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미용종사자의 직무스트레스가 조직유효성에 미치는 영향과 조직몰입의 조절효과
김서인 ( Seo In Kim ) 대한미용학회 2020 대한미용학회지 Vol.16 No.4
The purpose of the current study was to understand the effect of beauty workers’ job stress on organizational effectiveness and to examine the moderating effect of organizational commitment on job stress and organizational effectiveness. Participants included 303 beauty workers in Busan, Korea who were administered a questionnaire regarding job stress, job satisfaction, turnover intention, and organizational commitment. Data were coded and cleaned prior to analysis using SPSS. The results indicate that job stress had a significant effect on organizational effectiveness, suggesting that stress management for beauty industry workers is an important factor to be addressed for improved organizational effectiveness. A regression analysis was conducted to examine whether job stress that affects organizational effectiveness was moderated by organizational commitment. Results found that there was a significant relationship between job stress and organizational commitment, suggesting that organizational commitment moderates the relationships between job stress, job satisfaction, and turnover intention. Given the current findings, organization management plans that can relieve job stress and promote organizational commitment of employees should be constructed to enhance job satisfaction, reduce employee turnover, and improve systems and personnel, thereby improving business performance.
김서인(Seo In Kim),김동성(Dong Sung Kim),김종우(Jong Woo Kim) 한국지능정보시스템학회 2016 지능정보연구 Vol.22 No.3
Recently, sentiment analysis using open Internet data is actively performed for various purposes. As online Internet communication channels become popular, companies try to capture public sentiment of them from online open information sources. This research is conducted for the purpose of analyzing pulbic sentiment of Korean Top-10 companies using a multi-categorical sentiment lexicon. Whereas existing researches related to public sentiment measurement based on big data approach classify sentiment into dimensions, this research classifies public sentiment into multiple categories. Dimensional sentiment structure has been commonly applied in sentiment analysis of various applications, because it is academically proven, and has a clear advantage of capturing degree of sentiment and interrelation of each dimension. However, the dimensional structure is not effective when measuring public sentiment because human sentiment is too complex to be divided into few dimensions. In addition, special training is needed for ordinary people to express their feeling into dimensional structure. People do not divide their sentiment into dimensions, nor do they need psychological training when they feel. People would not express their feeling in the way of dimensional structure like positive/negative or active/passive; rather they express theirs in the way of categorical sentiment like sadness, rage, happiness and so on. That is, categorial approach of sentiment analysis is more natural than dimensional approach. Accordingly, this research suggests multi-categorical sentiment structure as an alternative way to measure social sentiment from the point of the public. Multi-categorical sentiment structure classifies sentiments following the way that ordinary people do although there are possibility to contain some subjectiveness. In this research, nine categories: ‘Sadness’, ‘Anger’, ‘Happiness’, ‘Disgust’, ‘Surprise’, ‘Fear’, ‘Interest’, ‘Boredom’ and ‘Pain’ are used as multi-categorical sentiment structure. To capture public sentiment of Korean Top-10 companies, Internet news data of the companies are collected over the past 25 months from a representative Korean portal site. Based on the sentiment words extracted from previous researches, we have created a sentiment lexicon, and analyzed the frequency of the words coming up within the news data. The frequency of each sentiment category was calculated as a ratio out of the total sentiment words to make ranks of distributions. Sentiment comparison among top-4 companies, which are ‘Samsung’, ‘Hyundai’, ‘SK’, and ‘LG’, were separately visualized. As a next step, the research tested hypothesis to prove the usefulness of the multi-categorical sentiment lexicon. It tested how effective categorial sentiment can be used as relative comparison index in cross sectional and time series analysis. To test the effectiveness of the sentiment lexicon as cross sectional comparison index, pair-wise t-test and Duncan test were conducted. Two pairs of companies, ‘Samsung’ and ‘Hanjin’, ‘SK’ and ‘Hanjin’ were chosen to compare whether each categorical sentiment is significantly different in pair-wise t-test. Since category ‘Sadness’ has the largest vocabularies, it is chosen to figure out whether the subgroups of the companies are significantly different in Duncan test. It is proved that five sentiment categories of Samsung and Hanjin and four sentiment categories of SK and Hanjin are different significantly. In category ‘Sadness’, it has been figured out that there were six subgroups that are significantly different. To test the effectiveness of the sentiment lexicon as time series comparison index, ‘nut rage’ incident of Hanjin is selected as an example case. Term frequency of sentiment words of the month when the incident happened and term frequency of the one month before the event are compared. Sentiment categories was redivided into positive/negative sentiment, and it is tried to figure out whether the event act
충전율에 따른 폐광산 채굴적 공동의 변위거동에 관한 연구
김동락(Dong-Rak Kim),서인식(In-Shik Seo) 한국산업융합학회 2011 한국산업융합학회 논문집 Vol.14 No.4
The domestic mine development community the countermeasure establishment is insufficient about ground sinkage, not only the mine which is a in line is partial from the mine of the most which has become the rest mine and abandoned mine or the index sinkage occurs. The ground sinkage which occurs from the abandoned mine area most after operation is stopped, a long time passes and accurately predicts an occurrence location and a time with the residual sinkage which occurs, is difficult. Underground goaf of the abandoned mine and the closed shaft When considering the potentiality which causes the instability of ground, is a possibility of reaching a damage in the ground infrastructure or life. The underground shaft which is formed specially with mine development and goaf operates with the obstacle factor in the development project of the mine area, the ground sinkage which is caused by with sinkage, operates with the large safety accident occurrence factor where the important infrastructure of the railroad, road, residential area etc. is damaged. Therefore, In this paper, the goaf cave of the abandoned mine area, for the displacement behavior according to the filling factor of the material is to analyze the numerical analysis.
서인식 ( In-shik Seo ),김동락 ( Dong-rak Kim ) 한국산업융합학회 2005 한국산업융합학회 논문집 Vol.8 No.2
Foliated metamorphic, stratified sedimentary and regularity jointed rocks have properties(physical, mechanical) that vary with direction (β°) and are said to be anisotropic. The ground in Daegu area consists of shales, clastic sedimentary rocks. These shales have plane anisotropic or transversely isotropy characteristics. Engineering characteristics of shale in Daegu area are investigated by performing a series of rock test to the bedding(β =0, 30, 60, and 90 degrees). The results of tests show that the uniaxial compressive strength is a maximum at β = 0, 90° and is a minimum when β is around 60 degree.
이상호,김동락,서인식,Lee, Sang-Ho,Kim, Dong-Rak,Seo, In-Shik 한국농공학회 2012 한국농공학회논문집 Vol.54 No.5
A evaluation for the strength of rock includes a lot of uncertainty due to existence of discontinuity surface and weakness plain in the rock mass, so essential test results and other data for the resonable strength analysis are absolutely insufficient. Therefore, a analytical technique to reduce such uncertainty can be required. A probabilistic analysis technique has mainly to make up for the uncertainty to investigate the strength of rock mass. Recently, a artificial neural networks, as a more newly analysis method to solve several problems in the existing analysis methodology, trends to apply to study on the rock strength. In this study the unconfined compressive strength from basic physical property values of sedimentary rock, black shale and red shale, distributed in Daegu metropolitan area is estimated, using the artificial neural networks. And the applicability of the analysis method is investigated. From the results, it is confirmed that the unconfined compressive strength of the sedimentary rock can be easily and efficiently predicted by the analysis technique with the artificial neural networks.