• Asia pacific journal of information systems
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• v.11 no.4
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• pp.27-41
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• 2001

CRM is at the core of any customer-focused business strategy and includes the people, processes, and technology questions associated with marketing, sales, and service. In today's hyper-competitive world, organizations looking to implement successful CRM strategies need to focus on a common view of the customer using integrated information systems and contact center implementations that allow the customer to communicate via any desired communication channel. A CRM solution contains a number of sophisticated tools that enable to extract detailed information about customers. This information can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customers' needs and target new products to particular customer groups. This paper presents an approach for forming the product-customer groups using neural networks for customer relationship management. The Carpenter-Grossberg's neural network, which has been used for manufacturing cell formation in group technology, is modified and applied for product-customer group formation. As a result of numerical experiments, it is also useful for more complex problems in which customers have different preferences for each product.

• Journal of Korean Society for Quality Management
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• v.32 no.1
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• pp.75-91
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• 2004

The Internet has produced a great variety of VOC data. However, they are hardly helpful for CRM because they are not integrated with VOC data of the related businesses yet. This paper has set up a system for the said VOC data to actually become helpful for CRM The system has two aspects. From the aspect of products, the customers' needs for products will be analyzed to produce what they actually want. From the aspect of customers, on the other hand, decent relationships with them shall be maintained constantly by thoroughly analyzing all the related data. The analyses on both of these aspects have the advantage of maximizing customer satisfaction by active CRM that makes us recognize what customers prefer, or complain of in advance and then provide them with tailor-made service.

• Journal of Digital Convergence
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• v.2 no.1
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• pp.57-73
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• 2004

Due to the rapid development of Information Technology and the Internet, e-business has bloomed and prevailed recently. As the result of this phenomenon, enterprises introduce CRM as a new process accessible to customers. The purpose of this study is to examine the factors affecting the performance of CRM based on precedent theoretical studies. So, the empirical test is conducted to various hypotheses related to the research model. 206 questionnaires for this study are collected. The result of how the organizational characteristics influence on the performance of CRM shows that they have a positively significant effect on it in order of expert security, top management's support and customer information-centric culture, and department collaboration. Evaluation and compensation system don't influence on the performance of CRM directly.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.64-70
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• 2019

In this study, the effect of customer relationship management on the management performance of productive welfare institutions was to be analyzed empirically. For this study, data were collected from 129 participants of productive welfare institutions in Busan. The results of this study are as follows. First, contact services and communication have a statistically significant impact on the financial performance of productive welfare institutions. Second, contact services and communication have a statistically significant impact on non-financial performance of productive welfare institutions. Based on the results of this study, the following suggestions are made. First, institutionalization of CS(customer service) education should be carried out in order to improve the management performance of productive welfare institutions. Second, participants' emotional support programs are needed to improve the management performance of productive welfare institutions.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.1-7
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• 2015

Policy Customer Relationship Management(PCRM) is a customer relationship management of public institution. Most of public servants at the 37 government ministries, however, has used PCRM as a simple tool for email service and online survey. This study shows government officials should understand the fact that PCRM is not a tool but a management system for general public; and utilize PCRM in each and every government PR practices. When using the PCRM indispensable to be shared with the PR of public sector, PCRM PR will be activated. The study also furnish various strategies and tactics for government PCRM PR.

• Journal of Internet of Things and Convergence
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• v.7 no.3
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• pp.39-46
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• 2021

This study aims to empirically analyze the effect of CRM on the management performance of senior club market type senior job business. The purpose of this study was to provide basic data for the economic income creation of senior club market type senior job project. The results of this study are as follows: First, as a result of verifying the difference in management performance according to sociodemographic characteristics, there was a difference in age, academic background, and monthly average income. Second, the contact service and communication of senior club market type senior job business had a positive effect on the management performance. Based on the results of this study, the following suggestions are made. First, the database(DB) should be constructed reflecting the personal characteristics of consumers and the big data and artificial intelligence analysis should be utilized. Second, education using Internet environment such as YouTube and ZOOM should be strengthened and communication management should be strengthened based on information collected through customer monitoring.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.280-284
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• 2003

효과적인 CRM(고객관계관리)을 위해서 고객의 가치를 파악하는 것은 매우 중요하다. 모든 고객이 같은 가치를 제공하지 않기 때문에 차별적인 서비스를 통해 장기적인 관점에서 기업의 수익을 최대화한다는 것이 CRM의 기본전제가 되기 때문이다. 기존의 고객가치를 측정하는 것은 LTV(고객생애가치)를 중심으로 연구되어 왔다. 그러나 이러한 LTV는 환경의 변동성, 고객의 변동성 등 많은 불확실성을 안고 측정될 수밖에 없고 단순히 과거 기업에게 제공된 과거 수익의 추이를 고려하기 때문에 실제 세분화 시 간과하게 되는 점이 많다. 따라서 본 논문에서는 단기적인 활용관점에서 고객의 이탈률(Churn Rate)을 고려하여 고객의 가치를 현재가치, 잠재가치로 나누어 측정하고 이를 통해 고객 세분화의 방안을 제시해 본다.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.108-109
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• 2007

• Digital Contents
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• no.12 s.79
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• pp.80-87
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• 1999

인터넷을 이용한 마케팅 커뮤니케이션은 전통적 방법과는 달리 고객에 따라서 개별적으로 대응해서 다양한 정보를 제공할 수 있는 다수 대다수 모델(many-to-many)이기 때문에 기업의 정보를 알리며, 상기시키고 설득하므로 매스 마케팅과 일대일 마케팅 모두를 완벽하게 할수 있는 적극적인 수단이다. 따라서 이러한 인터넷은 채널 매체로서 중요한 의미를 지니며 고객과 기업 모두에게 유용한 편익을 제공한다.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.67-78
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• 2012

Recently, the interesting of customers in online auto insurance is rapidly increasing. The one of major reasons is economical benefit. offline auto insurance products as a service formed high price. However, online auto insurance relatively formed low price. Thanks to these characteristics of online auto insurance has gained great popularity. Therefore, in purchasing online auto insurance, consumers carefully buy products of auto insurance. In this study, we classified the $2{\times}2$ matrix (online preference group, economic pursuit group, convenience oriented group, and carefulness approach group) in online auto insurance consumers focusing on the perceived benefits and price acceptance. From an economic point of view of consumers around the perceived benefits and price acceptance, we analyzed the relationships among easy of use, usefulness, attitude, and purchase intention in automobile e-shopping mall. The results of this study will provide the useful implications for the planing CRM(customer relationship management) strategy for improving purchase intention of customers to online insurance companies.