• Journal of East Asia Management
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• v.4 no.2
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• pp.19-38
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• 2023

With the progress of information technology and the rapid development of the gamification marketing, corporate marketing through virtual CSR co-create as customer acquisition, customer retention strategy has become the hot topic, but the reality results show that the effect of virtual CSR co-create fails to reach an enterprise's marketing purposes. Based on the success model of D&M information system, from the perspective of customer engagement, this study analyzes how enterprises achieve customer engagement and bring gameful experience to customers through gamification marketing in the context of virtual CSR co-create. The empirical results show that the quality of game information -- social interaction and sense of achievement in the context of virtual CSR co-create have a significant positive impact on consumers' gameful experience, and customer engagement plays a partial mediating role between social interaction, sense of achievement and consumers' gameful experience.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.107-117
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• 2022

This study aims to examine the relationship between the economic, environmental and social activities of sustainable supply chains and the customer satisfaction and customer retention rate, which are the final results in the supplier's operational performance and the buyer's market performance. The survey was conducted on employees in charge of supply chain management, purchasing company, partner company, and logistics management in the company. The final 193 valid data were analyzed to verify the research hypothesis. The results of the study showed that the economic and social activities of the sustainable supply chain had a positive effect on the supplier performance and the purchaser performance, but environmental activities had a negative effect on the supplier performance. In addition, the purchasing company performance has a positive effect on customer satisfaction and customer retention rate. This study provides a theoretical basis for sustainable supply chain activities to affect the operating performance of suppliers and the market performance of buyers, and suggests implications for enhancing the competitiveness of companies through the performance creation process that affects customer performance.

• Journal of Distribution Science
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• v.15 no.1
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• pp.57-70
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• 2017

Purpose - This study examined the effects of CRM success factors on business performance and customer performance, and the effects on job performance and customer performance through internal member satisfaction by considering of technology, organizational environment and customer relationship factors in CRM success factors from banking sectors. Research design, data, and methodology - An online questionnaire was conducted to 251 employees in banking sectors. The data were analyzed by SPSS 22.0 and Amos 21.0. CRM success factors, internal member satisfaction, job performance, and customer performance were analyzed by descriptive statistics and Pearson's correlation analysis. The bootstrapping in structural equations was conducted to verify the mediating effect of internal member satisfaction. Results - Internal members' satisfaction had a positive effect on job and customer performance. It mediated the relationship between organizational environment, customer relationship factors and job performance. It also mediated the relationship between organizational environment and customer performance. Conclusions - If internal members' relationship with customers is improved by the members' satisfaction, customer retention, customer satisfaction, and work performance will be achieved. The stability and usability in CRM system support jobs effectively, but the internal members did not feel their job satisfaction. Thus, they did not show a positive effect on job and customer performance.

• Journal of Korean Society for Quality Management
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• v.32 no.2
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• pp.109-131
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• 2004

This research tried to clarify the impact of service quality on the customer satisfaction, customer retention and switching barriers in the competitive structure between department store and discount store. We measured the level of service quality by using the methodology which had been adopted in the service quality research area. Using the internet survey method, we gathered data from 750 consumers of each industry. We used various analysis methods such as the regression analysis, t-test, and hierarchical regression analysis. The results reveal different patterns in the two sectors in the retail industry with respect to switching barriers. We conclude that switching barriers play an important role in consumer satisfaction and retention.

• 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 Distribution Science
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• v.14 no.7
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• pp.33-44
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• 2016

Purpose - This study aims to provide domestic franchise coffee shops with useful information by analyzing the impact of servicescape and the ability to provide service on the customer satisfaction and loyalty in franchise coffee shops in Seoul. Research, data, and Methodology - The data were collected for a month from 1^st in February, 2016 through judgement sampling. Then, the available collected data were analyzed with SPSS 19.0 package. Results - The results from this study are as follows. First, the servicescape factors, which have impact on a franchise coffee shop's customer satisfaction, are determined to be interior, cleanliness and coziness. Next, the ability to provide service affects customer satisfaction. Third, servicescape factors have impacts on customer satisfaction. Also, the service from a coffee shop affects customer loyalty. Therefore, a customer's satisfaction through services of a coffee shop has an impact on customer loyalty. Conclusions - It is important to have not only the ability to provide service but also servicescape factors, such as interior, cleanliness and coziness in order to be distinct from other competitors. These difference might create customer satisfaction and retention which will bring profits.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.355-366
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• 2006

Customer Satisfaction (CS) in Auto insurance market is the important factor which makes customer loyalty and retention increase. Recently On-line companies are threatening the existing Off-line companies with taking advantage of the low price through cut-offing the price by internet marketing. Therefore, the CS is becoming an indispensable survival strategy to the Off-line companies. Under these circumstances, this study finds out what the CS factors are in the auto insurance market, and produces levels of CS, customer loyalty and satisfaction Index of each category. The purpose of this study is to suggest the strategic improvement factor for elevating CS level and strategic direction for CS management by CS portfolio analysis based on the survey result.

• The Journal of Information Systems
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• v.14 no.2
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• pp.155-172
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• 2005

Securities companies which faced with severe competition should not only attract new customers but also retain their on-line customers. This study examines the factors affecting loyalty of on-line stock trading customers. The research model based on the previous studies was established and the research hypotheses were generated. The test results based on the data gathered from 87 users of on-line stock trading services show that user satisfaction, learning cost, transaction fees, and reputation influence customer loyalty. User satisfaction, learning cost and reputation are positively related to customer loyalty, whereas transaction fee is negatively related to customer loyalty. The results also support that information quality and system quality are positively related to user satisfaction. The hypothesis that transaction fee is related to user satisfaction is not supported. There is no significant information to say that security risk is related to user satisfaction. It is considered that the study results may help managers to increase customer retention.

• ETRI Journal
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• v.38 no.3
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• pp.494-501
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• 2016

Sentiment analysis incorporates natural language processing and artificial intelligence and has evolved as an important research area. Sentiment analysis on product reviews has been used in widespread applications to improve customer retention and business processes. In this paper, we propose a method for performing an intensified sentiment analysis on customer product reviews. The method involves the extraction of two feature sets from each of the given customer product reviews, a set of acoustic features (representing emotions) and a set of lexical features (representing sentiments). These sets are then combined and used in a supervised classifier to predict the sentiments of customers. We use an audio speech dataset prepared from Amazon product reviews and downloaded from the YouTube portal for the purposes of our experimental evaluations.

• Journal of the Korea Society of Computer and Information
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• v.6 no.3
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• pp.29-34
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• 2001

Competition is increasing in telecommunication service market. Effective customer retention strategies are based on a clear understanding of customer defection. Data mining offers service providers great opportunities to get closer to customer. In this paper, we propose an efficient data mining algorithm using neural network. Especially Analysis of CRM Using Neural Networks in Telecommunication service Market and a practical application of neural network is described telco, churn management This paper builds model of customer defection management and analyzes customer defection with data mining