• Korean Journal of Agricultural Science
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• v.38 no.4
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• pp.769-774
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• 2011

This study aimed at finding the factors impacting customer satisfaction (CS) for conversion farm with $2^{nd}$ and $3^{rd}$ industry, because the most important thing in the conversion farm is enhancing customer satisfaction. The data on CS from 173 pumpkin farm's customers by on-line survey were gathered. The analysis using structural equation model with Amos was carried out. Product, service and purchasing were determined as 3 factors impacting to CS. The result showed that purchasing is the biggiest contributor to CS. It means the customers using on-ine market are very sensitive to farm's brand and logistics. It is also found that conversion with processing and farm experience activity is definitely affecting to building customer's trust. In conclusion, making efforts on enhancing CS in conversion farm is the key to success.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.60
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• pp.83-89
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• 2000

As customer's needs change rapidly in recent days, the evaluation scale about service quality is changing against the variation of the customer's needs. It is fact that the need of change which established evaluation ways about service quality rise more and more. 6-Sigma activity, called "most innovative management strategy in 20th Century", have many problems apply to service company. The important one between these problems is the problem about Critical To Quality(CTQ) Selection caused from the absence of more precise evaluation system. The objective of this study is the development of methodology for CTQ selection coincide to service company. It is the basic logic that the way to regard MOT mainly effects about total customer satisfaction index(CSI) as CTQ, after the development of the evaluation system based on MOT with customers. Also, the study focused on the case of department store progress to exhibit the reasonableness of this logic.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• Proceedings of the KSR Conference
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• 2004.10a
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• pp.1566-1574
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• 2004

This study tried to find out alternatives adjusting basic fare using customer survey. But it merely verified that train fare decision is made by government's role and market status. Also, it has a limitation deciding resonable fare of KTX that average cost and marginal cost calculation is impossible because Korean National Railroad does not follow 'Activity Based Costing'. It is rational fare decision that performing survey to railroad experts and general customers, and compare two results. Summarizing results of this study, 1. The hypothesis 'Experts' perceived fare level of KTX is higher than that of general customer. 'is carried. It suggests that following experts' opinion with general customer's is very rational method to decide fare level. 2. The hypothesis 'Experts expect lower level of fare discount rate than general customer.' is carried. 3. It is hard to decide priority among many kinds of discount for difference of two group's preference. However, following recent research project is maximized by discounting fare 30$\%$ on 40$\%$ of total passenger and expand number of discount kinds step by step are desirable.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.7
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• pp.935-951
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• 2013

The recent entry and heated competition of numerous fashion brands in the luxury fashion market have all compelled luxury businesses to change. The issue of brand equity has emerged as one of the most critical areas for luxury marketing management. Despite strong interest in the subject, there is little evidence of how brand equity is created by marketing activities and what their effects are. This study identifies the effects of luxury marketing activities on the brand equity of luxury items, utilizing Keller's (2001) 'CBBE (Customer Based Brand Equity) Model' as a theoretical framework. Based on literature review, a conceptual model for brand signature, heritage, premium price, controlled distribution, and promotion on customers' view on brand equity was tested. To test the hypothesized building paths of luxury brand equity, statistical analysis were performed with an AMOS 7.0 program using a confirmatory factor analysis and structural equation model. The results were: First, luxury brand equity was defined in terms of four components (brand awareness/association, customer judgment, customer feeling, and customer-brand resonance). Second, the proposed conceptual framework of this study was partially significant. We can provide an effectiveness of Keller's CBBE model to conceptualize the building process of luxury brand equity; subsequently, marketers should develop core elements to position a brand strategy to create a competitive advantage.

• Management & Information Systems Review
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• v.23
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• pp.1-23
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• 2007

Small and Medium Business Associate has supporting small and medium business and private business for establishment business and sales increasing with various policy since 2005. Arousing the interesting on customer relationship management, small and medium business and private business have recognized the necessity of the concept and introduction the CRM. This study suggested the effectiveness of the CRM throughout real cases of the CRM for small and medium business managers in order to rising sales in such an environment. The case of this study tried to figure it out to accomplish manager's ends of small and medium business to get successful business results based on innovative volition and mind trying to change. The owner who has experience 12 years in meat sales was analyzed the results of aptitude test that the business is highly appropriate to him in personality and aptitude. As also saw the strength and opportunity of SWOT analysis, he has an excellent talent for friendship, knowledge of searching Internet and organizing information, and learning ability. This study provided a marketing policy, ideas of customer services and system remodeling to improve relationship with customer, and a division diagnosis of business activities. The owner has an excellent friendship, so that this study suggest to remodel interior inside store clearly and sanitary displaying on products, to introduce aggressive and concentrated marketing strategies, and to recognize the important of public relation.

• Journal of The Korean Digital Architecture Interior Association
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• v.8 no.2
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• pp.29-37
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• 2008

The purpose of this study was to analyze the customer demand for design development of digital convergence furniture in the living space of the ubiquitous home. This study used the individual survey method and was collected from July 1 to 20, 2008. The frequency and percentage were used for data analysis by SPSS window's 12. The results of the study were as follows: The first, a lot of survey targets were 30-40 years old, university graduates, over 50,000,000 won in annual income and 30-40 pyung in house size. The second, what types of activity were carried out in the living room were acquisition of knowledge>entertainment activity>communication activity>household chores. The third, what types of furniture were used in the living room were A/V furniture>table>sofa>computer table>bookself. The forth, customers preferred to picture telephone service in sociality, home-theater service in entertainment and home appliances remote control service in information service. The fifth, the digital functions which can integrate with the living roon furniture, in the item for A/V furniture, was front door control function which recognizes visitors with the screen. In the item for table was function to search internet and for sofa was self purification function. Finally, the digital convergence furniture is not only for one activity but also for various types of activities that can comprehensively function to materialize the concept of comfortable furniture in the living space.

• Journal of Internet Computing and Services
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• v.16 no.5
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• pp.93-98
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• 2015

IoT (Internet of Things) is recently burgeoning as business applications as well as ICT itself. Among the business applications of IoT, wearable devices are recognized as a leading area of customer devices. This research first identifies customer needs of activity trackers (fitness trackers), as one of representative wearable devices, and mapping the identified needs with the well-known marketing model of marketing mix (4 P's: Product, Price, Promotion, and Place). Survey was applied to university students for identifying current and potential needs for activity trackers. The needs were classified by 4 P's, and according to the results, different from other IT devices, activity trackers has more potential needs. Moreover, reliable distribution channels, offline and company owned shops were preferred, rather than online shopping mall by third parties. The results would provide some valuable implications to not only designers of activity trackers but also business management.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.481-490
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• 2020

Batik industry is a business activity oriented towards customer loyalty and is demanded to show an increasing diversity of products with various motives designed to prevent customers from moving to other companies. Therefore, the purpose of this study is to develop a theoretical approach in solving problems in the relationship between service quality and product diversity on satisfaction and word of mouth (WoM) and its impact on customer loyalty. Furthermore, this study also examined the mediating effects of satisfaction and WoM in the relationship between service quality and product diversity on customer loyalty. This research's object took the customers of Batik Semarangan Craftwork, Indonesia, with the phenomenon of always developing creative and innovative Batik motif designs that can be accepted by the market without leaving Semarang's uniqueness. The total sample was 98 customers. The results of the study showed that service quality and product diversity positively affected satisfaction and WoM and had a positive effect on customer loyalty. Besides, satisfaction and WoM had a mediating effect on the effect of service quality and product diversity on loyalty. Thus, it is essential for management to create and increase customer loyalty by paying attention to service quality, product diversity, satisfaction, and WoM.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.135-148
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• 2003

In this paper we introduce the Internet-based purchase support systems using data mining and case-based reasoning (CBR). Internet Business activity that involves the end user is undergoing a significant revolution. The ability to track users browsing behavior has brought the vendor and end customer's closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at massive scale. Most of former researchers, in this research arena, used data mining techniques to pursue the customer's future behavior and to improve the frequency of repurchase. The area of data mining can be defined as efficiently discovering association rules from large collections of data. However, the basic association rule-based data mining technique was not flexible. If there were no inference rules to track the customer's future behavior, association rule-based data mining systems may not present more information. To resolve this problem, we combined association rule-based data mining with CBR mechanism. CBR is used in reasoning for customer's preference searching and training through the cases. Data mining and CBR-based hybrid purchase support mechanism can reflect both association rule-based logical inference and case-based information reuse. A Web-log data gathered in the real-world Internet shopping mall is given to illustrate the quality of the proposed systems.