• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.484-491
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• 2021

This study was undertaken to identify success factors of traditional market delivery apps and lead digital transformation of traditional markets. The success factors of traditional market delivery apps are represented by four variables: system characteristics of the app, delivery, products, and responsibility towards customer responses. These factors were analyzed to examine their impact on the operations performance. Data was collected by surveying 148 traditional market business owners. Results of the empirical analysis revealed that the app system characteristics, delivery characteristics, and product sales promotion, impart a significant effect on the operations performance. Conversely, the customer response characteristics showed no significant effects. This could be because some apps lack the function to check customer reviews and respond appropriately. Currently, where traditional market delivery apps are in the early stages of implementation and are gradually expanding, data obtained from this study helps to identify characteristics of traditional market delivery apps, and offers suggestions to create development indicators of the traditional market delivery apps by analyzing their effects on operational performance, thereby contributing to the revival of traditional markets through digital transformation.

• Journal of the Korean Applied Science and Technology
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• v.39 no.5
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• pp.692-700
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• 2022

In this study, the effect of e-service quality of O2O cosmetic delivery service app on satisfaction and loyalty was investigated. To this end, a total of 210 questionnaires were collected and frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, and regression analysis were performed using the statistical package SPSS 25.0. The main results are as follows. Efficiency, order fulfillment, system availability, and privacy, which are components of O2O cosmetic delivery service app e-service quality, all had a significant effect on satisfaction and loyalty. Also, satisfaction was found to have a significant effect on loyalty. In order to increase the number of consumers who use the O2O cosmetic delivery service app, it is necessary to increase the availability and efficiency of the system, which has the greatest impact on satisfaction and loyalty. To this end, it is necessary to provide a comfortable environment without interruption and fast access while using the O2O cosmetic delivery service app, and to build a system so that it can be used efficiently.

• 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.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.440-448
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• 2017

This study aims to determine the factors affecting people's intention to use mobile delivery application services. The technology acceptance model (TAM) was employed and a survey was conducted on 300 delivery application users. As a result, personal innovativeness was found to have a positive effect on perceived ease of use and perceived playfulness. Self-efficacy turned out to have a positive influence on perceived ease of use and perceived playfulness. Next, perceived ease of use was found to positively affect both perceived usefulness and perceived playfulness, and perceived usefulness and playfulness had a positive effect on the intention to use the service as well. Lastly, personal innovativeness and self-efficacy were found to have a significant indirect influence on the intention to use the service. This study suggests users can be induced to voluntarily and continuously use the service, if their personal characteristics and perception of the service are considered in the future development of the service.

• 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 Service Research and Studies
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• v.13 no.2
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• pp.1-23
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• 2023

In this study, we try to discover some success factors, for the entire value chain of the O2O food delivery industry in China, from ordering to delivery. We study the influence of three aspects of the value chain, namely, (1) the mobile platform, (2) the restaurant and food and (3) the delivery service, on the perceived value and repurchase intention of customers. Using structural equation modeling, we develop a structural research model with seven sets of hypotheses relating various independent variable constructs (platform, restaurant, and delivery) and dependent constructs (perceived value and repurchase intention). We find that usefulness of mobile app, the food condition and the availability of offline restaurants were significant antecedents for perceived value and repurchase intention. In addition, fair pricing was a significant antecedent for repurchase intention.

• The Korean Journal of Food And Nutrition
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• v.31 no.1
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• pp.185-194
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• 2018

The purpose of this study was to investigate the structural relationship between environmental factors, personal factors, ease of use, usefulness and behavioral intention of delivery application by applying the extended Technology Acceptance Model (TAM). An online survey was conducted based on a self-administered questionnaire to a selected sample who had an experience of using delivery application at least once. The survey was conducted in September, 2017. The data obtained was analyzed using SPSS 24.0 for windows and AMOS 24.0. The findings of the study showed that among environmental factors, social influence had a significant effect on perceived usefulness and perceived ease of use and facilitating conditions had a significant effect on perceived ease of use only. Among personal factors, anxiety had a significant effect on perceived usefulness, while innovation had a significant effect on perceived ease of use. Both of perceived usefulness and perceived ease of use had a significant effect on behavioral intention. This study suggests the importance of environmental and personal factors for increase of behavioral intention of delivery application.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.41-45
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• 2019

The 1-serving lunchbox app is designed and developed for enabling consumers to order their lunch box by choosing their own lunch side dishes. In modern society, one-person households are growing in larger areas. It is too burdensome to handle alone because it is cumbersome to cook alone and you should order from two people in a restaurant shop. To resolve such inconveniences, it is an app to choose various detailed menus and order personalized lunches. In the process of selecting a detailed menu, information provided by big data is used. You can use the existing order through the bookmark function, or you can use the recommended lunch menu using big data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.936-938
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• 2015

Most of the 20 ages chicken consumption is Over the years 1 furniture is the ratio increased, eating a meal delivered, more alone. By using this application, 20s not only 30s 40s, etc, beautiful anyone through the medium of chicken share the same hobbies and look for comrades, enjoy your favorite hobby, encounter and social community for operating purposes.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.253-256
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• 2023

코로나 바이러스 감염증-19(COVID-19)의 유행으로 인해 배달업과 택배 쇼핑몰의 수요가 증가하였다. 본 연구는 쇼핑몰을 만드려는 소상공인들의 증가하는 추세에 맞는 앱 개발을 하기 위해 관리자 페이지에서 쉽게 재고 조작과 회원 관리, 문의 해결, 글 쓰기 등이 가능하면서 보안이 유지되는 관리자 페이지를 주기능으로 개발하였다. 이를 바탕으로 누구나 쉽게 쇼핑몰을 관리하여 경제의 활성화에 기여할 것으로 기대된다.