• Journal of the Korean Society of Costume
• /
• v.20
• /
• pp.151-167
• /
• 1993

The purpose of this study is to systematize the theory of the Fashion Marketing and merchandi-sing system as well as the strategy for the Mar-keting based on the related variable. Furthermore, this study deals with development of the mark-eting strategy to the relation between consumers and industry. The content conclusion on the research can be outlined as follows : 1. In order to inverstigate how the life-style of consumers affects their sense of fashion, awa-reness of brand, and decision making process of purchase, the life-style of women consumers is classified into 15 types. (1) Acording to the different life-style types, and important difference is found in the consum-ers' sense of clothes, a unique image of outfit and its own favorite image of womanliness. (2) The consumer's awareness of a particular brand has a reasonable relationship with their brand preference and possession of the brands. (3) Their is an important discrimination acco-rding to the life-style types in their brand awar-eness and preference and possesion of brands. (4) The consumers of each life-style type show noticeable difference in the decision making pro-cess of purchase including he motive of purchase, the source of information, the cause of purchase intention, price, the frequency of purchase and the degree of satisfaction of purchased goods. 2. The merchandising system and the market positioning among the fashion industry are compared and analyzed in the following terms ; (1-1) For the purpose of establishing the target market strategy, the industry uses unreasenalbe methods to analyze the life-style of the target customers and the real customers(36%) and the aging phenomenon of brands is remarkable : as much as 37% of brands show over 5 years-old age gap. (1-2) The price setting process depends highly on the cost-plus approach. (1-3) In color planning, too many colors are used in every season(the average number is 22.3) and the investigation of the consumers' favorite color is neglected. (1-4) The manufacturers of successful brands are much likely to employ the textile designer and allow them to develop the various fabrication. (1-5) The regular rate of sales in each season is extremely low(56.04%) : the rate of the succ-essful brands is relatively high at 65%, but that of the unsuccessful as low as 51%. (1-6) 47% of brands reveal the designer-orie-nted fashion merchandising system. The successful brands, on the other hand, show a high rate of merchandiser oriented system. (2) Since the brand positioning is highly cen-tered on each brand image, styles and target age, the new data are presented in this study for the new market development. (3) To set up the target market, the mapping of images between the differentiated market and the consumers is suggersted according to the market positioning of industry and 15 types of the life-styles of consumers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.3
• /
• pp.33-45
• /
• 2014

The Government of South Korea is actively promoting entrepreneurship policies to help solve an age old problem of unemployment; however, the unemployment rate of youth entrepreneurship remains at a low. Primarily due to the government fragmented policies that are unable to solve the daily difficulties young entrepreneurs undergo. Therefore, this study aims at deriving a modern solution to an age old problem that exists through the use of co-creation by first interviewing young entrepreneurs to help derive a paradigm model. The model was developed through a grounded theory approach to help strengthen the young venture entrepreneurs. The results revealed that majority of the young entrepreneurship revitalization policies had exclusive participation structure, allowing only a selected few: complex policies of various government departments, short-term funding, one-size-fits-all training and support, lack of follow-up support policies after start-up, excessive administrative requirements, and performance-oriented fragmented support. Concluding that the policies were unrealistic and ineffective for the entrepreneurs. Accordingly, the result suggests that Co-creation entrepreneurship revitalization policy, based on the experiences of entrepreneurs, will need to be established to formulate an effective policy that provides practical assistance to the entrepreneurs in the field.

• Journal of Intelligence and Information Systems
• /
• v.20 no.2
• /
• pp.93-107
• /
• 2014

In this paper, we report what we have observed with regard to user-perspective issue clustering based on multi-layered two-mode network analysis. This work is significant in the context of data collection by companies about customer needs. Most companies have failed to uncover such needs for products or services properly in terms of demographic data such as age, income levels, and purchase history. Because of excessive reliance on limited internal data, most recommendation systems do not provide decision makers with appropriate business information for current business circumstances. However, part of the problem is the increasing regulation of personal data gathering and privacy. This makes demographic or transaction data collection more difficult, and is a significant hurdle for traditional recommendation approaches because these systems demand a great deal of personal data or transaction logs. Our motivation for presenting this paper to academia is our strong belief, and evidence, that most customers' requirements for products can be effectively and efficiently analyzed from unstructured textual data such as Internet news text. In order to derive users' requirements from textual data obtained online, the proposed approach in this paper attempts to construct double two-mode networks, such as a user-news network and news-issue network, and to integrate these into one quasi-network as the input for issue clustering. One of the contributions of this research is the development of a methodology utilizing enormous amounts of unstructured textual data for user-oriented issue clustering by leveraging existing text mining and social network analysis. In order to build multi-layered two-mode networks of news logs, we need some tools such as text mining and topic analysis. We used not only SAS Enterprise Miner 12.1, which provides a text miner module and cluster module for textual data analysis, but also NetMiner 4 for network visualization and analysis. Our approach for user-perspective issue clustering is composed of six main phases: crawling, topic analysis, access pattern analysis, network merging, network conversion, and clustering. In the first phase, we collect visit logs for news sites by crawler. After gathering unstructured news article data, the topic analysis phase extracts issues from each news article in order to build an article-news network. For simplicity, 100 topics are extracted from 13,652 articles. In the third phase, a user-article network is constructed with access patterns derived from web transaction logs. The double two-mode networks are then merged into a quasi-network of user-issue. Finally, in the user-oriented issue-clustering phase, we classify issues through structural equivalence, and compare these with the clustering results from statistical tools and network analysis. An experiment with a large dataset was performed to build a multi-layer two-mode network. After that, we compared the results of issue clustering from SAS with that of network analysis. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The sample dataset contains 150 million transaction logs and 13,652 news articles of 5,000 panels over one year. User-article and article-issue networks are constructed and merged into a user-issue quasi-network using Netminer. Our issue-clustering results applied the Partitioning Around Medoids (PAM) algorithm and Multidimensional Scaling (MDS), and are consistent with the results from SAS clustering. In spite of extensive efforts to provide user information with recommendation systems, most projects are successful only when companies have sufficient data about users and transactions. Our proposed methodology, user-perspective issue clustering, can provide practical support to decision-making in companies because it enhances user-related data from unstructured textual data. To overcome the problem of insufficient data from traditional approaches, our methodology infers customers' real interests by utilizing web transaction logs. In addition, we suggest topic analysis and issue clustering as a practical means of issue identification.

• Journal of Technologic Dentistry
• /
• v.34 no.3
• /
• pp.303-314
• /
• 2012

Purpose: This study aimed to find overseas workplace and improve global competence through the preference survey on overseas employment by dental technology students. Methods: The survey sample consisted of 250 randomly selected dental technology students. Survey was conducted from March 1 to May 1 in 2012. Total of 245(98.0%) replies and analyzed 236 questionnaires excluding 9 incomplete questionnaires. The questionnaires used in this study consisted of 7 items for general information, overseas employment characteristics of 10 items, 7 items for overseas employment activation plane and job competency development of 7 items. Collected data were analyzed using SPSS(Statistical Package for Social Sciences) Win 19.0 statistics program. Results: Regarding general characteristics of the subjects, there were 131 third graders(55.5%), 63 first graders(26.7%) and 42 second graders(17.8%) among 130 males(55.1%) and 106 females(44.9%). 221(93.6%) of the subjects had no experience in language training. Students who had clinical training for 1-5 months were 123(52.1%), and 24(10.2%) students had more than six months. 89(37.7%) of the subjects had no clinical training. 155(65.7%) of the subjects hope to work with korean owner, and 81(34.3%) chose foreign owner. Favored working countries were Australia(41.5%), the United States(29.2%), Canada(18.2%) and other(11.0%). The field of dental ceramic was indicated to be the highest proportion of 104(44.1%). Period of training were 3 hours(40.3%) and 6 hours(35.2%). The most important training were language-centered education(54.2%), Job-oriented education(24.2%), local culture education(16.1%), other(3.0%) and Leadership Training(2.5%). The subjects chose overseas worker(44.9%), working-level practitioner (28.8%), successfully employed dental technology graduate(19.5%a) and professor(3.4%) as an instructor. The subjects get education and training information from professor(40.3%), other(28.0%), senior(14.4%), job site(8.9%) and acquaintance(8.5%). A credit exchange(2.46 points), a joint degree program(2.46 points), and a foreign professor(2.33 points) were needed to activate the overseas employment. A kind of dental prosthesis(3.58 points), carving tooth morphology(3.38 points), and majors of dental technology(3.30 points) were indicated to develop job competency for overseas employment. Age, year, clinical training experience and company owner were statistically meaningful data among the general characteristics affecting job competency development. Conclusion: The college needs to offer variety programs such as foreign language-centered education and a local job competency development program to graduates to be connected with international workplace and employment.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.39 no.10
• /
• pp.1555-1564
• /
• 2010

This study investigated consumer's recognition of food labeling in order to contribute to the development of food labels which are more informative to consumers. The questionnaires had been collected from 120 male and female customers living in Seoul with the age between 10's and 60's from November 2nd to November 7th 2009. For checking the food label at the time of purchase, 58.3% of the consumers checked the food label and the main reason for checking the food label was to confirm sell-by date (60.1%). Sixty percent of the consumers were satisfied with the current food labeling. Among those who are not satisfied, 30.6% complained about difficult terms to understand and 25.8% were dissatisfied with insufficient information. In every age group, most people were not satisfied with labeling on food ingredient and additives, followed by date of manufacture and sell-by date. 53.1% of consumers demanded to label date of manufacture and sell-by date together. For more clear information, consumers wanted use-by date (47.5%) rather than sell-by date (23.3%). 56.7% of consumers was dissatisfied with warning information such as allergic warning and the reasons for dissatisfaction were poor visibility (37.5%) and insufficient information (33.4%). Moreover most consumers (90.0%) showed little knowledge on irradiation. To improve of the food labeling standards into consumer-oriented standards, both amendment of the food labeling standards and consumer education will be necessary.

• Journal of Intelligence and Information Systems
• /
• v.20 no.2
• /
• pp.109-122
• /
• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• The Journal of Korean Association of Computer Education
• /
• v.17 no.3
• /
• pp.85-99
• /
• 2014

Recently youth problems such as school violence and bullying are becoming increasingly lower age. In order to overcome this situation highlights the importance of education and the emotions, which in analyzing the existing mobile app, only the most fun-oriented approach has been made and the information presented. It focuses on the emotion awareness and empathy abilities of learners diagnosis, training, application can be made at the level of educational mobile app prototype was developed. First, self-understanding, self-expression, others-understanding, and empathy of emotional competency derived from review of emotional awareness skills training programs. Second, by analyzing the existing emotion recognition app macro-principles and micro-strategy of mobile app's designs were derived. Third, accordi was conducted on prototype of storyboard and app the completed prototype was completed. The proposed app is a fun and learning by doing, also Depending on students' level of performance can be customized. The proposed mobile app is efficient and effective, engaging learning space as a systematic training in the diagnosis and the emotions through the elementary students will be able to improve emotional awaeness competency.

• Journal of Korean society of Dental Hygiene
• /
• v.3 no.2
• /
• pp.209-220
• /
• 2003

The purpose of this study was to examine how clients who visited dental institutions perceived client services, what sorts of client services were provided to them and to what extent they were satisfied with them. It's ultimately meant to seek ways to enhance and enlarge client services. A survey was conducted on 379 residents who used dental institutions in Seoul and Gyeonggi provinces, and the findings of this study were as follows: 1. 64.6 percent of the people investigated weren't aware of client services, and 33.0 percent viewed them as part of medical services. 77.5 percent had grievances about dental institutions they'd ever used. 2. The biggest complaint was that the dental treatments they received weren't covered by the dental insurance. As for how to solve their grievances, the largest group of them told the employees of the dental institutions about their complaints or didn't use them again. When asked whether the dental institutions took any steps to get rid of their grievances, the greatest group replied they had no idea. and the second largest group answered they took no measure. 3. By age and educational level, those who were in their 60s and up and stopped at elementary school were best cognizant of client services. Among client service variables, they were most satisfied with how the employees handled their complaints, and as to overall satisfaction, their willingness to revisit ranked highest. 4. Concerning connections among client service awareness, service variables and overall satisfaction level, their awareness of client services had a positive correlational relationship with every service variable and satisfaction level. Among the service variables, prompt client services and employee attitude were positively correlated to overall satisfaction level, but service procedure, facilities and information services exercised little impact on that. 5. As for what factors affected their content with client services, their client service awareness was identified as one of the important factors to influence their use of dental institutions, the outcome of their visit and their willingness to revisit. The above-mentioned findings suggested that dental institutions should strengthen publicity activities to inform people of client services, and encourage them to express their grievances. In addition, they should take an immediate action to remove their complaints, and try to get a successful feedback to offer higher-quality medical services and customer-oriented services.

• Journal of Distribution Science
• /
• v.9 no.1
• /
• pp.49-59
• /
• 2011

Although the South Korean organic food market is in the infancy compared to other industrialized countries, Korean consumers'interest in organic food and retail stores devoting space to organic products have been rapidly increasing. Despite the fact of organic food popularity, the term "organic" is interpreted differently by individuals. As opposed to the US, Japan and the EU where have operated an integrated organic food labelling system, Korea has adopted complex organic labelling systems regulated by several different government bodies. As a result, complicated food labelling standards make consumers confused when purchasing organic foods. Furthermore, in terms of country of origin (COO), it is argued by a lot of researchers that COO effects vary from product to product and from country to country; moreover, other informational cues such as brand and price can influence COO effects. In modern society, COO labelling has been complicated, due to the sourcing, manufacturing and market locations of merchandise spread over the world. Accordingly, the evaluation of COO effects has become complex. In order to examine these issues, a quantitative research was selected to classify the commonfeatures of organic food consumers and construct statistics such as the extent to which people are aware of organic food and COO labellingvia a questionnaire which took place in two cities in Korea with a cluster sample of 161 organic food purchasers. As for the data analysis, one-way analysis of variance (ANOVA), T-tests, bivariate crosstatulations with Cramer's V were conducted,depending on the characteristics of variables and the assumptions the research data need to fit. It has been concluded that in general, Korean organic consumers comprehend the term "organic"in a closer way to the general concept rather than technical term, thus people do not appreciate environmentally labels which include organic food labels, although marital status influence the degree of label awareness, regardless of gender, age, education level and so on. Regarding COO effects on organic food, home organic products were Korean consumers'first choice over those from industrialized countries and developing nations. Specifically, in processed organic product category, domestically cultivated and processed organic products were absolutely preferred to leading national brands produced with imported ingredients and international brands. However, due to a lack of checks of ingredients' COO, consumers tend to purchase a leading national organic food brand, believing that it is a pure organic food sourced domestically. As a consequence, this research has suggested some important managerial implications and future research directions. In order to prevent consumer confusion when buying organic foods, it should be noted that consumers do not comprehend the organic food certifications, due to complicated labelling systems for organic produce and processed organic foods. Therefore, government bodies related to organic food distribution have to know consumers' perception of organic food labels and the significance of customer-oriented labels and reestablish labelling standards. Similarly, public advertising should be followed to raise public awareness of the labelling to enable customers to have the correct information. In addition, not only international marketers but also domestic marketers need to understand COO images and also the influence COO of ingredients has on the image of an organic product.

• Archives of design research
• /
• v.14 no.3
• /
• pp.177-186
• /
• 2001

Modern times is called the age of image. It means that our society's importance is transferring from the commodity-centered industrial society to intangible culture-oriented society Therefore, it is becoming very important that what kind of image, concept and psychological factor act upon the space, things, incident and time (event) which is constituted around our environment. As regards this standpoint, from the early period, that advanced countries have been taking advantage of the national symbol image very positive way and function for domestic things and place and event and so on which make a standout for the nation's positive image and taken an effort for promoting a pride of their fellow countrymen through this. This study approaches the basic images of national symbol which includes the country's name, national anthem, national flag through the design principle which could express some certain above level of pattern and composition. I suggested various applicative motif based on basic expressions of each individual image and the applied sample goods of this idea, and through the introduction of the process of image development, and I tried to offer a moment of more prosperity and development at a later time. This is for encouraging fellow citizens to use national symbol in the free and positive way which make them to increase a national pride, and give a familiar image in the citizens'daily life. I intended to offer basic materials for promoting ourselves whenever we need it. And also by the offering information on our nation for foreigners which make them to have a favorable impression of our nation. I tried to promote a positive national image.