• Title/Summary/Keyword: Service Review

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Effect of Virtual Reality Program on Balance for the Elderly in Korea: Systematic Review (한국 노인을 대상으로 한 가상현실 프로그램이 균형에 미치는 효과: 체계적 문헌고찰)

  • Lee, Eun-A;Jung, Jae-Hun
    • Journal of Industrial Convergence
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    • v.18 no.5
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    • pp.42-53
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    • 2020
  • This study approached the elderly in Korea with a systematic review to find out the effect of virtual reality program arbitration on balance, which the evidence for the virtual reality program is provided. Total of 94 papers were searched through the database Nuri Media (DBpia), Scholarship (earticle), Korean Studies Information (KISS), National Digital Science Library (NDSL), the Korea Educational Research and Information Service (RISS), Kyobo Book Scholar (RISS), and Hakjisa New Thesis on Literature Selection using PRISMA flow-chart from January 2005 to May 2020 based on the final literature selection process and analysis. The quality level of the literature was found to be three volumes (50.0%) of the base level I, one (16.7%) of the II, and two of the III (33.3%). The most common type of virtual reality program was Wii-fit balance of 4 (66.7%), and the effect of virtual reality program arbitration was significant overall through evaluation tools for balance and walking ability. This is expected to effectively apply the virtual reality program to the elderly. In addition, since clinical application basis has been provided, further studies applying various virtual reality program interventions need to be addressed.

An Online Review Mining Approach to a Recommendation System (고객 온라인 구매후기를 활용한 추천시스템 개발 및 적용)

  • Cho, Seung-Yean;Choi, Jee-Eun;Lee, Kyu-Hyun;Kim, Hee-Woong
    • Information Systems Review
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    • v.17 no.3
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    • pp.95-111
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    • 2015
  • The recommendation system automatically provides the predicted items which are expected to be purchased by analyzing the previous customer behaviors. This recommendation system has been applied to many e-commerce businesses, and it is generating positive effects on user convenience as well as the company's revenue. However, there are several limitations of the existing recommendation systems. They do not reflect specific criteria for evaluating products or the factors that affect customer buying decisions. Thus, our research proposes a collaborative recommendation model algorithm that utilizes each customer's online product reviews. This study deploys topic modeling method for customer opinion mining. Also, it adopts a kernel-based machine learning concept by selecting kernels explaining individual similarities in accordance with customers' purchase history and online reviews. Our study further applies a multiple kernel learning algorithm to integrate the kernelsinto a combined model for predicting the product ratings, and it verifies its validity with a data set (including purchased item, product rating, and online review) of BestBuy, an online consumer electronics store. This study theoretically implicates by suggesting a new method for the online recommendation system, i.e., a collaborative recommendation method using topic modeling and kernel-based learning.

Review of Korean Medicine Treatments for Purpura and Vasculitis in Korean Journals (혈관염 및 자반증의 한의학적 치료에 대한 국내 임상 논문 분석)

  • Kang, Dong-Won;Park, Jung-Gun;Han, Chang-Yi;Kim, Kyu-Seok;Kim, Yoon-Bum
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.32 no.3
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    • pp.116-135
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    • 2019
  • Objectives : The purpose of this study is to analyze how purpura and vasculitis have been treated with Korean medicine and potentially to present with future direction of research and treatment. Methods : We searched clinical studies from the Korean databases including Oriental medicine Advanced Searching Integrated System(OASIS), Korean Traditional Knowledge Portal(KTKP), National Discovery for Science Leader(NDSL), Research Information Sharing Service(RISS), using keywords related to "Purpura" and "Vasculitis" from January 2000 to May 2019. Results : A total of 20 studies were selected for analysis. More than half of the patients provided with detailed information were under 19 year-olds, and upper respiratory infection, stress and fatigue, seasonal factor were among the most frequently stated as predisposing factors. Among many treatment modalities, herbal medicine was the most frequently used, followed by acupuncture and herbal acupuncture. 23 basic herbal medicine formulas were retrieved from 20 articles, most frequently used being Guibi-tang(歸脾湯加味), Samul-tang(四物湯加味) and Yukmijihwang-tang(六味地黃湯加味). In total, 122 Korean medicine herbs were used, most frequently used herbs being Glycyrrhizae Radix et Rhizoma(甘草), Angelicae Gigantis Radix(當歸), Poria Sclerotium(茯?) and Paeoniae Radix(芍藥). By its category, herbs were mostly classified into Tonyfying and replenishing medicinal(補益藥), Heat-clearing medicinal(淸熱藥) and Exterior-releasing medicinal(解表藥). Patients with total treatment period of 3 months or under were 2/3 of all cases provided with detailed information. Follow up periods were short in general with only 6 cases of over 6 months. The primary motive of patients to receive Korean medicine treatments was unresponsiveness or adverse effects of western medication. Conclusion : Through this literature review, we could find out tendencies of Korean medicine treatments of purpura and vasculitis up to date and some points that may have clinical significance.

An Integrated Review on Main Caregiver's Burden of Elderly in Korean Nursing Home (한국 요양시설 노인의 주 돌봄자 부담감에 대한 통합적 고찰)

  • Kim, Eun Jeong;Sung, Kyung Mi
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.267-277
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    • 2019
  • The purpose of this study is to investigate the burden of caring for the care-givers of the elderly in Korea by using an integrated literature review method. A total of 23 studies were analyzed using a search database. When care-givers had higher sense of filial and guilt or more than two diseases, they showed high level of feeling of burden. Also, they had high level of feeling of physical burden by their oldness, service period (especially at the period of 1-3 years). In the feeling of economic burden, they had high level of feeling of burden by their oldness, or elderly's disease periods. The feeling of burden by psychological condition was found in elderly in aged and the beginning of admission of nursing home. The feeling of burden by environment situation was found when the functional status of the elderly was bad. Therefore, we need to concern care-givers's feeling of burden with elderly people in the nursing home. In the future, I believe that the findings of this study will be helpful for development of the intervention program for alleviate burden for the care-giver.

Formulating Strategies from Consumer Opinion Analysis on AI Kids Phone using Text Mining (AI 키즈폰의 소비자리뷰 분석을 통한 제품개선 전략에 대한 연구)

  • Kim, Dohun;Cha, Kyungjin
    • The Journal of Society for e-Business Studies
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    • v.24 no.2
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    • pp.71-89
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    • 2019
  • In order to come up with satisfying product and improvement, firms use traditional marketing research methods to obtain consumers' opinions and further try to reflect them. Recently, gathering data from consumer communication platforms like internet and SNS has become popular methods. Meanwhile, with the development of information technology, mobile companies are launching new digital products for children to protect them from harmful content and provide them with necessary functions and information. Among these digital products, Kids Phone, which is a wearable device with safe functions that enable parents to learn childern's location. Kids phone is relatively cheaper and simpler than smartphone but it is noted that there are several problems such as some useless functions and frequent breakdowns. This study analyzes the reviews of Kids phones from domestic mobile companies, identifies the characteristics, strengths and weaknesses of the products, proposes improvement methods strategies for devices and services through SNS consumer analysis. In order to do that customer review data from online shopping malls was gathered and was further analyzed through text mining methods such as TF/IDF, Sentiment Analysis, and network analysis. Customer review data was gathered through crawling Online shopping Mall and Naver Blog/$Caf\acute{e}$. Data analysis and visualization was done using 'R', 'Textom', and 'Python'. Such analysis allowed us to figure out main issues and recent trends regarding kids phones and to suggest possible service improvement strategies based on sentiment analysis.

Analysis of Resident's Satisfaction and Its Determining Factors on Residential Environment: Using Zigbang's Apartment Review Bigdata and Deeplearning-based BERT Model (주거환경에 대한 거주민의 만족도와 영향요인 분석 - 직방 아파트 리뷰 빅데이터와 딥러닝 기반 BERT 모형을 활용하여 - )

  • Kweon, Junhyeon;Lee, Sugie
    • Journal of the Korean Regional Science Association
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    • v.39 no.2
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    • pp.47-61
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    • 2023
  • Satisfaction on the residential environment is a major factor influencing the choice of residence and migration, and is directly related to the quality of life in the city. As online services of real estate increases, people's evaluation on the residential environment can be easily checked and it is possible to analyze their satisfaction and its determining factors based on their evaluation. This means that a larger amount of evaluation can be used more efficiently than previously used methods such as surveys. This study analyzed the residential environment reviews of about 30,000 apartment residents collected from 'Zigbang', an online real estate service in Seoul. The apartment review of Zigbang consists of an evaluation grade on a 5-point scale and the evaluation content directly described by the dweller. At first, this study labeled apartment reviews as positive and negative based on the scores of recommended reviews that include comprehensive evaluation about apartment. Next, to classify them automatically, developed a model by using Bidirectional Encoder Representations from Transformers(BERT), a deep learning-based natural language processing model. After that, by using SHapley Additive exPlanation(SHAP), extract word tokens that play an important role in the classification of reviews, to derive determining factors of the evaluation of the residential environment. Furthermore, by analyzing related keywords using Word2Vec, priority considerations for improving satisfaction on the residential environment were suggested. This study is meaningful that suggested a model that automatically classifies satisfaction on the residential environment into positive and negative by using apartment review big data and deep learning, which are qualitative evaluation data of residents, so that it's determining factors were derived. The result of analysis can be used as elementary data for improving the satisfaction on the residential environment, and can be used in the future evaluation of the residential environment near the apartment complex, and the design and evaluation of new complexes and infrastructure.

An Empirical Analysis on the Appeal Case of Origin Verification for Korean Import Goods Using Bootstrapping Technique (부트스트랩 기법을 활용한 한국 수입 상품의 원산지검증 불복사례 실증분석)

  • Kim, Jong-Hyuk;Heo, Sang-Hyun;Kim, Suk-Chul
    • Korea Trade Review
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    • v.42 no.4
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    • pp.93-114
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    • 2017
  • Under the FTA agreement, preferential tariffs between FTA members will result in tariff reductions. In order to ensure the stable use of the FTA tariff system, it is necessary for the customs authorities to determine whether the origin goods are clearly applicable. This study analyzed the procedure of appeal according to the origin verification system based on the decision made by Korea Customs Service and Tax Tribunal. From this, we examined whether the rate of re-claiming a case rejected in the 'Review System of the Legality Before Taxation' differs. In addition, we carried out a quantitative analysis using bootstrapping technique in order to overcome the scarcity cases of verification of origin among FTA members. The implications of this paper are summarized as follows: First, we tested the hypothesis that the re-claiming rate of Western countries is higher. Second, some issues represented higher re-claiming rate. Third, there was no significant difference between the verification group and the re-claiming rate. Finally, even if an applicant makes a claim again, there is a possibility of being rejected again.

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Domestic Clinical Research Trends of Shinbaro Pharmacopuncture: Scoping Review (신바로 약침의 국내 임상 연구 동향: 스코핑 리뷰)

  • Yeongmin Kim;Yunhee Han;Seungkwan Choi;Jungho Jo;Byeonghyeon Jeon;Hyeonjun Woo;Wonbae Ha;Junghan Lee
    • Journal of Korean Medicine Rehabilitation
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    • v.33 no.4
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    • pp.125-144
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    • 2023
  • Objectives This study aimed to investigate domestic clinical research trends in Shinbaro pharmacopuncture, identify diseases managed using Shinbaro pharmacopuncture, and suggest the direction for future studies to increase its clinical utilization. Methods This study used five steps proposed by Arksey and O'Malley and the PRISMA-extension for scoping reviews checklist. We examined published literature on Shinbaro pharmacopuncture studies reported until June 5, 2023, in the following eight databases (Research Information Sharing Service, Science ON, Oriental Medicine Advanced Searching Integrated System, KMBASE, The Society of Internal Korean Medicine, PubMed, EMBASE, and the Cochrane Library). The search terms used were 'Shinbaro' or 'Sinbaro'. Results A total of 47 studies were included in our analysis. Of these, 37 (78.7%) were interference time series studies. Shinbaro pharmacopuncture was the most frequently used treatment for lumbosacral disease (n=15). In the facial area, ST4 and ST6 were used in five out of six studies, and in the shoulder area, TE14 and LI15 were used in all studies. Nine of the 15 studies in the lumbosacral area used the EX-B2. The other parts mostly used the pressure points. Compared to other pharmacopuncture methods, the treatment effect was similar to that of bee venom, and faster than that of jungsongouhyul. Conclusions This is the first scoping review of Shinbaro pharmacopuncture therapy in South Korea. Studies with a high level of evidence based on sole treatment, large capacities, and standardization of Shinbaro pharmacopuncture need to be conducted to increase its clinical utilization.

Analysis of the Effects of E-commerce User Ratings and Review Helfulness on Performance Improvement of Product Recommender System (E-커머스 사용자의 평점과 리뷰 유용성이 상품 추천 시스템의 성능 향상에 미치는 영향 분석)

  • FAN, LIU;Lee, Byunghyun;Choi, Ilyoung;Jeong, Jaeho;Kim, Jaekyeong
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.311-328
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    • 2022
  • Because of the spread of smartphones due to the development of information and communication technology, online shopping mall services can be used on computers and mobile devices. As a result, the number of users using the online shopping mall service increases rapidly, and the types of products traded are also growing. Therefore, to maximize profits, companies need to provide information that may interest users. To this end, the recommendation system presents necessary information or products to the user based on the user's past behavioral data or behavioral purchase records. Representative overseas companies that currently provide recommendation services include Netflix, Amazon, and YouTube. These companies support users' purchase decisions by recommending products to users using ratings, purchase records, and clickstream data that users give to the items. In addition, users refer to the ratings left by other users about the product before buying a product. Most users tend to provide ratings only to products they are satisfied with, and the higher the rating, the higher the purchase intention. And recently, e-commerce sites have provided users with the ability to vote on whether product reviews are helpful. Through this, the user makes a purchase decision by referring to reviews and ratings of products judged to be beneficial. Therefore, in this study, the correlation between the product rating and the helpful information of the review is identified. The valuable data of the evaluation is reflected in the recommendation system to check the recommendation performance. In addition, we want to compare the results of skipping all the ratings in the traditional collaborative filtering technique with the recommended performance results that reflect only the 4 and 5 ratings. For this purpose, electronic product data collected from Amazon was used in this study, and the experimental results confirmed a correlation between ratings and review usefulness information. In addition, as a result of comparing the recommendation performance by reflecting all the ratings and only the 4 and 5 points in the recommendation system, the recommendation performance of remembering only the 4 and 5 points in the recommendation system was higher. In addition, as a result of reflecting review usefulness information in the recommendation system, it was confirmed that the more valuable the review, the higher the recommendation performance. Therefore, these experimental results are expected to improve the performance of personalized recommendation services in the future and provide implications for e-commerce sites.

The Relationship between Trust, Trustworthiness, and Repeat Purchase Intentions: A Multidimensional Approach (신뢰대상의 다차원적 접근법에 의한 신뢰와 재구매 의도와의 관계)

  • Lee, Soo-Hyung;Park, Mi-Ryong
    • Journal of Global Scholars of Marketing Science
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    • v.18 no.1
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    • pp.1-31
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    • 2008
  • Trust is central to human relationships, at all times and places. The importance of trust is fundamental in all areas of human life, not only in the area of business administration. 2,500 years ago in China, Confucius taught that the foundation of politics was the trust of the people, more important even than military strength or the supply of food. Shakespeare's play, "Much Ado about Nothing' is about trust and deception. These days, trust and transparency in a commercial organization's business culture form the basis of the 'social capital' by which that organization increases its productivity. A successful company raises productivity by the accumulation of social capital, derived from a trust relationship between business partners, and between the company and consumers. Trust is the crucial factor. At the national level, building trust determines a nation's competitiveness. For a company, long term trust relationships with customers are essential for its survival in a business environment of rapid change. Such relationships, based on trust, are important assets to ensure a company's competitive advantage, and need to be organic to that company's business culture. Because of this importance, trust relationships have been studied in diverse areas within business administration, and especially within marketing, where they form the basis of a successful relationship between producer and consumer. However, what has been lacking is a unified definition of trust. Research has been conducted on the basis of various definitions and models. The majority of researchers have not considered the multidimensional character of the concept of trust until now. Approaches based on a one dimensional model have undermined the value of research results. Furthermore, researchers have only considered trust and trustworthiness as a single component. The majority of research has explored the consequences of perceived trust for outcomes such as loyalty or cooperation, but has neglected the effects of trustworthiness upon the mechanisms of consumer trust. This study focuses on the dimension of trust from such a perspective. It seeks to verify the effect of trust on customer intentions by breaking it down into three separate components: 1) the salesperson, 2) the product/service, and 3) the company. The purposes of this paper are as follows: Firstly, we review the multidimensional nature of trust objects: the salesperson, the product/service, and the company. Secondly, we analyze the relationship between multidimensional trust and trustworthiness. Thirdly, we analyze the connection between trust and repeat purchase intentions for the maintenance of long term relationships. For these purposes the author has developed several hypotheses as follows: H1-1: The competence of a salesperson is positively associated with the trust given by the consumer to the salesperson. H1-2: The benevolence of a salesperson is positively associated with the trust given by the consumer to the salesperson. H2-1: The competence of product/service is positively associated with the trust given by the consumer to the product/service. H2-2: The benevolence of product/service is positively associated with the trust given by the consumer to the product/service. H3-1: The reputation of a company is positively associated with the trust given by the consumer to the company. H3-2: The physical environment of a company is positively associated with the trust given by the consumer to the company. H4-1: Trust in a salesperson is positively associated with repeat purchase intentions. H4-2: Trust in a product/service is positively associated with repeat purchase intentions. H4-3: Trust in a company is positively associated with repeat purchase intentions. The data was compiled from 366 questionnaires. 500 questionnaires were collected, but some of the data was considered unsuitable and inappropriate. The subjects of the survey were male and female customers purchasing products at department stores in Seoul, Daegu and Gyeongbuk. It was carried out between Oct. 25 and 29, 2007. The data was analyzed by frequency analysis using SPSS 12.0 and structural equation modeling using LISREL 8.7. The result of the overall model analysis is as follows: Chi-Square=445.497, d.f.=185, p-value=0.0, GFI=.901, RMSEA=.0617, NNFI=.986, NFI=.981, CFI=.989, AGFI=.864, RMR=.0872. The results of the overall model analysis were coherent. It was found that trust is a multi-dimensional construct, that each of the dimensions of trust are meaningful influences on customer's repurchase intention. Trust in a company may be the most relevant, while trust in a product/service and a salesperson may be less relevant to repurchase intentions. The effective factors in determining trust in a salesperson and a company's product/service were found to be competence and benevolence. Factors in determining trust in a company were its reputation and physical environment, and the relationship of each effective trust factor has been verified in this research. As a result, it was found that competence and benevolence have a meaningful influence on trust in a salesperson and in product/service. It was also found that a company's reputation influences the overall trust in the company significantly but a company's physical environment does not have much effect.

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