• Journal of Digital Convergence
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• v.17 no.12
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• pp.117-127
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• 2019

This study was done to analyze the relationship among the characteristic elements for a evaluation factor(design, function, quality, price, conveniency, personnel factor), the evaluation factor satisfaction, repurchase intention and recommend intention that the China cellular phone users perceived by group. The survey was divided into "design, function, quality, price, conveniency, personnel factor, repurchase intention and recommend intention". As a study result, every characteristic elements for a evaluation factor excepting price had an effect on independent variables such as design, function, quality, conveniency, personnel factor satisfaction. And all evaluation factors had an effect on repurchase and recommend intention. In conclusion, in order to increase the repurchase and recommend intention in China cellular phone market it would be necessary to improve the characteristic elements satisfaction for design, function and personnel factor. And after the design, function and personnel factor satisfaction were improved, we could improve the repurchase and recommend intention.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.23-35
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• 2017

With the popularization of mobile devices, the number of social network service users is increasing, thereby the amount of data is also increasing accordingly. As Internet of Things environment is expanding to connect things and people, there is information much more than before. In such an environment, it becomes very important to recommend the necessary information to the user. In this paper, we propose a recommendation method that considers new users in IoT environment. In the proposed method, we recommend the information by applying the centrality-based social network analysis method to the recommendation method using the social relationships in the social IoT. We describe the seven-step recommendation method and apply them to the music circle scenario of the IoT environment. Through the music circle scenario, we show that we can recommend more suitable information to new users in the IoT environment than the existing recommendation method.

• 한국정보통신설비학회:학술대회논문집
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• 2005.08a
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• pp.109-112
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• 2005

In this thesis, we recommend the method for VOD service traffic modeling. By the analysis of service traffic, we verify that the process of VOD service is the POISSON process. So it is important to determine the probability of the user's existence in the system. But, because it is difficult to measure, we recommend proper using of arrival rate and service rate.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.385-386
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• 2020

In this paper, we propose a collaborative filtering recommendation algorithm based on the LDA2Vec topic model. By extracting and analyzing the article's content, calculate their semantic similarity then combine the traditional collaborative filtering algorithm to recommend. This approach may promote the system's recommend accuracy.

• Korea Journal of Hospital Management
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• v.10 no.4
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• pp.23-50
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• 2005

The main objectives of this study are to compare the regional differences and to analyse the affecting factors of customer satisfaction. The subjects are 9 hospitals(5 Daegu region, 4 Seoul region) patient satisfaction index that were surveyed the 2004 Hospital Accreditation Program performed by KHIDI(Korea Health Industry Development Institute) and MOHW(Ministry of Health and Welfare). The sample used in this study consisted of 450 inpatients and 454 outpatients. The survey instrument is composed of physical environment items, physician factors, nursing staff factors, ancillary staff factors, administrative procedure items, and quality of hospital stay items. And overall satisfaction, intent to revisit, and intent to recommend as dependent variables are measured. Basically, the reliability and validity of survey items was evaluated. And the T-test was performed to compare regional differences of customer satisfaction. Finally to analyse the affecting factors on overall satisfaction, and customer loyalty(intent to revisit and intent to recommend), the multiple regression analysis was used. This study shows firstly, the Daegu region's patient satisfaction level of inpatients and outpatients is lower than Seoul region. Especially, nursing staff factors and quality of hospital stay items are very low on inpatient's satisfaction. Also all independent variables except the sufficiency of goods in hospital stand are very low on outpatient's satisfaction. Secondly, as a result of multiple regression analysis, ancillary staff factors(Beta=0.281) have a significant effect on overall satisfaction of inpatient cases in Daegu region. In regard to intent to revisit and intent to recommend, physical environment factors have a significant effect. Thirdly, in Seoul region, physical environment factors(Beta=0.430) have a significant effect on overall satisfaction of inpatient cases. In regard to intent to revisit and intent to recommend, administrative procedure items and nursing staff factors have a significant effect, respectively. In conclusion, these results indicate that hospitals in Daegu region make an effort to improve the customer satisfaction level, especially, of physical environment factors on inpatients and administrative procedure factors on outpatients

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.27 no.1
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• pp.35-39
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• 2016

Background and Objectives : Voice therapy is proven to be effective, but patients are reluctant to receive the therapy when physicians recommend it. This phenomenon may due to patients'lack of trust in or low satisfaction level of the therapy. This study aimed to evaluate patients'satisfaction level after voice therapy and identify factors that could increase the satisfaction. Materials and Methods : First, the fraction of patients who were recommended voice therapy ahead and completed it was studied, and survey was conducted on those who finished ten voice therapy sessions. The patients'1) satisfaction level during the therapy, 2) satisfaction level about physician's explanation about the therapy, 3) willingness to recommend, 4) satisfaction level about the results were assessed, and was correlated with overall satisfaction level. In each category, patients' gender-, age-, and disease type-related differences were analyzed. Results : Patients under 19 years old were most satisfied during the voice therapy; patients above 40 years old showed statistically significantly higher satisfaction level regarding satisfaction with physician explanation about treatments and with treatment results compared to other ages groups. Patients above 40 also showed the highest willingness to recommend. 26.5% of patients either refused to or discontinued voice therapy. 84.3% were satisfied with treatment results. Considering variabilities among factors, patients'satisfaction with physician explanation about treatment and willingness to recommend had positive correlation. Conclusion : Though 26.3% of patients received voice therapy when physicians recommended, patients who completed the therapy were overall satisfied.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.137-144
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• 2020

As foreign tourists visiting Korea increase and Koreans traveling overseas become more frequent, a study on the level of domestic consumers' acceptance of different cultures and the perception towards products from different cultures is needed. In this study, a perceptual curiosity, which is an individual personality, was divided into Diverse perceptual curiosity and Specific perceptual curiosity, and effects of perceptual curiosity on an attitude towards different cultures and an intention to recommend products from different cultures were examined. To prove validity of measurement items and reliability of data, SPSS and LISREL were used and to prove a hypothesis, a structural equation model was used. The study results showed that the Diverse perceptual curiosity, which is Hypothesis 1, had a positive effect on the attitude towards different cultures while the Specific perceptual curiosity, which is Hypothesis 2, did not have a significant effect on the attitude towards different cultures. In addition, it was shown that the attitude towards different cultures, which is Hypothesis 3, had a significant positive effect on the intention to recommend the products from different cultures.

• The Journal of Society for e-Business Studies
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• v.12 no.1
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• pp.99-122
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• 2007

The rule based system is inference engine which can correspond quickly to new business model change and improvement requirement by dealing with the business know-how and expert knowledge as well as business process of enterprise and has been trying to apply to the various industries. As a part of application cases for rule-based system, we develop and implement the rule-based insurance product recommend and design system for the efficient decision making of insurance product in insurance industry which is sensitively affected by needs of customers, various kinds of product, and environment changes. The process of fuzzy inference of the developed system helps to recommend and design the proper Insurance product using the information of the present customer and the previous members. This approach is expected that it will be the core technology for the recommendation and design of the tailored insurance product by deciding and corresponding needs of various kinds of customer quickly in future insurance industry.

• The Research Journal of the Costume Culture
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• v.24 no.6
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• pp.854-872
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• 2016

The purpose of this paper is to examine the effect that Chinese tourists' perceptions of beauty products and their friendliness toward Korean culture have on beauty tourism, particularly on Chinese tourists' intent to purchase, re-purchase, and recommend beauty products. Between the 10th and 21st of June, 2016, a total of 277 questionnaires were distributed in Seoul, Busan, and Daegu using SPSS 21.0. Cronbach's ${\alpha}$ was undertaken to test the reliability of the questions and an analysis of the frequency, factors, t-test, and Sobel test used in the study. Korean beauty was derived from two factors: "product favorability" and "product excellence and credibility." Product favorability had a significant effect on the intent to purchase, as did participants' friendliness toward Korean culture. Re-purchases and the intent to recommend beauty products were also significantly affected. In the relationship between the perception of beauty products and the intent to purchase, the study revealed partial mediation effects of the participants' friendliness toward Korean culture on product favorability and complete mediation effects on product excellence and credibility. Friendliness toward Korean culture had partially mediated the effect that product favorability had on the intent to re-purchase and recommend. Tourists' friendliness toward Korean culture had complete mediation on the effect that product excellence and credibility had on the intent to re-purchase and recommend. According to the Gender Equality and Family Act, the difference between buying and selling beauty depends on the difference between purchase and intentions. Friendliness toward Korean culture has become an important variable thanks to product superiority and reliability.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.1027-1038
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• 2006

There are many technical problems in the recommendation system based on very large database(VLDB). So, it is necessary to study the recommendation system' structure and the data-mining technique suitable for the large scale Internet shopping mail. Thus we design and implement the product recommendation system using k-means clustering algorithm and sequential pattern technique which can be used in large scale Internet shopping mall. This paper processes user information by batch processing, defines the various categories by hierarchical structure, and uses a sequential pattern mining technique for the search engine. For predictive modeling and experiment, we use the real data(user's interest and preference of given category) extracted from log file of the major Internet shopping mall in Korea during 30 days. And we define PRP(Predictive Recommend Precision), PRR(Predictive Recommend Recall), and PF1(Predictive Factor One-measure) for evaluation. In the result of experiments, the best recommendation time and the best learning time of our system are much as O(N) and the values of measures are very excellent.