• Journal of the Korean Institute of Landscape Architecture
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• v.18 no.3 s.39
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• pp.143-154
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• 1990

This study aims at identifying factors and variables which have significant effects on users satisfaction with recreational activities and facilities in Apsan city natural park and therby establishing indicies of planning and / or development of urban forest. To test the causal models of this research, The data were gathered by self-administered questionnaires from 1,147 households in Taegu city which were selected by the multi-stage probabiling sampling method. The analysis of the data primarily consist of two phases : The first analysis dealt with exploratory factor analysis which identified major factors involved in satisfaction with recreational activities and facilities in Apasn city natural park and the second analysis tested the fit of causal models of this research to the data using LISREL methodology. The factor analysis identified that three significant factors are involved in satisfaction with recreational activities and five significant factors are inherent in satisfaction with recreational facilities. The second phase analysis tested the fit of the causal models for satisfaction with recreational activities and facilities to the data and identified statistically significant causal linkage among overall satisfaction with the park, other indogenous factors and exogenous variables. These significant relationships represent important factors and variables that should be considered in planning and/of development of the city natural park. On the basis of there significant causal relationships implications for planning and/or development of the city natural park were suggested.

• Journal of Information Technology Services
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• v.16 no.1
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• pp.1-26
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• 2017

Keeping good, talented people is one of the most significant factors in a company's success. HR analytics is an important area for applying big data analysis techniques to human resources. It provides organizational insight that enables effective management of employees, allowing management to reach their business goals quickly and efficiently. Job satisfaction and employee turnover analysis are the keys to HR analytics. Job review web services have been becoming popular. Because people exchange information about job satisfaction and turnover through these web services, useful information about HR Analytics is accumulated on the job review web sites. In this paper, we identified factors of employee retention by analyzing a Job Satisfaction/Retention group, and the factors of employee turnover by analyzing a Job Unsatisfaction/Turnover group. In order to do this, we first classified employees according to whether their self-reported job satisfaction or turnover was true. We collected and analyzed data from Jobplanet, a popular job review site. Through dominance analysis and LDA topic modeling, we found major factors, topics, and keywords of the classified groups by IT, service, and manufacturing domains. Our approach is a novel model to apply the analysis of reviews and text mining to the HR domain, and it will be practically helpful for setting new strategies that improve job satisfaction.

• Korean Journal of Adult Nursing
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• v.28 no.4
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• pp.399-414
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• 2016

Purpose: The purpose of this study was to review and identify factors relevant to workplace bullying in nursing. Methods: Twenty-three studies that met the criteria were selected from a sample of twenty-six studies. These articles were retrieved from a central literature databases (N=13,241). The total correlational effect size (ESr) for each related factor was calculated from Fisher's Zr. A funnel plot inspection (similar to scatter plot) with a trim-and-fill method was used to assess the publication bias of the meta-analyzed studies. Results: From the systematic review, fifty-one factors were identified as having an influencing effect. Fourteen factors (five individual and nine organizational factors) were eligible for meta-analysis. The individual factors included, self-esteem (ESr=-.31), psychological capital (ESr=-.26), and marital status (ESr=-.06) which were significantly correlated with workplace bullying. Organizational factors included, organizational tolerance (ESr=.48), supervisor incivility (ESr=.47), job stress (ESr=.46), group morale (ESr=-.36), group support (ESr=-.35), supervisor leadership (ESr=-.35), group identity (ESr=-.33), and structural empowerment (ESr=-.27). These factors were significantly correlated with workplace bullying. There were no publication biases except for both individual and organizational factors. Conclusion: Organizational factors have more of an greater impact than individual factors on workplace bullying. The results of this study support the need for intervention at the organizational level.

• Korea Journal of Hospital Management
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• v.18 no.4
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• pp.131-144
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• 2013

The purpose of this study is to analysis factors affecting workers' knowledge sharing intention in a hospital. This study is based on personal factors such as perceived incentives, perceived reciprocal benefits, perceived behavioral control, and subjective norm. Also, there are organizational factors such as organizational climate, CEO's support, rewards system, trust, and IT system. Data were assessed using 107 employees who work at C university hospital in Chunkcheong-do and collected with self-administered questionnaires from April 1 to 13 in 2013. This study was analyzed SPSS 18 by using frequency and multi regression analysis. The results of the study were as follows. First, knowledge sharing intention among personal factors was statistically significant in perceived behavioral control. Second, the awareness of knowledge sharing intention among organizational factors was turned out to be positive effect for CEO's support and trust. This study was identified a couple of factors affecting knowledge sharing intention between personal and organizational factors. The the implications of these factors are discussed and areas for developing hospital management strategies are fostered knowledge sharing.

• Journal of the Korean Home Economics Association
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• v.28 no.4
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• pp.155-176
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• 1990

The purpose of this study is to investigate the influential factors to home management ability of mothers and their unmarried daughters through researching the relationship of their home management ability. It would provide the basic data for the direction of Home Economics Education. The subjects were 653, from 20 to 30 years of unmarried women and their mothers in Chonbuk province. The questionaire was used to measure their Home Management ability. The measured areas were planing, creativity, consumption management, housework, evaluation, and human relation. The question items were respectively 6 and totally 36. Spss was used for the statistic. Frequency, Percentage, Means, Standard Deviation were used for general understanding. For data analysis, F-test, Pearson Product-moment Correlation, Duncan's Multiple Range Test, Stepwise Multi-regression Analysis were used. Lastly, the research pattern was examined by Path Analysis. The results were as follows. 1. The importnat influential factors to mother's home management ability were their schooling level and their perceived socio-economic status among the general factors(age, shooling level, perceived socio-economic status) and the family atmosphere factors(monthly income, family type). 2. The important influential factors of unmarried daughter's home management ability were the monthly income of their family and the socio-economic status perceived by them, among their mother's general factors, family atmohphere factors, their own general factors(age, schooling level, perceived socio-economics status, occupation, growing place). 3. The influence of mother's home management ability on unmarried daughter's home management ability was much more remarkable than mother's general factors, family atmosphere factors and unmarried daughter's general factors.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2005.05a
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• pp.141-147
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• 2005

Usually, processing whole project or a part of frame work delays due to acceleration, changing orders, management, characters of project. overtime, worker crowding, early occupation in the field of construction. Through a whole project, these factors cause decreasing construction labor-productivity which is the most dependent in business of construction. These kind of decreasing of construction labor-productivity cause many negative effects, just as extension of time, increasing cost in project of construction. Regardless of characters of construction or decreasing labor-productivity, extension of time is a incident which needs acceleration, also it cause a high possibility of claim and dispute. The productivity has just a broad meaning in business of construction. That's why it's difficult to apply in the field of construction. Especially, factors increasing or decreasing labor-productivity is defined by analysis of working as qualitative and outlined evaluation. However, study of the each factor decreasing construction labor-productivity analysis has not researched, because of difficulty of systematic measurement and management. The existed studies about management of productivity are just focused on estimation of productivity, not on evaluation of productivity. It was true that I couldn't examine clearly about the analysis of how much important per each the factor which have influence on labor-productivity because of the characteristic as qualitative that the labor productivity have On this study, i tried to get the factors decreasing of labor- productivity with gathering opinions of panels of expert's studies about the factors decreasing of labor-productivity on project of construction through Delphi method and i evaluated the result factors as quantitatively and subjectively about importance of factors decreasing construction labor-productivity Analysis, using AHP Method by Saaty. Also, using Delphi and AHP method, 1 suggest substantiated method qualitative factors are measured by quantitative criteria.

• Journal of the Ergonomics Society of Korea
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• v.31 no.5
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• pp.695-704
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• 2012

Objective: The purpose of this study was to investigate major factors influencing adoption of smartphone to promote its use by older adults. Background: Despite increasing proportion of elderly people and elderly market, the proportion of elderly smartphone user is still relatively small compared to whole smartphone users. Thus, we need to find out major factors influencing adoption of smartphone to increase proportion of elderly smartphone users. Method: Seven major factors were extracted from 36 survey questions using factor analysis. Regression analysis was also applied to determine specific factors affecting intention of use based on user versus non-user of smartphone, age, gender, and educational background. Results: As results of factor analysis and regression analysis, major factors influencing adoption of smartphone for elderly users were significantly different according to gender, age, educational background based on smartphone users or non-users. Conclusion: The result of this study identified major factors influencing adoption of smartphone for the elderly and provided basic information related to adoption of smartphone according to elderly people's characteristics. Consequently, we can expect to reduce the information gap and to improve quality of life for the elderly. Application: The development and marketing strategy could be applied differently based on the factors influencing adoption of smartphone. It is also possible to develop a prediction model for smartphone adoption according to elderly users' characteristics.

• Journal of the Ergonomics Society of Korea
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• v.10 no.1
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• pp.29-40
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• 1991

This study deals with a quantitative analysis of the effects of colors on learning effectiveness. First, sensuous or emotional factors that school children feel about colors of teachers' clothes are measured by SD method and analyzed by factor analysis. Second, sensuous or emotional factors to enhance learning effectiveness are measured by SD method from teachers, and principal factors are extracted by factor analysis. Finally, the analysis of interaction between the effects of colors and the learning effectiveness is done using the sensuous or emotional factors found from the previous two analyses. The results are as follows: (1) For in-class concentration, the principal factors are "stable", and "near" feelings. The colors related to these feelings are black, red, and blue. (2) For question inducing, the first principal factors are "soft" and "stable" feelings, and the colors are white and black. The second principal factors are "gentle" and "refined" feelings, and the colors are orange and black. (3) For extra-curricular activity, the principal factors are "artless" and "plain" feelings, and the color is blue.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.521-532
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• 2017

Purpose: The purpose of this study is to structure affective factors related to the tactile sense in order to improve tactile sensibility satisfaction of interior material. In this paper, we propose the design direction of interior material by analyzing the association between material properties and affective factors for automotive interior material. Methods: The relationship between sensibility adjectives and feelings related to tactile sensation were derived through factor analysis after touching prepared samples that were made by changing the material properties of automotive interior material. The association between affective factors and interior material properties were analyzed through ANOVA. Results: Seven kinds of visual and tactile affective factors were derived from the correlation between feeling of material and sensibility adjectives measured by 215 subjects. It is found that there is a quadratic relationship rather than a linear relationship through association analysis between affective factors and the material properties such as roughness, friction coefficient, and hardness. Conclusion: This study suggests the direction of the interior material design which can improve the sensibility satisfaction of the automobile customers by identifying the tactile factors related to the material properties of automotive interior material.

• Journal of the military operations research society of Korea
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• v.22 no.2
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• pp.166-181
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• 1996

Aircraft survivability is determined by the susceptibility and the vulnerability. The aircraft susceptibility and vulnerability depend upon the hardware and software factors. Each of the hardware and software factors consisted of the qualitative and quantitative attributes varies according to the time of the mission. In order to establish the mathermatical model to analyze and evaluate the aircraft survivability, qualitative factors have to be transformed into quantitative factors. Even if many researches in the area of dynamic concept analysis and conversion of qualitative factors into the quantitative factors has been insufficient. This research enhances these insufficient area by developing a reliable aircarft survivability analysis method. The major areas of this research are as follows. First, a method for the conversion of the qualitative factors into the quantitative factors is developed by combining the Fuzzy Set Theory concept and the Delphi Technique. Second, by using the stochastic network diagram for the dynamic survivability analysis, the aircraft survivability and the probability of kill are calculated from the state probability for the situation during mission. The advantage of the analysis technique developed in this research includes ease of use and flexibility. In other words, in any given aircraft's mission execution under any variable probability density function, the developed computer program is able to analyze and evaluate the aircraft survivability.