• Journal of Korean Society for Quality Management
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• v.28 no.3
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• pp.133-144
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• 2000

Many organizations have developed their own information systems not only for internal efficiency but also for effectiveness of external customer services. One of the most effective service tools for their customers is the use of information technology. The web technology is rapidly becoming one of the most effective tools for online customer services. In order to gain competitive edge, organizations must have effective web site planning methods for their customer service. A study on traditional information systems planning methodologies has been conducted and they are compared with web site planning techniques. Cases of web sites in order to Improve customer relationship are analyzed. finally, a new conceptual framework for web site planning strategy for e-CRM is proposed in this paper. In order to support effective web site planning, online customer contact points and online service activities are defined and classified as several stages. And, web site strategies corresponding to each customer service activities are developed and proposed, With this framework, organizations can build competitive web strategies for improving their online customer relationships, thereby increasing customer satisfaction.

• The Journal of Information Systems
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• v.32 no.1
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• pp.201-221
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• 2023

Purpose Customers consider the overall experience with the company as important as the quality of the product, and companies are also paying attention to creating long-term relationships with customers through optimal customer experiences. In this study, we propose a customer experience management process called 'CX-Q', which combines customer journey map and Q-methodology to understand the importance of customer experience based on the overall customer experience. Design/methodology/approach. CX-Q is a process that combines Q-methodology and customer journey maps, allowing stakeholders to explore and improve customer experiences at each contact point while engaging with brands, products, and services. It also enables them to derive customer experience insights and important management points for each segment. To demonstrate the usefulness of the proposed CX-Q, this study analyzed the experience of customers who used the Airbnb travel platform service as an example, applying the CX-Q process. Findings A total of four customer segments were derived, and it was found that each segment valued different attributes during the customer journey stage. The customer experience analysis using the CX-Q process proposed in this study is expected to help understand customers in more detail and assist in managing and improving customer experience.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.2
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• pp.239-249
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• 2003

The purpose of this research was to investigate influential factors for shopmaster's CRM (Customer Relationship Management) in the designer brand products, and to indicate the future fashion marketing strategies. The questionnaires were distributed to 74 shopmasters of the Designer shop in domestic L. S and H Department stores. Descriptive statistics, factor analysis, and path analysis from Lisrel program were used to analyze the data. The results were as follows; Firstly. for shopmaster's CRM variables, four factors of customer management variables were found and labeled as interest, DB construction, contact opportunity, and materials. Also, four (actors of shopmaster's knowledge regarding apparel materials were found and labeled as professionalism, manner, sense, and persuasion. For service variables, four factors such as precision, variety, rapidity, positiveness, and convenience of shopping were found. Secondly, for the results of hypothesis, all of the independent variables had direct influences on forming the relationship with customers. Therefore, it is concluded that the main elements of Shopmaster's CRM are highly important variables in customer relationship marketing strategy.

• 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.

• Knowledge Management Research
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• v.19 no.1
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• pp.147-174
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• 2018

Recently, firms have been putting forth significant efforts to fulfill various demands and high expectations of customers. The role and importance of customer centers as a direct contact point for customer relationship management are more emphasized than previously. A customer center draws attention as a new alternative to secure corporate competitiveness as it contributes to sales increase, being in a position to satisfy customers' needs by ensuring customers' access to information. A customer center is an aggregation of various information and communication technologies. In particular, a voice recognition/analysis technology based on big data can elaborate customer services further, enhance customer satisfaction, and trigger constant interactions with customers. A customer center can be transformed to a hub of customer knowledge and the embodiment of business intelligence in the front line of business. This article is a case study on how the customer center of the K life insurance company regarding customer center operation collects and analyzes customer information and how it has established its voice recognition/analysis system based on big data to improve customer experience management. Factors affecting the successful introduction and implementation of voice recognition/analysis system to a firm, are examined.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.274-282
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• 2005

Customer retention is one of the major issued in life insurance industry, in which competition is increasingly fierce. There are many things to do to retain customers. One of those things is to be continuously in touch with all customers. The objective of this study is to design the contact scheduling system(CSS) to support the planers who must touch the customers without having subjective information. Support-planers suffer from lack of information which can be used to intimately touch. CSS that is developed in this study generates contact schedule to touch customers by taking into account existing contact history. CSS has a two stage process. In the first stage, it segments customers according to his or her demographics and contract status data. Then it finds typical pattern and pattern is combined to business rules for each segment. We expert that CSS would support support-planers to make uncontacted customers' experience positive.

• Journal of the Korean Society for Library and Information Science
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• v.36 no.2
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• pp.25-38
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• 2002

Libraries today have to investigate the methods connecting the results from continuously collected customer information with their activities, policies, and procedures. In other to prevent customer secession and to obtain new customers, it is necessary to effectively offer the processes for every customer related service, that is, the contact, the reguest, satisfaction, etc. This is Customer Relationship Management(CRM). This study aims to introduce the concept, the constitution elements, and theories for importation and application of CRM, and to investigate the possibility for library application. Also, it is emphasized the necessity for new marketing strategy Putting the customer value Preferentially in libraries.

• Fashion & Textile Research Journal
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• v.13 no.4
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• pp.531-537
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• 2011

Employees of sales departments of apparel makers play an important role in the success of a fashion-related business because they provide service through the direct contact with customers. This research tests several hypothesized relationships between its determinants, such as job satisfaction and customer orientation, along with service delivery level. The subjects in this study were salespeople who worked at fashion stores in Yeosu and Sunchon. To measure the hypotheses, 200 questionnaires were handed out and 185 were collected. 163 questionnaires were used for the analysis, as 22 were found to be invalid. Frequency analysis, factor analysis, reliability analysis, and multiple regression techniques were used after coding and cleaning the data with the software SPSS 18.0. The result of this study are as follow. First, job satisfaction have a positive influence on employee's customer orientation. Second, job satisfaction have an effect on procedural and hospitable service delivery level. Third, it was found that the customer orientation have a significant impact on their procedural and hospitable service delivery level.

• Journal of Internet Computing and Services
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• v.13 no.3
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• pp.107-114
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• 2012

In this paper, we proposed an automatic monitoring system for contact center in order to manage customer's complaint and agent's quality. The proposed system allows more accurate monitoring using emotion recognition and keyword spotting method for neutral/anger voice emotion. The system can provide professional consultation and management for the customer with language violence, such as abuse and sexual harassment. We developed a method of building robust algorithm on heterogeneous speech DB of many unspecified customers. Experimental results confirm the stable and improved performance using real contact center speech data.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.66-75
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• 2009

As the population of the silver generation is increasing, the importance and effects of the market for the silver generation are also growing. We segments the categories of the silver generation into six sub-segments using based on the factors like life style, life stage, or performing role from the point of view in communication industry. After segmenting those categories, we observed the experience of each segmented group in detail. Likewise, we executed both FGD(Focused Group Discussion) and participants' observations together to effectively collect the expressed and/or potential needs. Customer's experience was collected along the touch points and customer corridors after dividing the customer's experience world into two groups; communication styles in usual life (life log) and direct contact channels. The effects of delivering an affirmative customer's experience would be empowered by eliminating negative experiences or complementing affirmative experiences. For this purpose, this paper presents the improvement points for the better customer's experience based on the observed customer's experience. This paper presented a sample way of customer-centric approach to design the services or products in the communication industry. In addition to that, the analyzed results of this paper will be useful to find out an effective approach to the market of silver generation.