• Information Systems Review
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• v.20 no.1
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• pp.1-16
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• 2018

The development and generalization of the Internet increased the popularity of food delivery service applications in Korea. The food delivery market based on online-to-offline service is growing rapidly. This study compares the usability of Korean food delivery service application between that of Chinese food delivery service application. This study suggests improvement points for Korean food delivery service applications. To conduct this study, we explore the status of various food delivery service applications and conduct interviews and surveys based on the honeycomb model developed by Peter Morville. This study obtained the following results. First, all restaurants participating in the Korean food delivery service must be able to accept order through the application. Second, the shopping cart function must be able to accept order of all restaurants simultaneously. Third, when users look for menu recommendation, their purchase history and shopping cart functions should appear at the first page of the website. Users should be able to perceive the improved usability of the website using those functions. Fourth, when the search window is fixed on the top of each page, users should be able to find the information they need. Fifth, the application must allow users to find the exact location of the delivery person and the estimated delivery time. Finally, the restaurants'address should be disclosed and fast delivery time should be confirmed to enhance users'trust on the application. This study contributes to academia and industry by suggesting useful insight into food delivery service applications and improving the point of food delivery service application in Korea.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.67-78
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• 2012

Recently, the interesting of customers in online auto insurance is rapidly increasing. The one of major reasons is economical benefit. offline auto insurance products as a service formed high price. However, online auto insurance relatively formed low price. Thanks to these characteristics of online auto insurance has gained great popularity. Therefore, in purchasing online auto insurance, consumers carefully buy products of auto insurance. In this study, we classified the $2{\times}2$ matrix (online preference group, economic pursuit group, convenience oriented group, and carefulness approach group) in online auto insurance consumers focusing on the perceived benefits and price acceptance. From an economic point of view of consumers around the perceived benefits and price acceptance, we analyzed the relationships among easy of use, usefulness, attitude, and purchase intention in automobile e-shopping mall. The results of this study will provide the useful implications for the planing CRM(customer relationship management) strategy for improving purchase intention of customers to online insurance companies.

• Journal of the Korean Society of Costume
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• v.66 no.3
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• pp.75-92
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• 2016

The purpose of this study was to prove how sociocultural perspective of obesity, differences in consumers' perception of body and attitudes of accepting obesity affected individuals' clothing behaviors through cross-cultural studies. The data collected were composed of 612 Korean and US consumers in the 20's and 30's that had experiences in purchasing plus-size products. The results were as follows. First, BMI index was lower in Korean consumers than the US consumers, but Korean consumers received more stress from being overweight compared to the US consumers, and had a more negative attitude about their body. Second, although Korean consumers had lower BMI index and degrees of obesity than US consumers, they were severely stressed by obesity and were found to have a higher level of dissatisfaction with their bodies. Third, Korean consumers responded more sensitively to obesity and had a tendency to display a more negative attitude regarding obesity, and a more passive dependence on clothing. Forth, differences in the body shape were reflected even in wearing evaluation, and US consumers showed a more positive attitude toward evaluations of size suitability and fitness. Fifth, the plus-size market for Korean consumers was still not active, and most products purchased were generic brands obtained from online shopping malls through the Internet. However, in the case of the US, in which the ratio of obese people is high and the plus-size market is growing, consumers were purchasing plus-size brands through various distribution online and offline channels. Sixth, Korean consumers were less satisfied than US consumers with shops, sizes and fitness; however, they were more satisfied with design factors. Finally, it is expected that this study can offer practical implications for marketers and product developers running plus-size market for young obese consumers in their 20 and 30s.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3D
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• pp.275-281
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• 2012

The aim of this study is to suggest the development direction of future space management. It is not a simple question that why people visit specific place. People visit a place for escape from routine, to learn from other people, spend a time with their friends or lover, to take a rest and get some fresh idea, to relieve stress, and for shopping. It is depend on a various visit motivation with complicated a psychological phenomenon. Visitor participate in choice a specific place by various motivation and purpose. Generally, visitor motivation accepted understanding visitor behavior and process of selected a place. Understanding that why people visit specific place can use a marketing and policy making of visit place so we need to study about visitor motivation. Data were collected through offline surveys from 501 people who have visited four survey place. Empirically analyzed the determinations of visitor motivation and estimate the place by using Ordinal Logit Model.

• Knowledge Management Research
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• v.21 no.1
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• pp.197-210
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• 2020

The smart speaker includes an AI assistant function in the existing portable speaker, which enables a person to give various commands using a voice and provides various offline services associated with control of a connected device. The speed of domestic distribution is also increasing, and the functions and linked services available through smart speakers are expanding to shopping and food orders. Through text mining-based customer review analysis, there have been many proposals for identifying the impact on customer attitudes, sentiment analysis, and product evaluation of product functions and attributes. Emotional investigation has been performed by extracting words corresponding to characteristics or features from product reviews and analyzing the impact on assessment. After obtaining the topic from the review, the effect on the evaluation was analyzed. And the market competition of similar products was visualized. Also, a study was conducted to analyze the reviews of smart speaker users through text mining and to identify the main attributes, emotional sensitivity analysis, and the effects of artificial intelligence attributes on product satisfaction. The purpose of this study is to collect blog posts about the user's experiences of smart speakers released in Korea and to analyze the attitudes of customers according to their attributes. Through this, customers' attitudes can be identified and visualized by each smart speaker product, and the positioning map of the product was derived based on customer recognition of smart speaker products by collecting the information identified by each property.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.243-258
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• 2012

The G2B system is one of the important information systems in the e-government implementation. It is difficult to measure the cost reduction effect of the system introduction because there are many participants in the complex procurement processes. Previous approaches of the performance evaluation of such processes have been based on conducting some surveys and interviews with statistical methods. Therefore there have been some limitations in the verification of feasibility. Therefore this study tries to suggest a case of performance evaluation about the cost reduction in using of the G2B system by analyzing operational DB data from the G2B system. This study analyzed the procurement processes of G2B system according to 'goods' and 'facilities/services' and classified the procurement processes into 12 sub-processes. By developing an evaluation model for the cost reduction of e-procurement, we derived the whole cost reduction effect was 8,000 billon Won for the use of Korea KONEPS G2B system in 2008. Specially the cost reduction in the private sector was 6,600 billion Won. It was mainly due to the decrease of the offline visits to the related organizations to participate a bidding process. Moreover, the cost reduction of using shopping mall was 1,000 billion Won among the total 1,400 billion Won in the whole public sector. The main contribution of this paper is to show the more objective evaluation result of the use of e-procurement, which verifies the necessity of G2B system.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.2
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• pp.169-174
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• 2003

The trial and success of malicious cyber attacks has been increased rapidly with spreading of Internet and the activation of a internet shopping mall and the supply of an online, or an offline internet, so it is expected to make a problem more and more. The goal of intrusion detection is to identify unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators in real time. In fact, the general security system based on Internet couldn't cope with the attack properly, if ever. other regular systems have depended on common vaccine softwares to cope with the attack. But in this paper, we will use the positive selection and negative selection mechanism of T-cell, which is the biologically distributed autonomous system, to develop the self/nonself recognition algorithm and AIS (Artificial Immune System) that is easy to be concrete on the artificial system. For making it come true, we will apply AIS to the network environment, which is a computer security system.

• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.51-56
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• 2020

In this paper, we developed a mobile new media solution that enables e-commerce shopping mall operators, band operators, and YouTube creators to create synergies in online and offline promotion by posting related video contents on the media in addition to their own videos. By providing videos in the field of the platform without directly searching for them, it is possible to provide users with a new type of marketing means that can promote their platform while providing interest and information. Prospective creators at home and abroad who produce video can upload their own video in addition to YouTube and afreeca TV, such as the open market for video, and use independent and free charging systems to manage independent customer relationship management(CRM), self-branding, and content management. It will be possible to utilize mobile-based new media equipped with a system.

• Journal of Digital Convergence
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• v.10 no.7
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• pp.85-92
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• 2012

To the development of IT technologies, online shopping is implemented in various forms ranging from desktop environment to smartphone, and also variety of items are being sold. In addition, various type of online sales from that can not seen in offline like sales a one products per one day. In this type of sales, competition is extremely intensified and among those in the differentiated features are hold competitiveness. In this paper, we design and develop the site that adopts the online marketing technique - sale only one kind of product a day for increasing the sales revenue. To do this, in traditional commercial sites, we develop the marketing strategy, and information placement is emphasized site based on analysis of the daily product site planning and so that costumers are concentrated the products that did not interested. Though which customers to target specific items one day for some items and increasing publicity would help the sales increase is expected.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.185-190
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• 2006

Most systems in ubiquitous computing analyze context information of users which have similar propensity with demographics methods and collaborative filtering to provide personalized recommendation services. The systems have mostly used static context information such as sex, age, job, and purchase history. However the systems have limitation to analyze users' propensity accurately and to provide personalized recommendation services in real-time, because they have difficulty in considering users situation as moving path. In this paper we use users' moving path of dynamic context to consider users situation. For the prediction accuracy we complete with a path completion algorithm to moving path which is inputted to RSOM. We train the moving path to be completed by RSOM, analyze users' moving pattern and predict a future moving path. Then we recommend the nearest product on the prediction path with users' high preference in real-time. As the experimental result, MAE is lower than 0.5 averagely and we confirmed our method can predict users moving path correctly.