• Title/Summary/Keyword: Decision Level

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The Investigation of Factors Influencing Consumers' Perceived Risk, and Decision-making to Purchase GMO Food (유전자재조합 식품에 대한 위험인지 및 구매의사여부 영향요인 분석)

  • 허경옥
    • Journal of Families and Better Life
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    • v.21 no.4
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    • pp.69-77
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    • 2003
  • The goal of this study was to examine which factors influence consumers' demands to reveal the identity of GMO(Genetically Modified Organism) food, risk perception, and decision-making to purchase it. Consumers perceived its risk, and demanded labeling to identify it. Not many consumers wanted to buy GMO food. The results also revealed as follows. First, the level of demand to label for identifying GMO food were high among female consumers, consumers with negative attitude, and consumers severly perceived its risk. The level of perceived risk was high among consumers who were old and had high income, exercised their own healthy programs, showed negative attitude toward GMO food, and demanded strongly for labelling. Second, old consumers, consumers with high income, consumers concerning more about health, consumers with negative attitude and strong demand to label for identifying GMO food were more likely to perceive risk highly for GMO food. Third, consumers' attitudes and the level of perceived risks for GMO food significantly influenced the decision-making to purchase GMO food. However, other variables turned out not to affect consumers' decision-making to purchase it.

An Empirical Study on Dividend Initiation Decisions of Firms (기업의 배당개시결정에 관한 실증적 연구)

  • Shin, Min-Shik;Song, Joon-Hyup
    • The Korean Journal of Financial Management
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    • v.24 no.4
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    • pp.135-161
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    • 2007
  • In this paper, we study empirically the dividend initiation decisions of IPO firms listed on Korea Securities Market and KOSDAQ Market. Specifically, we study three aspects of dividend initiation decision, (a) dividend initiation decision, (b) dividend level decision, (c) time-to-initiation decision. The main results of this study can be summarized as follows. First, determinants suggested by the major theories of dividends, namely, residual dividend, dividend signaling, agency, catering, and transactions cost theory explain significantly the dividend initiation decision. Second, determinants suggested by the major theories of dividends explain significantly the dividend level decision. So to speak, most of the findings for dividend initiation decision also hold for the dividend level decision. Third, most of the factors that increase(decrease) the probability of dividend initiation reduce(increase) the time-to-initiation. Almost of the dividend initiation firms start paying dividends within two years of the IPO. Thus, if IPO firm does not initiate dividend early in the life of the firm, then it is highly likely that it will never initiate dividend.

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Improved Decision Tree-Based State Tying In Continuous Speech Recognition System (연속 음성 인식 시스템을 위한 향상된 결정 트리 기반 상태 공유)

  • ;Xintian Wu;Chaojun Liu
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.6
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    • pp.49-56
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    • 1999
  • In many continuous speech recognition systems based on HMMs, decision tree-based state tying has been used for not only improving the robustness and accuracy of context dependent acoustic modeling but also synthesizing unseen models. To construct the phonetic decision tree, standard method performs one-level pruning using just single Gaussian triphone models. In this paper, two novel approaches, two-level decision tree and multi-mixture decision tree, are proposed to get better performance through more accurate acoustic modeling. Two-level decision tree performs two level pruning for the state tying and the mixture weight tying. Using the second level, the tied states can have different mixture weights based on the similarities in their phonetic contexts. In the second approach, phonetic decision tree continues to be updated with training sequence, mixture splitting and re-estimation. Multi-mixture Gaussian as well as single Gaussian models are used to construct the multi-mixture decision tree. Continuous speech recognition experiment using these approaches on BN-96 and WSJ5k data showed a reduction in word error rate comparing to the standard decision tree based system given similar number of tied states.

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Major satisfaction and career decision level of students in dept. of Home Economics Education (가정교육과 학생들의 학과만족도와 진로결정수준)

  • Shin, Hye Won
    • Journal of Korean Home Economics Education Association
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    • v.25 no.1
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    • pp.55-66
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    • 2013
  • The purposes of this study were to examine major satisfaction and career decision level of Home Economics Education major college students, to investigate factors influencing on major satisfaction and career decision level, and to provide basic informations for career counseling. A survey was conducted to students majoring Home Economics Education at four universities, and students majoring Korean Language Education and Mathematics Education at one same university in Seoul from October to November, 2011. General satisfaction in major of Home Economics Edu. students was above average, but social perception satisfaction was low. The social perception satisfaction was lower for Home Economics edu. students than Korean Language edu. and Mathematics edu. students. There were significant differences in major satisfaction by university and class standing, but no significant difference by gender. Students showed the lowest value in Home Economics teacher as considering job, and most of students considered teacher and major unconcerned job. Students considering major concerned job showed higher major satisfaction compared to students considering major unconcerned job. Career decision level was medium and there were not significant differences in career decision level by major, university, class standing, gender, considering job. Career decision level was affected positively by only general satisfaction in major.

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Inventory Control Policies for a Hospital Blood Bank: A Simulation and Regression Approach (병원의 혈액 재고관리를 위한 평가 모형 : 시뮬레이션 및 회귀분석 방법)

  • Suh, Jeong-Dae
    • IE interfaces
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    • v.10 no.1
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    • pp.119-134
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    • 1997
  • The management of blood inventory is very important within the medical care system. The efficient management of blood supplies and demands for transfusions is of great economic and social importance to both hospitals and patients. For any blood type, there is a complex interaction among the optimal inventory level, daily demand level, daily supply level, transfusion to crossmatch ratio, crossmatch release period, issuing policy and the age of arriving units that determine the shortage and outdate rate. In this paper, we develop an efficient decision rule for blood inventory management in a hospital blood bank which can support efficient hospital blood inventory management using simulation. The primary use of the efficient decision rule will be to establish minimum cost function which consists of inventory levels, period in inventory, outdate and shortage rate for whole blood and various component inventories for a hospital blood bank or a transfusion service. If the administrator compute the mean daily demand for each blood type, the mean daily supply for each blood type, the length of the crossmatch release period and the average transfusion to crossmatch ratio, then it is possible to apply the efficient decision rule to compute the optimal inventory level, inventory period, outdate and shortage rate. This rule can also be used as a decision support system that allows the blood bank administrator to do sensitivity analysis related to controllable blood inventory parameters.

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The study on Decision Tree method to improve land cover classification accuracy of Hyperspectral Image (초분광영상의 토지피복분류 정확도 향상을 위한 Decision Tree 기법 연구)

  • SEO, Jin-Jae;CHO, Gi-Sung;SONG, Jang-Ki
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.3
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    • pp.205-213
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    • 2018
  • Hyperspectral image is more increasing spectral resolution that Multi-spectral image. Because of that, each pixel of the hyperspectral image includes much more information and it is considered the most appropriate technic for land cover classification. but recent research of hyperspectral image is stayed land cover classification of general level. therefore we classified land cover of detail level using ED, SAM, SSS method and made Decision Tree from result of that. As a result, the overall accuracy of general level was improved by 1.68% and the overall accuracy of detail level was improved by 5.56%.

A Study on the Relation between Husband and Wife's Self-Actualization and Joint Decision-Making (자아실현성과 공동의사결정에 관한 연구 - 남편과 부인을 중심으로)

  • 김성희;문숙재
    • Journal of Families and Better Life
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    • v.7 no.2
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    • pp.163-178
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    • 1989
  • This study was mainly concerned providing a basic of data for the more reasonable home management. The purpose study was to investigate the relationship of husbands and wives self-actualization and degree of joint decision-making. For the purpose of this study 500 questionaire were distributed to the marital in seoul. The 412 data were analized by Frequency, Percentage, T-test, ANOVA, Scheffe-test. The major findings of this study were as follows: 1) Over one and half of husbands and wives are try to be self-actualized. 2) The tendency of the husbands and wives decision-making was joint decision-making. 3) The important influential variables on the husbands and wives self-actualization husbands were age, life-cycle, job employment motivation. And wives were life-cycle, education, income, job, employment motivation. 4) The important influential variables on the joint decision-making were age, number of child, life-cycle. 5) A marital joint decision-making level differs significantly, according to the degree of husbands and wives self-actualization. The higher level of husbands and wives self-actualization, the higher degree of marital joint decision-making. The result of this study implies that a marital joint-making necessary in order to carry on happy home management and the reasonable home administration.

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Professional Autonomy and Clinical Decision Making Ability in Clinical Nurses (임상간호사의 전문직 자율성과 임상적 의사결정능력과의 관계)

  • Sung, Mi-Hae;Eum, Ok-Bong
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.17 no.2
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    • pp.274-281
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    • 2010
  • Purpose: The purpose of this study was to identify the correlation between level of professional autonomy and clinical decision making abilities in clinical nurses, and to provide basic information for promoting competency nurses in making independent decisions. Method: Data were collected from July 1 to July 18, 2008, and participants were 202 clinical nurses in general hospitals. Collected data were analyzed using descriptive statistics: frequency and percentage and Pearson correlation coefficients with the SPSS WIN 14.0 program. Results: The professional autonomy index for the nurses was 159.63 points. The clinical decision making ability index was 119.79 points. The most highly ranked factor in clinical decision making was search for information and unbiased assimilation of new information. There was a statistically significant difference in professional autonomy according to age, clinical experience, and type of duty. Relation between level of professional autonomy and clinical decision making showed a positive correlation. Conclusion: As a results show a significant correlation between professional autonomy and clinical decision making in clinical nurses, improvement in professional autonomy of clinical nurses, would be promoted through continuous support and training.

Classification of Brain Magnetic Resonance Images using 2 Level Decision Tree Learning (2 단계 결정트리 학습을 이용한 뇌 자기공명영상 분류)

  • Kim, Hyung-Il;Kim, Yong-Uk
    • Journal of KIISE:Software and Applications
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    • v.34 no.1
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    • pp.18-29
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    • 2007
  • In this paper we present a system that classifies brain MR images by using 2 level decision tree learning. There are two kinds of information that can be obtained from images. One is the low-level features such as size, color, texture, and contour that can be acquired directly from the raw images, and the other is the high-level features such as existence of certain object, spatial relations between different parts that must be obtained through the interpretation of segmented images. Learning and classification should be performed based on the high-level features to classify images according to their semantic meaning. The proposed system applies decision tree learning to each level separately, and the high-level features are synthesized from the results of low-level classification. The experimental results with a set of brain MR images with tumor are discussed. Several experimental results that show the effectiveness of the proposed system are also presented.

A Study on the Factors of Career Decision-making and the Moderating Effects of Personality Types (경력결정요인과 성격유형의 조절효과에 관한 연구 - 문헌정보학과 학생들을 중심으로 -)

  • Choi, Byung-Woo;Choi, Jung-Hee;Kim, Hyong-Gi
    • Journal of Korean Library and Information Science Society
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    • v.39 no.3
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    • pp.53-71
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    • 2008
  • This study attempts to analyse factors that influence the level of career decision for prospective librarians. To this end, an empirical study was conducted on the students from the department of Library & Information Science at universities located in Seoul, Gyeong Gi and Chung Cheong Areas. Exogenous variables included curriculum, career-related departmental activities, and librarian-related institutional factors. The result of analysis using the Structural Equation Model reveals that career-related departmental activities are preceding factors which affect the level of career decision and that personality types function as a modulator. This suggests that, in order to raise the career decision level, prospective librarians need to participate in career-related departmental activities, which make it easier to share information regarding career and thus enhance the level of career. Such career-related departmental activities include participating in job-oriented circles and career-consulting programs, communicating with seniors, and operating and joining career programs. Further organizational and institutional development is required : better curriculum, improved practical ability and qualifications as librarians. This study also discusses its limits and areas for future research.

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