• Korean Journal of Health Education and Promotion
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• v.1 no.1
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• pp.72-82
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• 1983

The purpose of this study is to provide the basic data necessary for the effective performance of administrative readjustment and demend and suppley medical care service by of analysing the extent of satisfaction of outpatient toward hospital. The subjects of this study are the 832 outpatients (398 male and 434 female) visit to 2 different university hospital in Seoul. The data were collected through self-administered techniques with a structured questionnaire from Oct.21 to Nov. 9, 1982. All the collected data were analyzed by means of percentage, mean and standard deviation. The results were as follows: 1. Those who are between :30 and 39 of age constitute the largest part of them as being 31.7 percent of the whole body. 40.0 percent of them graduated from the college and they take the lergest part of those who answered the questionnaire. 43.3 percent of the patients visit to the hospital by the reason for the reputation of a doctor and they take the largest part of the subjects. 2. The extent of satisfaction for hospital system. The mean extent of satisfaction for hospital system was revealed 2.50 scores, which is evaluated to neutral. The mean extent of satisfaction for waiting time of prescribed medicine presented 1.51 scores, the lowest among the component of hospital system, which is evaluated to high dissatisfaction. 3. The extent of satisfaction for the environment and facilities of hospital. The mean extent of satisfaction for the environment and facilities of hospital was revealed 3.08 scores, which is evaluated to moderate satisfaction. 4. The extent of satisfaction for doctor and other hospital employees. The mean extent of satisfaction for doctor and other hospital employees was revealed 3.05 scores which is evaluated to moderate satisfaction. The mean extent of satisfaction for doctor presented 3.39 scores, the highest among the components of doctor and other hospital employees. 5. The extent of satisfaction for charge of hospital. The mean extent of satisfaction for charge of hospital was revealed 2.74 scores, which is evaluated to neutral. 6. The extent of whole satisfaction for hospital. The mean extent of whole satisfaction for hospital was revealed 2.84 scores which is evaluated to neutral.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.101-109
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• 2012

It is commonly recognized that railway is one of the representative transportation and it offers public service based on strategies for being rapid, automation, safety. Since the opening of high speed railway, 3-hundred-million people have used it and acknowledged its efficiency. However, derailed accident at Kwangmyeong station in February, 2011, frequent malfunction of KTX-Sancheon, and accidents by engineer's careless fault damaged on credibility of safety, Especially, spreaded accidents through social networking service by cell phones amplified anxiety of public, being criticized by the press. This study analyzed statistics of past accident and cases of passing-by accident, and surveyed 152 KTX captain engineers about their recognition of the accident by careless fault and experiences of possibility of occurrence for preventing engineer's careless fault and restoring trust According to the analysis, engineers worry about responsibility and disadvantages related to the accidents for the most, and they are nervous about malfunction for the second most. This study presents prevention methods regarding the result. First, it is required to improve mental stability and concentration on their work, secondly, advanced ability to cope with malfunction or error through repetitive education and training are required to increase confidence, and for the last, improvement of operational supporting system such as ATP, GPS to prevent errors by human factors. Improvement of the system is expected to lead engineers to prevent careless fault and regain the reputation of railway.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.194-204
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• 2019

The mobile payment app market has been expanding recently. However, the usage rate of mobile payment apps is not meeting service providers' expectations due to concerns about security and privacy. This study investigated how personal predisposition and how the security signals of the payment app affect users' perceived privacy and security risks, and how these factors ultimately affect the trust of mobile payment apps. The results showed that privacy concerns increase the risk of perceived personal information leaks and reduce perceived mobile system security, while familiarity, perceived reputation, and assurance seal reduce the risk of perceived personal information leaks and increase perceived mobile system security. Finally, it revealed that the reduced risk of perceived personal information leaks and the increased security of mobile systems had a positive impact on the reliability of mobile payment apps.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.43-61
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• 2016

Customer reviews help potential customers make purchasing decisions. However, the prevalence of reviews on websites push the customer to sift through them and change the focus from a mere search to identifying which of the available reviews are valuable and useful for the purchasing decision at hand. To identify useful reviews, websites have developed different mechanisms to give customers options when evaluating existing reviews. Websites allow users to rate the usefulness of a customer review as helpful or not. Amazon.com uses a ratio-type helpfulness, while Yelp.com uses a count-type usefulness index. This usefulness index provides helpful reviews to future potential purchasers. This study investigated the effects of sentiment and readability on useful votes for customer reviews. Similar studies on the relationship between sentiment and readability have focused on the ratio-type usefulness index utilized by websites such as Amazon.com. In this study, Yelp.com's count-type usefulness index for restaurant reviews was used to investigate the relationship between sentiment/readability and usefulness votes. Yelp.com's online customer reviews for stores in the beverage and food categories were used for the analysis. In total, 170,294 reviews containing information on a store's reputation and popularity were used. The control variables were the review length, store reputation, and popularity; the independent variables were the sentiment and readability, while the dependent variable was the number of helpful votes. The review rating is the moderating variable for the review sentiment and readability. The length is the number of characters in a review. The popularity is the number of reviews for a store, and the reputation is the general average rating of all reviews for a store. The readability of a review was calculated with the Coleman-Liau index. The sentiment is a positivity score for the review as calculated by SentiWordNet. The review rating is a preference score selected from 1 to 5 (stars) by the review author. The dependent variable (i.e., usefulness votes) used in this study is a count variable. Therefore, the Poisson regression model, which is commonly used to account for the discrete and nonnegative nature of count data, was applied in the analyses. The increase in helpful votes was assumed to follow a Poisson distribution. Because the Poisson model assumes an equal mean and variance and the data were over-dispersed, a negative binomial distribution model that allows for over-dispersion of the count variable was used for the estimation. Zero-inflated negative binomial regression was used to model count variables with excessive zeros and over-dispersed count outcome variables. With this model, the excess zeros were assumed to be generated through a separate process from the count values and therefore should be modeled as independently as possible. The results showed that positive sentiment had a negative effect on gaining useful votes for positive reviews but no significant effect on negative reviews. Poor readability had a negative effect on gaining useful votes and was not moderated by the review star ratings. These findings yield considerable managerial implications. The results are helpful for online websites when analyzing their review guidelines and identifying useful reviews for their business. Based on this study, positive reviews are not necessarily helpful; therefore, restaurants should consider which type of positive review is helpful for their business. Second, this study is beneficial for businesses and website designers in creating review mechanisms to know which type of reviews to highlight on their websites and which type of reviews can be beneficial to the business. Moreover, this study highlights the review systems employed by websites to allow their customers to post rating reviews.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.119-138
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• 2016

Since the Industrial Revolution, which made the mass production and mass distribution of standardized goods possible, machine-made (manufactured) products have accounted for the majority of the market. However, in recent years, the phenomenon of purchasing even more expensive handmade products has become a noticeable trend as consumers have started to acknowledge the value of handmade products, such as the craftsman's commitment, belief in their quality and scarcity, and the sense of self-esteem from having them,. Consumer interest in these handmade products has shown explosive growth and has been coupled with the recent development of three-dimensional (3D) printing technologies. Etsy.com is the world's largest online handmade platform. It is no different from any other online platform; it provides an online market where buyers and sellers virtually meet to share information and transact business. However, Etsy.com is different in that shops within this platform only deal with handmade products in a variety of categories, ranging from jewelry to toys. Since its establishment in 2005, despite being limited to handmade products, Etsy.com has enjoyed rapid growth in membership, transaction volume, and revenue. Most recently in April 2015, it raised funds through an initial public offering (IPO) of more than 1.8 billion USD, which demonstrates the huge potential of online handmade platforms. After the success of Etsy.com, various types of online handmade platforms such as Handmade at Amazon, ArtFire, DaWanda, and Craft is ART have emerged and are now competing with each other, at the same time, which has increased the size of the market. According to Deloitte's 2015 holiday survey on which types of gifts the respondents plan to buy during the holiday season, about 16% of U.S. consumers chose "homemade or craft items (e.g., Etsy purchase)," which was the same rate as those for the computer game and shoes categories. This indicates that consumer interests in online handmade platforms will continue to rise in the future. However, this high interest in the market for handmade products and their platforms has not yet led to academic research. Most extant studies have only focused on machine-made products and intelligent services for them. This indicates a lack of studies on handmade products and their intelligent services on virtual platforms. Therefore, this study used signaling theory and prior research on the effects of sellers' characteristics on their performance (e.g., total sales and price premiums) in the buyer-seller relationship to identify the key influencing e-Image factors (e.g., reputation, size, information sharing, and length of relationship). Then, their impacts on the performance of shops within the online handmade platform were empirically examined; the dataset was collected from Etsy.com through the application of web harvesting technology. The results from the structural equation modeling revealed that the reputation, size, and information sharing have significant effects on the total sales, while the reputation and length of relationship influence price premiums. This study extended the online platform research into online handmade platform research by identifying key influencing e-Image factors on within-platform shop's total sales and price premiums based on signaling theory and then performed a statistical investigation. These findings are expected to be a stepping stone for future studies on intelligent online handmade services as well as handmade products themselves. Furthermore, the findings of the study provide online handmade platform operators with practical guidelines on how to implement intelligent online handmade services. They should also help shop managers build their marketing strategies in a more specific and effective manner by suggesting key influencing e-Image factors. The results of this study should contribute to the vitalization of intelligent online handmade services by providing clues on how to maximize within-platform shops' total sales and price premiums.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.39-70
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• 2017

Data-drive analytics techniques have been recently applied to public surveys. Instead of simply gathering survey results or expert opinions to research the preference for a recently launched product, enterprises need a way to collect and analyze various types of online data and then accurately figure out customer preferences. In the main concept of existing data-based survey methods, the sentiment lexicon for a particular domain is first constructed by domain experts who usually judge the positive, neutral, or negative meanings of the frequently used words from the collected text documents. In order to research the preference for a particular product, the existing approach collects (1) review posts, which are related to the product, from several product review web sites; (2) extracts sentences (or phrases) in the collection after the pre-processing step such as stemming and removal of stop words is performed; (3) classifies the polarity (either positive or negative sense) of each sentence (or phrase) based on the sentiment lexicon; and (4) estimates the positive and negative ratios of the product by dividing the total numbers of the positive and negative sentences (or phrases) by the total number of the sentences (or phrases) in the collection. Furthermore, the existing approach automatically finds important sentences (or phrases) including the positive and negative meaning to/against the product. As a motivated example, given a product like Sonata made by Hyundai Motors, customers often want to see the summary note including what positive points are in the 'car design' aspect as well as what negative points are in thesame aspect. They also want to gain more useful information regarding other aspects such as 'car quality', 'car performance', and 'car service.' Such an information will enable customers to make good choice when they attempt to purchase brand-new vehicles. In addition, automobile makers will be able to figure out the preference and positive/negative points for new models on market. In the near future, the weak points of the models will be improved by the sentiment analysis. For this, the existing approach computes the sentiment score of each sentence (or phrase) and then selects top-k sentences (or phrases) with the highest positive and negative scores. However, the existing approach has several shortcomings and is limited to apply to real applications. The main disadvantages of the existing approach is as follows: (1) The main aspects (e.g., car design, quality, performance, and service) to a product (e.g., Hyundai Sonata) are not considered. Through the sentiment analysis without considering aspects, as a result, the summary note including the positive and negative ratios of the product and top-k sentences (or phrases) with the highest sentiment scores in the entire corpus is just reported to customers and car makers. This approach is not enough and main aspects of the target product need to be considered in the sentiment analysis. (2) In general, since the same word has different meanings across different domains, the sentiment lexicon which is proper to each domain needs to be constructed. The efficient way to construct the sentiment lexicon per domain is required because the sentiment lexicon construction is labor intensive and time consuming. To address the above problems, in this article, we propose a novel product reputation mining algorithm that (1) extracts topics hidden in review documents written by customers; (2) mines main aspects based on the extracted topics; (3) measures the positive and negative ratios of the product using the aspects; and (4) presents the digest in which a few important sentences with the positive and negative meanings are listed in each aspect. Unlike the existing approach, using hidden topics makes experts construct the sentimental lexicon easily and quickly. Furthermore, reinforcing topic semantics, we can improve the accuracy of the product reputation mining algorithms more largely than that of the existing approach. In the experiments, we collected large review documents to the domestic vehicles such as K5, SM5, and Avante; measured the positive and negative ratios of the three cars; showed top-k positive and negative summaries per aspect; and conducted statistical analysis. Our experimental results clearly show the effectiveness of the proposed method, compared with the existing method.

• Journal of the East Asian Society of Dietary Life
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• v.27 no.4
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• pp.473-476
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• 2017

Social network service (SNS) plays an important role in food service industry consumers SNS restaurants, and other consumers review the reputations. It was assumed that bad reputation could have poor food hygiene. Therefore, this study evaluated the relation between reputations SNS and food hygiene. Restaurants were searched using web portals and 12 restaurants (six for good and six for bad reputation) were selected. Microbiological analysis (total aerobic bacteria, coliform, and Escherichia coli) for main and side dish was performed. Detection frequencies for total aerobic bacteria were not different between good and bad restaurants. However, bad restaurants had higher detection frequencies (70.8%) with mean of 3.2 log CFU/g for coliform than good restaurants (62.5%; mean of 2.3 log CFU/g). In addition, bad restaurants had higher detection frequencies (25%) of E. coli with mean of 0.8 log CFU/g than good restaurants (8.3%; mean of 0.5 log CFU/g). This result indicates that consumer reputations SNS are related to food hygiene, and the reputation data can be used for food hygiene inspection by food safety agencies.

• Journal of Korea Game Society
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• v.5 no.1
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• pp.45-52
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• 2005

This paper is re-lighting(reputation) that Ki-saeng is a artist in Chosun age to concern with history, social lives, role, art school of Ki-saeng and Ki-saeng and also is re-light and analysis educate system, rules, curriculum, time table of teaching, graduated album, photos of art school of Pyongyang Ki-saeng. And the using these traditional culture materials of Ki-saeng can create various digital contents of game contents, animation, drama, film and characters. Specially, it is propose to use culture contents that creation and pick out of beauty, talent, social system and art school of Ki-saeng in Chosun age willing to use concept design, scenario of game, animation, drama and film etc.

• Journal of Arbitration Studies
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• v.17 no.2
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• pp.23-41
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• 2007

The role of ICC Court of Arbitration in ICC Arbitration is critical in maintaining the good reputation and worldwide recognition. While most arbitration institutions are the products of regional on national private associations, which play a relatively limited role in appointing or confirming the arbitrators, the Court of Arbitration is not only international in the appointment of arbitrators through the each National Committee, but also intervene in the confirmation of the prospective arbitrators proposed by the parties. Thus the ICC Arbitration is undoubtedly the most highly-supervised form of institutional arbitration available. The purpose of this paper is to examine the appointment and confirmation system of ICC Arbitration, to find the distinctive features of the ICC Rules of Arbitration and to check how to apply the features in the Rules of International Arbitration for the Korean Commercial Arbitration Board(KCAB Rules). Although the KCAB Rules have inherent limitations in the appointment of the arbitrators comparing with the ICC Court. They do not have any confirmation system of the arbitrator proposed by the parties. Although no arbitral institutions is in a position to guarantee completely the ultimate quality and efficacy of the process, the ICC, more than any other institution has historically endeavored to do so through a combination of the efforts of its International Court of Arbitration and National Committees. Composed of legal professionals of more than 75 nationalities, the Court, with the support of its permanent Secretariat in Paris, brings to bear on the decisions that it is responsibility to make the collective and disparate knowledge and experience of a multinational body. Therefore, if the KCAB wants to attract many international disputes, it should try to benchmark the ICC Rules of Arbitration, expecially the Article 9, to secure the prominent arbitrators throughout the world, even though a lot of limitations are exist. The positive role of the ICC Court of Arbitration gives us very important signal.

• Archives of design research
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• v.16 no.1
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• pp.149-158
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• 2003

On-line community service should be considered with sociability and usability as well in website development because community in general is composed of various social factors. But, most on-line community services are developed and operated without having correct concepts and strategies concerning social factors. For that reason, community services in most web sites are not that successful. In this paper, twelve social factors are identified for developing community service evaluation system. Those factors are as follows: 1) Purpose, 2) Identity, 3) Reputation, 4) Governance, 5) Communication, 6) Groups, 7) Environment, 8) Boundaries, 9) Trust, 10) Exchange, 11) Expression, 12) History. Eight different types of community services are evaluated to see variations of 12 social factors. As a result, each types of community services has different types of value variations. The evaluation diagrams of each type will be used as a guideline for comparison and this comparative research will tell designers future development direction of their community services.