• Proceedings of the Safety Management and Science Conference
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• 2001.05a
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• pp.269-273
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• 2001

Nowadays the most important thing is not to gather new membership but to manage existing membership with useful information in electronic commerce system. To satisfy various customers, it is vital to understand and analyze customer's need. This paper presents the modeling method for efficient marketing system in mobile commerce.

• Korean Journal of Human Ecology
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• v.13 no.3
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• pp.453-466
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• 2004

This study reviewed the marketing strategies of domestic banks and introduced the theoretical framework of CRM model. The market segmentation for consumers in several domestic banks was compared and whether those informations were useful for consumers to evaluate the banks fit to their needs and for bank managers to promote their marketing strategies were also analyzed. The results of study showed that the domestic banks seemed to be apparently different in consumer services. This study showed that their private strategies must be somewhat different and it was important to search and keep those VIP's who contributed to their business. It was recommended to build the PB(private banking) center to counsel those VIP's and to analyze customers' characteristics.

• Asia pacific journal of information systems
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• v.12 no.3
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• pp.71-88
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• 2002

In this paper, intelligent marketing and merchandising methods utilizing data mining and Web mining techniques are proposed for online retailers to survive and succeed in gaining competitive advantage in a highly competitive environment. The first part of this paper explains the procedures of one-to-one marketing based on customer relationship management(CRM) techniques and personalized recommendation lists generation. The second part illustrates Web merchandising methods utilizing data mining techniques, such as association and sequential pattern mining. We expect that our Web marketing and merchandising methods will both provide a currently operating Internet shopping mall with more selling opportunities and give more useful product information to customers.

• Journal of agriculture & life science
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• v.45 no.5
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• pp.127-143
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• 2011

Assessment of APC has focused on large size, specialization, and structuralization based on business performance. In the future, first, it should be complemented to have correlation with management efficiency. Second, because of the rate of weight for each index, it is necessary to develop a specific index or adjust allotting of marks so that there can be correlation between indexes. Third, since APCs have high values in the composite assessment and low values in the sales amount, it is necessary to develop various kinds of indexes, including the index to evaluate processing value-added, that of customer satisfaction with assessment, and that of customer relationship maintenance performance through introduction of a customer relationship management system (CRM), in pursuit of balance. Lastly, the results of this study are expected to be able to help make APCs efficient in relation to integration of production organizations so that they will convert and develop into a basic product processing center in coping with changes in internal and external environment of agricultural marketing.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.847-858
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• 2005

The purpose of this study was to examine consumer purchasing behavior of the online shoppers particularly using online clothing shopping mall and to analyze the key factors of both satisfaction and dissatisfaction of their purchase and to compare the both group by lifestyle segmentation in order to provide the e-CRM strategies. Focus group interviews and survey were conducted in December, 2003 with 30 online shoppers who have an experience of online clothing purchasing. The data analysis included the content analysis, descriptive statistics, K-means and factor analysis. Key findings of the study were as follows: First, online shoppers spent average 3.5 hours on internet and usually purchased clothing while surfing the web. Second, consumers were satisfied with reasonable price and customized service but dissatisfied with delayed delivery, limited product availability in both size and color and return policy. Third, according to the lifestyle segmentation, online shoppers could be characterized as 'Luxurious', 'Trendy' and 'Prudent' 'Luxury-oriented consumers', who value fashion, diet and social activity, tended to purchase basic yet high quality products. However, 'Trend-oriented consumers', to whom fashion trend was most important, purchased various latest fashion products with reasonable price and showed generally positive response to emails sent by e-retailers. And lastly 'Prudence-oriented consumers', whose buying decision was based solely on practicality, appeared to be reluctant to purchase clothing online while seeking more credible information and competitive price. In conclusion, this study has its significance in that it helps promote relationships between customers and e-retailers by providing differentiated e-CRM strategies through each customer groups 'lifestyle segmentation and consumer purchasing behavior analysis.

• Journal of the Korea Society of Computer and Information
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• v.15 no.3
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• pp.121-128
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• 2010

Whenever and wherever, recognizing location of object such as human as well as things, ubiquitous Location-Based Service which provides useful service based on this are rising as an important service. In this paper, we implemented customized real time 1:1 e-CRM system that can communicate with user's mobile phone through using Location-Based Service of mobile phone. Among various scenarios that are applicable to designed system, development and test were conducted based on scenario that provides shopping information and discount information to customers through SMS as they approach to vicinity of large discount store and allow them to download discount coupons through Call Back. The suggested system will be applied to various service event and can be used as a customized real time marketing method according to user's personal activity area.

• The Journal of Industrial Distribution & Business
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• v.14 no.6
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• pp.1-8
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• 2023

Purpose: The marketing practice for the leisure and sports industry is a complex process that requires a thorough understanding of the audience, their needs and motivations. Thus, this niche market is focused on specific products, services, or experiences. The present research explores and suggests meaningful strategies based on the literature textual dataset to provide how to attract consumers in this sector. Research design, data and methodology: We have conducted the 'Secondary Literature Analysis', reviewing and summarizing numerous findings in the relevant prior studies. As a result, we could obtain a total of 15 significant textual resources which are from only peer-reviewed journal article. All resources had a high quality of the instrument to prove their results. Results: The findings of this research pointed out that marketers in leisure sports sector need to communicate via following methods: (1) Understanding the Customers' Needs and Wants, (2) Social Media, (3) Advertising, (4) Promoting Brand Affinity, (5) Offering Discounts, and (6) Providing Value-Added Services. Conclusions: The present research concludes that the marketing practice in the leisure and sports industry should be performed using various channels. In addition, marketing practitioners are supposed to check if tailored marketing messages are compatible with products, services, and events that relate to their target audience's interests.

• Journal of Fashion Business
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• v.11 no.1
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• pp.97-107
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• 2007

The purpose of this study was to examine the relationship structure in discount store focusing on age. Subjects for this study were 360 customers who had purchased fashion products in discount stores. For date analysis, $x^2$-test and regression analysis were used. As the result, when comparing groups by the age, women in their 20s, 30s and 40s had 'relationship maintenance intention' through satisfaction, trust and commitment. In the case of women in their 20s group, the information, reputation, product salesperson and price variables had the effects on satisfaction. The information, location, salesperson variable had direct effect on relationship maintenance. In the case of women in their 30s group, the benefits, information, reputation and price variables had the effects on satisfaction. And the information, salesperson variable had direct effect on relationship maintenance. In the case of women in their 40s group, the information, location and price variables had the effects on satisfaction. The reputation variable had direct effect on relationship maintenance. Based on these results, fashion marketing strategies of discount store would be suggested.

• 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.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.371-375
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• 2004

As the importance of customers has been emphasized, most companies began to operate various CRM strategies to understand and manage customers' needs. The investments that businesses are making are categorized into four areas. The first area of investments is in contact centers and channels to manage the voice of customers. The second area is in loyalty management, target marketing using segmentation, profiling, profitability analysis and targeting. The third one is involved in the measurement of customer satisfaction. The last one is planning to deliver products and services to appropriate customers. Despite the various efforts, it is lowering the efficiency of these investments and interrupting their value creation that these are being operated independently in different departments. All CRM activities of an enterprise should be processed interactively and consistently for a common goal; value creation, to overcome these shortcomings. In this research, we propose CS Road Map that systematizes the four kinds of CRM activities; VOC management, survey activities, loyalty management and planning. Under this road map, these four activities will achieve the improvement of service qualities, customer satisfaction and further value creation. This paper demonstrates the road map that is built for a service industry emphasizing the objectives and strategies of the four categories.