• Communications for Statistical Applications and Methods
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• v.18 no.1
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• pp.119-130
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• 2011

This paper measures and analyzes the performance of insurance companies in Korea in respect to sustainable development and suggest strategic implications based on the analysis. The correlation, regression, ANOVA, and t-test are employed. The results of this study are summarized as follows. First, it shows tat social index is important in the life insurance industry; however, the environmental index, is important in the non-life insurance industry. Second, the result gained by regressing the size and financial soundness on the performance of sustainable development demonstrates that the size variable is statistically significant. It suggests that size is a necessary condition for sustainable development. Finally, ANOVA shows that the small and medium sized companies have a significantly poor performance compared to the large companies concerning the social index and reputation index in the life insurance industry. The small and medium sized companies in the non-life insurance industry exhibit a significantly poor performance compared to the large companies in respect to all the indexes, except for the social index. Therefore, the small and medium sized companies make every endeavor in the poor indexes to improve performance.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.2
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• pp.75-83
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• 2019

Using geographical indication, a type of source identification, can effectively promote local specialty agricultural products of superior quality, by identifying the specific geographic location or origin of the produce. Agricultural products can be registered using the geographical indication by describing the product's relation to its geographical origin including the reputation and quality. However, this indication has no objective standards to qualify goods as agricultural specialty products. The purpose of this study is to suggest basic criteria to define the characteristics and criteria of agricultural specialties based on a quantitative evaluation method. To propose this basic standard, we used the proportion of arable land to denote the major production areas and the location quotient (LQ) index to grasp the extent of the specialty of a product. The results show that the average LQ values of registered agricultural products, particularly apples, pears, and garlic, are 3.26, 8.01, and 2.82, respectively. This indicates that they are more specialized than produce from other areas that have not registered for a geographical indication. Low LQ values were found in some areas with registered rice geographical indications, which are also more focused on their historical reputation as the main rice producing areas. Considering the agricultural specialty of products, the recommendation is that the producing proportion should be over 1% of the national scale and over 10% of the province scale, and the LQ value should be over 2.0. This recommendation is not a requirement, but the criteria can prove to be useful in identifying a higher range of specialized agricultural products.

• Journal of Environmental Science International
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• v.25 no.4
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• pp.483-490
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• 2016

On the basis of conducting a comprehensive investigation to agricultural sightseeing garden landscape resources, we established a evaluation index system of agricultural sightseeing garden landscape resources. From the perspective of experts, comparing the importance of all levels indicators, we obtained the weights of landscape resources evaluation index through using the Analytic Hierarchy Process. The result showed that the descending order of the weights of influence of agricultural sightseeing garden nineteen evaluation index is: reach ability (0.128), safety (0.083), location (0.078), participatory (0.076), cultural value (0.058), ecological conditions (0.057), scenic beauty (0.0505), environmental quality (0.051), featured properties (0.0501), environmental tolerance (0.048), reputation (0.047), environmental capacity (0.045), humanize (0.041), spots configuration (0.034), applicable travel period (0.033), scientific value (0.032), art value (0.031), holistic (0.03), suitability (0.027), it can provide a framework and basis for the planning, management, protection and exploitation of agricultural sightseeing garden landscape resources.

• 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 Technology Innovation
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• v.24 no.3
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• pp.1-28
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• 2016

This paper suggests objective practical investment index for venture capital investment evaluation, deviating from investment behavior that relies on venture capitalist's intuition and experience. To deduct universally valid practical venture investment index, We conducted a survey of venture capitalist 65 and analyzed the data using AHP method. The results show that when VCs determine whether to invest in a venture or not, market related factors are considered most important. For venture companies who hope to receive investment from VCs, market access, CEO's technical / managerial experience, and recommendation/reputation are considered as crucial factors.

• Journal of Life Science
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• v.14 no.1
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• pp.115-120
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• 2004

Lepista nuda is a world-wide species which has and international reputation as a excellent edible species. In this study, we investigated the genetic variation and taxonomic relationship of L. nuda and other five Tricholomataceae species were analyzed by random amplied polymorphic DNA (RAPD). 15 kinds of random primers were used. The distance matrix was calculated using UPGMA and phyolgenetic relationship were inferred by neighnor-joining (NJ) method. Various bands of 100bp∼1600bp were observed in electrophoretic patterns of RAPD. Nei's genetic distance was calculated using a total of 228 DNA bands identified, and phylogenetic tree was made. The Nei's genetic variations of L. nuda, Lepista surdida, Collybia peronata, Collybia confluens, Lyophyllum cinerascens, Laccara laccata were 0∼21.3%, 21.2∼28.0%, 15.4∼23.0%, 14∼21.8%, 16.5∼34.6%, and 12.4∼27.4%, respectively The consistency index, the retention index and homoplasy index were 0.5217, 0.5769 and 0.5156, respectively. Also, two groups could be made by NJ tree. The genetic distance between L. nuda and C. confluens was closer than that between L. nuda and L. sordida.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.4
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• pp.101-118
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• 2008

This study compares supply chain integration practices of high performing manufacturing plants in Korea and those in the U.S., Japan, and six European countries. Data were drawn from the High Performance Manufacturing(HPM) Round 3, a joint data-collection effort on manufacturing and supply chain management. Specifically, in the automotive, electronics, and machinery industries, we selected twenty Korean plants with high performance reputation and chose the same number of non-Korean plants(HPM top 20), based upon their competitive manufacturing capability index and customer satisfaction index. The Korean plants do not significantly differ from HPM top 20 plants in that internal value creation activities are coordinated and integrated at the corporate level and between plants. The Korean plants, however, demonstrated more integration with suppliers than with customers, and only the two of them were classified as 'outward facing', which pursues greater integration with both customers and suppliers. Unbalanced and lower integration with customers of the Korean plants was attributed to the lower than expected manufacturing capability and customer satisfaction. Implications for supply chain professionals were discussed.

• KDI Journal of Economic Policy
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• v.31 no.1
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• pp.239-276
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• 2009

The paper investigates the possible relationship between earnings prediction by security analysts and special ownership ties that link security companies those analysts belong to and firms under analysis. "Security analysts" are known best for their role as information producers in stock markets where imperfect information is prevalent and transaction costs are high. In such a market, changes in the fundamental value of a company are not spontaneously reflected in the stock price, and the security analysts actively produce and distribute the relevant information crucial for the price mechanism to operate efficiently. Therefore, securing the fairness and accuracy of information they provide is very important for efficiencyof resource allocation as well as protection of investors who are excluded from the special relationship. Evidence of systematic distortion of information by the special tie naturally calls for regulatory intervention, if found. However, one cannot presuppose the existence of distorted information based on the common ownership between the appraiser and the appraisee. Reputation effect is especially cherished by security firms and among analysts as indispensable intangible asset in the industry, and the incentive to maintain good reputation by providing accurate earnings prediction may overweigh the incentive to offer favorable rating or stock recommendation for the firms that are affiliated by common ownership. This study shares the theme of existing literature concerning the effect of conflict of interests on the accuracy of analyst's predictions. This study, however, focuses on the potential conflict of interest situation that may originate from the Korea-specific ownership structure of large conglomerates. Utilizing an extensive database of analysts' reports provided by WiseFn(R) in Korea, we perform empirical analysis of potential relationship between earnings prediction and common ownership. We first analyzed the prediction bias index which tells how optimistic or friendly the analyst's prediction is compared to the realized earnings. It is shown that there exists no statistically significant relationship between the prediction bias and common ownership. This is a rather surprising result since it is observed that the frequency of positive prediction bias is higher with such ownership tie. Next, we analyzed the prediction accuracy index which shows how accurate the analyst's prediction is compared to the realized earnings regardless of its sign. It is also concluded that there is no significant association between the accuracy ofearnings prediction and special relationship. We interpret the results implying that market discipline based on reputation effect is working in Korean stock market in the sense that security companies do not seem to be influenced by an incentive to offer distorted information on affiliated firms. While many of the existing studies confirm the relationship between the ability of the analystand the accuracy of the analyst's prediction, these factors cannot be controlled in the above analysis due to the lack of relevant data. As an indirect way to examine the possibility that such relationship might have distorted the result, we perform an additional but identical analysis based on a sub-sample consisting only of reports by best analysts. The result also confirms the earlier conclusion that the common ownership structure does not affect the accuracy and bias of earnings prediction by the analyst.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.4
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• pp.157-178
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• 2011

In the field of science and technology, influential international journals can easily be found in SCIE. A total number of journals published by societies or institutes in Korea are only 82 of the 8,300 SCIE titles. In this study, in light of the SCI criteria the detailed analysis, of these journals was performed for Korean SCIE journals. The results show that in general domestic journals were not actively cited, had a low level of internationality, and user services through the website was insufficient. Korean SCIE journals should continue to complement these points and elevate its reputation. Candidate journals should concentrate on recruiting more excellent papers, promoting communication with foreign researchers, enhancing domestic and international public relations, and the like. To actively support the domestic publication of excellent journals, long-term and short-term measures should be established and consistently practiced at the national level.

• Journal of the East Asian Society of Dietary Life
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• v.27 no.2
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• pp.104-113
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• 2017

The purpose of this study was to analyze and consumption patterns diet/low-calorie food. Ubjects were 353 adult women aged 20s~50s. Ubjects were divided into three groups according to body mass index (BMI): Normal group (BMI>23.0), overweight group (23.0${\leq}$BMI<25.0), and obesity group (BMI${\geq}$25.0). This study collected all information by self-administrated questionnaires. The SPSS version 21.0 was used for analysis of data. The obesity group lower education level (p<0.001), higher age (p<0.001) and higher income (p<0.001) than normal group. However, score of health status was highest in normal group (p<0.001). Proportion of obesity group pill type diet/low-calorie (p<0.034), drug (diuretic, appetite suppressant and riental medicine) (p<0.001), and cosmetic surgery (p<0.001). The main reason for consumption of diet/low-calorie was control without starving (28.0%). Obese group emphasized manufacturer, ingredient and reputation, whereas the normal group emphasized price and expected effectiveness (p<0.001).