• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2375-2382
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• 2011

The user clustering for web navigation pattern discovery is very useful to get preference and behavior pattern of users for web pages. In addition, the information by the user clustering is very essential for web personalization or customer grouping. In this paper, an algorithm for clustering the web navigation path of users is proposed and then some special navigation patterns can be recognized by the algorithm. The proposed algorithm has two clustering phases. In the first phase, all paths are classified into k-groups on the bases of the their similarities. The initial solution obtained in the first phase is not global optimum but it gives a good and feasible initial solution for the second phase. In the second phase, the first phase solution is improved by revising the k-means algorithm. In the revised K-means algorithm, grouping the paths is performed by the hyperplane instead of the distance between a path and a group center. Experimental results show that the proposed method is more efficient.

• Journal of the Korean Society of Food Culture
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• v.33 no.4
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• pp.394-401
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• 2018

This study was conducted to investigate the effects of health lifestyle on high protein snack selection attributes and purchase behaviors among individuals aged 20-30 with high protein snack intake. In addition, the relationship between perception, attitude, satisfaction and recommendation of high protein snacks was invested. Finally, this study aims to provide basic information for marketing high-protein snacks and customized high protein snacks. Analysis of the selection attributes most important for healthy lifestyle, revealed significant differences among all groups excluding the external seeking group (p<0.001). The free living group regarded trust as one of the most important attributes of high protein snack selection, and both the tempered control group and the low-interest group found sensation and price factor to be important. Therefore, when developing high-protein snacks, it is important to determine which attributes of the snack will be highlighted by segmenting the consumer into health lifestyles. Focusing on what ingredients are used to develop high-protein snacks and nutritional ingredients is also important when targeting a free lifestyle group as the main customer. In addition, developing snacks that do not offer depending on the protein content is important when targeting a temperate management group or a low-interest group.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.7
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• pp.255-262
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• 2014

Our previous research[1] suggested object extraction and modeling method based on Fillmore's case grammar. This approach had not considered of use case extraction and method. To solve this problem, we adopt Fillmore's semantic method as linguistic approach into requirement engineering, which refine fillmore's case grammar for extracting and modeling use cases from customer requirements. This Refined mechanism includes the definition of a structured procedure and the representation of visual notations for 'case' modeling. This paper also proposes the use case decision matrix to identify use case size from extracted use cases based on goal oriented requirement engineering(GoRE), which related with the complexity of use case, and also prioritizes the use cases with this matrix. It demonstrates our proposal with the bank ATM system.

• Korean journal of food and cookery science
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• v.29 no.2
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• pp.169-175
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• 2013

The purpose of this study was to provide the basic information necessary to efficiently run a coffee shop. It comparatively analyzes the relative importance and satisfaction of side menu selection characteristics through analyses on customer importance-satisfaction when selecting a side menu as well as their usage behavior of the side menu at coffee shops. According to reason price the analysis result on the differences in the coffee shop side menu importance and satisfaction, there was a difference because the importance of selecting a side menu was higher for the attributes of taste, health, packing & appearance, economics and personnel service compared to satisfaction among which the price of a side menu was found to be the top priority for improvement. The significance of coffee shop side menu for the respondents prior to usage as well as their satisfaction after usage was evaluated in order to comparatively analyze the relative importance and achievement of each characteristic through the IPA. The result indicated that the variables positioned in the Concentrate Here area (II) were related to economic feasibility such as reasonable price, appropriate price of set menu, telecommunication company affiliated service and coupon usage and point accumulation. As for the Keep up the Good Work area (I), there were many variables regarding personnel service including taste of side menu, blending with coffee, clean packing, clean packaging, staff's side menu knowledge, staff's quick response, staff's politeness and staff's sincere response. As for the variables in the Low Priority area (III), health variables on health such as nutritional value, eco-friendly food materials and calories were observed.

• Journal of Technology Innovation
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• v.12 no.3
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• pp.1-24
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• 2004

E-Learning is another way of teaching and learning. E-learning is a networked phenomenon allowing for instant revisions and distribution, and goes beyond training and instruction to the delivery of information and tools to improve performance. The benefits of e-learning are many, including cost-effectiveness, enhanced responsiveness to change, consistency, timely content, flexible accessibility, and providing customer value. The proponents of e-learning stress the importance of using communities of interest to support and enhance the learning process. They also emphasizes that people learn more effectively when they interact and are involved with other people participating in similar endeavors. Although the role of e-learning in higher education has significantly increased, the resistance to new technology by professors and lecturers in university and colleges worldwide remains high. The purpose of this study is to identify the determinants of attitude and planned behavior toward e-learning class in universities. A survey methodology was used to investigate a proposed model of influence, and structural equation modeling was used to analyze the results. The hypothesized model was largely supported by this analysis, and the overall results indicate that attitude toward e-learning systems is mostly influenced by the perceived ease of use as well as the level of perceived usefulness, where both factors are influenced by years of experiences in using cyber system and the technical support level. As in other TAM related research, it can be concluded that the perceived ease of use and perceived usefulness contribute to the future use of e-learning system.

• Journal of Fashion Business
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• v.23 no.1
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• pp.25-36
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• 2019

The purpose of this study is to offer a base line data to facilitate entrance of a Korean fashion company into the Uzbekistan market by conducting a survey of the Uzbekistan students in Korea. This is done in order to gather data on their clothes wearing condition and factors affecting the purchase intention for Korean fashion products. In this study, a survey was conducted to 260 Uzbekistan students in Korea. The results of the study were as follows: 1) Uzbekistan students bought clothes mainly from road shops and the Internet. They bought a lot of pants, shirts, jackets, jumpers, and preferred to wear black, white, blue, and red color. The dissatisfactory parts were shown in order of the width of trousers, the length of the sleeve, and the shoulder. The most unsatisfying products were the pants and T-shirt. 2) They considered the aesthetics of the fashion products evaluation criteria, the human source and the internet advertisement of the fashion information source, and the customer service of the store selection criteria. These students showed very favorable attitude towards Hallyu and Korea. In addition, their preference and purchase intention for KFP were high. 3) The level of satisfaction on 'quality', 'color', and 'care' of KFP were very high, but lowest on the 'size' and 'price' of the clothes. 4) It was revealed that the attitude toward Hallyu and Korea, the satisfaction and preference of KFP, and demographics have a significant impact on the intention toward purchasing fashion products.

• Journal of Distribution Research
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• v.12 no.3
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• pp.69-90
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• 2007

This study is set out to investigate the factors that influence customers' behavior of choice and switching between online and offline channels, separating the purchase decision into two stages, i.e., information search and purchase. Factors influencing channel choice are found to differ from stage to stage. The main results of this study are as follows. At the information search stage, customers' channel knowledge had impacts on the choice of the channel. Customers are more likely to visit offline bookstores when they have hedonic shopping orientation and higher involvement level with books. On the contrary, customers are more apt to search online when they have a lot of online shopping experiences. At the purchase stage, the results varied according to the search channel. When customers search for information online, the following variables lead to online purchases: online shopping experiences with books, price-focused shopping orientation, and time availability for shopping. Perceived risk made customers purchase offline even though they searched online. In case of offline searching, customers with more convenience-focused, hedonic-focused shopping orientation and less tim availability purchased offline.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.265-274
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• 2021

In this paper, we propose a novel recommendation model based on Doc2vec using search keywords and product details. Until now, a lot of prior studies on recommender systems have proposed collaborative filtering (CF) as the main algorithm for recommendation, which uses only structured input data such as customers' purchase history or ratings. However, the use of unstructured data like online customer review in CF may lead to better recommendation. Under this background, we propose to use search keyword data and product detail information, which are seldom used in previous studies, for product recommendation. The proposed model makes recommendation by using CF which simultaneously considers ratings, search keywords and detailed information of the products purchased by customers. To extract quantitative patterns from these unstructured data, Doc2vec is applied. As a result of the experiment, the proposed model was found to outperform the conventional recommendation model. In addition, it was confirmed that search keywords and product details had a significant effect on recommendation. This study has academic significance in that it tries to apply the customers' online behavior information to the recommendation system and that it mitigates the cold start problem, which is one of the critical limitations of CF.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.141-158
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• 2017

Along with IT development, customers are getting more easily to express their opinions using various IT channels. In this situation, complaint management is a pressing issue for companies to acquire and maintain loyal customers with low cost. Most of previous studies have investigated customer complaint information by quantitative variables such as demographic information, transaction information, or complaint frequency, but studies focusing on qualitative aspects of complaint information are limited. Therefore, this paper considers the possibility for customers to leave even when they complain occasionally or briefly. This paper analyzes the quantitive aspects as well as the qualitative aspects using sentiment analysis with Exit-voice theory. The dataset contains 268,364 inquiries of 46,235 customers obtained from a contact center of a private security company in Korea. This paper carries out logistic regression and the results imply that the customers's explicit response and their implicit sentiment have different effect on customers leave. This study is expected to provide useful suggestions for the effective complaint management.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.193-202
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• 2019

In this study, we want to check if there are similarities and differences between Chinese students and Korean university students who make up the highest percentage of Korean students studying abroad and see what attributes affect their satisfaction with the use of Internet shopping malls. Based on the results, Chinese students will be able to suggest ways to increase their satisfaction in the process of using local Internet shopping malls and advise companies operating domestic Internet shopping malls on strategies to improve the satisfaction of foreign customers. According to the study, among the system evaluation factors experienced by Korean students and Chinese students when using Internet shopping malls, Korean students showed better information quality than their Chinese counterparts, and Chinese students showed better functionality than their Korean counterparts. Second, among the logistics system evaluation factors Korean and Chinese students experienced when using Internet shopping malls, both speed and delivery quality showed that Korean students were better than Chinese students. Third, when Korean students use local Internet shopping malls, the factors that affect their satisfaction with consumption were found to have significant effects on functionality, delivery quality, response reliability, information quality and speed. Fourth, Chinese students studying abroad showed that functionality, information quality, speediness and response reliability all had a significant impact on satisfaction, except for delivery quality.