• Information Systems Review
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• v.24 no.3
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• pp.43-68
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• 2022

With the growing demand for online food delivery (OFD) services via Online to Offline (O2O) platforms, it is required for academic researchers to identify the success factors of OFD businesses. In line with this, this research examines the impact of the core service attributes of a restaurant (hygiene, interactivity, trust,and popularity) on business success in the OFD platform context from the perspective of information asymmetry. Furthermore, the moderating effects of hygiene factor between the core service attributes and the success of restaurants are evaluated. We utilize 1,146 restaurants registered on the largest OFD platform in Korea. The results of this study demonstrate that hygiene (certification), trust (franchise), popularity (favorite) factors have positive impacts on the success of OFD businesses. Moreover, we find that franchise restaurants with high response rates to customer reviews and inquiries achieve higher sales when they have hygiene certifications than those without the certification do. The key findings bear significant contributions to prior literature by empirically substantiating the pivotal role of service quality signals in fostering restaurant success on the OFD platforms. In addition, this study provides business implications for restaurants in O2O platform.

• The Journal of the Convergence on Culture Technology
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• v.3 no.2
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• pp.31-35
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• 2017

Recently, Many deliveries have sprung up and those are beginning to receive much attention from consumers. Like this, the application makes our lives more comfortable. Now, the delivery food application uses only static information of the user and the users only makes oder. In this thesis, however, the studies suggested that designed food application uses the user's location for mesuring a distance of delivery and estimated arrival time is displayed in the delivery application and The application provides a graphical view of the location of the user in real time.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.239-250
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• 2018

This study focus on analyzing the factors which influence the customer satisfaction of food delivery application and its degree of the influence on the quality satisfaction both with Korean and Chinese customers. For this purpose, the model of hypothetical structure was established through the mobile internet service quality measurement was called as MOBISQUAL. As a result, the Korean customers was confirmed that the fulfillment and playfulness as the subdimension of outcome quality both have a positive effect on customer satisfaction. And the Chinese customer was confirmed that the playfulness of outcome quality, personalization of contextual interaction, design, ease of use and security of servicescape quality affected customer satisfaction positively.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.175-184
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• 2022

This study investigates the impact of COVID-19 anxiety on dietary lifestyle and the effect of different dietary lifestyle on the intention to use drone food delivery services. A questionnaire survey was conducted among 356 Chinese consumers aware of drone food delivery services. Results show that First, COVID-19 anxiety significantly impacted dietary lifestyle, including health pursuit, safety pursuit, and convenience pursuit. Second, the dietary lifestyle of health pursuit, fashion pursuit, and convenience pursuit positively affected service perceptions, including perceived safety and perceived rapidity, perceived compatibility. The dietary lifestyle of taste pursuit positively associated with safety of drone food delivery service, while the dietary lifestyle of safety pursuit positively related to safety and rapidity of drone food delivery services. Third, the perceptions related to security, rapidity, and compatibility of drone food delivery services enhanced service usage intention. Results show that COVID-19 anxiety was positively associated with dietary lifestyle, influencing consumer attitudes toward drone food delivery services.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.406-415
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• 2014

In this study, the fast-growing market in the Food Service Industry Study of the delivery service. The first objective of this study is to classify consumers food-related lifestyle and the second is the dimension of the delivery service quality will derive. According to the consumer's food-related life style, make about the consumer's delivery service quality perception and satisfaction to evaluate the differences. Food-related lifestyle 'health seeking type', 'fashion pursuit type', 'type taste pursue', 'seek safety-type', 'seek convenience-type' was separated, cluster analysis 'taste pursuit group', 'high-interest in foods group', 'seek convenience-group' were classified. Delivery service quality 'food quality', 'economic', 'ease of ordering', 'employee quality', 'sanitation', 'order quality' and were classified into six. That of 'food quality' and 'economic' factor were significantly different from the consumer group, but also the 'order quality', 'food quality', 'sanitation' and the order of the large degree of influence on satisfaction, respectively.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.285-286
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• 2022

본 연구는 주문을 하여 배달을 하기 까지 필요한 플랫폼들을 통합하여 더 나은 서비스를 지원하는 시스템이다. 주문이 가능한 주문 어플리케이션, 주문 관리 및 배달 대행 관리가 가능한 포스프로그램, 배달 대행 기사 사용하는 배달 대행 어플리케이션을 설계하였다. 주문 앱을 이용하는 소비자의 입장에서는 합리적인 가격을, 음식 업체 업주의 입장에서는 주문 어플리케이션 플랫폼 이용비 절감하는 효과를 제공한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.974-976
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• 2022

코로나19 확산 이후 온라인 주문 배달 음식 시장 규모가 커짐에 따라 다양한 음식 배달 모바일 플랫폼이 상용화되고 있다. 기존 배달 서비스의 기능 및 사용자 인터페이스(UI)를 분석한 결과, 비시각장애인의 관점에서만 편리성이 확보되고 있다는 것을 파악했다. 또한 시각장애인을 대상으로 한 인터뷰를 통해, 기존 배달 애플리케이션의 복잡한 UI로 인해 많은 시간이 소요된다는 문제점을 알 수 있었다. 이에 본 연구에서는 시각장애인 대상의 인터뷰와 관찰을 기반으로 사용자의 pain point를 극복할 수 있는 사용자 경험 중심의 배달 플랫폼을 개발하고자 한다. 서비스 이용 과정의 간소화, 시각 장애인을 위한 맞춤형 UI 제공, 접근성 강화를 통해 플랫폼 구성을 차별화한다. 이를 통해 시각장애인 사용자의 배달 플랫폼 이용을 수월하게 하고 장애인의 편리한 생활을 보장하기 위한 서비스들이 향후 많이 개발될 수 있도록 동기를 부여한다. 또한, 본 연구를 확장하여 '시각장애인의 키오스크 사용 관련 이슈 해결 방안'을 향후 연구 주제로 제안한다.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.92-101
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• 2019

This study used the Q-method to derive the structure of subjective opinions and perceptions of university students about the behavior of food delivery agency service provided by staff not directly employed in restaurants. For this purpose, the Q factor analysis was performed using the PC QUANL program for the Q-sort, which consists of a statement card, a P-sample, and a classification process. The results were classified into three types. The factor names were set as the first type (N = 7): efficiency seeking type, the second type (N = 19): benefit seeking type, and the third type [(N = 6): cost-effectiveness seeking type. The characteristics of each type are Type 1:Types that recognize aspects that are efficient for both consumers and restaurants, Type 2: Types of recognizing aspects of being benefited from speed, convenience and benefit, Type 3: Although it contributes to labor cost savings, it appears to recognize price and quality aspects in the initial market, which is burdened by consumers. The purpose of this study is to derive the problems of food delivery agency service business according to the three types and to provide strategic implications for the development direction and improvement plan.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.347-349
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• 2022

과열되는 배달 시장의 경쟁 속에서 수많은 배달원이 속도전에 내몰리고 있다. 배달 앱 시장에서는 속도전의 승리를 위해 단건 배달 서비스를 내놓았지만 이러한 배달 경쟁은 배달비 인상으로 이어져 소비자의 부담으로 돌아왔다. 본 논문에서는 배달 업무의 고른 분배를 통해 배달원들의 경쟁을 완화하고 전체 배달 시스템의 처리량과 신뢰도를 향상하고자 하였다. 따라서 목적함수의 최적화와 무작위성이라는 특징을 가진 유전 알고리즘을 활용하여 배달원들 간 배달 업무의 고른 분배를 통해 시스템 성능을 향상시켰다. 실험을 통해 기존의 배치 기법에 비하여 제안 알고리즘에서의 성능이 향상되었음을 확인하였다.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.119-133
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• 2022

One of the most important current features of food related industry is the growth of food delivery service. Another notable food related culture is, with the advent of Youtube, the popularity of Mukbang, which refers to content that records eating. Based on these background, this study intended to focus on two things. First, we tried to see the impact of Youtube Mukbang and the sentiments of Mukbang comments on the number of related food deliveries. Next, we tried to set up the predictive modeling of chicken delivery order with machine learning method. We used Youtube Mukbang comments data as well as weather related data as main independent variables. The dependent variable used in this study is the number of delivery order of fried chicken. The period of data used in this study is from June 3, 2015 to September 30, 2019, and a total of 1,580 data were used. For the predictive modeling, we used machine learning methods such as linear regression, ridge, lasso, random forest, and gradient boost. We found that the sentiment of Youtube Mukbang and comments have impacts on the number of delivery orders. The prediction model with Mukban data we set up in this study had better performances than the existing models without Mukbang data. We also tried to suggest managerial implications to the food delivery service industry.