• The Journal of Industrial Distribution & Business
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• v.2 no.1
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• pp.5-15
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• 2011

Prior to the introduction of the CRM, we need to analyze the characteristics and the situations of the company, and should establish a clear vision of the CRM. And each company should identify elements and technologies for introducing the most suitable CRM for them, and optimize them, with long-term perspective. In addition, it requires the implementation strategy which integrates the existing company's routine marketing activities with the concept of the CRM. According to the implementation strategy, the company should improve the business process which is the most effective in investment step by step, and the information system strategy, which develops system investment gradually, should harmonize with it. First, we recognized that raising the company value is important by maximizing customer lifetime value (LTV) by understanding customer needs, and achieving the company's goal through customer satisfaction. Second, we understood that adopting the CRM should be accompanied by changes in the structure, business process and customer contact channels, and it can be successfully integrated with business when it gets proper understandings and attentions of the management. Third, the reality is that there are few cases of successful implementation of domestic companies, and some companies that successfully implement the system mean nothing but implement the solution for developing the CRM. Therefore, it needs to be observed for the long haul, and it seems that we need to approach more systematically to implementation cases for each industry about implementation of the CRM. Fourth, the CRM is no longer the preserve of major companies, and it is the time that medium and small sized enterprises also need it. Taking lesson from Switzerland's small size store merchants who successfully adopt right size of the CRM for their business, for domestic medium and small sized enterprises, the necessity to develop business through developing the CRM models which fit their situations and maintaining relationships with customers has been grown. Fifth, for adopting the CRM business processes, changing or converting the CRM system to the model which fits the company's situation is important rather than applying the advanced company's CRM system model. In other words, the CRM solution which can maximize their own strength by developing the CRM program that makes the most of features and characteristics of the company should be adopted.

• Management & Information Systems Review
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• v.31 no.3
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• pp.1-19
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• 2012

This study is the research about the internet marketing strategy and the impact factors of psychological well-being of customers of restaurants. For the purpose of study, firstly, the paper was carried out in order to verify the cause and effect relationships of life satisfaction and psychological well-being of the customers in the food service industry. The customers of restaurants in Busan are the objectives for which the survey for empirical analysis was conducted. The result of the testing of hypothesis showed that life satisfaction will have positive influences on psychological well-being, it reveals that life satisfaction has positive influences on three factors of psychological well-being such as personal growth, self acceptance, independence. However, factor of autonomy is rejected. Secondly, the results of the study suggest the importance of introducing variegated internet marketing programs and deciding the appropriate information contents for the customer to activate the use of hands on restaurants. Internet information contents on customer satisfaction and customer loyalty to have a good understanding of the attitude will improve of life satisfaction and psychological well-being of the customers. Strategic information contents of internet marketing for customers of the restaurants must be consider "CRM(customer relationship management)".

• Fashion & Textile Research Journal
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• v.6 no.2
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• pp.195-204
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• 2004

As Korea fully entered the fashion industry in the early 1980s, the casual lifestyle trend has led the casual trend of fashion, and segmentation and specialization of the casual wear market began from the early 1990s. As of 2003, which is twelfth year after On & On's launch in 1992, this brand has succeeded in advancing into the Chinese market and has also arisen as a successful brand in the domestic market. The present research was carried out by consulting on the proposal of the marketing strategies for On & On. Firstly, in 1994 the marketing research for the consumers visiting the shop was carried out. A second investigation was conducted on the basis of the first analysis in 2003, ten after the first investigation. This research was performed to propose the future marketing strategies for On & On through an analysis of the changes of On & On consumer's purchase. This research established marketing strategies for the young casual brand.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.5 s.164
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• pp.705-716
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• 2007

The purpose of this study was to examine the relationship structure in TV home shopping focusing on purchasing frequency and gender. Subjects for this study were 300 customers who had purchased fashion products in TV home shopping. For date analysis, factor analysis, t-test, correlation analysis and path analysis were used. As the result, when comparing groups by the purchasing frequency, the group which had higher purchase experiences had significant relationship between trust and commitment than other group of lower purchase experiences. There were statistically significant differences in 'service', 'benefits', 'influence', 'security' variables between purchasing frequency groups. Also when comparing groups by the gender, both men and women had 'relationship maintenance intention' in CRM. However, women had the effects from 'trust' to 'commitment', while men had not effects. However, there were statistically significant differences in 'service', 'information', 'reputation', 'influence' variables between men and women. Based on these results, TV home shopping fashion marketing strategies would be suggested.

• Journal of Fashion Business
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• v.11 no.1
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• pp.86-96
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• 2007

The purpose of this study was to examine which variables affect customer relationship management in discount store focusing on satisfaction, trust and commitment. A total of 360 participants who had purchased fashion products in discount store were used in this study. The data was analyzed by factor analysis, correlation analysis and regression analysis using SPSS program. As the result, benefits, information, reputation, product, location, salesperson and price factor were extracted. The price, information, reputation, product and location variables had the effects on satisfaction, especially, price had the major effects on satisfaction. The satisfaction, information, salesperson, price and location had the effects on trust. The satisfaction, trust, information, benefits and product had the effects on commitment. The reputation variable had direct effect on relationship maintenance. Also, satisfaction, trust and commitment had the effects on relationship maintenance. Specifically commitment had higher effect on relationship maintenance than satisfaction and trust did. The results of this study would provide CRM marketing strategy for fashion marketers of discount store.

• Knowledge Management Research
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• v.19 no.4
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• pp.59-76
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• 2018

With the arrival of the big data era, customer data and data mining analysis have gradually dominated the process of Customer Relationship Management (CRM). This phenomenon indicates that customer data along with the use of information techniques (IT) have become the basis for building a successful CRM strategy. However, some companies can not discover valuable information through a large amount of customer data, which leads to the failure of making appropriate business strategy. Without suitable strategies, the companies may lose the competitive advantage or probably go bankrupt. The purpose of this study is to propose CRM strategies by segmenting customers into VIPs and Non-VIPs and identifying purchase patterns using the the VIPs' transaction data and data mining techniques (K-means clustering and association rules) of online shopping mall in Korea. The results of this paper indicate that 227 customers were segmented into VIPs among 1866 customers. And according to 51,080 transactions data of VIPs, home product and women wear are frequently associated with food, which means that the purchase of home product or women wears mainly affect the purchase of food. Therefore, marketing managers of shopping mall should consider these shopping patterns when they build CRM strategy.

• The Journal of Industrial Distribution & Business
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• v.13 no.4
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• pp.1-14
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• 2022

Purpose: The purpose of the study is to explore the application of Augmented Reality (AR) technology to enhance interactivity and decision making via technology-enabled experience particularly, in the context of COVID-19. This study investigated effects of perceived utilitarian value, hedonic value, social value, and perceived risk on customer satisfaction with AR technology that are rarely examined in previous studies. Research design, data and methodology: Online survey data was used in the study. This study applied factor analysis and regression analysis to test the hypotheses and employed ANOVA and mediation effect analysis to explore additional findings. Results: The results suggested that customers' perceived usefulness, arousal, social preference, innovativeness, financial risk, and performance risk have statistically significant effect on customer satisfaction. Conclusions: The findings of the study provided managerial and policy implications to develop and advertise the introduction of AR technology with the emphasis on the practical and utilitarian benefits of the technology. The result of this study highlighted the importance of customer relationship management by providing advanced services to customers through AR technology. This study contributes to technology-enabled CRM literature by providing the empirical result to verify the assumption that AR technology can be an effective tool of firms' CRM strategy

• CRM연구
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• v.2 no.2
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• pp.71-88
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• 2009

The purpose of this thesis is to examine the effects of e-CRM activities by the internet shopping mall companies on the purchase activities of purchase customers and the potential customers. The internet shopping companies utilize e-CRM to systematically identify customers' varying demands, and to utilize the results as marketing tools, thus producing a significant effect on the potential customers by generating customer feedback through e-Community. Contrary to their intention, however, cognitive dissonance can occur through e-Community, which may lead to customers' complaints. If these complaints are not properly managed and settled in a timely manner, they can be transferred to other potential customers, and the conformity phenomenon could be created by other complaining customers. Findings obtained through this thesis are as follows: If cognitive disharmony is created by customers who purchased products through the internet shopping malls, this can lead to private complaining behaviors, and subsequently, these behaviors are formed through e-Community. If the internet shopping mall companies do not take any timely and proper measures to intervene in the stage of private complaining behaviors in the first place, these behaviors will immediately escalate into the public complaining behaviors. Furthermore, the complaints will be transferred to other potential customers, ultimately resulting in their swift expansion. In other words, contrary to intention of the internet shopping mall companies, e-CRM does not facilitate the potential customers purchase decision, it rather affects them to postpone or withdraw their purchase decision. Accordingly, the internet shopping mall companies are required to manage e-Community with extreme care, and they should promptly respond to the complaining customers so that e-Community can function properly.

• The Journal of Information Technology
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• v.7 no.4
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• pp.71-87
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• 2004

The present paper attempts to describe Area Marketing and develop an empirical model for Alcoholic Company. The focus is given on the several area in Korea. With both empirical case studies ad literature review, we aim to develop empirical case and propose a desirable area marketing strategy for specific area Area Market Research was adopted for several Area as an environment analysis and the action plan about sales promotion that each area was developed. After It was implemented for 5 years(1999-2003). The Jiro made a results as follow: The first is sales volume. It was risen Market Share 55.3%(2004.11) more than 38%(1998). The second is Relationship with retailer(wholesaler) and CRM(customer relationship management effects: Loyal customer was increased). The last one is Brand Power which was extended than before.

• Korean Journal of Artificial Intelligence
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• v.5 no.1
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• pp.10-17
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• 2017

This study is the first attempt to raise face recognition ability through machine learning algorithm and apply to CRM's information gathering, analysis and application. In other words, through face recognition of VIP customer in distribution field, we can proceed more prompt and subdivided customized services. The interest in machine learning, which is used to implement artificial intelligence, has increased, and it has become an age to automate it by using machine learning beyond the way that a person directly models an object recognition process. Among them, Deep Learning is evaluated as an advanced technology that shows amazing performance in various fields, and is applied to various fields of image recognition. Face recognition, which is widely used in real life, has been developed to recognize criminals' faces and catch criminals. In this study, two image analysis models, TF-SLIM and Inception-V3, which are likely to be used for criminal face recognition, were selected, analyzed, and implemented. As an evaluation criterion, the image recognition model was evaluated based on the accuracy of the face recognition program which is already being commercialized. In this experiment, it was evaluated that the recognition accuracy was good when the accuracy of the image classification was more than 90%. A limit of our study which is a way to raise face recognition is left as a further research subjects.