• The Journal of Fisheries Business Administration
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• v.44 no.3
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• pp.85-101
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• 2013

The foundation of any association or organization should include a mission, a vision, and strategic goals. Vision and mission are frequently discussed in academic and practitioner literature and accepted as key items in strategic decisions. But in these days, the words"change and crisis"are what companies are familiar with. They bringing about uncertainty led the companies to search for new strategies in order to specify their directions. In case of making proper direction for some organization, the role of management philosophy is most important. And also identifying, clarifying and communicating the management philosophy is now a major part of the planning process. This study examines the characteristics of management philosophy items which including mission and vision in Korean fisheries business with contents analysis. in order to achieve these purpose, this research analysing the mission, vision and CEO's greeting with the social network analysis(SNA) which is the most dominant technique in contents analysis. The SNA is evaluated that most popular, rigorous and firm methodology for analyzing, examining and revising some concepts or objects in the context of semantics. The findings of social network analysis show that some critical problems are existed. First, most of the fisheries company did not fully announce the mission and vision irrespective of one's size or scale. Second, there is some coverage insufficiency of stakeholders in mission and vision. And cutting edge topics like environmental problem, corporate social responsibility, consumer sovereignty are not included in management philosophy.

• Korea Journal of Hospital Management
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• v.3 no.1
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• pp.165-191
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• 1998

The objectives of this research are 1) to identify different motivation of choice for each National University hospitals 2) to examine the factors influencing the patients' satisfaction, 3) and to investigate that the patients' satisfaction effects the hospital re-choice and recommendation on seven National University's hospitals. The data for this analysis were collected by questionnaire survey. Totally 852 interviews were conducted. The major statistical methods used for the analysis are paired t-test, factor analysis, x2-test, and multiple regression. We find that satisfaction level is a function of not only the quality of medical service but also non-medical service. The main results of research are follows: 1) The most important factor of hospital choices is 'the trust and fame as National University hospitals'; 2) Overall satisfaction of inpatients is turned to be influenced by the doctor's services, nurse's services, environment, and convenience. And overall satisfaction of outpatients is also found to be influenced by the waiting time for lab test; 3) Highly satisfied patients preferred to revisit and to recommend to others.

• The Journal of Fisheries Business Administration
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• v.13 no.1
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• pp.63-84
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• 1982

This study is an analysis of the growing trend from 1971 to 1980 on the four major fisheries in Korea; large powered purse seine, anchovy drag net, two boats large trawl and one boat large trawl. The main purpose of this study is to find some solutions against the problems which these fisheries are faced with, through the analysis of the growing trend of income, capital structure and main ratios of finance. According to the result of the analysis, the problems are as following: \circled1 Revenues per vessel was decreased when catches per vessel was decreased in 1979, 1980. therefore the increase ratio of the revenues per vessel was weakened from 1979. \circled2 Catches per vessel was decreased from 1979 in spite of the increase of gross cathes in its field. \circled3 Production costs in fishing, such as the cost of wages, fuels and repairs, was steadily up year by year. \circled4 Profitability was deteriorated from 1978. \circled5 productivity was lower from 1978. \circled6 Stability was lower from 1978. The solutions out of the above problems are as follows; \circled1 Fisheries resources must be fostered. \circled2 The numbers of vessels should be reduced according to the fisheries resources. \circled3 The precise amount of resources should be dynamically estimated. \circled4 The fishermen must be educated to reduce fishing cost such as the cost of fuels and repairs, etc. \circled5 The old vessels should be replaced. \circled6 The production efficiency should be promoted. \circled7 The rate of interest should be cut down to reduce financial cost.

• The Journal of Fisheries Business Administration
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• v.41 no.3
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• pp.1-20
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• 2010

The purpose of this study is to identify specific patterns of Sasimi consumption in Korea using cluster analysis. The data applied in the analysis were collected from five major cities in Korea through telephone interview with trained surveyors. This study investigated three major topics; 1. Korean people prefer to eat Sasimi at the restaurants rather than at-home. 2. The quality of Sasimi is different according to where the eating place is located such as seaside or inland. 3. Determinants of Sasimi Consumption are different according to population characteristics, sex or occupation. The main findings of the study can be summarized as following three points. Firstly, Koreans preferred to eat Sasimi out 83.3% of respondents chose eat-out rather than eat-at-home. These are especially popular with men, 40' years older, self-employed, lived in capital area. Secondly, satisfaction level of Sasimi consumption was good in Choong-Cheung province. Since Chung-Cheong Province was located in the inland, the chance to eat Sasimi is lower than seaside. Thirdly, consuming decision factor of Sashimi was different across groups. None of decision factors take effect on Group 1 while indigenous variable of Sashimi has effect on Group 2 and external variable has effect on Group 3. Therefore, in order to increase Sashimi consumption, it is necessary to at-home consumption of Sashimi should be improved. Moreover, it is necessary to develop marketing strategy which fits in regional characteristics and to have government assistance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.90-100
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• 2015

This study is conducted to suggest ways to mitigate the mismatch phenomenon between job seekers who want to find right company for themselves and companies looking for appropriate new employees. For this purpose, this study improves the company assessment framework reflecting job seekers interests by using fuzzy analytic hierarchy process. The improved evaluation framework is a three-level hierarchical structure, where there are 4 groups at the top level, 12 factors at the intermediate level and 36 indexes at the bottom level. For the empirical analysis of the applicants preferences based on the improved model, a survey for F-AHP analysis is carried out to university students and then priorities of components in the evaluation model are calculated. Moreover, the differences of priority of the company assessment framework are analyzed for different genders, college years, and major divisions. The results show that job seekers' most concerning factors are wages, stability, working environments, and labor deal, which are ranked highly in this order and the differences in preferences for each type of job seekers (genders, college years, and major divisions) are obvious. The results also show that the male prefers wages to environment, on the other hand female does working environment to wages.

• The Journal of Fisheries Business Administration
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• v.51 no.4
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• pp.1-18
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• 2020

The paper aims to explore existence and degree of remaining fisheries damages after the completion of undertaking the Four Major Rivers Project focusing on the case of Yeongsan river. The paper seeks to show the necessity of consideration of periods of fishery resources recovery in the estimation of ex-post fisheries damages of the project by inferring the analysis of the annual variation of environmental indicators in the river. Therefore, the paper suggests three years of remaining periods of fisheries damages of the project utilizing the variation trend of ex-ante and ex-post annual output data of inland fisheries in Jeonnam province and individual catch of fisheries. In the measurement of the annual degree of fisheries damages during periods of fishery resources recovery, the paper attempts to suggest the method of comparision of day catch data per vessel between ex-ante and ex-post periods of the project, which were investigated by the same institute. Here the paper tries to make correction of ex-post catch data for holding the same catching condition as ex-ante situation by adopting the concept of competitive intensity of catching which was derived from the decreasing rate of number of fishing households in the area of Yeongsan river.

• The Journal of Fisheries Business Administration
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• v.50 no.1
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• pp.17-37
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• 2019

The purpose of this study is to estimate the resource recovery effect and the economic effect of the fishermen by the fisheries vessel buy-back program. First, this study standardizes the fishing efforts of coastal gill net, coastal trap, and coastal composite fisheries using Gavaris general linear model. Second, the resource evaluation is performed by using vessel buy-back program data, and also the CYP model based on exponential growth function is applied. In order to derive the effect of the vessel buy-back program, the MSY with the vessel buy-back program is compared with the MSY without the vessel buy-back program. Finally, we compare and analyze producer surplus under the equilibrium of the MEY and the OA using bioeconomic model. In conclusion, the vessel buy-back program has shown an increase in resource growth and economic improvement for the remaining fishermen. The result shows that the remaining fishermen are able to obtain an increase in producer surplus of about 53% due to the vessel buy-back program under equilibrium levels of the open access and the maximum economic yield.

• The Korean Journal of Food & Health Convergence
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• v.8 no.3
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• pp.1-9
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• 2022

Purpose-Meat plays an important role in the Chinese daily diet, however, due to the spread of COVID-19, food supply and safety have become a major concern. The safety and health features of chilled fresh meat have attracted the attention of consumers. To study consumers' purchasing behavior and willingness to pay for chilled meat under the influence of the epidemic. Research methodology- The data were obtained by questionnaire survey, major issues include consumers' meat consumption habits in the wake of the COVID-19 and their awareness of meat product quality labels. In addition, the gender, age, family income, and other basic personal information of the interviewees were also counted. Based on the binary Logit regression method, we study consumers' purchasing behavior and willingness to pay for chilled meat under different demographic characteristics. Results-The results showed that brand and quality certification are important factors influencing purchases. In addition, the presence of children under the age of 12 in the household and the level of income and education also influence consumers' purchase intention of the chilled fresh meat. However, mart promotions and city ratings can significantly lower consumers' propensity to buy the chilled fresh meat. Apart from this, such factors as gender, age, and living conditions have no significant influence on consumers' purchase of chilled fresh meat.

• Korea Journal of Hospital Management
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• v.6 no.3
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• pp.25-45
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• 2001

The purpose of this study was to evaluate the environments of patient care, education, and research as indicators of university hospital performance. The objective data for this study were collected by secondary data. The subjective data were collected by a total of 523 questionnaire survey interviews conducted in C university hospital, of which 123 were students, interns, or residents, 76 were professors, and the remaining 324 were patients. The major statistical methods used for the analysis were t-test and ANOVA. We found that the environment of patient care is better than the environment of education and research in C university hospital. While the concern for patient care of C university hospital was about 60%, the equivalent figures for education and research were both 20%. And the patients' satisfaction level was higher than the others. The environment of education and research was found to be deficient in some aspects, especially in such areas as facilities, equipment, and investment. In particular for professors the time for research was very limited because of the demands of patient care. These findings clearly demonstrate that university hospitals need to pay greater attention to the areas of education and research, as well as to patient care. This article concludes with a discussion and summary and presents issues in need of further study.

• Asia-Pacific Journal of Business
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• v.12 no.4
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• pp.13-40
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• 2021

Purpose - The purpose of this study is to predict corporate corruption in emerging markets such as Brazil, Russia, India, and China (BRIC) using different machine learning techniques. Since corruption is a significant problem that can affect corporate performance, particularly in emerging markets, it is important to correctly identify whether a company engages in corrupt practices. Design/methodology/approach - In order to address the research question, we employ predictive analytic techniques (machine learning methods). Using the World Bank Enterprise Survey Data, this study evaluates various predictive models generated by seven supervised learning algorithms: k-Nearest Neighbour (k-NN), Naïve Bayes (NB), Decision Tree (DT), Decision Rules (DR), Logistic Regression (LR), Support Vector Machines (SVM), and Artificial Neural Network (ANN). Findings - We find that DT, DR, SVM and ANN create highly accurate models (over 90% of accuracy). Among various factors, firm age is the most significant, while several other determinants such as source of working capital, top manager experience, and the number of permanent full-time employees also contribute to company corruption. Research implications or Originality - This research successfully demonstrates how machine learning can be applied to predict corporate corruption and also identifies the major causes of corporate corruption.