• Title/Summary/Keyword: 다중회귀분석기법

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A Case Study on the effects of Tourism Cluster creation on the promotion of regional festivals (관광클러스터 구축이 지역축제 활성화에 미치는 영향에 관한 사례연구)

  • Won, Seo-Jin;Jeon, In-Oh
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.5 no.3
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    • pp.47-68
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    • 2010
  • In this study, a unit of regional tourism as a cluster of innovative strategies that can be an assumption that the activation of tourism clusters building on local festivals and participated to review the empirical aims. The purpose of this study was to achieve literature and empirical research were given recognition for the cultural festival in Chungnam, Chungcheong-do you want to go to the local cultural festival linked to the tourist attractions, the cluster characteristics, participation motives, the festival satisfaction, revisit the decision, recommendation of the The analysis was carried out degrees. To this end, local cultural festivals and attractions, Chungnam 150 spectators in the survey was conducted, the statistical analysis using SAS 9 statistical package program was analyzed. Used for statistical analysis, frequency analysis, factor analysis, reliability analysis, multiple regression analysis. Festival of the cluster attribute satisfaction and revisit four on the most direct impact on the competitive conditions were not. Festival in regard to motivation and satisfaction with intrinsic motivation, extrinsic motivation in returning to the doctor more were affected. The condition is the element intrinsic motivation, extrinsic motivation is a race condition was the biggest influence. Therefore, the element condition Satisfaction Festival, a race condition in four to revisit the biggest indirect impact can be seen.

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The Effects of Customer Aggression on the Job Stress and Emotional Burnout of Security Guards in Casino (카지노 고객의 공격성이 시큐리티 종사자의 직무스트레스 및 소진에 미치는 영향)

  • Chun, Yong-Tae
    • Korean Security Journal
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    • no.23
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    • pp.87-107
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    • 2010
  • The purpose of this study is to examine the effects of customer aggression on the job stress and emotional burnout of security guards in casino. Investigating tools used questionnaire, the sampling was drawn from security guards at 6 casinos which had more than 30 security guards. To this study, the partisans of the study were 269 people. Data for creation for questionnaire is completely computed processing and using SPSS 15.0 Windows that is social studies scholastic mantle command program after imputed encoding according to each purpose. Analyzing techniques to use for analysis of data enforced technology figure analysis, factor analysis, reliability analysis, t-test, one-way ANOVA, multiple regression analysis. Through data analysis by such method and procedure, conclusion that gets in this research is as following. First, exposure that is difference that keep in mind partially as result that verify difference of aggression according to demographical features, job stress and emotional burnout that is security guard's in casino. Second, exposure that is difference that keep in mind as statistical as result that verify effect that customer aggression gets in job stress of security guards in casino. Third, exposure that is difference that keep in mind as statistical as result that verify effect that customer aggression gets in emotional burnout of security guards in casino.

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Comparative Analysis of Calculation Methods on Willingness to Pay for Introduction of Emergency-call System (교통사고 긴급통보시스템 도입을 위한 지불의사액 산정방안 비교분석)

  • Lee, Yoonjung;Do, Myungsik;Jang, Taek young;Han, Daeseok
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.6
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    • pp.50-59
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    • 2015
  • This study aimed at suggesting Willingness To Pay (WTP) for introduction of the Traffic Accident emergency Call (TAC) system by using Contingent Valuation Method (CVM) which is a general valuation method. As the method, this study suggested a WTP estimation method of the TAC system with the double-bound dichotomous choice model. In previous studies, the data are processed differently according to the type of questions and analysis models used for the calculation of willingness to pay. Therefore, we re-organized the model by the cases using the truncated data sets, and showed the difference in WTPs. The dataset was developed by more than 500 questionnaire obtained from online and offline survey with the consideration of composition ratio by age group referring housing census in 2010 to mitigate regional bias of samples. At last, this study applied various statistical methods, survival analysis, multiple regression, and Tobit model for better interpretation of the questionnaires.

A Study on the Effects of Big Five Personality Factors on Career Behavior (성격 5요인이 진로행동에 미치는 영향)

  • Lee, Gil-Hwan;Lee, Deog-Ro;Park, Sang-Seok
    • Management & Information Systems Review
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    • v.31 no.4
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    • pp.397-432
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    • 2012
  • The purpose of this study is Big Five personality factors of personality type on career behavior, that is, entry to the unsafe first job in Korean university students. To accomplish this research objective, this study collected data from 500 students in three universities and two colleges located in the Chungcheong region. Among 350 questionnaires, 342 copies were used for a final analysis. In order to analyze the survey data, statistical package program SPSS/WIN 18.0 was utilized and statistical techniques such as basic statistical analysis, factor analysis, Cronbach's alpha, correlation analysis, and multiple regression analysis were used. The results obtained in this study can be summarized as follows. The extraversion personality and agreeableness personality of college students has a significant effect on the entry to the unsafe first job in the positive direction. On the other hand, the neurotic personality and openness to experience has a significant effect on the entry to the unsafe first job in the negative direction. However, the integrity personality of college students was not statistically significant. Finally, based on the empirical results we suggested several theoretical and practical implications.

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Characterizing CO2 Supersaturation and Net Atmospheric Flux in the Middle and Lower Nakdong River (낙동강 중하류에서 이산화탄소 과포화 및 순배출 특성 분석)

  • Lee, Eun Ju;Chung, Se Woong;Park, Hyung Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.416-416
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    • 2019
  • 육상 담수는 대기중 이산화탄소($CO_2$) 배출의 중요한 발생원으로 주목되고 있다. 하천 및 강에서 대기중으로 배출되는 $CO_2$는 전 세계 탄소순환의 핵심요소이며, 대부분의 하천과 강은 $CO_2$로 과포화 되어있다. 세계적으로 하천 및 강의 $CO_2$ 배출량은 호수 및 저수지의 배출량보다 약 5배 많은 것으로 보고되고 있으나, 국내연구에서는 연구사례가 드물다. 따라서 본 연구의 목적은 낙동강 중하류에 위치해있는 강정고령보(GGW), 달성보(DSW), 합천창녕보(HCW), 창녕함안보(CHW)에서 발생되는 순 대기 배출 플럭스(Net Atmospheric Flux, NAF)의 동적 변동 특성을 분석하고, 데이터마이닝 기법을 적용하여 쉽게 수집할 수 있는 물리적 및 수질 변수로 $CO_2$ NAF를 추정하는데 사용할 수 있는 간략한 예측 모델을 개발하는데 있다. $CO_2$ NAF는 대기-수면 경계면에서의 $CO_2$ 부분압($pCO_2$)의 차에 기체전달속도를 곱하여 산정하였으며, 기체전달속도는 Cole and Caraco(1998)가 제안한 식을 사용하였다. 담수와 해수의 탄산염 시스템에서 열역학적 화학평형을 모두 고려한 $CO_2$SYS 프로그램을 사용하여 수중의 $pCO_2$를 산정하였고, $CO_2$ NAF는 Henry의 법칙과 Fick의 1차 확산법칙을 사용하여 계산하였다. $CO_2$ NAF의 시간적 변동성에 영향을 미치는 환경요인을 평가하기 위해서 상관분석, 주성분분석(Principal Component Analysis; PCA), 단계적다중회귀모델(Step-wise Multiple Linear Regression; SMLR), 랜덤포레스트(Random Forest; RF)방법을 사용하였다. SMLR 모델은 R package인 olsrr, RF 모델은 R package인 caret, randomForest를 이용하여 분석하였다. 연구 결과, 4개 보 상류 하천구간은 조류의 성장이 활발한 일부 기간을 제외한 대부분의 기간에서 $CO_2$를 대기로 배출하는 종속영양시스템(Heterotrophic system)을 보였다. $CO_2$ NAF의 중위값은 HCW에서 최소 $391.5mg-CO_2/m^2day$, DSW에서 최대 $1472.7mg-CO_2/m^2day$였다. 모든 보에서 NAF는 pH와 강한 음의 상관관계를 보였으며, $pCO_2$와 Chl-a도 음의 상관관계를 보였다. 이는 조류가 수중에서 $CO_2$를 소비하고 pH를 증가시키기 때문이다. PCA 분석 결과, NAF와 $pCO_2$가 높은 공분산을 보였으며, pH와 Chl-a는 반대 방향으로 군집되어 상관분석과 동일한 결과를 보였다. 이 연구를 통해 개발된 SMLR 모델과 RF 모델의 Adj. $R^2$ 값은 모든 보에서 0.77 이상으로 나왔으며, $pCO_2$ 측정 데이터가 없더라도 하천의 $CO_2$ NAF를 추정하는 방법으로 사용될 수 있을 것으로 평가된다.

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An Impact Assessment of Climate and Landuse Change on Water Resources in the Han River (기후변화와 토지피복변화를 고려한 한강 유역의 수자원 영향 평가)

  • Kim, Byung-Sik;Kim, Soo-Jun;Kim, Hung-Soo;Jun, Hwan-Don
    • Journal of Korea Water Resources Association
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    • v.43 no.3
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    • pp.309-323
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    • 2010
  • As climate changes and abnormal climates have drawn research interest recently, many countries utilize the GCM, which is based on SRES suggested by IPCC, to obtain more accurate forecast for future climate changes. Especially, many research attempts have been made to simulate localized geographical characteristics by using RCM with the high resolution data globally. To evaluate the impacts of climate and landuse change on water resources in the Han-river basin, we carried out the procedure consisting of the CA-Markov Chain, the Multi-Regression equation using two independent variables of temperature and rainfall, the downscaling technique based on the RegCM3 RCM, and SLURP. From the CA-Markov Chain, the future landuse change is forecasted and the future NDVI is predicted by the Multi-Regression equation. Also, RegCM3 RCM 50 sets were generated by the downscaling technique based on the RegCM3 RCM provided by KMA. With them, 90 year runoff scenarios whose period is from 2001 to 2090 are simulated for the Han-river basin by SLURP. Finally, the 90-year simulated monthly runoffs are compared with the historical monthly runoffs for each dam in the basin. At Paldang dam, the runoffs in September show higher increase than the ones in August which is due to the change of rainfall pattern in future. Additionally, after exploring the impact of the climate change on the structure of water circulation, we find that water management will become more difficult by the changes in the water circulation factors such as precipitation, evaporation, transpiration, and runoff in the Han-river basin.

Identification of the Environmentally Problematic Input/Environmental Emissions and Selection of the Optimum End-of-pipe Treatment Technologies of the Cement Manufacturing Process (시멘트 제조공정의 환경적 취약 투입물/환경오염물 파악 및 최적종말처리 공정 선정)

  • Lee, Joo-Young;Kim, Yoon-Ha;Lee, Kun-Mo
    • Journal of Korean Society of Environmental Engineers
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    • v.39 no.8
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    • pp.449-455
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    • 2017
  • Process input data including material and energy, process output data including product, co-product and its environmental emissions of the reference and target processes were collected and analyzed to evaluate the process performance. Environmentally problematic input/environmental emissions of the manufacturing processes were identified using these data. Significant process inputs contributing to each of the environmental emissions were identified using multiple regression analysis between the process inputs and environmental emissions. Optimum combination of the end-of-pipe technologies for treating the environmental emissions considering economic aspects was made using the linear programming technique. The cement manufacturing processes in Korea and the EU producing same type of cement were chosen for the case study. Environmentally problematic input/environmental emissions of the domestic cement manufacturing processes include coal, dust, and $SO_x$. Multiple regression analysis among the process inputs and environmental emissions revealed that $CO_2$ emission was influenced most by coal, followed by the input raw materials and gypsum. $SO_x$ emission was influenced by coal, and dust emission by gypsum followed by raw material. Optimization of the end-of-pipe technologies treating dust showed that a combination of 100% of the electro precipitator and 2.4% of the fiber filter gives the lowest cost. The $SO_x$ case showed that a combination of 100% of the dry addition process and 25.88% of the wet scrubber gives the lowest cost. Salient feature of this research is that it proposed a method for identifying environmentally problematic input/environmental emissions of the manufacturing processes, in particular, cement manufacturing process. Another feature is that it showed a method for selecting the optimum combination of the end-of-pipe treatment technologies.

A Study on the Factors Effecting Performance and Correlation in Social Enterprises (사회적기업의 성과 영향요인과 상관관계에 관한 연구)

  • Kim, Hee-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.7
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    • pp.342-349
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    • 2017
  • The purpose of this study is to empirically analyze factors which influence social and economic performance of social enterprises, and to examine the correlation of factors affecting social and economic performance. This study was conducted following the hypothesis that the organizational characteristics(organizational type, certification type, certification year, social service supply type, and external grants) of social enterprises affect social and economic performance, and that significant correlation exists between social and economic performance. This study collected the disclosure materials of 219 social enterprises certified between 2007- 2014 from the directory of the Korean Social Enterprise Promotion Agency. The study results are as follows: First, organizational characteristics affect social performance(i.e. jobs for the vulnerable classes). In addition, certification year and external grants had a positive effect on social performance. Second, the organizational characteristics affect the economic performance(i.e. sales), and certification year and external grants had a positive effect on economic performance. However, organizational type had a negative effect on the economic performance(i.e. sales). Third, analysis found a positive correlation of factors affecting social and economic performance. This study suggests the need to diversify support policies according to the number of authentication years in order to promote self-reliance and sustainability by maximizing the social and economic performance of social enterprises.

Relation between Leisure Sports' Activities among Older Adults on Activities of Daily Living and Successful Aging (노인의 여가스포츠 활동참가와 일상생활수행능력 및 성공적 노화의 관계)

  • Kim, Kyong-Sik;Lee, Eun-Joo
    • The Journal of the Korea Contents Association
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    • v.10 no.4
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    • pp.424-432
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    • 2010
  • The purpose of this study was to analyse relationship between leisure sports' activities among older adults on activities of daily living and successful aging. For accomplish this purpose of study, the survey questionnaires were used to collect data. This study firstly set up the population as the Korean elderly who were aged over 65 and living at Seoul as of 2009, 300 persons were chosen by sampling. The numbers, used in actual analysis is leisure sports' activities participant 162, non participant 128. total 300. The statistics method utilized in this study for analyzing the collected data were ANCOVA analysis, multiple regression analysis, path analysis. Activities of daily living reliability is $\alpha$=.876 above and successful aging reliability is $\alpha$=.807 above. The conclusions of this study were as being follows. First, according to the experience of in leisure sports' activities of older adults, it was not difference between the activities of daily living. Secondly, the experience of in leisure sports' activities of older adults had positive effect on successful aging. Thirdly, more intensity of in leisure sports' activities of older adults, had positive effect on instrumental activities of daily living. Fourth, more frequency and intensity of in leisure sports' activities of older adults, had positive effect on social successful aging, more frequency and period(time) of participated in leisure sports' activities of older adults, had positive effect on psychological social successful aging. Finally, the degree of in leisure sports' activities of older adults, had direct or indirect positive effect on activities of daily living and successful aging.

An Empirical Analysis on Determinant Factors of Patent Valuation and Technology Transaction Prices (특허가치 결정요인과 기술거래금액에 관한 실증 분석)

  • Sung, Tae-Eung;Kim, Da Seul;Jang, Jong-Moon;Park, Hyun-Woo
    • Journal of Korea Technology Innovation Society
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    • v.19 no.2
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    • pp.254-279
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    • 2016
  • Recently, with the conversion towards knowledge-based economy era, the importance of the evaluation for patent valuation has been growing rapidly because technology transactions are increasing with the purpose of practically utilizing R&D outcomes such as technology commercialization and technology transfer. Nevertheless, there is a lack of research on determinants of patent valuation by analyzing technology transactions due to the difficulty of collecting data in practice. Hence, to suggest quantitative determinants for the patent valuation which could be applied to scoring methods, 15 patent valuation models domestically and overseas are analysed in order to assure the objectiveness for subjective results from qualitative methods such as expert surveys, comparison assessment, etc. Through this analysis, the important 6 common determinants are drawn and patent information is matched which can be used as proxy variables of individual determinant factors by advanced researches. In addition, to validate whether the model proposed has a statistically meaningful effect, total 517 technology transactions are collected from both public and private technology transaction offices and analysed by multiple regression analysis, which led to significant patent determinant factors in deciding its value. As a result, it is herein presented that patent connectivity(number of literature cited) and commercialization stage in market influence significantly on patent valuation. The meaning of this study is in that it suggests the significant quantitative determinants of patent valuation based on the technology transactions data in practice, and if research results by industry are systematically verified through seamless collection of transaction data and their monitoring, we would propose the customized patent valuation model by industry which is applicable for both strategic planning of patent registration and achievement assessment of research projects (with representative patents).