298 customers from a large shopping mall food court completed the study questionnaire, asking them to evaluate the important and performance attributes of service. Seven underlying dimensions were identified and labeled by factor analysis: factor 1 was "safety": factor 2 "time": factor 3 "atmosphere": factor 4 "quality of food": factor 5 "menu attributes": factor 6 "comfort": and the last and seventh factor was "comprehension". As a result of IPA analysis the overall mean scores between the importance attributes and performance attributes showed significant differences by independent t-tests(p<0.001). Quadrant I was classified with unnecessary items including interior design, proper lighting, suitable chairs, and proper room temperature. In quadrant II thirteen variables showed high scores for both importance and performance, such as various menu choices, hygienic food, dishes, chairs, food court, kitchen, and employees; proper ventilation, employee kindness, waiting time to order, and received food; automatic system for ordering-serving. Quadrant III included eight variables identified as low priority, including appearance of food, nutrient content of food, proper portions, new menu, proper music, proper location of cashier, services for children and efficiency of movement. In quadrant IV six variables were included as areas to focus management's efforts, such as food taste, proper food temperature, use of safe food materials, maintenance of food quality, existence of preferred foods, and proper food prices. These results suggest that food court customers have interests that are distinct from restaurant customers and may need to be treated differently. It is anticipated that this data will be useful to the foodservice industry in order to segment customer characteristics by different dinning behaviors.