Proceedings of the Korean Institute of Interior Design Conference
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2002.04a
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pp.135-140
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2002
In large commercial facilities, customer movements have a close interrelation between space structure and interior environment elements. With the importance of the spacial structure, VMD strategy has recently played greater role In the interior environment image to satisfy customers' needs. This study intends to examine the relationship among customer behavior, customer movement, and VMD by grasping customers shopping behavior characteristics that come from the relatively comprehensive factors in the female sections of the department stores through the environmental image that is composed of spatial and emotional elements. This study also serves the purpose that by tracking shopping time, shopping speed, and the ratio of shopping depth that directly reflects customer behavior characteristics, various causes, either general or specific, which can affect the decision on purchase are to be examined. Based on this research results, we bring up the basic data and foundation for floor MD plan, establishment of movement plan, and VMD plan at a store.
Purpose - The purpose of this study was to investigate the effects of the chatbot's characteristics (ease of use, social presence, playfulness, usefulness) on service value, customer satisfaction and reuse intention when consumers purchased fashion products in the mobile shopping environments. Research design, data, and methodology - Data were collected from Korean consumers from ages 20 to 59 who have experienced using chatbot in a mobile shopping for fashion products. After a pilot survey to 53 customers, the preliminary questionnaire was revised for the final test, and the final questionnaire was administered to 1500 customers. Out of these, 300 were collected. After deleting 48 incomplete ones, 252 questionnaires were used in the statistical analysis. Frequency analysis and exploratory factor analysis using SPSS 23.0 and confirmatory factor analysis and structure equation analysis using AMOS 18.0 were employed for data analyses. Results - First, four factors were extracted for the chatbot's characteristics: ease of use, social presence, playfulness and usefulness. Second, regarding the effect of chatbot's characteristics on service value when purchasing fashion products in the mobile shopping environment, ease of use, playfulness and usefulness of chatbot significantly affected service value. Social presence did not have significant effects on service value. Third, in terms of the effect of the chatbot's characteristics on customer satisfaction when purchasing fashion products in the mobile shopping environment, social presence, playfulness and usefulness of chatbot significantly had an effect on customer satisfaction. Ease of use did not have a significant effect on customer satisfaction. Fourth, service value of chatbot when purchasing fashion products in mobile shopping environment was found to have an effect on customer satisfaction with chatbot. Fifth, service value of chatbot on reuse intention when purchasing fashion products in the mobile shopping environment was found to have an effect on reuse intention of chatbot. Sixth, customer satisfaction with chatbot had a significant impact on the reuse intention of the chatbot when purchasing fashion products in the mobile shopping environment. Conclusions - The present study provide dimensions on the chatbot's characteristics and these may provide helpful data for further studies in this area and for marketers as well.
Journal of Information Technology Applications and Management
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v.17
no.1
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pp.127-139
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2010
Customer behavior pattern discovery is the fundament for conducting customer oriented services and the services management. But, the composition, need, interest and experience of customers may be continuously changing, thereof lead to the difficulty in refining a stable description of their consistent behavior pattern. This paper presented a new method for the behavior pattern discovery from a changing collection of customers. It was originally inspired from the swarm intelligence of ant colony. By the adaptive clustering, some typical behavior patterns which reflect the characteristics of related customer clusters can extracted dynamically and adaptively.
Kim, Jae-Kyeong;Choi, Il-Young;Kim, Hyea-Kyeong;Kim, Nam-Hee
Korean Management Science Review
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v.26
no.1
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pp.183-196
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2009
Customer retention has been a pressing issue for companies to get and maintain the loyal customers in the competing environment. Lots of researchers make effort to seek the characteristics of the churning customers and the loyal customers using the data mining techniques such as decision tree. However, such existing researches don't consider relationships among customers. Social network analysis has been used to search relationships among social entities such as genetics network, traffic network, organization network and so on. In this study, a customer network is proposed to investigate the differences of network characteristics of churning customers and loyal customers. The customer networks are constructed by analyzing the real purchase data collected from a Korean cosmetic provider. We investigated whether the churning customers and the loyal customers have different degree centralities and densities of the customer networks. In addition, we compared products purchased by the churning customers and those by the loyal customers. Our data analysis results indicate that degree centrality and density of the churning customer network are higher than those of the loyal customer network, and the various products are purchased by churning customers rather than by the loyal customers. We expect that the suggested social network analysis is used to as a complementary analysis methodology with existing statistical analysis and data mining analysis.
Purpose - Despite the global economic crisis, the numbers of coffee shops used for providing a place for social and cultural interactions show an upward trend and have become an indispensable part in people's daily life in recent years. Under the circumstance of tremendous efforts of searching new management strategies and projects, the concept of servicescape(which has physical environment characteristics) may provide a better alternative. Therefore, the purpose of this study can be broadly divided into 3 key points. First is to investigate the effects of servicescape on customer satisfaction, service value and customer loyalty about Coffee Shops in Jeonju area. Second is to examine the mediating effect of customer satisfaction and service value between servicescape and customer loyalty. Third, there is evidence that indicates the moderating effect among the interaction of customer and staff, brand image and the composition of servicescape, customer satisfaction, service value and customer loyalty. Research design, data, and methodology - This study begins empirical research about users of coffee shops' services. The data of the study is collected from 285 samples of a questionnaire which has been made from Korea and analysed by IBM SPSS 24.0 and IBM AMOS 24.0. Results - The results are reported below: First of all, the composition of condition, functionality, cleanliness and aesthetic characteristics of the servicescape has a significant impact on customer satisfaction and service value. Furthermore, customer satisfaction is identified as a factor to influence service value. Moreover, customer satisfaction and service value are identified as the causal relationship with customer loyalty. Besides, customer satisfaction and service value illustrated the mediation effect between the composition of servicescape and customer loyalty. Finally, the interaction between customer and staff, brand image illustrates the moderated effect. Conclusions - The composition of servicescape contributes to the formation of customer satisfaction and enhancing the customer's perceived service value in coffee shops. By meeting diverse and complex needs of consumers in coffee shop, the service value will not only attract loyal customers, but also increase customer loyalty and profitability. In a word, managers should rely on servicescape to enhance service experience by making differences with other competitors.
The purpose of this study was to analyze sensory evaluation, to assess visual serving size and plate waste estimates of daily menu, and the identify customer expectation, perception and satisfaction. Questionnaires of sensory evaluation, serving size and were waste were developed and hand-delivered to 2,520 people. A total of 2,255 questionnaires were usable: a 89.5% response rate. Customer satisfaction questionnaires were handed out to 700 customers: (100 each at seven operations). A total of 551 were returned completed (78.7%). The data was analyzed using the SAS package program for Descriptive Analysis, t-test and ANOVA. The result of sensory evaluation showed that 'taste' was 3.20, 'freshness' 3.17, 'temperature' 3.25, 'texture' 3.15, 'appearance' 3.12, 'overall evaluation' 3.21, so these were little higher than 「normal」, that is 3.0. There was positive correlation among 'taste', 'freshness', 'temperature', 'texture', 'appearance' and 'overall evaluation'(p<.001). Serving size score was 2.97 and plate waste was 4.87, thus plate waste percentage was about 22-33%. As the result of customer expectation, perception and satisfaction of menu quality, characteristics. Customer satisfaction was defined as the difference expectation and perception and customer perceptions in theis survey were lower than expectation, thus this result implied customers dissatisfied in all menu quality characteristics. IPA analysis showed that 'diversity of menu selection' and 'menu price' was included in A area 'Focus here'.
International Journal of Internet, Broadcasting and Communication
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v.16
no.1
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pp.215-225
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2024
This study investigated the effect of the delivery service quality of Mongolian online shopping on the customer value, customer trust, and relationship persistence intention of Mongolian consumers. Through this, the purpose of this study is to understand the priorities of the quality conditions of delivery services (accuracy, economy, information, safety, tangibility, etc.) that Mongolian consumers value. The empirical analysis results of this study are as follows. First, the effect of delivery service quality on the intention to continue the relationship showed partially significant results. In other words, economics, information, and safety, excluding accuracy and tangibility, influenced the intention to continue the relationship. Second, the effect of delivery service quality on customer value was partially significant. In other words, accuracy, economy, safety, and tangibility, excluding informativity, influenced customer value. Third, the effect of delivery service quality on customer reliability was partially significant. In other words, economics, safety, and tangibility, excluding accuracy and informativity, influenced customer reliability. Fourth, the hypothesis of customer value on customer reliability was adopted, followed by the hypothesis of customer value on relationship continuity intention. Finally, the hypothesis of customer reliability on relationship continuity intention was adopted.
Recently Korean firms are increasingly interested in internet business while the number of internet users reaches more than 10 million in Korea. As e-commerce develop rapidly, customer-oriented marketing for online business becomes very important. The issues of how to achieve customer satisfaction in Internet business and how to plan a marketing strategy for online business faced managers of Internet business. Customer-satisfaction is much more important for internet business than for traditional offline 'brick and mortars'. Marketing activities need to be carried out on customer-orientation to achieve high level of customer satisfaction. This paper will discuss how to develop customer-oriented marketing for online business. It will specifically study the characteristics and success factors of internet business, differences between online marketing-mix strategy for e-business in view of customer-orientation. Finally it will suggest a future direction for online fashion business by applying the customer-oriented marketing of Internet business to the fashion business.
Early morning delivery possesses distinct characteristics that differentiate it from standard delivery services. This service typically involves delivering products to customers during the early morning hours, primarily before 7 AM. While online early morning delivery offers various advantages from a customer perspective, it also presents challenges that sellers and online shopping companies need to overcome. The early morning delivery market is experiencing significant growth in the online food retail sector, incorporating both PC-based online shopping and mobile shopping. The objective of this research is to identify the factors influencing customer satisfaction and the intention to reuse in the context of early morning delivery for online shopping. To model the online shopping environment with early morning delivery, independent factors were categorized into three types: System Properties, Product Characteristics, and Delivery Characteristics. This study examined the relationships among these three independent factors, the mediating factor of customer satisfaction, and the dependent variable of the intention to reuse. To conduct this research, empirical validation of the research hypotheses was carried out using the final dataset for analysis. Within this study, the previously explored System Properties, Product Characteristics, and Delivery Characteristics were established. Summarizing the findings of the analysis, it was discovered that System Properties and Product Characteristics played a significant role in determining the quality of early morning delivery services for online shopping. While product diversity and convenience had a positive impact, it is noteworthy that Delivery Characteristics did not influence customer satisfaction. Consequently, it can be concluded that there is no effect on the intention to reuse.
The primary purpose of this study is to examine the effects of customer satisfaction and switching barrier on customer retention and intention of WOM in insurance services. Based on relevant literature reviews, this study posits three switching barrier characteristics, that is, switching costs, attractiveness of alternatives and interpersonal relationship as key determinants of customer retention and intention of WOM. And then we structured a research model and hypotheses about relationship between these variables. A total 230 usable survey responses of life insurance service users have been employed in the analysis. The major findings from the data analyses are as follows. Firstly, customer satisfaction had a positive influence upon customer retention and intention of WOM. Secondly, two switching barrier characteristics of switching costs and interpersonal relationship had a positive influence upon customer retention. Lastly, customer retention had very significantly related to intention of WOM in insurance services. From this study, we expect to suggest practical and managerial implications to insurance service providers.
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