• The Journal of Fisheries Business Administration
• /
• v.48 no.4
• /
• pp.27-43
• /
• 2017

The major purpose of this study is to find and analyze the characteristics of Fisheries Business Administration Research based on using social network analysis. This study examines every paper of The Journal of Fisheries Business Administration from 2007 to 2016. This study analyzes fisheries business administration research through bibliometric data including research trends, researcher characteristics, and key words. The 229 source articles are all papers published from 2007 to 2016 in The Journal of Fisheries Business Administration in Korea. Comparing with previous research, the major research areas of Korean fisheries business administration have a little changed and the topics of recent research are much diversified. Through basically based on frequency analysis and SNA(Social Network Analysis) method, most of the bibliographical characteristics were founded. And based on the result of this study showed that 1) increasement on number of researcher and organization 2) climate change and economic related topics are most popular terms 3) DEA is most adopted methodology in recent papers 4) joint research among the organizations has somewhat been increased 5) human resource management, history of fisheries management and education still have been conducted in terms of sustainability.

• Journal of Fisheries and Marine Sciences Education
• /
• v.28 no.6
• /
• pp.1751-1760
• /
• 2016

The Fisheries business administration is not only the social sciences in the education of fisheries and marine related fields but also has been lectured and educated in both high school and college level. But there are few studies that have been conducted a comparative analysis on the contents in fisheries business administration education in the continuity and sustainability. The objectives of this study are analysis of contents construction in fisheries business administration and suggestion of systematic structure with comparing the textbook of fisheries business administration in high school and college(Gyeongsang National University and Pukyong National University). The results of study show that some structural contents similarity has been found among the fisheries business administration textbooks though some of the contents are insufficient. And there are lack of recency both data and descriptions in fisheries business administration textbooks and much of time gaps based on publication year. Based on the result of this study, the integrated framework that consist with 5 main contents categories has been suggested for education of sustainable development in fisheries business administration. But still needed to be discussed the range and level of fisheries business administration issues by stakesholders including academic community, researcher and industrial personnel.

• Journal of the Korean Data and Information Science Society
• /
• v.12 no.1
• /
• pp.79-87
• /
• 2001

This paper tries to comprehensively investigate the problems of using methods especially statistical methods, which are currently emphasizing and controversial issues in the study of public administration, focusing on papers in Korean Public Administration Review for five years(1994 through 1998). Based upon the investigation, the purpose of the paper is to identify problems and recommend remedies in the education of statistical methods for the field of public administration.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.12
• /
• pp.211-222
• /
• 2021

Green economy, also known as sustainable economy, is a current development trend in which consumers prefer products that are wholly or partly derived from materials of biological origin since they have become more concerned about their health and the environment in which they live. This study aims to examine consumer behavior toward bio-based products with three key goals in mind. First, it helps to understand the perception of consumers toward Bio-based products. Second, it properly helps consumers be aware of products derived from materials of biological origin so that the consumer can make purchasing decisions to protect their health and contribute to the protection of the environment. Third, the study on consumer behavior towards bio-based products will provide a more accurate view and assessment to companies looking to develop Bio-based products. Based on that, the research is carried out through surveying, collecting data from consumers, and then using the deductive approach, descriptive statistics, and quantitative method analysis. The results demonstrated that a positive relationship and a direct impact are established between the variables of Attitude and Social Norms and the Purchase Intention toward Bio-based products. Furthermore, the findings reveal that customers have positive feelings towards bio-based products in terms of trust, knowledge, and the environment.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.1371-1373
• /
• 2003

The importance of Fundamental Geographical Information Framework for Digital City (FGFDC) is analysed, it provides all city agencies and units with uniform geographic references. Six kind of data are chosen as the core data sets of a FGDC, a web-based distributed mechanism is constructed to promote data sharing among different agencies. Elementary functional requirements of FGDC are analyzed, so that it can serve as a common distributed urban GIS. A practical FGFDC is developed for Yangzhou Development Administrative Region, and an 3D visualization system is developed within this framework.

• Journal of Distribution Science
• /
• v.20 no.4
• /
• pp.65-75
• /
• 2022

Purpose: Environmental pollution problems have become more and more serious, how to effectively protect the environment has become a hot spot of concern to all sectors of society. The way to solve this problem is environmentally friendly management. However, theoretical perspectives and research frameworks of existing research on environmentally friendly management are still unclear. This study aims to examine how the CEO's beliefs for SMEs of Chinese distribution industry affect the environmentally friendly management based on institutional theory. Research design, data, and methodology: This paper collected data from 215 SMEs in China distribution industry and conducted a series of data analysis and hypothesis testing based on an institutional theory perspective using Amos and SPSS to verify the effects of regulatory pressure, normative pressure, and imitation pressure on firms' environmentally friendly management. Results: Through the analysis, this paper tests that normative pressure and imitative pressure have a positive effect on CEO's beliefs. However, regulatory pressure did not have a significant effect on beliefs of CEO. Meanwhile, the degree of CEO's beliefs has a positive effect on environmentally friendly management in Chinese distribution SMEs. Conclusions: Theoretical contributions, practical implications, and future research directions are discussed.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.315-322
• /
• 2020

This study investigates the application of management information systems to the quality of local government financial reports, especially the principle of transparency and the law of accountability, which have been measures of financial statement performance evaluation. The study was conducted in Enrekang Regency, Indonesia, which, based on the results of the examination, the Supreme Audit Board reported the status of Disclaimer, Fair with Exceptions, and Fair without Exceptions for three years each. This study used a sample of 35 respondents, finance department employees who worked on local government financial reports. Descriptive quantitative data were collected using a questionnaire instrument, then with the assistance of the Program Solution and Product Statistics (SPSS) Program, data were processed to test hypotheses. The results showed that the use of management information systems based on information and communication technology (ICT) had a significant influence on the quality of local government financial reports. The findings of this study indicate that the application of ICT-based management information systems affects the accountability and transparency of local government financial reports. This finding is reinforced by the use of the principles of government agility in the form of government apparatuses that apply responsive dexterity, flexibility agility, and competency agility.

• The Plant Pathology Journal
• /
• v.36 no.1
• /
• pp.54-66
• /
• 2020

This study was conducted to evaluate usefulness of numerical weather prediction data generated by the Unified Model (UM) for plant disease forecast. Using the UM06- and UM18-predicted weather data, which were released at 0600 and 1800 Universal Time Coordinated (UTC), respectively, by the Korea Meteorological Administration (KMA), disease forecast on bacterial grain rot (BGR) of rice was examined as compared with the model output based on the automated weather stations (AWS)-observed weather data. We analyzed performance of BGRcast based on the UM-predicted and the AWS-observed daily minimum temperature and average relative humidity in 2014 and 2015 from 29 locations representing major rice growing areas in Korea using regression analysis and two-way contingency table analysis. Temporal changes in weather conduciveness at two locations in 2014 were also analyzed with regard to daily weather conduciveness (C_i) and the 20-day and 7-day moving averages of C_i for the inoculum build-up phase (C_inc) prior to the panicle emergence of rice plants and the infection phase (C_inf) during the heading stage of rice plants, respectively. Based on C_inc and C_inf, we were able to obtain the same disease warnings at all locations regardless of the sources of weather data. In conclusion, the numerical weather prediction data from KMA could be reliable to apply as input data for plant disease forecast models. Weather prediction data would facilitate applications of weather-driven disease models for better disease management. Crop growers would have better options for disease control including both protective and curative measures when weather prediction data are used for disease warning.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.5
• /
• pp.87-98
• /
• 2022

Purpose: The is study aimed to examine the impact of consumer ethnocentrism on reasoned action and brand equity on Generation Z in Vietnam. Research design, data and methodology: A quantitative study was undertaken on 302 Generation Z members. The data for the study was collected using a Google Form-based questionnaire from December 2021 to January 2022. Descriptive statistics, Cronbach's alpha, and structural equation modeling were among the data analysis techniques employed. The results: The results show that consumer ethnocentrism has a direct positive impact on reasoned action (subjective norms and attitude toward domestic goods) as well as an indirect positive impact on brand equity, including brand awareness, brand quality, and brand image. Major findings: According to the findings of this study, governments should continue to push propaganda and advocacy programs, call for national pride and encourage home consumers to support and use domestic goods. Domestic brands must strengthen their ties to the community and invest in community-oriented programs that promote domestic consumption. Vietnam's domestic fashion brands need to promote the exploitation of community-oriented and nationalistic content to call on domestic consumers to support them to consume domestic brands.

• Journal of Korean Society for Quality Management
• /
• v.47 no.2
• /
• pp.271-281
• /
• 2019

Purpose: The purpose of this study is to suggest a more efficient distance measure taking into account the relationship between categorical variables for categorical data cluster analysis. Methods: In this study, the association-based dissimilarity was employed to calculate the distance between two categorical data observations and the distance obtained from the association-based dissimilarity was applied to the PAM cluster algorithms to verify its effectiveness. The strength of association between two different categorical variables can be calculated using a mixture of dissimilarities between the conditional probability distributions of other categorical variables, given these two categorical values. In particular, this method is suitable for datasets whose categorical variables are highly correlated. Results: The simulation results using several real life data showed that the proposed distance which considered relationships among the categorical variables generally yielded better clustering performance than the Hamming distance. In addition, as the number of correlated variables was increasing, the difference in the performance of the two clustering methods based on different distance measures became statistically more significant. Conclusion: This study revealed that the adoption of the relationship between categorical variables using our proposed method positively affected the results of cluster analysis.