• Journal of Digital Convergence
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• v.12 no.6
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• pp.203-213
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• 2014

The purpose of this research is to deduce the effects factor of R&D output and outcome in the aspect of the researcher's intellectual property capacity, and conduct an empirical analysis to see if there is intermediated effect between cooperation of a patent attorney and output. I applied three step, input (researcher's intellectual property capacity and intellectual property environment), output (number of patent and SCI paper), outcome (number of technology transfer, profit), and analyzed the effects of researcher's intellectual property factors on output and outcome through structural equation model. The results are as follows. First, there's no cooperation between a researcher and patent attorney, the researcher's knowledge on patent specification had direct effect on the output. Second, a researcher and an patent attorney cooperate, the cooperative activities have complete mediation effect on the output, and the researcher's will to commercialize the technology has direct effects on the output. Third, the intellectual property environment of the research organization gives direct effects on the researcher's intellectual property capacity, and gives indirect effects on the outcome. this study suggest that it is important to cooperate with external experts in order to excellent R&D outcome.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.9-17
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• 2017

The opening of public data has been perceived as a critical factor in deciding a country's rise or fall. Since the global economic crisis, countries around the globe have expanded the supply of public data as a new growth engine to create significant economic effects. As a result, there has been a rising demand for a study on the influence of public data in the private sectors. This study attempted to achieve the following objectives. First, the effects of independent variables-system quality, information quality, information security, social influence, innovation and assistance by the public organization- on the intention to use the public data was examined. Second, the effects of the mediating variables - Perceived Ease of Use (PEU) and Perceived Usefulness (PU) - on the independent variables and intention to use (dependent variable) were investigated. Third, after selecting utilization type, frequency of public data usage and frequency of occupational & e-government service usage as moderating variables, their effects on the relationship between the independent variables and dependent variable (intention to use them in the private sector) were studied. It is expected that the study results would be useful in developing strategies aimed to utilize public data in the private sectors.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.585-600
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• 2012

The purpose of this study related to the liquidity impact of the housing market variables using vector auto-regressive model(VAR) and empirical analysis is to derive some policy implications. October 2003 until May 2012 using monthly data for liquidity variables mortgage rates, mortgage, financial liquidity, as the composite index and nation, Seoul, Gangnam, Gangbuk, the Apartment sales prices were analyzed. Granger Causality Test Results, mortgage rates and mortgage at a bargain price two regions had a strong causal relationship. Since the impulse response analysis, Geothermal difference there, but housing price housing price itself, the most significant ongoing positive (+) reactions were liquidity-related variables are mortgage loans is large and persistent positive (+), financial liquidity weakly positive (+), mortgage interest rates are negative (-), KOSPI, the negative (-) reacted. Liquidity and housing prices that the rise can be and Gangnam in Gangbuk is greater than the factor that housing investment was confirmed empirically. Government to consider the current economic situation, while maintaining low interest rates and liquidity of the market rather than the real estate industry must ensure that activities can be embedded and local enforcement policies should be differentiated according to the policy will be able to reap significant effect.

• Journal of Radiation Protection and Research
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• v.44 no.4
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• pp.128-148
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• 2019

Massive environmental monitoring has been conducted continuously since the Fukushima Daiichi Nuclear Power accident in March of 2011 by different monitoring methods that have different features together with migration studies of radiocesium in diverse environments. These results have clarified the characteristics of radiological environments and their temporal change around the Fukushima site. At three months after the accident, multiple radionuclides including radiostrontium and plutonium were detected in many locations; and it was confirmed that radiocesium was most important from the viewpoint of long-term exposure. Radiation levels around the Fukushima site have decreased greatly over time. The decreasing trend was found to change variously according to local conditions. The air dose rates in environments related to human living have decreased faster than expected from radioactive decay by a factor of 2-3 on average; those in pure forest have decreased more closely to physical decay. The main causes of air dose rate reduction were judged to be radioactive decay, movement of radiocesium in vertical and horizontal directions, and decontamination. Land-use categories and human activities have significantly affected the reduction tendency. Difference in the air dose rate reduction trends can be explained qualitatively according to the knowledge obtained in radiocesium migration studies; whereas, the quantitative explanation for individual sites is an important future challenge. The ecological half-lives of air dose rates have been evaluated by several researchers, and a short-term half-life within 1 year was commonly observed in the studies. An empirical model for predicting air dose rate distribution was developed based on statistical analysis of an extensive car-borne survey dataset, which enabled the prediction with confidence intervals. Different types of contamination maps were integrated to better quantify the spatial data. The obtained data were used for extended studies such as for identifying the main reactor that caused the contamination of arbitrary regions and developing standard procedures for environmental measurement and sampling. Annual external exposure doses for residents who intended to return to their homes were estimated as within a few millisieverts. Different forms of environmental data and knowledge have been provided for wide spectrum of people. Diverse aspects of lessons learned from the Fukushima accident, including practical ones, must be passed on to future generations.

• Culinary science and hospitality research
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• v.16 no.5
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• pp.178-192
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• 2010

This research aimed to analyze the effects of brand equity has on satisfaction and brand loyalty of food service consumers in restaurants. For the empirical analysis, we used the self-administered method, using 250 copies of questionnaire in total. 235 copies(94%) was collected and we used the 223 copies(89%) for the analysis. For data processing, we used the statistical package program of SPSS WIN Version 12.0, conducting a frequency analysis, a reliability analysis and a factor analysis, and verifying hypotheses through a regression analysis. As the result of the research, for the hypothesis that "Brand equity(brand recognition, brand image, perceived quality, brand attitude) will have a significant effect on satisfaction," it showed that brand recognition, brand image and perceived quality have a significant effect on satisfaction, and for the hypothesis that "Satisfaction will have a significant effect on brand loyalty," it showed that satisfaction has a significant effect on brand loyalty. For the hypothesis that "Brand equity (brand recognition, brand image, perceived quality, brand attitude) will have a significant effect on brand loyalty," it showed that brand recognition, perceived quality and brand attitude have a significant effect on brand loyalty. To build a competitive brand of the food service industry on the basis of the results of this research, they will concentrate their energy on outlining strategies which can remind customers of their brands by managing their brands systematically and on strengthening their brand equity effectively.

• Culinary science and hospitality research
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• v.23 no.2
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• pp.169-180
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• 2017

The current study aims to demonstrate the causal relationships of quality of work life (QWL), affective organizational commitment, and turnover intention among Y-Generational chefs in South Korea. In order to achieve the study purpose, the data were collected from 207 chefs working in hotel restaurants, independent restaurants, and franchised restaurants. To analyze the data, frequency analysis, exploratory factor analysis, reliability analysis, regression analysis, and PROCESS Macro analysis were undertaken using SPSS 18.0. The results indicated that quality of work life consisted of two factors named as personal quality and social quality. Both factors of quality of work life had significantly positive effect on affective organizational commitment. However, in case of the relation between quality of work life and turnover intention, only personal quality had a significant negative effect on turnover intention while the effect of social quality on turnover intention was not significant. Furthermore, affective organizational commitment negatively affected turnover intention, and affective organizational commitment was determined as significant mediators between quality of work life and turnover intention. Implications of the empirical results and limitations of the study are also discussed.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.249-255
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• 2017

The domestic tourism industry mostly relies on quantitative surveys for customer satisfaction. However, customer participation of the questionnaires is extremely low and the improvement of the dissatisfactory factors is not being performed promptly. In this paper, we propose a new topic map system and prove its empirical effectiveness to improve the accuracy of customer feedback information and the efficiency of the analysis process. The topic map system is a system for analyzing large amounts of customer feedback data in real time. It uses text mining and ontology techniques by integrating data collected over a certain period from real-time SNS and quantitative data obtained from existing survey systems. The effect after improving the analyzed factors of dissatisfaction is also a new and innovative evaluation system for monitoring customer satisfaction in real time. The classification based on this integrated data is a classification system that is specific to the product or the customer. According to this classification, it is possible to measure the effect of the recognition and improvement of the complaint factor in real time on the topic map system. This provides a sophisticated prioritization of the improvement factors and enables customer satisfaction quality control as a PDCA feedback system. In addition, the survey period and costs are greatly shortened, and responses can be more precise to the existing survey method. As a practical application, this system is applied to the largest H travel agency in Korea to prove the accuracy and efficiency of the proposed system.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.241-247
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• 2017

The purpose of this study was to determine the satisfaction and return impact of the Festival visitors visiting the food and art festivals in Suncheon city. which successfully hosted the Suncheon Bay Garden Expo.. In order to carry out this research, hypothesis was set up, and after the questionnaire survey was conducted for the visitors participating in the festival, empirical analysis was conducted through the survey. Also, I would like to present the implications for the tourism development process and the convergence research of the fourth industry for the garden and food tourism of the tourists coming back again in the future due to the festival. The effect of factors on festival satisfaction was found to be influential in order of tourism product, food, guide and public event program. Also products and food facilities. It was confirmed that the guide and publicity part had an influence on the revisit of the festival and also the recommendation of the festival. As a result, the attributes of satisfaction factor of Suncheon Food & Art Festival were confirmed and causality was derived because visitors' satisfaction had positive influence on behavior intention. However, the limitations of the study remain in that it does not reveal the subdivision factors of the satisfaction and perceived satisfaction in measuring the festival satisfaction.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.3
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• pp.348-356
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• 2014

The existing effective path-length model of ITU-R has some drawbacks: The prediction error is quite large compared to domestic measurement data and it is an empirical model in which the physical characteristics of rain cells are not considered. In this paper, a theoretical model for effective path-length using the rain-cell concept was proposed and its validity was verified using the measurement data. To analyze the statistical characteristics of rain cell parameters, the weather-radar data(CAPPI) measured by Korea Meterological Administration were analyzed and the correction factor was properly introduced to fit the Chollian beacon measurement data of ETRI(Electronics and Telecommunications Research Institute). To verify the proposed effective path-length model, it was compared with the Mugunghwa No. 5 beacon data measured in Chungnam National University with the support of ADD(Agency for Defense Development). It was confirmed that the prediction results of the proposed model are in good agreement with the measurement data.

• International Commerce and Information Review
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• v.14 no.1
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• pp.115-137
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• 2012

This study examines the performance impacts of entry mode choice based on the perceptions of managers of a large sample of South Korean foreign MNEs in Mongolia. The purpose of this study is to build on existing research by examining the extent to which the South Korean companies investment in Mongolia. It is necessary to establish and execute optimal entry strategy according to environmental features in order to survive as a competitive international enterprise in the extensive Mongolia markets. This study finally seek a plan to enhance the performance of the cross-cultural companies. The results of this study are as stated as follows. the relationships between the environmental factors and entry strategies are, statistically, significantly positive. The relationships between the entry strategies and performance in Korean companies are, statistically, significantly positive. the relationships between companies' environmental factors and performance, the environmental features of cross-cultural companies are positive. We find that Korean affiliate performance is a multidimensional and complex phenomenon, which may be properly explained by multiple factors, including the industrial, environmental, and cultural factor, that go beyond initial entry mode choices in Mongolia market. These results make theoretically optimal entry mode decisions and whether or not this entry mode choice is related to enhanced performance of Korean companies to Mongolia market.