• Fashion & Textile Research Journal
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• v.14 no.6
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• pp.928-940
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• 2012

The present study aimed to propose the competitive strategy to fashion brand franchise stores by analyzing articles regarding success stores as published in fashion magazines. A total of 91 articles were selected from three fashion magazines and content analysis was applied to extract major factors. Four types of trading areas and eight product types were compared by the major factors. As results, six major factors composing competitive strategy were analyzed such as personal selling, management of sales forces, promotion, customer relationship management, management of store space, and relationship with headquarter. Comparing competitive factors by the types of trading area, management of sales forces and personal selling were crucial for central district and for outlets/interchange district. On the other hand, personal selling and customer relationship management were important for local district while management of store space and personal selling were critical for tenants of the large discount store/shopping mall area. Comparing by product types, personal selling was the most important factor for all product types except young casualwear whereas the second important one was management of sales forces for adult casualwear, womenbbbs wear, and others. For menbbbs wear, sales promotion was the second important one whereas management of store space was the second crucial one for underwear and childrenbbbs clothing. Based on the present study result, it is proposed that competitive strategy of individual fashion brand franchise store should be differently developed because the characteristics of trading area and product type are different and in turn, customers benefit and competition might be different.

• The Journal of Information Systems
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• v.26 no.2
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• pp.63-83
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• 2017

Purpose: In Korea, market size of social commerce has been increased steadily and highly, but profits of social commerce companies have been decreased because of excessive marketing cost. To overcome this stagnant market environment, new marketing strategy that could attract customers and make customers continue to use social commerce is required instead of cost consuming marketing strategy. The purpose of this study is to investigate the relationship among characteristics of social commerce - that is, economic value and information quality - usefulness, enjoyment, satisfaction and repurchase intention by applying motivation theory to the area of social commerce. Design/Methodology/Approach: Previous researches have been studied by applying Expectation-Confirmation Model (ECM), Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM) and Stimulus-Organism-Response (S-O-R) Model, although there are many studies related with customer acceptance model in the field of e-commerce. However, there is not so many studies in applying motivation theory. So this study adopts new approach to examine why customers use social commerce based on motivation theory. Thus, this study adopts economic value and information quality as antecedents, and then customers will perceive extrinsic and intrinsic motivation; usefulness is extrinsic and enjoyment is intrinsic, and adopts satisfaction and repurchase intention as a dependent variable. The data of questionnaire were collected from customers who have experience to buy something in social commerce. 228 questionnaires as data unit of individual level were collected using random sampling. Findings: This study proved empirically that the relationship between antecedents and motivation factors has a positive influence, and motivation factors also have a positive influence on repurchase intention through satisfaction. This study provides the managers an insight that social commerce companies should pay more attention to improve customer satisfaction in order to increase higher performance in repurchase intention of social commerce.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.187-198
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• 2015

The purpose of this research is to explore the characteristics of Korean Global Hidden Champions focused on the success factors of foreign hidden champions. For this, we investigated the application process of these success factors of foreign hidden champions to Korean Global Hidden Champions and analyzed characteristics of Korean Global Hidden Champions with the cases of 11 companies. This research shows that there are the success factors of foreign hidden champions such as leadership and goals, self production, high-performance employees, market focus, continuous innovation, closeness to customer, globalization. This research also shows that there are some differences in the individual application process of success factors to each company. The Korean SME's trying to achieve the position of global hidden champions should know the success factors of foreign hidden champions clearly and investigate the application process of these success factors to Korean Global Hidden Champions carefully so that they may apply these lessons to their management processes and activities.

• Journal of the Korean Society of Costume
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• v.66 no.4
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• pp.1-17
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• 2016

Fashion stores have to change to fit such the taste of individual customers taste and try to give unique experiences to the customers. They need to develop a special space that entertains customers, and entices them to visit and revitalize the off-line stores. This paper aims to analyze the experimental factors of stores, and how each of the factors impact customer experience in order to find out its effect on store satisfaction and store loyalty. Data was analyzed by using SPSS 18.0 and AMOS 18.0. Results of this study are as follows. First, Visual, Tactile, and Gustatory are the main senses that influence the emotional experience of the customers on a store visit. Second, three factors that influenced customer experience in experimental fashion stores are 'Causing Interest', 'Causing Concern', and 'Causing Relationship.' Third, the 'Causing Interest' factor and the 'Causing Concern' factor showed positive correlation with store satisfaction, while the 'Causing Relationship' factor did not impact store satisfaction, which affected store loyalty. Fourth, each experimental fashion stores can have different effect to consumer satisfaction and loyalty. Also, fashion store brands without an experimental store can cause various effects to consumers when a flagship store with an array of product information is formed. The conclusion drawn from this study will provide a guideline for fashion stores attract faithful customers by improving their store environment.

• Korean journal of food and cookery science
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• v.23 no.3 s.99
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• pp.327-336
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• 2007

Life-style factors often include social relationships as well as consumption, entertainment and dress patterns. They also typically reflect an individual's attitudes, values and worldview. Life-style types have become and an important factor for segmenting customer markets ever since significant relationships between life-style and customers' behavior was proven. This study examined the relationships between the life-styles of young customers' and the important attributes of foodservice encounters. Factors analysis with VARIMAX and K-means cluster analysis were conducted to group the subjects by life-style. According to the factors analysis, four underlying dimensions were identified and labeled: (1) 'actively fashioned', (2) 'luxury picky', (3) 'healthy toward', and (4) 'utilitarian leisure'. Based on the factor scores derived from the factors analysis, the K-means cluster analysis classified three groups as statistically significant using ANOVA(p<0.05). The overall mean score for the 3rd cluster 'trendy-active picky' was higher than the other two clusters, and represented very picky attitudes about foodservice attributes. The 3rd cluster also seemed to apply higher standards to all of the foodservice attributes. By order of importance, the most important attributes of the 2nd cluster 'pursue-utilitarian leisure' were food serving time, automation systems, server's hygienes, employee kindness, time in line, and menu variety. In spite of low concerns for the life-style attributes, the first cluster 'passively indifferent' recognized menu variety, food sanitation, food serving time, server's hygiene, menu price, air circulation, and room temperature as important. These results suggest that young diners in Korea could be classified by their diverse life-styles that are represented as trendy, utilitarian, and indifferent and will hopefully contribute to the foodservice industry's ability to segment customer characteristics by different life-styles in Korea.

• Health Policy and Management
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• v.16 no.1
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• pp.54-72
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• 2006

This study was conducted as the primary work to develop a customer relationship management (CRM) system to improve the performance of health screening programs. The specific aims of the study was to identify and classify the characteristics of the people who did not receive their health screening using decision trees and to propose management strategies according to their characteristics identified. The data on a total of 5,102,761 subjects of health screening provided by the National Health Insurance Program in the year of 2002 were used. The target variable was whether they underwent their health screening. The input variables included a total of 27. The SAS 9.1 version was used for data preprocessing and statistical analyses. SAS Enterprise Miner was used to develop the decision trees model. The decision trees identified the factors greatly affecting the health screening. In the non-disease group, the highest rate of non-examinees was characterized by: no experience of receiving a health screen, household's age, non-insured episode for the last one year, and patients' age. In the disease group, the one showing the highest rate of non-examinees was characterized by: no experience of receiving a health screening, no experience of going to public health center or midwife clinic for the last one year, and examinees' age. Developing CRM systems for health screening management taking into account the individual characteristics would be considerably helpful to increase the rate of receiving health screening.

• Journal of Korean Ophthalmic Optics Society
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• v.17 no.4
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• pp.335-343
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• 2012

Purpose: In this study, we investigated effects of employees characteristics, expertise, customer satisfaction, devotion of employees to their company, business performance of the optician. Methods: For two months, from August to October 2011, employees participated in individual questionnaires. And the SPSS v14.0 was applied for statistical analysis. Results: This study has shown that the employees characteristics have an effect on the financial performance and satisfaction performance of opticians. In particular, the 'Customers satisfaction' a was important characteristics of employees affecting finance performance, and the 'Devotion to their company' was important factor that affects satisfaction performance. Conclusions: From the result found in this study, it is recommended that further efforts for inspiring the employees devotion to their company and for improving customer satisfaction are required. Above all, employer should pay attention on more suitable ways to encourage work of his employee with considering different situation or circumstance of each optician.

• Journal of the Ergonomics Society of Korea
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• v.27 no.4
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• pp.85-94
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• 2008

Internet shopping has been getting more rousing due to extension of supply with PC(personal computer) and a rapid rise of use of internet. Some companies have been continually researching in how to serve individuals with each ordered information, which aimed at getting ordinary customers to induce to be loyal customers. For that, there is progress of a service of a web-recommendation which considers individual attribution. This study is suggested a method which is a service of the web-recommendation by access to sensibility ergonomics approach. Previous studies established that service had a weak point. It did not manage to realize new needs of customers. Proposed service of the web-recommendation has been designed, which preferentially propose goods included customer's sensibility to the customer who wants it. This study is expected that it will encourage a rise of products' purchasing power of customers, make an increase in a profit of both sellers and people who operate electric commercial and satisfaction of customers will go up in the same. Also, products accord with sensibility of customers will be recommended customers by the suggested service of the web-recommendation. In addition, there will be a decline of time-consuming about making a choice among some products.

• Journal of the Korea Safety Management & Science
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• v.14 no.4
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• pp.229-238
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• 2012

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

• Journal of Information Technology Services
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• v.20 no.6
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• pp.63-81
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• 2021

Joint financial network of Korea Financial Telecommunications and Clearings Institute, which is an essential facility with a natural monopoly, maintained its closedness as monopoly/public utility model, but it has evolved in the form of open banking in order to obtain domestic fintech competitiveness in the rapidly changing digital financial ecosystem such as the acceleration of Big Blur. In accordance with digital transformation strategy of financial institutions, various ICT companies are actively participating in the financial industries, which has been exclusive to banks, through the link technology called Open API. For this reason, there has been a significant change in the financial service supply chain in which ICT companies participate as users. The level of security in the financial service supply chain is determined based on the weakest part of the individual components according to the law of minimum. In addition, there is a perceived risk of personal information and financial information leakage among the main factors that affect users' intention to accept services, and appropriate protective measures against perceived security risks can be a catalyst, which increases the acceptance of open banking. Therefore, this is a study on factors affecting the introduction of open banking to achieve financial innovation by developing an open banking security control model for financial institutions, as a protective measures to user organizations, from the perspectives of cyber financial security and customer information protection, respectively, and surveying financial security experts. It is expected, from this study, that effective information protection measures will be derived to protect the rights and interests of financial customers and will help promote open banking.