• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.2
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• pp.141-152
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• 2015

Our agriculture and rural villages have faced negative conditions in many reasons. To overcome this situation, a new change is needed by the 6th industrialization. Many agriculture and rural villages in Korea are pursuing the 6th industrialization through the convergence of the primary, secondary, and tertiary industries to vitalize agriculture and rural villages. But there are several problems with the 6th industrialization. There is a limit to the capacity building of the members of the rural organization and Korean agricultural base primary, secondary, and tertiary industries are weak all. In addition, it has been insufficient research for value chain management of the region as a whole; there has been no study of information sharing across the region for the 6th industrialization. This study is about value chain management model for successful the 6th industry with Quick Response System and the big data technology. In this study to provide the efficiency of 6th industry value chain management with customer's needs analysis using big data and research for the information share between the industries in the region through the information pipeline theory of the QR System. We hope that our study is helped to proceed successfully on the 6th industrialization in Korea.

• Asian Journal of Business Environment
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• v.6 no.3
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• pp.21-31
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• 2016

Purpose - The purpose of this research is to determine the impact of word of mouth on customer perceived value for restaurants in Malaysia. The objectives of this research include determining how word of mouth (WoM) factors - frequency of word of mouth messages, reputation of word of mouth messenger, richness of word of mouth message, dispersion of word of mouth conversations and manner of word of mouth delivery impact customer perceived value in Malaysian restaurant industry. Research Design, Data, and Methodology - The research follows causal / explanatory research method based on quantitative data. A sample of 150 restaurant customers in Kuala Lumpur, Malaysia was selected using convenience sampling technique. Likert scale questionnaire is used to collect data and data is analysed using regression analysis through SPSS 22. Results - The statistical analysis revealed that independent variable 'manner of delivery' significantly and positively impacts customer perceived value for restaurants in Malaysia. Conclusions - To build strong positive customer perception, Malaysian restaurants can enhance word of mouth campaigns' 'manner of delivery' by making them passionate, exciting and with high emotional appeal.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.283-288
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• 2015

A disposable password is necessary to avoid any danger by the use of a static password and reinforce the user's authentication. In order to prevent personal information from being exposed, OTP generation algorithm is regarded as important. The OTP generation algorithm we suggest in this thesis generates 256-bit-size OTP Data by using Seed value and Time value. This value that the generated OTP Data are arranged with a matrix and a 32-bit-value is extracted on an irregular basis becomes the final value. We can find out that the more OTP generation frequency we have, the lower probability of clash tolerance we get in our suggested algorithm, compared to the previous algorithm.

• KIEAE Journal
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• v.11 no.6
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• pp.101-108
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• 2011

The weather data has important role for performative building design. If the data location is close to building site, the result of performative design can be accurate. The data which have used nowadays in Korea are from U.S. Department of Energy (DOE) and Korea Solar Energy Society (KSES) but they cover only several locations in Korea which are 4 in DOE and 11 in KSES and there are opinions which it could be served building design efficiently even if the data are not enough. However the weather data for micro-climate are exist which are Green Building Studio Virtual Weather Station (GBS VWS) and Meteonorm weather data. Each weather data has different generation methods which are TMY2, TRY, MM5, and extrapolation. In this research, the weather date for climate are compared with DOE and KSES to check correlation. The result shows the value of correlation in Dry Bulb Temp. and Dew Point Temp. is around 0.9 so they have high correlation in both but in Wind Speed case the correlation(around 0.2) is not exist. In overall result, the data has correlation with DOE and KSES as the value of correlation 0.648 of GBS VW and 0.656 of Meteonorm. Even if the correlation value is not high enough, the patterns of difference in each weather element are similar in scatter plot.

• Korean Journal of Organic Agriculture
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• v.29 no.3
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• pp.317-332
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• 2021

This study estimated the predictive onion yield through Stepwise regression of big data and weather variables by onion growing season. The economic feasibility of onion observations using big data was analyzed using estimated predictive data. The social welfare effect was estimated through the model of Harberger's triangle using onion yield prediction with big data and it without big data. Predicted yield using big data showed a deviation of -9.0% to 4.2%. As a result of estimating the social welfare effect, the average annual value was 23.3 billion won. The average annual value of social welfare effects if big data was not used was measured at 22.4 billion won. Therefore, it was estimated that the difference between the social welfare effect when the prediction using big data was used and when it was not was about 950 million won. When these results are applied to items other than onion items, the effect will be greater. It is judged that it can be used as basic data to prove the justification of the agricultural observation project. However, since the simple Harberger's triangle theory has the limitation of oversimplifying reality, it is necessary to evaluate the economic value through various methods such as measuring the effect of agricultural observation under a more realistic rational expectation hypothesis in future studies.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.759-769
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• 2008

The purpose of this study was to classify consumption value and analyze the relationship between consumption value typology and fashion product purchasing behavior of college students as consumers. Data were gathered by surveying college students living in Daegu and Kyungbook area using convenient sampling, and 513 questionnaires were used in the statistical analysis. Data were analyzed by frequency, factor analysis, cluster analysis, ANOVA, Duncan-test, Chi-square, and t-test. The findings are as follows. According to the consumption value typologies of college students were classified into three groups such as Social Value oriented, Functional Value oriented, and Differentiated Individuality oriented group. The Social Value oriented group and the Differentiated Individuality oriented group were more conscious of clothing pursuit propensities behavior such as brand, shopping place, and price than Functional Value oriented group. The Functional Value oriented group showed the lowest interest in brand name. Purchasing behavior of casual wear and bags fashion product had the significant effects on the shopping place, and price.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.245-267
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• 2008

This study is to develope a user-based economic valuation methodology and model for the economic analysis on the DDS of foreign journals. For this study, the sampling data on the annual subscribed journals by K institution was used and the online questionnaire was used to collect data. There are three aspects of the economic value of DDS journals was classified as use value, non-use value, and expectancy value. We suggested the income and market approach to measure its economic use value. To estimate the its value by individual users, this study applied a contingent valuation method and designed the imaginary scenarios.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.813-821
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• 2021

The relationship between capital structure policy and firm value is interesting to study because the concept of capital structure was initiated by Modigliani and Miller who claimed that the company's capital structure is not a factor in its value. They asserted that linking leverage with firm value was irrelevant. Therefore, this study examined the role of growth opportunities as a moderating variable for the relationship between capital structure and firm value. The population of this study is 300 companies from the manufacturing sector that are listed on the Indonesia Stock Exchange (IDX) for the period 2015-2018. To analyze the data, the subgroup moderation method was employed by dividing the data into two parts: companies with high growth opportunities and companies with low growth opportunities. The results revealed that capital structure had a direct positive effect on firm value. Furthermore, the test results of the two regression models of growth opportunities as the moderating variable are very interesting. It was found that for companies with high growth opportunities, the use of debt had a negative effect on firm value, and conversely, the use of debt had a positive effect on firm value for companies with low growth opportunities. The statistical F-test results proved that growth opportunities are a moderating variable for the relationship between capital structure and firm value.

• Journal of Distribution Science
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• v.21 no.4
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• pp.113-119
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• 2023

Purpose: This study aims to investigate the effect of retailer's ESG performance on consumption value. The research analyzed the effect of consumption value that can be obtained through ESG management of retail companies on consumer attitude and repurchase intention. Research design, data, and methodology: A research model and hypothesis were established, and statistical analysis was performed on a total of 278 samples of all age groups. To secure the reliability and validity of the data, confirmatory factor analysis and discriminant validity analysis were performed, and the causal relationship of latent variables was verified through path analysis. Results: As a result of the analysis, it was found that among the characteristics of consumption value according to ESG management, social value, economic value, accessible value, and eco-friendly value had an effect on social contribution attitude. Also, the economic value was found to have an effect on the self-actualization attitude, and both the social contribution attitude and the self-actualization attitude have an effect on the purchase intention. Conclusions: This study empirically analyzed the value of ESG management in the retail industry that consumers are paying attention to recently. This will serve as a basis for revising and supplementing the retail companies' strategy in the near future.

• Journal of the Korean Society of Food Culture
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• v.24 no.4
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• pp.376-384
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• 2009

The purpose of the present study was to examine the relationship between personal value and the motivation for drinking of Korean undergraduate student alcohol drinkers. Data were obtained from undergraduate students experienced in alcohol consumption in Seoul, Kyeonggi-do, and Kyeongsangnam-do. Trained researchers for this particular study conducted the survey and data from 208 students was analyzed using the SPSS package program. In this study, two personal values were examined: 'internal value' and 'external value', and four motives for drinking alcohol were identified: social motive, coping motive, enhancement motive, and conformity motive. The results of the present study showed that personal value had significant effects on the motives for drinking of Korean undergraduate student alcohol drinkers: 1) The internal value was significant on the coping motive and enhancement motive. 2) The external value was significant on the social motive. 3) Neither value was significant on the conformity motive. Based on the findings of the present study, personal value would be a useful variable in the field of alcoholic beverage marketing such as alcohol consumption, consumer behaviors and segmentation of the alcoholic beverage market.