• Journal of Venture Innovation
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• v.6 no.2
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• pp.67-82
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• 2023

The purpose of this study is to investigate the effect of Rapport Building Behavior on Customer Loyalty through Customer Attitude in the banking service environment targeting bank customers residing in Seoul and the metropolitan area. This study applied a significant sampling method, and the number of samples used in the final analysis was 201, and statistical analysis was performed on the input data using the SPSS 20.0 program. As a result of the analysis, first, it was found that the sub-factors of Rapport Building Behavior in the banking service environment, Attentive, Courtesy, and Information Sharing, had a significant positive (+) effect on customer loyalty, and Connecting was found that there was no positive (+) effect on customer loyalty. Second, Attentive, Courtesy, and Information Sharing, which are sub-factors of rapport building behavior, were shown to have a significant positive (+) effect on customer attitude, and Connecting was found that there was no positive (+) effect on customer attitude. Third, customer attitude was found to have a significant positive (+) effect on customer loyalty. Fourth, customer attitude was shown to mediate the relationship between rapport building behavior and customer loyalty. Therefore, it was found that rapport building behavior is a factor influencing customer attitude and customer loyalty in the banking service environment. This means that rapport building behavior between customers and banks can change customer attitudes and have a positive effect on customer loyalty. It can be seen as implying that customer management is necessary to increase customer loyalty through rapport building between customers and banks even in the changing banking service environment.

• Management & Information Systems Review
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• v.37 no.2
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• pp.169-185
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• 2018

Customers are not merely responders but rather active value creators. As a result most researches related to customer value creation behavior focus on customer participation behavior and interaction between service provider and customer. This study set the research model to examine the correlation between customer to customer interaction, brand attachment and customer value creation behavior. For this study, the relationship among social support, C-to-C social interaction, similarity, brand attachment, and customer value creation behavior were modelled and used to validate our hypotheses. A path model was verified with structural equation modeling using dataset from survey. Results of this study are summarized as follows. First, this study show the C-to-C social interaction, such as social support, C-to-C social interaction, similarity have effects on brand attachment. Thus, this was statistically significant although dismissed from hypothesis verification. Second, the structural correlation shows brand attachment has positive effect on customer value creation behavior The findings suggest that managers need to identify and pay attention to positive customer to customer interaction in the service encounter so that it influence customer brand attachment and customer value creation behavior which is the competitive advantages of service brand.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.258-266
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• 2023

Aiming at the problems of poor customer satisfaction and poor accuracy of customer classification, this paper proposes a customer classification model based on speech recognition. First, this paper analyzes the temporal data characteristics of customer demand data, identifies the influencing factors of customer demand behavior, and determines the process of feature extraction of customer voice signals. Then, the emotional association rules of customer demands are designed, and the classification model of customer demands is constructed through cluster analysis. Next, the Euclidean distance method is used to preprocess customer behavior data. The fuzzy clustering characteristics of customer demands are obtained by the fuzzy clustering method. Finally, on the basis of naive Bayesian algorithm, a customer demand classification model based on speech recognition is completed. Experimental results show that the proposed method improves the accuracy of the customer demand classification to more than 80%, and improves customer satisfaction to more than 90%. It solves the problems of poor customer satisfaction and low customer classification accuracy of the existing classification methods, which have practical application value.

• Journal of Information Management
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• v.40 no.4
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• pp.151-171
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• 2009

This study is to investigate dissatisfaction behavior of customers who purchase products on the Internet shopping mall and to find customers' dissatisfaction behavior types for effectively responding to that. Managing dissatisfaction behaviors are related to the customer satisfaction. To conduct this study, Call Center data was collected and analysed by qualitative method. The results showed that dissatisfaction of product quality and disappointment have different effects on post--purchase behaviors. Customers who feel more dissatisfaction with product quality showed the aggressive response such as exchange, refund, while customers who feel disappointment are likely to switch the shopping mall or to cancel the order. These results of customers' dissatisfaction behaviors indicate that company has to manage both product quality and the customer's experience dimension.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.191-199
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• 2019

This study is about online purchases of foods that have been reluctant to deal with distribution processes and reliability issues. We find out that attributes of the online food market affects behavior intention and whether it differs according to consumption tendency. A survey was conducted on consumers who had ever purchased food online for hypothesis testing. Reliability and feasibility were reviewed for the collected data and the hypothesis was verified through structural equation model analysis. While product diversity, product information and customer service factors of the online food market significantly affect behavior intention, price is not. We identified differences in the impact of behavior intention on consumption tendencies. For the Gaseongbi group, only the product information factors have significant effect on behavior, and for the Gasimbi group, the price and customer service factors have a significant effect on behavior intention. The findings provide theoretical and practical implications for marketers to study various marketing method based on consumer tendencies.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.135-140
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.3
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• pp.339-348
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• 2007

Since the 1980s, the marketing paradigm has rapidly changed from product-driven marketing to customer-driven marketing. Recently, due to an increase in the amount of information, customer-differentiation strategies have been emphasized more than product-differentiation strategies. This paper suggests a methodology for new customer segmentation and purchase forecasting using changes in customer behavior. This methodology includes a segmentation method for new customers using existing customer's characteristics and a purchase-forecasting system using the purchase-behavior patterns of existing customers. The proposed methodology not only provides differential services from a segmentation system but also recommends differential items from the purchase forecasting system for new and existing customers.

• Management & Information Systems Review
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• v.29 no.4
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• pp.67-88
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• 2010

The primary purpose of this study is to examine the effects of information satisfaction on customer trust and future behavior intention in open markets. Based on relevant literature reviews, this study posits three information satisfaction characteristics, that is, seller information satisfaction, product information satisfaction, and transaction procedure information satisfaction as key determinants of customer trust and future behavior intention. And then we structured a research model and hypotheses about relationship between these variables. A total 253 usable survey responses of open market users have been employed in the analysis. The major findings from the data analyses are as follows. Firstly, all three kinds of seller information satisfaction, product information satisfaction, and transaction procedure information satisfaction have a positive influence upon customer trust. Secondly, customer trust have very significantly related to repurchase intention in open markets.

• Design Convergence Study
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• v.16 no.6
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• pp.43-58
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• 2017

Recently, service failure from dysfunctional customer behavior has been observed in various service industries. Customers so-called 'Jaycustomer' can make bad influence to other customer's service experience which can be the obstacle of ideal service delivery. Therefore, approaching dysfunctional customer in service design perspective have became necessary, and modelling such customers through persona could be useful. For this purpose, we suggested the concept 'Evil Persona', and to find statements of personality trait which can make designers predict dysfunctional customer behavior, literature review and Q method analysis were performed. In result, dysfunctional customer behaviors were differed from service characteristics and were able to predict by combinations of statements. Based on this, more detailed customer information could be offered by presenting differentiated dysfunctional behavior information according to service characteristics. Since service design expanded its area, 'Evil Persona' can be valuable as criteria of verifying and compensating idea's vulnerability and limitation.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.3
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• pp.59-76
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.