• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.5
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• pp.682-698
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• 2019

This study examines whether experiential factors of virtual reality (VR) stores influence consumers' perceived amount of information and satisfaction, which in turn influences revisit intention. This also study examines whether the experiential factors differ as a function of an individual characteristic such as environmental responsiveness. Female consumers who had an experience in using VR technology for digital shopping participated in the online survey. The results showed that educational, escapist and aesthetic experiences have a significant impact on the perceived amount of information, and entertainment and escapist experiences have a significant impact on satisfaction. In addition, the perceived amount of information has a positive effect on customer satisfaction, which in turn has a positive effect on revisit intention. There is also a difference in the effect of experiential factors on consumer responses depending on the environmental responsiveness. This study provides theoretical suggestions for experiential marketing and presents practical implications for developing marketing strategies for digital retailers utilizing VR technology.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4706-4724
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• 2020

With various structured data, such as the company size, loan balance, and savings accounts, the voice of customer (VOC), which is text data containing contact history and counseling details was analyzed in this study. To analyze unstructured data, the term frequency-inverse document frequency (TF-IDF) analysis, semantic network analysis, sentiment analysis, and a convolutional neural network (CNN) were implemented. A performance comparison of the models revealed that the predictive model using the CNN provided the best performance with regard to predictive power, followed by the model using the TF-IDF, and then the model using semantic network analysis. In particular, a character-level CNN and a word-level CNN were developed separately, and the character-level CNN exhibited better performance, according to an analysis for the Korean language. Moreover, a systematic selection model for optimal text mining techniques was proposed, suggesting which analytical technique is appropriate for analyzing text data depending on the context. This study also provides evidence that the results of previous studies, indicating that individual customers leave when their loyalty and switching cost are low, are also applicable to corporate customers and suggests that VOC data indicating customers' needs are very effective for predicting their behavior.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.66-77
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• 2021

Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.

• The Journal of Industrial Distribution & Business
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• v.13 no.10
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• pp.1-8
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• 2022

Purpose: Support vector machines (SVMs) ensemble has been proposed to improve classification performance of Credit risk recently. However, currently used fusion strategies do not evaluate the importance degree of the output of individual component SVM classifier when combining the component predictions to the final decision. To deal with this problem, this paper designs a support vector machines (SVMs) ensemble method based on fuzzy integral, which aggregates the outputs of separate component SVMs with importance of each component SVM. Research design, data, and methodology: This paper designs a personal credit risk evaluation index system including 16 indicators and discusses a support vector machines (SVMs) ensemble method based on fuzzy integral for designing a credit risk assessment system to discriminate good creditors from bad ones. This paper randomly selects 1500 sample data of personal loan customers of a commercial bank in China 2015-2020 for simulation experiments. Results: By comparing the experimental result SVMs ensemble with the single SVM, the neural network ensemble, the proposed method outperforms the single SVM, and neural network ensemble in terms of classification accuracy. Conclusions: The results show that the method proposed in this paper has higher classification accuracy than other classification methods, which confirms the feasibility and effectiveness of this method.

• Korean journal of food and cookery science
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• v.31 no.4
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• pp.413-422
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• 2015

The purpose of this study was to examine the effects of a lifestyle consisting of a health oriented diet and personal motivation toward health improvement on an individual's desire to participate in condolence or "healing" -workshops and programs. In order to examine the influence of the "health diet" and motivation, the "health diet" lifestyle was classified into nutrition pursuit factors, psychological factors, food safety factors, and health conscious consumption factors. Personal motivation was categorized into perceived benefits, environmental factors and the individual's desire for happiness. Empirical analysis showed that nutrition pursuit factors had an impact on perceived benefits and the desire for happiness. Psychological aspect factors had a significant influence on perceived benefits, environmental factors and the desire for happiness. However, food safety factors and health conscious consumption factors did not have an effect on individual motivation to improve health. Regarding personal motivation toward health improvement on the desire for "healing", perceived benefits and environmental factors had significant influence. However, the individual's desire for happiness did not influence the demand for "healing". Regarding the effect of a "health diet" on the desire for "healing", only the psychological aspects of a "health diet" had any significant effects on the desire for "healing". The results from this study can help local organizations or service companies that provide "healing" programs with developing effective marketing strategies that could lead to greater customer satisfaction. Especially, the significant influence of psychological aspects of a "health diet" on the demand for "healing" is noteworthy in that this could play a key role in establishing a more effective marketing strategy to attract increasing numbers of consumers using health conscious diets.

• Journal of Agricultural Extension & Community Development
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• v.20 no.1
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• pp.143-172
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• 2013

This study aimed at learning the effect of farmers' individual competency on the performance of agricultural organization, and providing the preliminary data about strengthening the competitiveness of agriculture of the country by showing the effect of farmers' individual competency on the performance of agricultural organization. According to the results of our study, among 11 individual competencies, the ability to manage, customer satisfaction, marketing, and getting information have the positive relationship with the performance of agricultural organization, but strategic thinking has the negative relationship with the performance. The relationship between the performance and abstract competencies like teamwork, creativity, innovation, feasibility, and flexibility is not statistically significant. However, the abstract competencies are the core competencies within farmers, so farmers should be educated continuously in the long run in order to raise the performance.

• Knowledge Management Research
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• v.24 no.1
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• pp.73-97
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• 2023

Recently, the MyData market has been growing as the importance of data and issues related to personal information protection have drawn much attention together. MyData refers to the concept of guaranteeing an individual's right to personal information and providing and utilizing one's data according to individual consent. MyData service providers can combine and analyze customer information to provide personalized services. In the early days, the MyData business was activated mainly by private companies and the financial industry, but recently, public institutions are also actively taking advantage of MyData. Meanwhile, the importance of an individual's intention to provide MyData for the success of MyData businesses continues to increase, but research related to this is lacking. Moreover, existing studies have been mainly conducted on individual benefits of MyData; there are not enough studies in which both public benefit and perceived risk factors are considered at the same time. In this regard, this study intends to derive factors affecting the intention to provide MyData based on the privacy calculus model, examine their influencing mechanism, and further verify the moderating effects of individual capabilities and institutional type. This study can find academic significance in that it expanded and demonstrated the privacy calculus model in the context of MyData providing intention. In addition, the results of this study are expected to offer practical guidelines for developing and managing new services in MyData businesses.

• Korean Journal of Human Ecology
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• v.5 no.1
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• pp.43-53
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• 1996

The purpose of this study was to investigate the actual condition of fashion sales related persons and analyze their different role recognition in women's Ready-To-Wear shops. A questionnaire was administered to 378 fashion sales related persons in department stores and individual shops. Data were analyzed by using crosstabs, $X^2$, t-test, Scheffe's test and ANOVA by using of SPSS PC program. The results of this study were as follows: 1. In the role of fashion salespersons, managers participated highly in the merchandise buying plan, actual merchandise buying and advertisement, and shopmasters participated in the management of salespersons and keeping good relation with customers and display. 2. There was significant difference according to the existence of shopmasters in sales promotion. Shops with shopmasters had regular sales and filed up customer cards. 3. Shopmasters and salespersons attached importance to fashion information, market information, sales result information, and managers attached importance to customer information, enterprise environment information in utilizing of informations. Managers considered customer survey very important but shopmasters and salespersons did not. Shopmasters, managers, and salespersons all attached importance to customers' preference survey as customers' information source. 4. There were significant differences in lifestyle survey, buying method survey, preference survey, street fashion survey, brand identity survey and advertizement effect survey of customers by the different roles of fashion salespersons. 5. There were significant differences in the degree of merchandise knowledge, service and after service in sales service recognition by the different roles of fashion salespersons.

• Korean Journal of Health Education and Promotion
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• v.20 no.3
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• pp.125-143
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• 2003

With the shift of cause of death from infection to chronic, the health expenditure has risen dramatically. To curb the increasing health expenditure, programs and campaigns to promote health were proposed and implemented. Most of them, however, were not successful in achieving satisfactory results. Customer Relationship Management has been gradually accepted as an innovative approach to health promotion. The objective of this research was to develop a Customer Relationship Management system for providing comprehensive health care services to the residents in the community. Detailed objectives were as follows： The first objective was the development of the CRM system for health promotion. The second objective was the satisfaction assessment for the health promotion program using the CRM system. The third was the proposal for the effective utilization of the CRM system. The development methodology of the CRM system was Rapid Warehouse Developing Method. As a CRM system equipment, a workstation with GIS of Windows 2000 was selected. SQL Server 2000 was used as a development tool and database. The subjects of study were diabetic mellitus patients, hypertension patients, and vaccin patients. The campaign channel of patients was an autocalling system. For the satisfaction assessment, a survey was performed. The main content of the survey was satisfaction level. The satisfaction level of the health promotion program using CRM system was 79.3%. In consideration of the above findings, we suggested ways of improving the Health Promotion Program by using CRM. The first was the efficient selection of the subjects of the Health Promotion Program. The second was the development for health promotion program using CRM system(life time health of individual etc).

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.197-207
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• 2007

This thesis suggested that the 'customized' marketing would be a new strategy in terms of a marketing in the digital media age under the circumstances where a form of marketing was evolving in accordance with the convergence of digital media. Because of the media environment due to an 'individualization', the strategy would meet an individual demand of a consumer in a rapidly changing environment. The best marketing to capture a 'customer's heart' is not a brand that first entered the market, but the one that is first settled in a customer's heart. If a differentiated interactive marketing strategy is equipped, it is possible to capture a completely new market space ad create a profit over several years. In the aspect of an effect of a digital marketing, first, a concept relating to an interaction between a consumer and a producer is important. Secondly, the important one is an empathy marketing which is an emotional marketing through a brand image beyond a product. Thirdly, the author studied an orally transmitted marketing effect through digital media.