• Knowledge Management Research
• /
• v.17 no.3
• /
• pp.227-248
• /
• 2016

Customer satisfaction dominates research on customer-firm performance relationships; however, with a few exceptions, the authors of most prior studies did not examine the possibility that an organizations' customer relationship management can increase its knowledge management. Building on previous literature of information processing theory and transaction cost perspective, this paper investigates the effect of various characteristics of customer relationship an organization cultivates on its own innovativeness. Specifically, we identify closeness, communication, sympathy as three critical components of managing customer relationship. Data from a multi-informant survey conducted to 442 organizations in Korean bank industry show that an organization's relationship with its customers has significant effects on its innovativeness. This study highlights the importance of customer relationship in terms of enhancing innovations, and helps to explain interactive effects among customer relationship, organizational learning, and innovativeness.

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2010.04a
• /
• pp.291-309
• /
• 2010

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements(must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, potential customer satisfaction improvement(PCSI) index was developed using Kano model and CS coefficient. The PCSI index represents how much a product feature can increase the degree of customer satisfaction when the product feature is fully fulfilled. In order to explain the meaning of PCSI index, a case study for cellular phones is done. It is also discussed how to use the index strategically.

• Journal of Korean Society for Quality Management
• /
• v.38 no.2
• /
• pp.248-260
• /
• 2010

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements (;must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, potential customer satisfaction improvement(PCSI) index was proposed using Kano model and CS coefficient. The PCSI index represents how much a product feature can increase the degree of customer satisfaction when the product feature is fully fulfilled. In order to explain the meaning of PCSI index, a case study for cellular phones is done. It is also discussed how to use the index strategically.

• Korean Management Science Review
• /
• v.19 no.2
• /
• pp.1-23
• /
• 2002

It has been considered as a means for sustaining a competitive advantage for companies to build and maintain long-term relationships with customers. It is without any doubt that many companies have tried to initiate Customer Relationship Management (CRM). For the effective management of customer relationships, it is critical that they acquire. share and use customer information and knowledge. In this paper, we deduced 9 important factors affecting the qualify of customer information and knowledge from the literature reviews on CRM, and developed the questionnaire to measure these factors. The factors are again categorized into organizational system, employees and IT. We analyzed data collected from 30 companies in service industries such as the finance. distribution and communication industries. The result of data analysis demonstrates that the employees' analytical shills and appraisal and reward systems are closely related to the quality of customer information, and analytical skills and IT support for communications with customers are associated with the quality of customer knowledge. implications of findings and future research directions are discussed.

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

• Knowledge Management Research
• /
• v.19 no.1
• /
• pp.147-174
• /
• 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 Korean Society for Quality Management
• /
• v.41 no.4
• /
• pp.499-512
• /
• 2013

Purpose: Quality Innovation Managements recently focus on developing relationship with customers to meet their requirements and enhance loyalty in the competitive environments in Countries. The purpose of this study is to explore the effects of innovation, quality, satisfaction and customer loyalty. Methods: After reviewing the literatures, the structural equation modeling (SEM) was conducted test the research model. The data was collected from Quality Leader by the questionnaire In Korea and China. Results: The results of SEM show that hardware innovation quality have a positive effect on customer satisfaction. Customer Satisfaction have a positive effect on customer satisfaction. Conclusion: The authors demonstrate that the hardware innovation quality is related positively to customer satisfaction. And customer satisfaction has a positive effect on customer loyalty. A number of notable findings are reported including the empirical verification that hardware innovation quality, customer satisfaction, and customer loyalty may all be directly related to business performance.

• Korean Management Science Review
• /
• v.20 no.2
• /
• pp.135-149
• /
• 2003

Developing a proper program for customer evaluation is one of the most imminent tasks to implement CRM (Customer Relationship Management). Design of the Customer Value model is an important key to the customer evaluation progrgm. This paper proposes two models for estimating Customer Value. The first one is a Description Model for Customer Value based on customer CSI (Customer Satisfaction Index) data. This model represents as quantitative numbers what customers feel from the company or the service. The second one is a Prediction Model which employs factor analysis and regression to predict customer value. This paper exploits the two models to evaluate Customer Value as well as for customer behavior prediction.

• International Journal of Quality Innovation
• /
• v.10 no.2
• /
• pp.109-126
• /
• 2009

The purpose of this study was to examine overall customer satisfaction associated with medical service quality in Taiwan by integrated Kano's model and customer satisfaction index model. Another purpose was to confirmed nonlinear and asymmetric relationship of Customer Satisfaction and Quality Performance by the research outcome. By analyzing 1,100 patients or their family members, this study used the structural equation model (SEM) with AMOS software for data analysis. The results show that must-be attributes, one-dimensional attributes and attractive attributes had a direct effect on overall customer satisfaction, Surprisingly, overall customer satisfaction had positively influenced customer loyalty customer satisfaction had negatively influenced customer complaints. The study also found that customer complaints have direct effect on customer loyalty. Importantly, the study found out the must-be attributes, the attractive attributes and one-dimensional attributes increased, the level of overall customer satisfaction also increased. The customer satisfaction positively influences customer loyalty in medical service quality in Taiwan. The findings might reveal new insights for researchers dealing with quality of medical service and for hospital managers who devote resources exclusively to achieving highest possible levels of patient satisfaction.

• Human Ecology Research
• /
• v.59 no.3
• /
• pp.311-324
• /
• 2021

The purpose of this study was to reveal the effects of internal characteristics, such as fashion involvement, personality characteristics, and customer orientation of fashion brand salespeople on the core sales tasks, and how the core sales tasks and internal characteristics differ depending on differences in the way salespeople are remunerated. The data were collected as a questionnaire to fashion brand salespeople in Gwangju from September to October 2020. Using 235 responses, the data were analyzed with SPSS 21.0 for frequency analysis, reliability analysis, t-test, factor analysis, and regression analysis. The research results were as follows. First, fashion involvement comprises factors such as 'fashion passion and sense'and 'fashion trend interest', and the greater the 'fashion passion and sense', the better the 'sales management'and 'customer relationship management'jobs. Second, 'esthetic openness', 'responsibility' and 'extroversion' of the big five personality characteristics have a positive impact on 'sales management' and 'customer relationship management' tasks. Third, customer orientation comprises factors such as 'customer-centric understanding'and 'gain customer trust', the greater the customer-orientation, the better the 'sales management'and 'customer relationship management'tasks. Fourth, according to the position of the salesperson, the group of professional salespeople at manager level had high responses in core sales tasks, fashion involvement, customer orientation, and characteristics such as 'agreeableness', 'esthetic openness', and 'responsibility'.