• Title/Summary/Keyword: 의사결정 정보

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Analysis of Characteristics of Medical Accidents and Disputes in Orthodontic Area (교정과영역의 의료사고 및 분쟁의 성격분석)

  • Hwang, Chung-Ju
    • The korean journal of orthodontics
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    • v.29 no.1 s.72
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    • pp.1-22
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    • 1999
  • As people are more concerned about their health and medical care, there have been an increasing number of medical disputes due to increased medical demand. In order to prevent and provide solution to currently surging medical accidents and disputes related to orthodontic treatment, in July 1998, the Korean Association Of Orthdontists surveyed 2,200 members of Korean Association of orthodontists on 30 items to recognize the pattern of medical accidents and prevent them. The survey was about accident-related items including personal profiles of members and patients who have undergone medical accidents or disputes, the cause and solution to the accidents, cautions related to members orthodontic treatment, and medical recording and archival. Based on the survey result, we analyzed characteristics of medical accidents and disputes in orthodontic area. It is more important to predict and prevent possible medical accidents or disputes based on current situation than to solve them after disputes occur. For this, we should not be negligent in raising treatment proficiency level based on patient-doctor trust and in obtaining new medical information. We should also provide medical environment where Patients themselves can decide whether to get treatment after they are offered detailed explanation on diagnosis, treatment procedure, complication, and possible hazard. We should take caution when treating patients and pay attention to charting and maintenance, which is the most fundamental, as well. Also at the Korean Association of orthodontists level, it is desired to provide education program on prevention and solution to medical accidents and disputes, and actions and organizations that can help when accidents and disputes occur.

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A Study on the Prediction of Referral Intension based on Customer Satisfaction in Construction Management (CM에서 고객만족도에 기반한 추천의향 예측에 관한 연구)

  • Jeong, Min;Lee, Ghang
    • Korean Journal of Construction Engineering and Management
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    • v.11 no.6
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    • pp.100-110
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    • 2010
  • The main roots of CM service contracts include existing customer repurchases and those made by new customers by existing ones. The study on customers and loyalty can be factors to strengthen CM's competitiveness. However, there have been little attempt to study customer satisfaction and customer loyalty. Construction Management (CM), the advanced construction management method, was introduced 15 years ago in the mid 1990's in the domestic market. The aim of this research is to build a model that can predict customer loyalty based on how much customers are satisfied with CM service. To measure customer satisfaction and loyalty, this research surveyed 135 decision-makers who have experienced CM services. Customer satisfaction was tested and analyzed according to different phases: planning, designing, procurement, construction, and post construction. Referral intention was tested based on NPS theory. Customer types were divided into detractors, passively satisfied and promoters according to the tested measurement and multinomial logistic regression between the satisfaction by construction phases and customer types. This research resulted to a model that can predict customer types: detractors, passively satisfied and promoters, which were determined according to satisfaction level. The initial planning phase also revealed which factor is most influential for a customer to become promoter. These results can be used to acquire customer loyalty by managing the satisfaction of customers through a project under an Internet-based environment. Such can provide the needed information in quickly exploring positive and negative word-of-mouth feedbacks.

A Comparison Between Music and Non-music Conditions in Reciprocal Attention Intervention for Improving Joint Attention Behaviors of Children With Autism Spectrum Disorder (자폐범주성장애 아동의 공동주의 기술 향상을 위한 단계적 상호 주의 중재효과: 음악 조건과 비음악 조건 비교)

  • Jeong, Pil Eun
    • Journal of Music and Human Behavior
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    • v.14 no.2
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    • pp.19-43
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    • 2017
  • This study aimed to examine the effects of a reciprocal attention intervention on the joint attention behaviors of children with autism spectrum disorder (ASD) by comparing the music and nonmusic conditions. An alternating treatment design was applied as one of the single subject designs and the reciprocal attention intervention included music and nonmusic conditions implemented alternately within a session. The participants were four children between the ages 4 and 5 years and each participant who participated in 23 intervention sessions that followed the sequence of baseline (3 sessions), treatment (15 sessions), and follow-up (5 sessions). The music condition consisted of structured joint instrument playing, trials for attentional shift, and interactive instrument playing. The nonmusic condition consisted of joint toy play, trials for attentional shift, and turn taking-based play. The occurrence of target behaviors (i. e., joint attention behavior, eye gaze, and joint action) was analyzed across sessions. At pretest and posttest, the Early Social Communication Scale was administered. All participants showed increasing tendency in all target behaviors, but such occurrence was greater in the music condition than in the nonmusic condition. The findings support the use of a reciprocal attention intervention with musical stimuli to effectively improve joint attention in this population.

Development of Prediction Model of Financial Distress and Improvement of Prediction Performance Using Data Mining Techniques (데이터마이닝 기법을 이용한 기업부실화 예측 모델 개발과 예측 성능 향상에 관한 연구)

  • Kim, Raynghyung;Yoo, Donghee;Kim, Gunwoo
    • Information Systems Review
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    • v.18 no.2
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    • pp.173-198
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    • 2016
  • Financial distress can damage stakeholders and even lead to significant social costs. Thus, financial distress prediction is an important issue in macroeconomics. However, most existing studies on building a financial distress prediction model have only considered idiosyncratic risk factors without considering systematic risk factors. In this study, we propose a prediction model that considers both the idiosyncratic risk based on a financial ratio and the systematic risk based on a business cycle. Ultimately, we build several IT artifacts associated with financial ratio and add them to the idiosyncratic risk factors as well as address the imbalanced data problem by using an oversampling technique and synthetic minority oversampling technique (SMOTE) to ensure good performance. When considering systematic risk, our study ensures that each data set consists of both financially distressed companies and financially sound companies in each business cycle phase. We conducted several experiments that change the initial imbalanced sample ratio between the two company groups into a 1:1 sample ratio using SMOTE and compared the prediction results from the individual data set. We also predicted data sets from the subsequent business cycle phase as a test set through a built prediction model that used business contraction phase data sets, and then we compared previous prediction performance and subsequent prediction performance. Thus, our findings can provide insights into making rational decisions for stakeholders that are experiencing an economic crisis.

The Sociological Antecedents of Brand Attachment: A comparison of Broadcasting and Passive Consumption on Social Networking Sites (상표 애착의 사회적 선행변수에 대한 연구)

  • Shin, Jong-Kuk;Park, Min-Sook;Ross, Corey Allen
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.159-170
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    • 2016
  • In this study, the authors examine the ways in which social media ultimately affects the attachment of individuals to their favorite brands. Through an analysis of data using multiple linear regression, this study finds that SNS (social networking site) users that post status updates for a wide audience have no bearing on the individual's use of socialization agents. Those who consume social news passively are, however, likely to depend on socialization agents for determining their final purchase decisions. Socialization agents, both personal and non-personal, also play a role in the formation of brand attachment among individuals who depend on these social sources. Based on these results, marketers are encouraged to establish an online footprint of a social nature to formulate brand awareness and to provide a means for users of social media to improve their brand attachments to their favored brands. As this research was conducted exclusively in the predominantly collective culture of South Korea, further studies could attempt to analyze social networking use and socialization agent use via a cross-culture study, particularly one including an individualistic culture.

Spatial Location Modeling for the Efficient Placements of the Super WiFi Facilities Utilizing White Spaces (화이트 스페이스를 활용한 슈퍼 와이파이 시설의 효율적 배치를 위한 공간 입지 모델링)

  • Lee, Gunhak;Kim, Kamyoung
    • Journal of the Korean Geographical Society
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    • v.48 no.2
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    • pp.259-271
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    • 2013
  • This paper addresses the efficient facility placements to adopt a super WiFi network, taking significant considerations as the next generation 'information highway'. Since the super WiFi has a wider geographic coverage by utilizing the white spaces of TV broadcasting which are empty and available frequencies for the wireless communications, it would play an important role in releasing digital divide of the internet access for low populated or mountainous areas. The purpose of this paper is to explore systematic and efficient spatial plans for the super WiFi. For doing this, we applied optimal location covering models to Gurye-gun, Jeonlanamdo. From the application, we presented optimal locations for super WiFi facilities and significant analytical results, such as the tradeoff between the number of facilities and coverage and marginal coverage for establishing super WiFi network. The results of this research would be usefully utilized for decision makers who wish to adopt a super WiFi, to extend wireless networks in a city or build a regional infrastructure of wireless facilities.

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The effect of Meister high school students' career maturity with respect to the impact on school maladjustment (마이스터고등학교 학생들의 진로성숙도가 학교 부적응에 미치는 영향)

  • Yoo, Jae-Man;Lee, Byung-Wook
    • 대한공업교육학회지
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    • v.41 no.2
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    • pp.1-23
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    • 2016
  • This study was conducted to analyze the effect Meister high school students' career maturity with respect to the impact on school maladjustment. Also, this study clarify the relationship. This study purpose is to permanently provide Meister as the basis for the vocational education sector career education needed to faithfully serve as a special purpose high schools. Tools used for the survey is maladaptive measurement tools developed by Leegyumi (2004) and Career maturity measurement tools developed at Korea Research Institute for Vocational Education and Training (2012). Using these tools, a reliability test was conducted. Meister students' career maturity was conducted correlation analysis and multiple regression analysis to analyze the impact of school maladjustment. Independent variables are consisted of career maturity and independence, attitude toward the job, planning, self-understanding, rational decision-making, information retrieval, knowledge of the desired job, career exploration and ready for action. Meister high school student's career maturity according to the students' background variables are little girls was higher than boys, but it was not statistically significant. T-test was conducted to ascertain the career maturity and school maladjustment differences of adaptation groups and maladaptive group in meister school students in background variables. A career maturity and school maladjustment between adaptive and maladaptive population groups showed a statistically significant difference in background variables.

A Study on the Systematic Integration of WASP5 Water Quality Model with a GIS (GIS와 WASP5 수질모델의 유기적 통합에 관한 연구)

  • 최성규;김계현
    • Spatial Information Research
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    • v.9 no.2
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    • pp.291-307
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    • 2001
  • In today's environmental engineering practice, many technologies such as GIS have been adopted to analyze chemical and biological process in water bodies and pollutants movements on the land surface. However, the linkage between spatially represented land surface pollutants and the in-stream processes has been relatively weak. This lack of continuity needs to develop a method in order to link the spatially-based pollutant source characterization with the water quality modeling. The objective of this thesis was to develop a two-way(forward and backward) link between ArcView GIS software and the USEPA water quality model, WASP5. This thesis includes a literature review, the determination of the point source and non-point source loadings from WASP5 modeling, and the linkage of a GIS with WASP5 model. The GIS and model linkage includes pre-processing of the input data within a GIS to provide necessary information for running a model in the forms of external input files. The model results has been post-processed and stored in the GIS database to be reviewed in a user defined form such as a chart, or a table. The interface developed from this study would provide efficient environment to support the easier decision making form water quality management.

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The Use of Satellite Image for Uncertainty Analysis in Flood Inundation Mapping (홍수범람도 불확실성 해석을 위한 인공위성사진의 활용)

  • Jung, Younghun;Ryu, Kwanghyun;Yi, Choongsung;Lee, Seung Oh
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.2
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    • pp.549-557
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    • 2013
  • An flood inundation map is able to convey spatial distribution of inundation to a decision maker for flood risk management. A roughness coefficient with unclear values and a discharge obtained from the stage-discharge rating equation are key sources of uncertainty in flood inundation mapping by using a hydraulic model. Also, the uncertainty analysis needs an observation for the flood inundation, and satellite images is useful to obtain spatial distribution of flood. Accordingly, the objective of this study is to quantify uncertainty arising roughness and discharge in flood inundation mapping by using a hydraulic model and a satellite image. To perform this, flood inundations were simulated by HEC-RAS and terrain analysis, and ISODATA (Iterative Self-Organizing Data Analysis) was used to classify waterbody from Landsat 5TM imagery. The classified waterbody was used as an observation to calculate F-statistic (likelihood measure) in GLUE (Generalized Likelihood Uncertainty Estimation). The results from GLUE show that flood inundation areas are 74.59 $km^2$ for lower 5 % uncertainty bound and 151.95 $km^2$ for upper 95% uncertainty bound, respectively. The quantification of uncertainty in flood inundation mapping will play a significant role in realizing the efficient flood risk management.

Development of Bivalve Culture Management System based on GIS for Oyster Aquaculture in GeojeHansan Bay (거제한산만 굴 양식장에 대한 GIS 기반 어장관리시스템 개발)

  • Cho, Yoon-Sik;Hong, Sok-Jin;Kim, Hyung-Chul;Choi, Woo-Jeung;Lee, Won-Chan;Lee, Suk-Mo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.16 no.1
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    • pp.11-20
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    • 2010
  • Oyster production is playing an important role in domestic aquaculture, but facing some problems such as exports decrease, a slowdown in domestic demand and marine environmental deterioration. In order to obtain the suitable and sustainable oyster production, suitable sites selection is an important step in oyster aquaculture. This study was conducted to identify the suitable sites for lunging culture of oyster using Geographic Information System(GIS)-based multi-criteria evaluation methods. Most of the parameters were extracted by Inverse Distance Weighted(IDW) methods in GIS and eight parameters were grouped into two basic sub-models for oyster aquaculture, namely oyster growth sub-model(Sea Temperature, Salinity, Hydrodynamics, Chlorophyll-a) and environment sub-model(Bottom DO, TOC, Sediment AVS, Benthic Diversity). Suitability scores were ranked on a scale from 1(leased suitable) and 8(most suitable), and about 80.1% of the total potential area had the highest scores 5 and 6. These areas were shown to have the optimum condition for oyster culture in GeojeHansan Bay. This method to identify suitable sites for oyster culture may be used to develop bivalve culture management system for supporting a decision making.