• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.217-245
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• 2016

The purpose of this study is to verify how 7 sentiment domains extracted through sentiment analysis from social media have an influence on business performance. It consists of three phases. In phase I, we constructed the sentiment lexicon after crawling 45,447 pieces of VOC (Voice of the Customer) on 26 auto companies from the car community and extracting the POS information and built a seven-sensitive domains. In phase II, in order to retain the reliability of experimental data, we examined auto-correlation analysis and PCA. In phase III, we investigated how 7 domains impact on the market share of three major (GM, FCA, and VOLKSWAGEN) auto companies by using linear regression analysis. The findings from the auto-correlation analysis proved auto-correlation and the sequence of the sentiments, and the results from PCA reported the 7 sentiments connected with positivity, negativity and neutrality. As a result of linear regression analysis on model 1, we indentified that the sentimental factors have a significant influence on the actual market share. In particular, not only posotive and negative sentiment domains, but neutral sentiment had significantly impacted on auto market share. As we apply the availability of data to the market, and take advantage of auto-correlation of the market-related information and the sentiment, the findings will be a huge contribution to other researches on sentiment analysis as well as actual business performances in various ways.

• Convergence Security Journal
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• v.14 no.1
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• pp.33-41
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• 2014

The purpose of this study is to establish the relationship of empowerment and organization attachment with the organization culture of security organization. This study is based by setting the security organization employed in security firms in the capital area(Seoul) in 2012 as the parent population and using the purposive sampling method to analyze a total amount of 280 examples. The frequency analysis, analysis on primary factors, reliability analysis, multiple regression analysis, path analysis methods using SPSSWIN 18.0 were used in analysis. The reliability of the survey showed a Cronbach's ${\alpha}$ value of over 0.690. The results are like the following. First, the organization culture of security organization affect empowerment. Thus, the more a practical development culture is settled, the more the capability of self-determinism, meaningfulness, and effect is amplified. Moreover, the more a consensual culture is established, the more the capability of self-determinism is enhanced, and the more a hierarchical culture is established, the more the meaningfulness is enhanced. Second, the organization culture of security organization affect organization attachment. Thus, the continuous normative attachment is enhanced when a more hierarchical culture is established. Moreover, emotional attachment is enhanced when a more practical development culture is established. Third, the empowerment of security organization affects organization attachment. Thus, the continuous normative attachment is decreased when one's capability of self-determinism is more lacking. However, the continuous normative attachment is higher when the meaningfulness and effect is enhanced. Moreover, emotional attachment is enhanced when meaningfulness is increased. Fourth, the organization culture of security organization directly/indirectly affects empowerment and organization attachment. Thus, empowerment is an important mediating factor between organization culture and organization attachment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.409-420
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• 2016

The aim of this study was to develop and validate an instrument to measure the separation anxiety of mothers who use child care facilities. The scale was developed as follows: initial items generated, validity and reliability tests performed, and final items extracted. The initial items were developed through a literature review and interviews. The content validity was verified by five experts. Using a final questionnaire, the data was collected from 204 mothers who used child care facilities with a convenient sampling method. The construct validity was evaluated by item analysis, exploratory factor analysis and confirmatory factor analysis. The results of confirmatory and exploratory factor analyses showed that the separation anxiety consisted of 6 factors: the mother's guilty feelings (5-items), safety of child care facilities (5-items), trust of teachers (5-items), child's anxiety (4-items), interaction anxiety with the child (4-items), and management of child care facilities (3-items). The separation anxiety scale for mothers using child care facilities consisted of 26 items. The reliability of the developed scale was examined. The Cronbach's ${\alpha}$ coefficient was 0.93. These results show that this scale is a valid and reliable instrument for measuring the separation anxiety level of mothers who use child care facilities.

• Korean Journal of Social Welfare Studies
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• v.49 no.1
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• pp.191-219
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• 2018

Although several measurements of happiness at work have been developed as interest in it has grown, most of them only deal with hedonia, emotional pleasure, and there exists no measurement of eudaimonia, ultimate happiness through meaning and worthiness in Korea. This study aims to examine the validity of the Korean version of Global Hedonic and Eudaimonic Job Satisfaction (K-GHEJS) scale which covers both hedonia and eudaimonia at work. Considering the job characteristics of social work which emphasizes the values and meaning of the helping profession, online survey was performed among a total of 376 social workers. Exploratory factor analysis confirmed the goodness-of-fit of 10 items, and confirmatory factor analysis confirmed that classification as two factors of hedonic and eudaimonic job satisfaction is appropriate. The reliability was found to be high as reliability coefficient Chronbach's ${\alpha}$ was .936. This K-GHEJS scale which measures eudaimonic happiness for the first time in Korea, is expected to be useful for measuring job satisfaction of the helping professions such as social work that pursues the values and meanings of work.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.17-34
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• 2021

This study aimed to examine the Factor Structure of the teacher satisfaction scale (TSS) with distance education during the Covid-19 pandemic, as well as affirming the (Factorial Invariance) according to gender variable. It also aimed at identifying the degree of satisfaction according to some demographic variables of the sample. The study population consisted of all teachers in public education and faculty members in higher education in the Kingdom of Saudi Arabia. The (TSS) was applied to a random sample representing the study population consisting of (2399) respondents. The results of the study showed that the scale consists of five main factors, with a reliability value of (0.94). The scale also showed a high degree of construct validity through fit indices of the confirmatory factor analysis. The results have shown a gradual consistency of the measure's invariance that reaches the third level (Scalar-invariance) of the Measurement Invariance across the gender variable. The results also showed that the average response of the study sample on the scale reached (3.74) with a degree of satisfaction, as there are no statistically significant differences between the averages of the study sample responses with respect to the gender variable. While there were statistically significant differences in the averages with respect to the variable of the educational level in favor of the middle school and statistically significant differences in the averages attributed to the years of experience variable in favor of those whose experience is less than (5) years.

• KEPCO Journal on Electric Power and Energy
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• v.6 no.4
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• pp.413-418
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• 2020

It is necessary to manage the prediction accuracy of the machine learning model to prevent the decrease in the performance of the grid network condition prediction model due to overfitting of the initial training data and to continuously utilize the prediction model in the field by maintaining the prediction accuracy. In this paper, we propose an automation technique for maintaining the performance of the model, which increases the accuracy and reliability of the prediction model by considering the characteristics of the power grid state data that constantly changes due to various factors, and enables quality maintenance at a level applicable to the field. The proposed technique modeled a series of tasks for maintaining the performance of the power grid condition prediction model through the application of the workflow management technology in the form of a workflow, and then automated it to make the work more efficient. In addition, the reliability of the performance result is secured by evaluating the performance of the prediction model taking into account both the degree of change in the statistical characteristics of the data and the level of generalization of the prediction, which has not been attempted in the existing technology. Through this, the accuracy of the prediction model is maintained at a certain level, and further new development of predictive models with excellent performance is possible. As a result, the proposed technique not only solves the problem of performance degradation of the predictive model, but also improves the field utilization of the condition prediction model in a complex power grid system.

• 재활복지
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• v.21 no.2
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• pp.169-190
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• 2017

The purpose of this study was to investigate item goodness-of-fit of Scale, Rasch rating scale model was applied to 5 dimensions 24 items of the Test of Performance Strategies (TOPS) in a sample of athletes with physical disabilities (n=215). An assumption to test Rasch Model, which is satisfaction of unidimensionality, is regarded through PCAR test, and WINSTEPS 3.65 program is used to test the goodness-of-fit of items. The results of this study were: First, 3-point rating category was appropriate for the TOPS instead of the existing 5-point rating category. Second, as a result of analyzing the goodness-of-fit of the items, 21 items of the TOPS were suitable, but 3 items were not. Third, the item reliability of person separation of the TOPS was acceptable, but the person reliability of item separation was not suitable and it was necessary to adjust the item order considering the difficulty level of the items. Fourth, as a result of comparing the individual attribute score and the difficulty level through the Item-Person Map, the distribution of the item difficulty distribution was shown to be biased in some factors compared to the personal attribute score distribution.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.130-143
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• 2019

The purpose of this study is to identify factors of 25~36 months old infant's happiness and to develop a scale to measure infant happiness. The subjects were 250 infants aged 25~36 months. The results of this study are as follows: First, the components and items of infant's happiness scale selected through the literature, the previous measurement tool, and the focus group interview were 8 components and 29 items. The items were composed of 4 items of problem behavior, 4 items of achievement through immersion, 4 items of relationship with friends, 4 items of relationship with teacher, 3 items of physical environment, 4 items of positive emotion, 3 items of negative emotion, and 3 items of health. Second, as a result of validation of validity for infant's happiness scale, the item fit was confirmed with CFI=0.89, TLI=0.88, and RMR=0.05. Also, the construct validity was confirmed with convergent validity and discriminant validity. The concurrent validity was significantly correlated with the components of the previously developed measurement tools, and the reliability was appeared with 0.71-0.89. The infant's happiness scale developed in this study ensured reliability and validity as a measurement to measure infant happiness. Therefore, this scale is expected to be used as a major test tool to develope and verify a program for promoting infant happiness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.372-381
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• 2019

In this study, the National Disaster Management System (NDMS) was analyzed to evaluate the disaster impact assessment standards for steep slopes. Problems in the assessment methods and systems were discovered, which could be reasons for poor reliability. The disaster-risk evaluation index needs improvement to evaluate various types of retaining walls, such as concrete/reinforced soil walls and reinforcing stone masonry. Additionally, using the same score for overturning, bulging, and efflorescence could be reasons for poor reliability, and different weighting factors are needed. Assessment methods are needed to subdivide the social influence evaluation index while considering environmental conditions of steep slopes, such as railroads and reservoirs. For the evaluation of steep slopes, standards for start and end points of steep slopes should be created for effective management, and disaster impact assessment needs to be performed after redevelopment from an advanced index for protection and reinforcement. These problems were derived from a current evaluation system, so a disaster impact assessment is necessary to supplement the results of this study.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.159-168
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• 2019

The purpose of this study is to propose a strategy for creating an advertisement for Corporate Social Responsibility(CSR) based on the strategy of selecting an advertisement model in order to efficiently execute the advertisement of CSR. Data were analyzed by regression analysis. The results of this study are as follows: First, it is found that the value-relevance factors of the model are important regardless of the theme of CSR. In the economic field, the reliability of the model is important. But, the attractiveness of the model was more important in the environmental field. Second, it is effective to select a model with high value-relevance when selecting CSR advertising model. But, in the case of an expert, it is effective to select not only value addition, but also attractive and reliable models. Third, when producing CSR ads using emotional messages, it is important to consider the value and reliability of the advertising model. But, it is important to select the model considering the importance of the value and attractiveness of the advertisement model when producing the CSR advertisement using the informational message. It was found that it is very important to select a model that has a high relevance to the image of the social responsibility subject and the advertisement model when producing the social responsibility advertisement.