• Journal of Korean Society for Quality Management
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• v.47 no.3
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• pp.615-630
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• 2019

Purpose: Based on the theory of "Stimulus-Organism-Response" (S-O-R), this thesis takes customer forgiveness as a medium variable to explore the impact of merchant service remedy on customer behavior intention in the context of online shopping service failure. This thesis divides the merchant service remedy into two dimensions: spiritual recovery and material recovery, and reveals the influence difference of different merchant service remedy methods on customer behavior intention and the mediating role of customer forgiveness. Methods : 325 questionnaires were distributed and 307 valid questionnaires were collected for data analysis. The relationship between potential variables is proposed by using Structural Equations Modeling. Results : The two dimensions of service recovery have significant positive impact on customer forgiveness, and physical recovery has greater impact on customer forgiveness. In the influence of physical recovery on customer behavior intention, customer forgiveness is a partial mediating effect. However, in the influence of spiritual recovery on customer behavior intention, customer forgiveness is a complete mediating effect. Conclusion : In case of service faults, merchants should take the initiative to provide appropriate physical recovery and provide spiritual recovery sincerely and patiently. Only in this way can they regain good impression in the hearts of consumers and promote them to improve the quality of service recovery, so as to increase their willingness to repurchase Intention and positive word of mouth.

• Journal of Distribution Science
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• v.12 no.2
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• pp.81-93
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• 2014

Purpose - Recent rapid environmental changes in the hospital industry are accelerating the spread of customer satisfaction management. Customers' desires have become diversified and advanced; in the past, customers tended to preferred popularized and standardized care, whereas they now prefer individualized and differentiated care, based on an increase in income. Specifically, this study tries to analyze the mediating effects of factors that affect the configuration portion of customer value and relationship quality (customer trust and relationship commitment) by investigating the impacts and configuration factor of customer value on relationship quality and determining how these factors impact customer loyalty directly or indirectly. Research design, data, and methodology - This study aims to determine the customer value factors that impact the perceptions of dental hospital customers, how these factors impact relationship quality and customer loyalty, and the causal relationship of these factors, and to verify the research model based on previous research. To increase the validity and reliability of the questionnaire, the authors of this study constructed basic questions using measurement tools already verified for reliability and validity in existing studies. In this study, customer value is defined as customers' recognizing value by exchanging goods or services and is measured using a five-point Likert scale using 19 questions about the 4-Ds, such as convenience value, quick service, response value, and trustworthiness. For each question, "very low" was set at 1 point and "very high" at 5 points. Customer trust, relationship commitment, and customer loyalty are also measured using a five-point Likert 5-point scale (1 = very low, 5 = very high) based on previous studies. Results - For customer value, trustworthiness and quick service are shown to have direct significant positive impacts on customer loyalty. For customer value and quality of the relationship (customer confidence and commitment), trustworthiness, response value, confidence value, and quick service are shown to have a significant positive impact on customer truth, in order of impact. For the relationship between customer value and commitment, quick service and response value are shown to have significant positive impact. Customer confidence has a very high positive influence on commitment. For the relationship between the quality of the relationship (customer confidence and commitment) and customer loyalty, customer confidence is shown to have more of an impact than commitment, in terms of a direct influence of customer loyalty. Commitment showed a positive impact on customer loyalty. For the relationship between customer confidence and customer loyalty, commitment showed a mediating effect. Conclusions - Many additional variables could apply; this study focused on customer value, quality of the relationship, and customer loyalty. In particular, there will be significant value in identifying the relationships among customer value, relationship quality, and customer loyalty by using impact factors for customer value; ensuring external validity by expanding denotation and applying the findings to other service industries; and undertaking continuous research. This study has limited generalization potential because the target for this survey was located only in the Seoul area.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.99-113
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• 2023

In a customer-based industry, customer retention is the competitiveness of a company, and improving customer retention improves the competitiveness of the company. Therefore, accurate prediction and management of potential dormant customers is paramount to increasing the competitiveness of the enterprise. In particular, there are numerous competitors in the domestic card industry, and the government is introducing an automatic closing system for dormant card management. As a result of these social changes, the card industry must focus on better predicting and managing potential dormant cards, and better predicting dormant customers is emerging as an important challenge. In this study, the Recurrent Neural Network (RNN) methodology was used to predict potential dormant customers in the card industry, and in particular, Long-Short Term Memory (LSTM) was used to efficiently learn data for a long time. In addition, to redefine the variables needed to predict dormant customers in the card industry, Unified Theory of Technology (UTAUT), an integrated technology acceptance theory, was applied to redefine and group the variables used in the model. As a result, stable model accuracy and F-1 score were obtained, and Hit-Ratio proved that models using LSTM can produce stable results compared to other algorithms. It was also found that there was no moderating effect of demographic information that could occur in UTAUT, which was pointed out in previous studies. Therefore, among variable selection models using UTAUT, dormant customer prediction models using LSTM are proven to have non-biased stable results. This study revealed that there may be academic contributions to the prediction of dormant customers using LSTM algorithms that can learn well from previously untried time series data. In addition, it is a good example to show that it is possible to respond to customers who are preemptively dormant in terms of customer management because it is predicted at a time difference with the actual dormant capture, and it is expected to contribute greatly to the industry.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.1
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• pp.68-78
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• 2014

Recently, companies are trying to gain a competitive advantage in the market to meet the voice of customer. For this purpose, QFD has been used as product development technology in many areas to include the customer' requirements. Also, Kano model has been used to understand the customer' requirements for an effective way. Therefore integration of Kano model and QFD can more efficiently reflect the customer' requirements when designing a new service. This paper proposes PI index by taking into account the current satisfaction position of our company and competitors while IR (Improvement Ratio) value was set uniformity. This study suggests a more accurate index to predict potential improvements and calculates the final importance or priority. Through case studies targeted at elevator maintenance companies, we can have a general idea how much to improve in the near future and estimate the final importance of customer requirements.

• Journal of Distribution Science
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• v.20 no.10
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• pp.93-103
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• 2022

Purpose: This study aims to determine the relationship between disruptive factors and customer satisfaction at chain stores. Survey-based questionnaires were designed in the distribution technique to measure the findings in this study. Research design, data, and methodology: In terms of the sampling technique, the researchers adopted the simple random sampling technique with a total of 200 sample sizes. For the statistical method, the researchers applied multiple linear regression analysis to determine the potential factors that affect customer satisfaction at chain stores. The analysis of this study measured how product quality, pricing policies of chain stores, design and layout, responsiveness, and location of chain stores impart their roles in customer satisfaction. Results: This study found a significant relationship between the product quality and location of chain stores on customer satisfaction. In addition, the responsiveness, pricing policy, and physical design of chain stores impart an insignificant role in customer satisfaction. However, it is proven that the location of chain stores and product quality positively impact customer satisfaction. Conclusions: The study is geographically limited to the region of Karachi, Pakistan. Therefore, the findings may differ in the context of study implications in the other areas.

• Journal of Distribution Science
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• v.20 no.11
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• pp.47-59
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• 2022

Purpose: The study aims to synthesize research trends regarding the distribution of 'other customer perception' on 'brand experience'; concurrently, to identify the promising research directions and suggest useful for managers. Research design, data, and methodology: The paper deals with the distribution of 'other customer perception' on 'brand experience' through evaluating a systematic review combined with biological mapping analysis (VOS viewer) with 226 documents published in 142 journals from 1987 to 2021. Results: The study synthesizes and analyzes existing literature reviews on the distribution of 'other customer perception' on 'brand experience', which mainly highlights three research topic groups. Exploring the component of relationship should be considered in the brand experience scale when the research context is the social interactions surrounding the customer's purchasing process. Moreover, the presence of mindfulness in several publications has suggested a potential research direction in the consumer behavior field. Conclusions: The systematic reports can be a useful reference for managers towards building brand experience based on distribution of 'other customer perception' with moderating of mindfulness - a new finding of behavioral interaction that has just experienced the Covid-19 pandemic which is experienced directly at the store and lead to many changes in consumer psychology.

• Asia Marketing Journal
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• v.7 no.1
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• pp.21-42
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• 2005

Customer Relationship Management (CRM) is a corporate marketing strategy maintaining and managing customers. And with CRM companies maximize the customer's value through a series of processes of new customer retention, VIP customer retention, customer value increase, potential customer activation, and customers for lifetime by collecting the customer information and taking advantage of it effectively. In particular, as the competitive environment is changing rapidly and getting more intense, maintaining the customer retention through customer churn management becomes more important in order to increase the customer value for maximizing the company's profit and to build up the relationship with customers. For example, the financial industry has managed the customer churn with the concept of customer segmentation. Recently the customer retention and churn management is becoming increasingly important in all business fields as well as financial industry since the companies expect the effect of preventing the customer churn by identifying characteristics of customers. However, despite the increasing interest and importance of the management of the customer churn, not many of studies are systematically executed by analyzing the data of customer churn. In this study we analyze the actual data of CRM activities for the customer retention, specifically the data of TV home-shopping. By doing so, we hope to identify the differences of demographic attributes and transaction specific characteristics in consumer behaviors between the churning customer and the retained customers. In addition, we try to find out the variables which can impact the churning of the customers and to predict the churn rate of individual customer through our proposed model of customer churn. In the end, based on our findings we suggest the possible marketing strategies for TV home-shopping companies.

• Proceedings of the KIEE Conference
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• 1990.11a
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• pp.197-201
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• 1990

Under the electricity spot pricing, a customer can maximize its profit by adjusting its production schedule. This paper discusses the optimal response of process type customer to the spot pricing. A fast optimization algorithm is proposed. A case study reveals the potential benefits of customer under the electricity spot pricing.

• Journal of Korean Society for Quality Management
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• v.29 no.2
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• pp.76-92
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• 2001

As service firms continue to seek unique sources of sustainable competitive advantage, service quality has been discussed as a potential alternative to traditional skills and sources. The information of customers is generally believed to be a key component in creating corporate responsiveness to customer requests. In order to develop and maintain long-term close relationships with customers(CRM), service firms need to build an effective and ongoing service quality information system(SQIS). Service firms that formally collect customer-related information and internal service quality information were to be more responsive. The purpose of the present study is twofold. 1. How to nicely get the information on the service quality. 2. How to build a SQIS. One of numerous examples from financial service-sector firms is given to show that SQIS can be developed to improve service quality This paper investigates SQIS of a Korean commercial bank as an example. Implications and strategies for building an effective SQIS for financial service-sector firms are discussed, and directions for future research are indicated.

• Asia pacific journal of information systems
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• v.13 no.2
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• pp.23-46
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• 2003

This paper proposes an analysis methodology that enables the establishment of improved customer satisfaction via decision support system using customer satisfaction index data and customer database of a company. The proposed methodology establishes rational future goal of a company by applying DEA, finds potential customers which correspond to demographic features of the previous target group, and improve quality factors which distinguish the quality-satisfaction-group from the quality-dissatisfaction-group through the use of machine learning tools, SOM and C4.5. Finally, we illustrate the effectiveness of our research methodology using actual data of a camera company.