• Journal of Dairy Science and Biotechnology
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• v.38 no.4
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• pp.189-196
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• 2020

Milk proteins, such as casein and whey protein, exhibit significant potential as natural emulsifiers for the preparation and stabilization of emulsion-based delivery systems. This can be attributed to their unique functional properties, such as the amphiphilic nature, GRAS (generally recognized as safe) status, high nutritional value, and viscoelastic film-forming ability around oil droplets. In addition, milk protein has been used as a coating material in emulsion-based delivery systems to protect bioactive compounds during food processing and storage owing to its unique functional properties. These properties include the ability to bind lipophilic bioactive compounds and antioxidant activity. In this review, we present the use of milk proteins as emulsifiers for the formation of emulsions and food applications of milk protein-stabilized emulsion delivery systems.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.581-592
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• 2019

This study investigates the factors that stimulate or suppress the use of food delivery applications. As potential antecedent factors, the present research examined the review diagnosticity, descriptive norms, and multidimensional risk perception. Based on this, users' data were collected from major metropolitan cities where the food delivery application business is most active. The results of structural equation modeling confirmed that users' approach to food delivery apps becomes more favorable when the review diagnosticity and descriptive norms were improved and when the perceived multidimensional risk expected to be associated with app use is mitigated. Additionally, we found that the positive influence of these attitudes on the actual intention to accept delivery applications became weaker at higher levels of perceived risk. These empirical results may contribute to the formation of strategic and systematic guidelines for promoting the expansion of the recently emerging O2O service platform across diverse sectors. Namely, the significance of this study lies in that it has raised awareness regarding the strategic considerations that such new O2O service providers should take into account for their market positions, in addition to discovering factors that could aid the prompt expansion of the applications' user base.

• Journal of Smart Tourism
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• v.4 no.2
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• pp.25-33
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• 2024

This study examines the factors influencing the use of mobile food ordering applications and their impact on consumption behavior amidst recent societal changes. It re-evaluates the relevance of factors from the UTAUT2 theory in predicting customers' behavioral intentions. Additionally, the study explores the moderating effect of confidence in food safety measures (CFSM). Quantitative research methods are employed. A structured questionnaire that measures the psychological factors, behavioral intention, and actual usage of mobile food ordering applications was used to collect customer data. Regression and moderation analyses are conducted to test the hypotheses and examine the moderating role of CFSM. The findings reveal that performance expectation, effort expectation, and habit significantly predict customers' intention to use mobile food ordering applications. Moreover, for customers with high CFSM, social influence, facilitating conditions, and hedonic motivation add additional contributions to their behavioral intention. This study extends the UTAUT2 theory by applying it to mobile food ordering applications and examining the influence of CFSM. It identifies the specific factors that drive customers' intention to use these applications and highlights the importance of CFSM as a moderating factor. The findings offer theoretical insights and practical implications for researchers and practitioners in the mobile food ordering industry.

• Journal of the FoodService Safety
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• v.4 no.2
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• pp.48-54
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• 2023

The study explores the impact of nutritional information on calorie prediction and purchase intent. Administered through self-report questionnaires, the research employs two types of stimuli to assess the influence of nutritional information. Hamburger set images, with or without accompanying nutritional details, were randomly presented to simulate the prevalent mobile app environment for fast-food delivery. Respondents were tasked with predicting calorie content and indicating purchase intent on a Likert 7-point scale. Results show a significant difference in calorie prediction based on the presence of nutritional labeling. While consumers expect positive health effects by estimating more exact calorie information with nutritional labeling, it doesn't significantly influence purchase intent. The study also examines consumer awareness and preferences regarding nutritional labeling policies, emphasizing the need for education and promotion. Most participants recognize the necessity of mandatory nutritional labeling in fast-food establishments, especially through delivery applications, to support healthier choices and prevent obesity.

• Journal of the Korean Society of Safety
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• v.37 no.1
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• pp.70-77
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• 2022

The total number of Korean restaurants using delivery applications has substantially increased from 7.6% in 2018 to 11.2% in 2019. In 2020, the gross sales in the food delivery service market reached approximately 17 trillion won; this amount is virtually six times that in 2017 (i.e., 2 trillion won). Meanwhile, the annual average death toll of motorcycle riders increased by 3.5%, whereas the number of deaths due to other traffic accidents decreased by 8.2%. Consequently, the foregoing has become a critical social problem. Despite the continuing increase in the number of delivery riders due to the rapid expansion of the delivery industry, no appropriate safety management system has been established. Moreover, the government is experiencing difficulties in assessing the exact situation because of the absence of competent authority. In this study, fundamental data on the characteristics of delivery work and motorcycle accidents were collected through surveys and interviews; then, the influencing factors of traffic accidents were analyzed. Different influencing factors were identified: work experience as a rider; number of deliveries; whether to accept delivery requests in transit; manner of accepting delivery requests; and traffic law violations, such as speeding (for faster delivery) and running a red light. Because the motorcycle delivery industry has a relatively low job-entry barrier (i.e., special qualifications are not required), the riding skills of riders must be improved, and delivery companies must be technically developed to achieve a safe working environment. The results of this study can be utilized as fundamental data for system development or structural improvement of the delivery industry.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.503-515
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• 2016

The branded contents include various advertisements showing brand storytelling. A new mobile application service market for food delivery uses branded contents to become familiar with consumer in the beginning and built unique brand image in comparison with a rival company in the time of elaboration. This study analyzed the narrative type and structure of brand storytelling in branded contents of the three representative applications, 'Baedal Tong', 'The ethnic of Baedal', and 'Yogiyo'. Still a few study has researched the narrative type and structure of brand storytelling though different effects as narrative type. This paper divided four types of brand storytelling as the roll of brand through typology of Northrop Frye, romance, comedy, tragedy, and irony & satire. And it analyzed the narrative type and structure of branded contents of the three applications using these types and researched strategy in each time. The various narrative types beyond classical romance type are effective for brand positioning though market enter moment. This study will be helpful for the research about narrative strategy of branded contents.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.27-27
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• 2017

Biocompatible capsules have recently been highlighted as novel delivery platforms of any "materials" (e.g., drug, food, agriculture pesticide) to address current problems of living systems such as humans, animals, and plats in academia and industry for agriculture, biological, biomedical, environmental, food applications. For example, biocompatible alginate capsules were proposed as a delivery platform of biocontrol agents (e.g., bacterial antagonists) for an alternative to antibiotics, which will be a potential strategy in future agriculture. Here, we proposed a new platform based on biocompatible alginate capsules that can control the movements as an active target delivery strategy for various applications including agriculture and biological engineering. We designed and fabricated large scale biocompatible capsules using alginates and custom-made nozzles as well as gelling solutions. To develop the active target delivery platforms, we incorporated the iron oxide nanoparticles in the large scale alginate capsules. It was found that the sizes of large scale alginate capsules could be controlled via various working conditions such as concentrations of alginate solutions and iron oxide nanoparticles. As a proof of concept work, we showed that the iron oxide particles-incorporated large scale alginate capsules could be moved actively by the magnetic fields, which would be a strategy as active target delivery platforms for agriculture and biological engineering (e.g., controlled delivery of agriculture pesticides and biocontrol agents).

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.231-238
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• 2021

In this paper, we suggest a method of analysis for daily food delivery & consumption trends through big data of the post-Covid-19 era. Through analysis of big data and the database system, four analyzed factors, excluding weather, was proved to have significant correlation with delivery sales for 'Baedarui Minjok' of a catering delivery application. The research found that KBS, MBC and SBS Media showed remarkable results in food delivery & consumption sales soaring up to about 60 percent increase on the day after the Covid-19 related new article was issued. In addition, it proved that mobile media and web surfing were the main factors in increasing sales of food delivery & consumption applications, suggesting that viral marketing and emotional analysis by crawling data from SNS used by Millennials might be an important factor in sales growth. It can contribute the companies in the economic recession era to survive by providing the method for analyzing the big data and increasing their sales.

• The Korean Journal of Food And Nutrition
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• v.23 no.4
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• pp.470-477
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• 2010

The purposes of this study were to identify the evaluation categories, areas, attributes of the hospital food service and to define the relative importance of the evaluation categories, areas, attributes of the hospital food service using analytic hierarchy process. A survey was conducted from January 8th to 25th in 2007. Questionnaires were mailed to the 310 directors of dietetic departments of hospitals that included 160 primary hospitals, 107 secondary hospitals, and 43 tertiary hospitals. The result of the analytic hierarchy process indicated that relative importance of evaluation category was 0.5259 for food service management and 0.3407 for nutrition care. The food service management consisted of four subcategories, which are equipment standard, sanitation, production, and delivery service. Sanitation(relative importance: 0.2652) was the most important area among the subcategories and it was followed by equipment standard(0.2067), delivery service(0.1864) and production(0.1848). The nutrition care has two subcategories, menu management and meal management. The relative importance of menu management(0.4174) was higher than that of meal management(0.3555). The quality of food service and nutrition care to inpatients can be improved by the evaluation system based on appropriate applications of the developed evaluation indicators for hospital food service systems.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.977-990
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• 2015

Food delivery services are well developed in the Republic of Korea, The increase of one person households and the success of app applications influence delivery services these days. We consider a prediction model for the food delivery service based on weather and dates to predict the number of food delivery services in 2014 using various data mining techniques. We use linear regression, random forest, gradient boosting, support vector machines, neural networks, and logistic regression to find the best prediction model. There are four categories of food delivery services and we consider two methods. For the first method, we estimate the total number of delivery services and the posterior probabilities of each delivery service. For the second method, we use different models for each category and combine them to estimate the total number of delivery services. The neural network and linear regression model perform best in the first method, this is followed by the neural network which is the best for the second method. The result shows that we can estimate the number of deliveries accurately based on dates and weather information.