• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.199-214
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• 2012

$21^{st}$ century customer is voluntary actor, who has hegemony of communication based on digital surrounding. They are co-creator dismantling boundary between production and spending, and digital homonarrance of digital storyteller acting on the emotion. What is more, they prove the utility of 5 sense, value, experience, and story in market. 20th century Me generation is changing into We generation, who overcomes a sense of alienation and aim at smart life style for harmonious symbiosis with earth environments. Customer cultural trends are as follow as that 1) personalization of taste and experience, 2) spreading and sharing about personal use and experience, 3) consumption centered the value, 4) retreat and healthcare, 5) counter trend comes into the reaction about the forceful major trend. Contemporary customer changes essence of the life on the ground of emotion, symbol, image, and value not a commodity, function, and logos, and demands into change about direction of business to mostly enterprises. Customer's need and desire are on the increase as various emotion and value. Therefore, change of customer cultural trend is barometers for the growth and development of new fashion industry in $21^{st}$ century.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.4
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• pp.83-99
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• 2013

This research is a follow-up study about analysis on the many different customer groups and their various culture trend, which intends to realize diverse values depending on the sense. The purpose of this study was to develop direction forecast for the future fashion industry through consideration about the characteristics of contemporary fashion industry by the change of different customer's culture trend. And also try to find solution to survival strategy of fashion fields able to evolve with customer. Change of the customer's cultural trend draws a shift in policy in the 21st fashion industry as follows : 1) mash-up 2) complexation through decentering and blurring 3) invisible and immaterial value oriented 4) expansion of minor small market. Moreover, this shows sociocultural meaning as follows. First is spread of flexible and horizontal relationship through collaborative consumption and collaboration. Second is concentration on floating and indeterminate chance through dismantling of various different fashion categories. Third is formation of the permanent difference by selection and focus. Last is expansion of understanding about cultural-ecology. Customer cultural trend is 'meme' of cultural gene in fashion field, so it intends to co-evolute with customer by continuous change.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.27-37
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• 2022

Purpose: The purpose of this study is to derive various ways to realize customer satisfaction for the development of the service industry by exploring research trends related to customer satisfaction, which is presented as an important goal in the service industry. Research design, data and methodology: To this end, 1,456 papers with English abstracts using scienceON were used for analysis. Using Python 3.7, word frequency and co-occurrence analysis were confirmed, and topics related to research trends were classified through BERTopic and LDA. Results: As a result of word frequency and co-occurrence frequency analysis, words such as quality, intention, and loyalty appeared frequently. As a result of BERTopic and LDA, 11 topics such as 'catering service' and 'brand justice' were derived. As a result of trend analysis, it was confirmed that 'brand justice' and 'internet shopping' are emerging as relatively important research topics, but CRM is less interested. Conclusions: The results of this study showed that the 7P marketing strategy is working to some extent. Therefore, it is proposed to conduct research related to acquisition of good customers through service price, customer lifetime value application, and customer segmentation that are expected to be needed for the development of the service industry.

• Proceedings of the Safety Management and Science Conference
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• 2000.11a
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• pp.299-306
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• 2000

General definition of data mining is the knowledge discovery or is to extract hidden necessary information from large databases. Its technique can be applied into decision making, prediction, and information analysis through analyzing of relationship and pattern among data. One of the most important work is to find association rules in data mining. The objective of this paper is to find customer's trend using association rule from analysis of database and the result can be used as fundamental data for CRM(Customer Relationship Management). This paper uses Apriori algorithm and FoodMart data in order to find association rules.

• The Journal of Industrial Distribution & Business
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• v.15 no.3
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• pp.1-9
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• 2024

Purpose: This research aimed at understanding the dynamics of consumer behavior in the context of nostalgic desserts. The primary objective is to scrutinize how different attributes like quality, health, convenience, and trend influence customer satisfaction and their subsequent decision to repurchase nostalgic desserts. Research Method: The study leverages structural equation modeling, incorporating statistical tools such as SPSS and AMOS for a thorough analysis. It involves collecting data over a specified period, followed by correlation and trend analyses to deduce patterns and relationships. Results: The findings reveal that attributes such as quality, health, convenience, and trend significantly impact customer satisfaction and repurchase intentions. Interestingly, economic factors appeared to have a negligible effect on these decisions. The study offers a comprehensive understanding of the factors that influence consumer decisions in the context of nostalgic desserts, providing valuable implications for both academic research and practical marketing strategies. Conclusions: The insights garnered from this research are pivotal for formulating marketing strategies for nostalgic dessert brands. It underscores the importance of accentuating quality, health, and trend in product offerings to boost customer satisfaction and encourage repurchases. The study also sheds light on the evolving nature of consumer preferences and the integral role of nostalgia in shaping purchasing behaviors.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.45-62
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• 2008

This review examines the rapid growth of qualitative and quantitative of telecommunication industry for past couple of years from customer's viewpoint. Most of the telecommunication products were positioned in the market by the businesses and government's support, but the entity of telecommunication products were never interpreted from the user's viewpoint. Even though, various kinds of telecommunication services have been actively discussed by businesses, government, and IT professionals, it has not been sufficiently discussed by the marketing academia where they need to focus a lot on customer's utility. For the purpose of providing an insight of the telecommunication service marketing strategy, this study looked over old and new directions of growth, failure and evolution of services by focusing on two main pillar of communication business, which is high-speed internet and mobile phone service. Additionally, the research explains and mentions the limit and trend of the telecommunication service marketing, and the future research task that needs to be solved.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.1
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• pp.96-102
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• 2013

This paper makes a detailed comparison between two metrics designed for measuring customer's satisfaction in the retail industry. The first metric, which is called the customer service level, has not been widely used due to the intrinsic requirement on the parameter assumption(s) of the demand distribution. Unlike the customer service level metric the in stock ratio metric does not require any requirements on the demand distribution. And the in stock ratio metric is also very easy to understand the meaning. To develop the detailed planning activities for business with the in stock ratio metric on hand one should collect some information as following : 1) POS (Point of sales) data, 2) Inventory Data 3) Inventory Trend.

• Journal of The Korean Digital Architecture Interior Association
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• v.9 no.1
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• pp.11-18
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• 2009

Recently major construction companies are building Housing Cultural Center instead of existing model house or housing gallery for accomplishing new marketing strategy. This Housing Cultural Center are different with existing model house or housing gallery on scale, spacial composition and operating program. And Background of differentiation is caused by change of housing market's environment, consumer's awareness level, service and marketing strategy. Because existing model house or housing gallery can not supply various consumer's needs and change of awareness level. Therefore, recent Housing Cultural Center is focused on cultural marketing for rapidly adjusting to new customer's need, including new customer acquisition and old customer retention. In accordance with this situation, it is very important to analyze out type and trend of Housing Cultural Center as facility for enlargement of cultural service and companies's social role for consumer. Therefore, the purpose of this study is an analysis about the trend of Housing Cultural Center as cultural space and a presentation of concept, function and direction when other construction companies build Housing Cultural Center hereafter.

• Journal of Distribution Science
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• v.7 no.2
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• pp.89-119
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• 2009

The purpose of this research is showing an appropriate way of maximizing customer service and establishing VOC system by analyzing different voices from complaining customers as well as loyal customers. This research is also aimed at figuring out how companies can implement effective service marketing methods in the field complying with customers' needs and how they can survive in the competition. The range of research is confined to 5 marketing companies and their web-sites on which customers can get logged and directly post their claims. These web-sites showed how those 5 companies cope with customer claims. A questionnaire research was made in A's store to evaluate customer satisfaction. These are conclusions drawn by this research. First, prompt reactions of sincerity to customers' claims contribute to building favorable corporate images. Second, the preference to VOC channels varies with age and sex. Marketers should implement respectively different channels for customers under age 30 and those over age 40. Women have a tendency to prefer instant phone conversations and want to have their claims well listened to. Third, a series of shift in customer trend drives companies into establishing their own interactive VOC systems based on customers' preferences. Customer-oriented management has become a key factor for survival in recent intensely competitive market situation, as the web-based e-commerce market has been rapidly growing accompanied with a dramatic advance of network marketing methods. This research suggests some practical methods to establish a customer-oriented VOC system that can be easily adopted in the field.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.121-124
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• 2003

It is a major concern of e-shopping mall managers to satisfy a variety of customer's desire by recommending a proper commodity to the expected purchaser. Customer information like customer's fondness and idiosyncrasy in shopping has not been used effectively for the customers or the suppliers. Conventionally, e-shopping mall managers have recommended specific items of commodities to their customers without considering thoroughly in a customer point of view. This study introduces the ways of a choosing and recommending of commodities for customer themselves or others. A similarity measure between one member's idiosyncrasy and the other members' is developed based on the rule base and the case base. The case base is improved by recognizing and learning the changes of customer's desire and shopping trend.