• Journal of Agricultural Extension & Community Development
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• v.22 no.4
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• pp.395-404
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• 2015

The purpose of this study was to examine the structural relationships between attributes, satisfaction, and behavioral intention of rural tourism activity. For this study, an onsite survey was conducted to tourists of 35 rural tourism farms. A total of 408 samples were collected for the analysis. The SPSS 20.0 and AMOS 18.0 statistical package were used for frequency, reliability, exploratory factor, confirmatory factor, and path analysis. Through exploratory factor analysis, four dimensions of rural tourism activity attribute were identified from 20 variables: 'human resource', 'activity', 'rural culture', and 'facility and environment'. The results of structural equation modelling indicate that 'human resource', 'activity', 'rural culture' had positive effect on behavioral intention. Through the results, agritourism farm operators will be able to develop effective marketing strategy and management skill.

• Wind and Structures
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• v.31 no.4
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• pp.311-319
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• 2020

India is a developing nation and heavily spends on the development of wind power plants to meet the national energy demand. The objective of this paper is to investigate wind power potential of Ennore site using wind data collected over a period of two years by three parameter Weibull distribution. The Weibull parameters are estimated using maximum likelihood, least square method and moment method and the accuracy is determined using R² and root mean square error values. The site specific capacity factor is calculated by the mathematical model developed by three parameter Weibull distribution at different hub heights above the ground level. At last, the wind energy economic analysis is carried out using capacity factor at 30 m, 40 m and 50 m height for different wind turbine models. The analysis showed that the site has potential to install utility wind turbines to generate energy at the lowest cost per kilowatt-hour at height of 50 m. This research provides information of wind characteristics of potential sites and helps in selecting suitable wind turbine.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.910
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• pp.1197-1207
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• 2004

The purpose of this study was to identify the impact of materialism on the attitude toward purchasing foreign luxury brands and the moderating effect of consumer ethnocentrism on this impact. Data were gathered by surveying university students living in Seoul metropolitan area using convenient sampling, and 325 questionnaires were used in the statistical analysis. In analysing data, confirmatory factor analysis and path analysis were conducted using structural equation modeling. Results showed that success factor of materialism gave rise to negative attitude toward purchasing foreign luxury brands while centrality factor of materialism spurred positive attitude. Consumer ethnocentrism also showed a significant effect as a moderator on the relationship between materialism and attitude: The relationship between materialism and attitude was stronger among subjects who had lower consumer ethnocentric tendencies than among subjects who had higher consumer ethnocentric tendencies.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.11a
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• pp.233-237
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• 2005

It is increased electrical energy consumption with the development of intelligence society in the general hospitals and thus an energy conservation through efficient use of electricity became more important. This paper shows a reasonable design demand factor in office buildings, that was made by the systematic and statistical way considering actual conditions, such as investigated electric equipment capacity, peak power consumption, demand factor, etc., for 32 general hospitals and 9 electrical design offices. In this dissertation, it is necessary to analyse the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried linear and nonlinear regression analysis.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.7
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• pp.970-981
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• 2002

The purpose of the study is to clarify orange image in the modern fashion. So kinds of costume sample being visual power in orange have been selected from photographs in fashion magazines and divided into the tones : mist(Vp, Lgr, L), bright(P, B), vivid(S, V, Dp). The study was measured by using 27 semantic differential hi-polar scales. The subjects were 50 female students majoring in clothing and textiles, The data was analyzed using the statistical SPSS package. The data were collected using self-administred questionnaires and analyzed by Cronbach $\alpha$, Factor analysis, MDS, ANOVA Sheff test and Regression analysis. The major findings of this research were as follows. 1. Factor analysis has extracted 4 factors of orange image in the fashion. These factor are Attractiveness, Audacity, Hardness and Softness, Cuteness. 2. There were significant difference in visual evaluation of tones. 3. The discrimination among tones was related to cuteness and weight of orange. 4. The image effect on Preference, Buying needs, Pleasant and Riches was consist of complicated sensibility.

• Knowledge Management Research
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• v.6 no.2
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• pp.105-118
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• 2005

The future will see all industries become technology-driven in the competitive global market place. Firms with deep technological roots and innovation strategies have some advantages. Business valuation of technology is critical to the future of firm's business. In this situation widely used scoring valuation is not enough to evaluate relative business competitiveness associated with technology and to assign its relative ranking category. Therefore, a more useful and comprehensive new valuation approach, which is called business composite index, is needed to complement and to enhance the existing scoring valuation approach. In this research, statistical factor analysis is applied to determine the common factors and to estimate associated weights. And business composite index, which is a kind of weighted scoring method, is derived based on the results of factor analysis. This research shows that business composite index is considered very useful to measure the business relative strength of individual technology and also to assign its relative ranking category instead of absolute ranking based on scoring valuation approach.

• Journal of the Korean Home Economics Association
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• v.37 no.4
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• pp.1-16
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• 1999

The objectives of this study are examine the variables effecting management behavior of home-band worker through empirical study. The data used for statistical analysis is 285 home-based worker. The statistical methods used for data analysis were frequencies, mean, t-test, multiple regression, factor analysis and path analysis. The major findings can be summarized as fellows. Home-based workers' various characteristics were statistically significant variable to management behavior. Home-based work income were higher for older women, no employ experience in out of home, lower age of children, business owner, lower time flexibility. In cause-effect model analysis that affects life satisfaction was related to work management, home management behavior and income. Based on the finds of the study, it was found that home-based work can be good alternative to induce married women to labour market if some problems are covered.

• Journal of the Korea Society of Computer and Information
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• v.23 no.5
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• pp.65-72
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• 2018

This study analyzes college dropout cases to reduce its rate. The analysis is preferentially carried out by figuring out our current situation of college dropout rate in pertinent cases and all around country's. Based on the current states, statistical analysis is accomplished as follows; analyzing the characteristic differences between the being in school's and the dropouts' by T-Test, determining the influence factor by logistic regression analysis and drawing the target group for special treatments through these statistical analysis. To reduce dropout rate, several measures could be adopted; focused counseling for each target group, special monitoring for students on leave of absence and opening major subjects for improving relationship between students and professors. The measures suggested by the analysis through this study are expected to lower the dropout rates effectively in college or specific fields including engineering science.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.6
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• pp.963-971
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• 2007

This research aimed to determine the relationship between hotel restaurants' SCM activities and their results. The samples are included exclusive high-end hotels located in the seoul area. To analyze the data, frequency analysis, reliability analysis, factor analysis, and regression analysis were applied. Multiple regression analysis showed that SCM activities (${\beta}$=.342, p<.000), information sharing (${\beta}$=.136, p<.006), and cooperative activities (${\beta}$=.120, p<.015) had a significant impact on financial performance. The explanatory power of this model was 14%, and there was statistical significance in the regression model. SCM activities(${\beta}$=.221, p<.000), information sharing (${\beta}$=.475, p<.000), and cooperative activities (${\beta}$=.172, p<.000) also had a significant impact on non-financial performance, and the explanatory power of this model was 29%, with statistical significance in the regression model.

• Journal of Korea Multimedia Society
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• v.20 no.1
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• pp.66-73
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• 2017

Due to the recent rapid changes in society and wide spread of information devices, diverse digital information is utilized in a variety of economic and social analysis. Information related to the crime statistics by type of crime has been used as a major factor in crime. However, statistical analysis using only the structured data has the difficulty in the investigation by providing limited information to investigators and users. In this paper, structured data and unstructured data are analyzed by applying Korean Natural Language Processing (Ko-NLP) and the Latent Semantic Analysis (LSA) technique. It will provide a crime profile optimum system that can be applied to the crime profiling system or statistical analysis.