• Journal of Fisheries and Marine Sciences Education
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• v.29 no.1
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• pp.90-100
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• 2017

This study seeks to identify factors influencing the gender equality consciousness of university students and provide data to increase gender equality consciousness for university students based on the results. The subjects of university students in D and G city at the time, data collection was from April 1, 2016 to April 14, 189 questionnaires were used in the final analysis. The collected data using SPSS/WIN 20.0 program percentages, means and standard deviations, t-test, ANOVA, post verification was analyzed by scheffe's test, correlation between variables affect the Pearson's correlation coefficient, gender equality consciousness used a multiple regression analysis. In results of the study, gender equality consciousness appeared as $3.23{\pm}0.48$ points. Gender equality consciousness were a negative correlation with gender role stereotypes(r=-.711, p<.001) and a positive correlation with self-esteem correlation(r=.186, p=.011) and showed a negative correlation with control (r=-383, p<.001). Factors affecting gender equality in research subjects appeared to be gender role stereotypes and control, explanatory power was found to be 50.1%. Through this research requires the fellow study to determine the various factors affecting the gender equality consciousness of university students, it is necessary to improve the gender equality consciousness.

• International Journal of Automotive Technology
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• v.4 no.2
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• pp.101-108
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• 2003

There are a lot of factors that influence automotive fuel economy such as average trip time per kilometer, average trip speed, the number of times of vehicle stationary, and so forth. These factors depend on road conditions and traffic environment. In this study, various driving data were measured and recorded during road tests in Seoul. The accumulated road test mileage is around 1,300 kilometers. The objective of the study is to identify the driving patterns of the Seoul metropolitan area and to analyze the fuel economy based on these driving patterns. The driving data which was acquired through road tests was analysed statistically in order to obtain the driving characteristics via modal analysis, speed analysis, and speed-acceleration analysis. Moreover, the driving data was analyzed by multivariate statistical techniques including correlation analysis, principal component analysis, and multiple linear regression analysis in order to obtain the relationships between influencing factors on fuel economy. The analyzed results show that the average speed is around 29.2 km/h, and the average fuel economy is 10.23 km/L. The vehicle speed of the Seoul metropolitan area is slower, and the stop-and-go operation is more frequent than FTP-75 test mode which is used for emission and fuel economy tests. The average trip time per kilometer is one of the most important factors in fuel consumption, and the increase of the average speed is desirable for reducing emissions and fuel consumption.

• Child Health Nursing Research
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• v.10 no.3
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• pp.291-299
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• 2004

Purpose: To investigate factors influencing sexual harassment and the frequency of incidents among university students. Method: During 1-20 July 2004, 339 students from five universities in Busan, Korea, responded to a written questionnaire. The SPSS Program calculated descriptive statistics, chi square test, and logistic regression analysis of the data. Result: Of the total respondents, 69.3％ (62.6％ of the males and 77.2％ of the females), reported that they were victims of sexual harassment. Conversely, 72.5％ (males 84.3％; females 58.4％), indicated that they were sexual harassment offenders. Characteristics of the reported victims were significantly different in terms of class year, proportion of males to females in their academic department, and group norms regarding sexually harassing behavior. Characteristics of the admitted offenders were significantly different in term of proportion of males to females within their academic department, group norms, and awareness of sexual harassment. Factors predicting sexual harassment included gender, proportion of males to females in an academic department, the group norms regarding sexually harassing behavior, and the offenders experiences. Conclusion: This study suggested that occurrence of sexual harassment among university students were related to various factors. Prevention programs should be developed that focus on these factors.

• The Journal of Fisheries Business Administration
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• v.51 no.1
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• pp.81-96
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• 2020

The purpose of this paper is to analyze factors affecting the net income of regional and industrial fisheries cooperatives in South Korea using panel data. This paper utilizes linear or GLS regression models such as pooled OLS model, fixed effects model, and random effects model to estimate affecting factors of the net income of regional and industrial fisheries cooperatives. After reviewing various tests, we eventually select random effects model. The results, based on panel data between 2013 and 2018 year and 64 fisheries cooperatives, indicate that capital and area dummy variables have positive effects and employment has negative effect on the net income of regional and industrial fisheries cooperatives as predicted. However, debt are opposite with our predictions. Specifically, it turns out that debt has positive effect on the net income of regional and industrial fisheries cooperatives although it has been increased. Additionally, this paper shows that the member of confreres does not show any significant effect on the net income of regional and industrial fisheries cooperatives in South Korea. This study is significant in that it analyzes the major factors influencing changes in the net income that have not been conducted recently for the fisheries cooperatives by region and industry.

• Asian Journal of Business Environment
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• v.5 no.4
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• pp.37-46
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• 2015

Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.17 no.4
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• pp.408-417
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• 1988

This study optimized the condenser dimension of heat pump system with the heat sources which are solar irradiation and ambient air. At first, the author selected the principal design factors influencing the performance of heat pump system. And the author considered the variation of condenser dimension according to the variation of the selected design factors, that is, ambient air temperature, condenser temperature, degree of superheating, degree of sub-cooling and irradiation. As a result this study, among refrigerants R12, R22 and R500, refrigerant R22 has more heating output than R12 and R500, and the coefficient of performance on this heat pump system is not greatly influenced by the degree of superheating and degree of sub cooling. The ambient air temperature is below $5^{\circ}C$ at balance point and the optimal tube length of condenser dimension is about 3.8 m. Also the author gained the optimal design diagram for the optimization of condenser dimension according to various design factors.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.1
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• pp.107-113
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• 2023

For one-shot systems such as 81mm high-explosive ammunition, research on performance prediction is insignificant due to research manpower infrastructure and lack of interest and difficulties in securing field data, which can only be done by special task workers. In order to evaluate the actual range of ammunition, the storage ammunition reliability evaluation checks the range by firing actual ammunition through a functional test. Test evaluation is a method of extracting a sample from the population, launching it, and recording the results accordingly. As a result of these tests, the range, which is an indicator of ammunition performance, can be measured differently according to meteorological factors such as temperature, atmospheric pressure, and humidity according to the location of the test site. In this study, various environmental factors generated at the test site and storage period analyze the correlation with the range, which is the performance of ammunition, and analyze the priority of importance for each factor and the numerical standards that environmental factors affect range. Through this, a new approach to one-shot system performance prediction was presented.

• Korean Journal of Community Nutrition
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• v.29 no.3
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• pp.199-211
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• 2024

Objectives: Online grocery shopping has gained traction with the digital transformation of retail. This study constructs a behavioral model combining values, attitudes, and reasons for behavior-specifically, facilitators and resistance-to provide a more novel discussion and further understand the relative influences of the various factors affecting continuance intention in online grocery shopping. Methods: Data were collected through an online questionnaire from consumers who had engaged in online grocery shopping during the past month in Seoul, Korea. All collected data were analyzed using descriptive analysis, and model validation was performed using partial least squares structural equation modeling. Results: Continuance intention is primarily driven by facilitative factors (compatibility, relative advantage, and ubiquity). Attitude can also positively influence continuance intention. Although resistance factors (price, tradition, and risk) do not significantly affect continuance intention, they negatively affect attitude. Values significantly influence consumers' reasoning processes but not their attitude. Conclusions: These findings explain the key influences on consumers' online grocery shopping behavior in Seoul and provide additional discussion and literature on consumer behavior and market management. To expand the online grocery market, consumers should be made aware of the potential benefits of the online channel; the barriers they encounter should be reduced. This will help sustain online grocery shopping behavior. Furthermore, its positive impact on attitude will further strengthen consumers' continuance intention.

• Journal of computational fluids engineering
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• v.15 no.2
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• pp.47-54
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• 2010

In the present study, a numerical simulation for the diffusion of hydrogen leakage of FCV(Fuel Cell Vehicle) in a tunnel was performed to aid the assessment of risk in case of leakage accident. The temporal and spatial distributions of the hydrogen concentration around FCV are predicted from the present numerical analyses. Flammable region of 4-74% and explosive region of 18-59% hydrogen by volume was identified from the present results. Factors influencing the diffusion of the hydrogen jet were examined to evaluate the effectiveness of tunnel ventilation system for relieving the accumulation of the leaked hydrogen gas. The distribution of the concentration of the leaked hydrogen for various cases can be used as a database in various applications for the hydrogen safety.

• Journal of the Korean Operations Research and Management Science Society
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• v.3 no.1
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• pp.57-67
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• 1978

This paper reviews various models of technological innovations at different levels: project level and productive segment level. Firstly, it examines a number of significant factors influencing the success and failure of technological innovation at project level. Specifically, the role and characteristics of technical information for the success of innovation is analyzed. Secondly, the paper discusses in detail the relationship between technological innovation and the evolution of a firm. Product and process innovations are analyzed in accordance with a three stage model; the stages are performance maximizing (uncoordinated), sales maximizing (segmental) and cost minimizing (systemic). Various implications of the model are presented in terms of the business policy variables such as diversification, standardization, productivity improvement, marketing, etc. The applicability of the model to a developing country is sought and a few suggestions to develop new model of technological innovations in LDC are discussed.