• The Research Journal of the Costume Culture
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• v.26 no.2
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• pp.251-263
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• 2018

As mobile shopping has increased in the new media age, fashion consumers' decision making and product consumption processes have changed. The volume of consumer-driven information has expanded since media and social networking sites have enabled consumers to share information they obtain. The purpose of this study was to determine the factors affecting information searching strategies and information sharing about fashion products. An online survey collected data from 466 respondents, relating to the influence of product price level and consumer SNS commitment level on information search and information sharing. Experimental design of three product price level and two consumer SNS commitment level was used. Analysis of the data identified factors in fashion information searching as ongoing searching, prepurchase web portal information search, and prepurchase marketing information search. For low-price fashion products, prepurchase product-detail influenced intention to share information. For mid-priced products, ongoing search significantly affected intention to share information. Both ongoing search and prepurchase marketing information search showed significant effects for high-price products. Consumers who are more committed to SNS engaged in significantly more searching in all aspects of information search factors. Significant interaction effect was detected for consumer SNS commitment level and product price level. When consumers with low consumer SNS commitment search for information on lower-priced fashion products, they are less likely do a prepurchase web portal information search.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.4
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• pp.73-84
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• 2017

This study started from searching for cause and solution of the part where online shopping malls are easy to start but easy to choose. It is thought that online shopping mall business has sufficient merit in the situation of Korea which is rapidly spreading internet, and it started from the opinion that if it can strengthen the characteristics of successful business start-ups, it can increase the rate of failure and reduce the failure rate. Internet shopping mall education experts gathered and discussed in depth what is the way in which mall entrepreneurs can maintain business continuously. As a result of summarizing the opinions of many shopping mall experts, we concluded that the marketing capabilities of each company should be strengthened. In addition, the importance of entrepreneurship education has emerged. In particular, it has been concluded that strengthening the competence of marketing mix is an important factor that determines the success and failure of the company. In this case, the researchers started to study this question with the question of what factor of marketing 4P has the greatest influence on the success of start-up. I also decided to study the impact of entrepreneurship education. As a result of this study, marketing mix ability as an independent variable has a significant positive effect on the success of entrepreneurship. Especially, the effect of product mix among 4Ps is significant for successful entrepreneurship.

• Korean Journal of Human Ecology
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• v.18 no.1
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• pp.181-188
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• 2009

The purpose of this study is to analyze the brand choice behaviors of male and female college students in their twenties, to examine the differences in their information-searching activity to the type of the behaviors and shopping places for purchasing apparel products. The data were analyzed by Factor analysis, Ouster analysis, one-way ANOVA, Duncan's multiple range test. The results are as follows: 1. With regard to the brand choice behaviors of male and female college students in their twenties, two factors were produced as 'consumers' loyalty to brand' and 'brand switching behavior'. 2. The brand choice behaviors were classified into three groups as 'a brand-switching group', 'a loyalty-to-brand group', and 'an indifferent-to-brand group'. There were significant differences between the groups. 3. The results for demographic differences in terms of the brand choice behaviors showed that there was a significant difference in 'brand switching behaviors' by gender. 4. There were significant differences in the media for information search and the places for shopping apparel products in terms of the brand choice behaviors.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.488-492
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• 2007

In this study, we investigated how to distinguish customer delivered value to re-purchasing in fierce B2C industry. To identify key managerial variables that could distinctively impact re-purchasing, we first identified customer value proposition as per the customer buying decision process. Next, core value propositions of choice efficiency and competitive price are defined to determine vendor satisfaction during the searching stage and purchasing stage. The trust level is also introduced in the sense of reflecting confirmation to guarantee after purchase security. Then, significant managerial variables to impact on core value propositions are extracted. The resulting structural model illustrated that search convenience and quality assurance affect the choice efficiency, and re-purchase intention is strongly explained by both the vendor satisfaction and trust level. The empirical testing results also support that transaction cost reduction is key determinant of shopping at the Internet shopping mall. Furthermore, trust level should be combined to induce re-purchasing in addition to transaction cost savings.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.5
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• pp.497-505
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• 2000

Today people are very interested in an electronic commerce based on web according to the rapid growth of Internet and multimedia technology. Buyers want the special services for themselves as they become more reasonable, wiser and deepening the tendency of personality. But today most electronic commerce only serves the catalog of goods which buyers see and choose shapes and standards of goods. It is needed sale agent using sale clerks' knowledge beyond the level of service only offering the information about goods to satisfY buyers. So in this thesis buyers can buy the goods suiting buyers' taste using ISA(lntelligent Sale Agent), sale clerks in cyber in place of sale clerks in actual shops in real world. The use of this kind of intelligent sale agent makes buyers save the time for searching for goods and do shopping suiting buyers' taste.

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.118-126
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• 2003

In data mining, having access to large amount of data sets for the purpose of predictive data does not guarantee good method, even where the size of Real data is Mobile commerce unlimited. In addition to searching expected Goods objects for Users, it becomes necessary to develop a recommendation service based on XML. In this paper, we design the optimized XML Recommender product data. Efficient XML data preprocessing is required, include of formatting, structural, and attribute representation with dependent on User Profile Information. Our goal is to find a relationship among user interested products from E-Commerce and M-Commerce to XDB. Firstly, analyzing user profiles information. In the result creating clusters with analyzed user profile such as with set of sex, age, job. Secondly, it is clustering XML data which are associative products classify from user profile in shopping mall. Thirdly, after composing categories and goods data in which associative objects exist from the first clustering, it represent categories and goods in shopping mall and optimized clustering XML data which are personalized products. The proposed personalized user profile clustering method has been designed and simulated to demonstrate it's efficient.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.8
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• pp.1403-1414
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• 2010

Consumer decisions and responses about the price to pay vary. Some consumers might decide the appropriate price range prior to shopping, while others compare and evaluate prices. Especially, consumers can have different reference points for price evaluation based on various price searching behavior that represent heterogeneous responses for prices in the clothing purchase decision-making process. This research identifies how consumers evaluate the price and helps explain their decision-making based on price searches. By analyzing qualitative research, we found that consumers recalled price information as a representative indicator and product level price information through the internal search. Their level of internal references can be an important factor affecting price evaluations. In addition, each consumer groups were subdivided into high and low external searching. The four types of responses to price were classified in the price search process and the identified differences in the price evaluation. Therefore, pricing strategy needs to be differentiated for these various consumer types.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.183-190
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• 2009

The core technique of ubiquitous computing is the context aware computing and the context aware technique is more like software so the important research work is to develop the core engines first and the adapted device for the engines. When ubiquitous computing era comes, the current existing internet shopping mall, the form of searching the direct goods and ordering the goods by the customers evolves and develops the form of system that recommends the goods by the search engine which combined with the input data and technique of case based reasoning and intelligent agent that is based on the context aware technique. In this paper, search engine which is based on the case based reasoning and intelligent agent is designed and the prototype is implemented to be adapted to the internet fashion expert shopping mall.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.510-514
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• 2004

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is known to be the most successful recommendation technology, but its widespread use has exposed some problems such as sparsity and scalability in the e-business environment. In this paper, we propose a recommendation methodology based on Web usage mining and product taxonomy to enhance the recommendation quality and the system performance of original CF-based recommender systems. Web usage mining populates the rating database by tracking customers' shopping behaviors on the Web, so leading to better quality recommendations. The product taxonomy is used to improve the performance of searching for nearest neighbors through dimensionality reduction of the rating database. Several experiments on real e-commerce data show that the proposed methodology provides higher quality recommendations and better performance than original collaborative filtering methodology.

• Journal of Korean Society for Quality Management
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• v.30 no.3
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• pp.168-185
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• 2002

A few recent international surveys reported that Korea ranks the top with respect to the high-speed information and communication network subscription per 100 people in the world. Such infrastructure has been bringing about broad changes in Internet service for both business and individual users. By conducting a questionnaire survey on a moderate size of sample proportional to the population of each region across country, we try to analyze what factors might explain the level of Internet service satisfaction with respect to security, searching, and convenience dimensions. According to the test results, several factors such as sex, age, kind of network lines, usage frequency, e-mail usage, e-shopping, online problem experience might explain the different levels of Internet service satisfaction in the high-speed Internet network. This study might shed a guidance to scholars conducting Internet-related studies and practitioners who plan information policies and business strategies.