• 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.

• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.99-108
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• 2020

This study examines the relationship between service provider's authenticity, customer voice, and customer behavior in failure situation. This study employed questionnaire survey and collected 216 data. The structural equation modeling (SEM) method is used to test the hypotheses of the study. As a result, the service provider's authenticity has a significant positive effect on the constructive voice of the customer and a negative effect on the destructive voice in the failure situation. In addition, constructive voice had a significant positive effect on relationship retention intentions and destructive voice had no significant effect on relationship retention intentions. This study suggests the importance of customer voice as well as the factors to increase customer positive voice in the failure situation and provides an opportunity to be interested in customer voice.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.25-42
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• 2015

The purpose of this study is to provide users with satisfactory information services that are utilizing Voice of the Customers(VOC). Voice of the Customers(VOC) toward organizations that provide information services is important information for decision-making to improve customer satisfaction and information services. K institute manages customer requests and feedbacks for NDSL(National Digital Science Library) using the Voice of the Customer Management System(VCMS). In this study, we analyzed the total number of 1,738 VOCs and suggested improvement strategies for information services. The results can be utilized as basic information by libraries and information centers that provide information services through analysis of VOC.

• Journal of Distribution Science
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• v.16 no.8
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• pp.69-77
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• 2018

Purpose - With growing competition in the service distribution industry, the importance of managing customer complaints has increased. If firms handle customer complaints effectively, they can strengthen customer loyalty and repurchase intention. Many studies have focused on customers expressing complaints, yet research on silent customers is scant. This study focuses on two types of complainers and non-complainers. In other words, this study is to examine the value of voice complaint intention and no-action intention. This study also investigates how perceptual and relational factors affect complaint intention. Research design, data, and methodology - This study was carried out using the survey with undergraduate students who have faced a service failure in a retail store(fast foods, electronics, apparel). And if such complaint were to occur again, respondents were asked about any possible action they would take. 300 questionnaires were distributed and a total of 279 respondents provided complete and usable data. The sample consisted of 158 males(56.6%) and 121 females(43.4%). The structural equation modeling analysis was used for the hypothesis test. Results - The results are as follows. First, attitude toward complaining, likelihood of successful complaint, and ease of complaint were positively related to voice complaint intention. Second, attitude toward complaining, likelihood of successful complaint, and ease of complaint were negatively related to no-action intention. Third, commitment was positively related to voice complaint intention but didn't have a significant negative impact on no action. Forth, voice complaint behavior reduced switching intention and no-action intention enhanced switching intention. Conclusions - The findings of this study confirm the value of complaint behavior and show voice complaint intention and no-action intention should be managed differently. Voice complaint intention is evaluated positively because it reflects customers' concerns about the company, while no-action intention is evaluated negatively. Attitude toward complaing is the most effective in increasing voice complaint intention and likelihood of successful complaint is a major factor in reducing no-action intention. Also, in explaining switching intention, voice complaint intention plays a more important role than no-action intention.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.13-24
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• 2015

Customer complaints handling helps organizations to retain existing customers and attract new customers, as well. As Voice of the Customer (VOC) is one of the main sources of customer complaints, many organizations utilize VOC to enhance customer satisfaction. Effective management of VOC has been proved as one of the best ways to maintain organization's brand image and reputation. In spite of its importance, little has been reported on the utilization of VOC to detect faults in a telecommunication industry. In this paper, association rule mining based on VOC is used to identify root fault causes of a telecommunications network. To do that, VOC of a Communication Service Provider has been collected first. Then, association rule mining has also been conducted with various support and confidence levels. As a result, root fault causes of the telecommunications network can be identified. It is expected that this study can be used as a basis for decisions about customer satisfaction management such as preventive maintenances or reduction of the customer maintenance cost.

• Knowledge Management Research
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• v.20 no.3
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• pp.17-38
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• 2019

Rrecently, companies have made great efforts to satisfy various needs and heightened expectations of customers, and the importance of customer center as customer contact department for customer relationship management is increasing. In the knowledge ecosystem, corporate customer centers are emerging as a new alternative to acquiring corporate competitiveness by increasing sales and increasing market share by improving marketing support activities and customer relationship management at customer contact points. As a result, the interest in the customer center has increased rapidly because it provides the opportunity to contact with the customer. In addition, in the era of the fourth industrial revolution, the customer center, which is a collection of information and communication technologies, has a big databased voice recognition technology to elaborate customer service, thereby enhancing customer satisfaction and contributing to marketing through continuous interaction with customers. Of course, we have the opportunity to transform into the frontline business intelligence front for customer knowledge. This study is a comparative case study on how the customer center of K Life Insurance that takes the lead in the customer center industry has successfully renewed and established their key information systems to improve customer services and reinforce marketing support competencies. Based on the above, this study will present factors affecting successful implementation and settlement of the customer service information systems of customer centers by independently analyzing two individual cases.

• The International Journal of Costume Culture
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• v.2 no.2
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• pp.14-30
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• 1999

Quality Function Deployment (QFD) is a product development tool used to ensure that the voice of the customer is heard and translated into products. This paper shows the applicability and usefulness of this product development tool in the apparel industry by developing an apparel example and taking it through the four matrices that encompass a QFD process.

• Information Systems Review
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• v.1 no.2
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• pp.73-87
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• 1999

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.633-638
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• 2004

Main purpose of existing VOC (the voice of customer) analysis is suppressing the VOC occurrence. But, in real situation, it is impossible to reduce the VOC occurrence to the zero level. Company's strategy to decrease specific customer complaints may cause another customer's complaints increase. Especially, in a financial industry, customer complaints are directly connected with company's profit. That is, the VOC from their profitable customer, product and channel is major concern of companies. In this paper, 1 reveal the relationship between CRM (customer relationship management) activity and VOC analysis and various analysis methods.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.8
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• pp.518-527
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• 2014

This study is to estimate the learning curve based on the consequences of reduced voice of customer from each telecommunication service products. We used Exponential Decay Model, which is the most popular among the learning curve models. We attempted to add how VOC changes in accordance with seasonal factors, human resource input, application of software, and the investment. The results of the empirical analysis of each service product as follows: First, as learning curve, customer complaints decreased. Second, human resource input, Network fault make increase or decrease customer complaints(VOC). Third, even though increasing the customer's quality of experience, VOC would not decrease due to service paradox.