• Journal of Distribution Research
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• v.9 no.2
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• pp.29-43
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• 2004

This research analyzed multi-channel strategy from the viewpoint of the customer relationship management. We hypothesized that the purchase frequency, monetary, purchase quantity of the existing customers should have increased after they used multiple channels of a company for shopping, All the hypothesis were supported in an empirical test using the customer database of a Korean TV home-shopping company, The result showed that the multi-channel strategy can be used to increase the life-time value of existing customers. Still there were a lot of customers who insists using traditional channel, which calls for a new strategy inducing them to use multi- channel for shopping.

• 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.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.3
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• pp.23-37
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• 2012

As Customer Relationship Management (CRM) strategy is becoming a core competence more recently, many companies want a reliable CRM assessment system which enables measuring and diagnosing corporate customer strategies for building an optimized CRM strategy. However, there has been short of researches on developing the CRM diagnosis methodology that is directly applicable to real practices. Drawing upon the theoretical framework of CRM scorecard, we developed and suggested a corporate CRM diagnosis methodology that can systematically understand and assess the corporate CRM capability and performance, guiding their future directions. Companies can search the important but weak areas among various CRM strategy subjects through the proposed diagnostic procedures. This framework has a hierarchical structure that has four evaluative domains each of which has several evaluative subjects consisting of many evaluative themes: the score of upper factor is the weighted average of its subordinate factor scores. And the score of each evaluative theme is the weighted average of quantitative and qualitative evaluative indexes. Quantitative indexes are calculated by analyzing customer and sales data and qualitative ones are derived from survey data. Each evaluative index has more than one measure and its score can be derived from its own formula consisting of the measures. To prove the concept, we applied this framework to a real company and concluded that it might be appropriate to understand the corporate CRM strategy situation, find the pain points, and resolve them for better CRM implementation.

• Journal of Information Technology Applications and Management
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• v.19 no.2
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• pp.97-116
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• 2012

Since 2008 when IPTV service entered the broadcasting market, the competition among interactive broadcasting media has been growing more and more fierce. To make a market strategy under the harsh competition, this study tried to make an IPTV customer segmentation based on the characteristics of interactive broadcasting media. From previous literature, this study drew five characteristics of interactive broadcasting media : ease of use, two-way communications, active control, variety of content, and economic efficiency. Two-step clustering based on these characteristics identified four customer segments. There were statistically significant differences in the five characteristics among the customer segments. This study profiled the customer segments and proposed competitive strategies for each customer segment.

• Korean Journal of Construction Engineering and Management
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• v.6 no.4 s.26
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• pp.113-121
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• 2005

The construction industry has also enolved according to the changes and requirements, therefore it coms to manage the relationships with customers. However, the customer management in the construction industry has not been quite genuine, since it has been mainly oriented for public relations and advertisements of companies. The genuine customer management should not only systemize customer data but also provide strategy to utilize it through managing relationships with customers as well as customer themselves. In this research, I have focused mainly on Model House. Marketing is very important planning & coordination to project. And I know that the development power of new product and promotion strategy as to customer needs and wants. The key factor in housing industry is the analysis of customer's needs that key success factor is execution of action plan to our customer. His success in business is in result of satisfaction for our high quality customer. Therefore the CRM system is add to customer satisfaction and increase earning power to a business

• Culinary science and hospitality research
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• v.12 no.1 s.28
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• pp.51-67
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• 2006

The purpose of this study is to examine the correlation between differentiation strategy of customer’s satisfaction and the effects on performance in family restaurants. Above all, looking into a device to take an internal competitive domination factor of family restaurants is the core purpose of this study. To achieve the purpose, a survey was conducted to 278 customers of family restaurants in Seoul. The result of this survey is as follows. First, the interior of family restaurants and responsibility of their employees had an effect on customer’s satisfaction. Secondly, menu/atmosphere satisfaction and employee’s appearance influenced quality performance of restaurants. In searching information on restaurants, reference group and visiting experience were highly recommended, leading to the importance of word of mouth.

• Korean Journal of Construction Engineering and Management
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• v.4 no.2 s.14
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• pp.82-90
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• 2003

An enterprise has evolved to meet social changes and customers' requirements. The construction industry has also evolved according to the changes and requirements, therefore it comes to manage the relationships with customers. However, the customer management in the construction industry has not been quite genuine, since it has been mainly oriented for public relations and advertisements of companies. The genuine customer management should not only systemize customer data but also provide strategy to utilize it through managing relationships with customers as well as customers themselves. In order to apply customer relationship management (CRM), which is a more aggressive and structured business strategy, this paper tries to redefine customers in the construction industry; identifies differences from the existing CRM business strategy; and suggests a desired CRM business strategy and it roles in the construction industry.

• Korean Management Science Review
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• v.27 no.1
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• pp.33-43
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• 2010

This paper presents a method for the estimation and analysis of the economic value of weather forecasts for CRM decision-making problems in the leisure industry. Value is calculated in terms of the customer's satisfaction returned from the user's decision under the specific payoff structure, which is itself represented by a customer's satisfaction ratio model. The decision is assessed by a modified cost-loss model to consider the customer's satisfaction instead of the loss or cost. Site-specific probability and deterministic forecasts, each of which is provided in Korea and China, are applied to generate and analyze the optimal decisions. The application results demonstrate that probability forecasts have greater value than deterministic forecasts, provided that the users can locate the optimal decision threshold. This paper also presents the optimal decision strategy for specific customers with a variety of satisfaction patterns.

• Korean Management Science Review
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• v.26 no.1
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• pp.7-20
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• 2009

The framework of "blue ocean strategy (Kim and Mauborgne, 2005)" applies to not only business firm level but also region or regional industry level. The paper suggests an approach of survey-based blue ocean strategy formulation. The result from survey on customer group and non-customer group gives information on positions of value curves for regions on strategy canvas and hints on how to reposition the focal region's value curve for both increases in value for customers and decreases in cost for local government, i.e., value innovation. In the context of rafting industry in Korea, this study shows the process how blue ocean strategy can be formulated with results from the survey on customers and business people in rafting industry. Relative positions of value curves on strategy canvas and importance scores for strategy elements provides the local government in region A with implications on which elements to raise or to reduce to create "blue ocean" in rafting industry under fierce inter-region competition.

• International Journal of Reliability and Applications
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• v.18 no.1
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• pp.9-20
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• 2017

In this paper, we consider a renewable repair-replacement warranty strategy with age-dependent minimal repair service and propose an optimal maintenance model during post-warranty period. Such model implements the repair time limit under warranty and follows with a certain form of system maintenance strategy when the warranty expires. The expected cost rate is investigated per unit time during the life period of the system as for the standard for optimality. Based on the cost design defined for each failure of the system, the expected cost rate is derived during the life period of the system, considering that a renewable minimal repair-replacement warranty strategy with the repair time limit is provided to the customer under warranty. When the warranty is finished, the maintenance of the system is the customer's responsibility. The life period of the system is defined and the expected cost rate is developed from the viewpoint of the customer's perspective. We obtain the optimal maintenance strategy during the maintenance period by minimizing such a cost rate after a warranty expires. Numerical examples using field data are shown to exemplify the application of the methodologies proposed in this paper.