• The Journal of the Korea Contents Association
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• v.7 no.9
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• pp.127-138
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• 2007

Due to the development of internet technology and the steady increase of turnover at B2C market many companies put a lot of work into maintaining a good relationship with internet customers. Particularly, analyzing and understanding specific customer groups are essential for effective CRM and marketing strategy Thus, this paper proposes the method to define the customers of online bookstore into several meaningful groups. Five important factors and factor scores for each respondent are obtained by Factor Analysis. Six groups are classified by Cluster Analysis and Analysis of Variance(ANOVA) is used to verify the difference between each group.

• The International Journal of Costume Culture
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• v.12 no.2
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• pp.129-140
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• 2009

In this study, the effect of innovativeness of external networks on the corporate innovativeness and innovation performance were explored based on web survey data collected from 230 manufacturing companies. Specifically, according to the manufacturers' business categories divided by the technology level, three groups such as advance technology (electronic/IT), mid- to high technology (automobile/machine), and low technology (textile/clothing) companies were investigated to find out which external network influences corporate innovativeness and innovation performance. In the result, textile/clothing companies were not different in company size, history, and innovation effort from advanced technology and mid- to high technology companies. Collectively, the innovativeness of external networks affected corporate innovativeness and innovation performance. In the result by a business category, innovativeness and innovation performance of textile/clothing companies were affected by the innovativeness of competitors, whereas automobile/machine companies in the mid- to high technology group were affected by suppliers. In addition, advanced technology (electronics/IT) were affected by buyers and competitors. These differences suggest that the way to use vertical networks toward upstream (e.g., suppliers) and downstream (e. g., buyers) as well as horizontal networks toward competitors can be different by the business category of manufacturers. The result would provide implications for the academia and the industry.

• The Research Journal of the Costume Culture
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• v.11 no.4
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• pp.487-499
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• 2003

The purpose of this study was to suggest marketing strategies to internet fashion shopping malls identifying factors that customers consider important. Data were collected by survey questionnaire and the subjects were 322 men and women in their twenties and thirties living in Seoul and Kyung-gi. SPSS 10.0 package were used and reliability, frequency, cross tabulation, chi-square, paired t-test, ANOV A and Duncan test were conducted for data analysis. The results were as follows. I) Subjects placed the most importance on providing the precise and detail information of products but its satisfaction level was low. 2) Subjects considered the ‘low price’ very importantly but its satisfaction level of it was not high. 3) Subject's importance and satisfaction level of ‘point system’ were about an average. 'Point system' has to be activated by using systems such as 'point network system' by pointbanking co. as one of price-cutting strategies. 4) Internet fashion shopping mall users treated 'the security system of personal data' importantly while they were not sufficiently satisfied with the system. 5) Female placed more importance on design and color of products and suppliance of the trendy items.

• The Research Journal of the Costume Culture
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• v.28 no.3
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• pp.330-343
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• 2020

This study defines the concept of the fashion meme, which has recently emerged as a fashion trend, influential fashion keyword. After analyzing the concepts and characteristics of traditional memes from prior studies, examples of fashion memes were collected from online community and social network services, while a literature study and case study analysis were conducted in parallel drawing on related articles and journals. Modern fashion memes refer to fashion-related symbols and fashion images that are spread online by word-of-mouth, together with fashion styles and items that spread as a result of being worn. Fashion memes in cyberspace are mainly spread through social network or message services, and sometimes combine text, images, videos, hashtags, and emoticons. Fashion memes are a type of collective action of the people in response to social problems in the world, and often involve humorous antics, satire, shock, and eccentricity. Shared fashion memes reflect the expression of personality expression and fun, and at the same time are used as an expression of designer and brand creativity and are integral to marketing. Fashion memes are classified into four types, based on two central axes as follows: non-commercial/commercial and anti-fashion/fashion-friendly. Unlike traditional memes, Internet-based fashion memes emphasize elements of transformation through creativity as well as imitation, which has become a persisting contemporary trend beyond temporary phenomena.

• The Journal of Information Systems
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• v.24 no.3
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• pp.21-46
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• 2015

Purpose Social Network Service (SNS) users feel fatigue in process of using open type of SNS like Facebook and Twitter. Compared to the open SNS, the closed SNS takes an closed form to prevent privacy exposure, and they are more practical and advantageous to form deeper social relationships. This study attempt to examine the effects of the mobile closed SNS characteristics (such as usefulness, playfulness, perceived security, psychological privacy, social influence, and belonging) on the users' continuous SNS usage intention. Design/methodology/approach This study used a mixed methodology combining in-depth interviews and empirical validation to investigate the effects of the mobile closed SNS characteristics on the continuous SNS usage intention of users. Findings Analytical results from a survey of 210 mobile closed SNS users showed that except perceived security, the effects of the five SNS characteristics on continuous SNS usage intention were significant. These findings contribute to improving the quality of mobile closed SNS services and suggesting SNS related marketing strategies.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.259-261
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• 2002

KEPCO(Korea Electric Power Corporation) has been management alone before some time. However through the electrical industry reorganization generation and KPX(Korea Power Exchange) were separated on 2001. A marketing and distribution part will be separated in the future. While many problem for appear in future. how to management for power system network is important. unfortunallity, electrical power industry is starting point right now. Thus, detail data is incomplete for this field and detail research for this field is required with distribution reorganazation. In this paper suggest for customer interruption cost compute method to establish a standard. The standard is need to security operation of power system network. The customer interruption cost compute method necessity of customer interruption cost compute method is minimizing process for total cost. As final total cost compute through the interruption cost compute, we can recognize investment point exactly. We cited foreign survey questions, because exactly matched survey questions for in the country circumstance is not exist. And process to survey performance suggest after modify for match in the country circumstance. Survey questions that suggested fer this paper are classified five categories. This paper suggests to detail survey questions and survey method before survey and suggest to how to customer interruption compute when survey data is ensured. Moreover this paper suggest to average interruption cost compute for residential customer using statistical method.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.1
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• pp.123-133
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• 2003

The specific objectives of the study were as follows: 1) To investigate the composition system (design, usability and interactivity) of web sites of textile exchange of B to B 2) To examine and valuate contents and marketing (announcement, satisfaction and variety of contents) of web sites of textile exchange of B to B. The data were collected from search engine, portal sites of evaluation, direct contact, interview over the phone with web master of concerned web sites and the result of analytical valuation of web sites. The results of this study were as fellows: 1) The Dongsung trading intended to mainly use their homepage as a inside communication place by intranet network. The Daechang trading was mainly using their homepage as a tool of expansion of their outside export market. The etextiler was selling their web solutions through homepage. The texcom was offering the web place and useful informations to trading companies in Asia. 2) The texcom consisted text with little image to speed up for loading and navigation for usability of users. The Dongsung trading made intranet network for communication and exchange of informations of company inside. The etextiler offered a booking menu to inquiry in homepage. The Daechang trading tried to give good impression from the introduction page at homepage.

• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.40-45
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• 2015

Online social networks(OSN) are very popular nowadays. As OSNs grows, the commercial markets are expanding their social commerce by applying Influence Maximization. However, in reality, there exist more than two players(e.g., commercial companies or service providers) in this same market sector. To address the Influence Maximization problem between adversaries, we first introduced Influence Maximization against the social adversaries' problem. Then, we proposed an algorithm that could efficiently solve the problem efficiently by utilizing social network properties such as Betweenness Centrality, Clustering Coefficient, Local Bridge and Ties and Triadic Closure. Moreover, our algorithm performed orders of magnitudes better than the existing Greedy hill climbing algorithm.

• Journal of Distribution Science
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• v.14 no.9
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• pp.25-29
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• 2016

Purpose - Finding top K persuaders in consumer network is an important problem in marketing. Recently, a new method of computing persuasion scores, interpreted as fixed point or stable distribution for given persuasion probabilities, was proposed. Top K persuaders are chosen according to the computed scores. This research proposed a new definition of persuasion scores relaxing some conditions on the matrix of probabilities, and a method to identify top K persuaders based on the defined scores. Research design, data, and methodology - A new method of computing top K persuaders is computed by singular value decomposition (SVD) of the matrix which represents persuasion probabilities between entities. Results - By testing a randomly generated instance, it turns out that the proposed method is essentially different from the previous study sharing a similar idea. Conclusions - The proposed method is shown to be valid with respect to both theoretical analysis and empirical test. However, this method is limited to the category of persuasion scores relying on the matrix-form of persuasion probabilities. In addition, the strength of the method should be evaluated via additional experiments, e.g., using real instances, different benchmark methods, efficient numerical methods for SVD, and other decomposition methods such as NMF.

• The Journal of Information Systems
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• v.24 no.1
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• pp.1-25
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• 2015

Social Network Service (SNS) has been played an important role in the life with the expansion of the modern technology in the cellular communication. More knowledge and understanding should be inevitable even if companies have taken advantage of SNS through word of mouth as one of the new paradigm. In most cases the crucial benefit or peculiarity of SNS has been overlooked because only general aspects of SNS have been applied in the online situation. As a result of this, same paradigm has been considered in reality as SNS was just used one of the marketing tools. However, essential aspects of SNS were investigated to see the relation of usage intention and word of mouth in this study. The hypothesis of the effect of continuous intention of the usage, trust and word of mouth was made and reviewed statistically. The statistical analysis showed there was significant among relationship, context, perceived service quality and continuous intention of the usage. In addition to that, self-expression, relationship, perceived service quality and trust were significant. Finally the continuous intention of the usage and word of mouth was significant as well. Based on this study, SNS provided by the companies could be effective to the customers in terms of word of mouth while different trend was shown in terms of trust.