• Title/Summary/Keyword: Statistical Decision Making

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Decision Maker's Personality Type and Risk Attitude (의사결정자의 성격유형과 위험성향)

  • 강태건;조성구
    • Journal of the Korean Operations Research and Management Science Society
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    • v.21 no.2
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    • pp.1-16
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    • 1996
  • The personality types developed by Gustav Jung are frequently used to identify peopl's decision-making style, especially to determine which functions are dominant ones in the perception and the processing of information. In this paper, the Jungian typology is utilized to investigate if there are any systematic relations between an individual's personality type and her/his attitude toward risk. For this purpose, an experiment was conducted where 99 subjects, mostly students, participated in a computer-simulated horse racing game. Each subject's risk-seeking propensity was measured by the winning chance of the selected horse and the amount of stakes. The results of the experiment show that a decision-maker who is extrovert (E) is attitude and intutive(N) in perception of information is more likely to be risk prone than the introvert(I) and sensing(S) type. Feeling(F) function in information processing seems to induce more risk seeking attitude than thinking (T) function, but the statistical significance could not be found from the data, for this statement.

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A Study on the Attributes determining the Extent of Autonomy in Decision Making for Korean Subsidiaries of Multinational Corporations - Focused on Semiconductor Industry Related Companies - (다국적기업 한국자회사의 의사결정 자율성에 영향을 미치는 요인에 관한 연구 -반도체산업 관련기업체를 중심으로-)

  • Chung, Nak-Kyung;Kim, Hong
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.3 no.4
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    • pp.1-41
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    • 2008
  • The Korean semiconductor industry has made a great contribution to growth of Korean economy for the last decades by maintaining a top position in terms of Korean total annual export volume. However, the advanced semiconductor equipment and materials that are used for the production of semiconductor devices still depend on the suppliers from Europe, Japan, and America who have an influential position in the Korean semiconductor industry. The objective of this study is to empirically investigate the attributes determining the extent of autonomy in decision making for the Korean subsidiaries of multinational corporations in the semiconductor industry. This study found there were differences in the extent of autonomy in decision making in terms of the global strategies the multinational corporations pursue. This study surveyed employees at the Korean subsidiaries and joint venture companies of semiconductor multinational corporations and collected 726 survey questionnaires. Several statistical analyses including frequency analysis, reliability analysis, factor analysis, multiple regression analysis and ANOVA were performed using the collected sample data. Based on the analyses, this study found as follows: Firstly, from the factor analysis, this study found Korean subsidiaries faced three sources of uncertainties stemmed from political conditions, competent conditions, demand and supply conditions. The internal resources were characterized by the independencies of production capability, financial capability, marketing capability and human resource management capability. The operational performance was determined by total revenue, net profit and market share growth. Secondly, it was found the uncertainties from political condition and competent condition and the independencies of financial capability and marketing capability partially influenced the extent of autonomy in decision making. The independencies of production capability and human resource management capability significantly influenced the autonomy of decision making in the most areas. It was also found an increase of total revenue, net profit and market share growth partially affected the extent of autonomy in decision making of the Korean subsidiaries. Finally, it was found that the polycentrism of global management by multinational corporations seemed to bring a higher extent of autonomy in decision making than ethnocentrism or geocentrism of global management. Based on the results, this study provided managerial implications regarding the extent of autonomy in decision making for Korean subsidiaries of multinational corporations in order to help management to enhance their business capabilities.

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A Study on the Attributes determining the Extent of Autonomy in Decision Making for Korean Subsidiaries of Multinational Corporations - Focused on Semiconductor Industry Related Companies - (다국적기업 한국자회사의 의사결정 자율성에 영향을 미치는 요인에 관한 연구 -반도체산업 관련기업체를 중심으로-)

  • Chung, Nak-Kyung;Kim, Hong
    • 한국벤처창업학회:학술대회논문집
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    • 2008.11a
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    • pp.135-168
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    • 2008
  • The Korean semiconductor industry has made a great contribution to growth of Korean economy for the last decades by maintaining a top position in terms of Korean total annual export volume. However, the advanced semiconductor equipment and materials that are used for the production of semiconductor devices still depend on the suppliers from Europe, Japan, and America who have an influential position in the Korean semiconductor industry. The objective of this study is to empirically investigate the attributes determining the extent of autonomy in decision making for the Korean subsidiaries of multinational corporations in the semiconductor industry. This study found there were differences in the extent of autonomy in decision making in terms of the global strategies the multinational corporations pursue. This study surveyed employees at the Korean subsidiaries and joint venture companies of semiconductor multinational corporations and collected 726 survey questionnaires. Several statistical analyses including frequency analysis, reliability analysis, factor analysis, multiple regression analysis and ANOVA were performed using the collected sample data. Based on the analyses, this study found as follow: Firstly, from the factor analysis, this study found Korean subsidiaries faced three sources of uncertainties stemmed from political conditions, competent conditions, demand and supply conditions. The internal resources were characterized by the independencies of production capability, financial capability, marketing capability and human resource management capability. The operational performance was determined by total revenue, net profit and market share growth. Secondly, it was found the uncertainties from political condition and competent condition and the independencies of financial capability and marketing capability partially influenced the extent of autonomy in decision making. The independencies of production capability and human resource management capability significantly influenced the autonomy of decision making in the most areas. It was also found an increase of total revenue, net profit and market share growth partially affected the extent of autonomy in decision making of the Korean subsidiaries. Finally, it was found that the polycentrism of global management by multinational corporations seemed to bring a higher extent of autonomy in decision making than ethnocentrism or geocentrism of global management. Based on the results, this study provided managerial implications regarding the extent of autonomy in decision making for Korean subsidiaries of multinational corporations in order to help management to enhance their business capabilities.

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Relationship among Variables of Affecting Career Decision Making in the Science-Gifted Undergraduates (대학생 과학영재의 진로결정에 영향을 미치는 변인간의 관계)

  • Yang, Tae-Youn;Han, Ki-Soon
    • Journal of Gifted/Talented Education
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    • v.20 no.3
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    • pp.921-946
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    • 2010
  • The purpose of this study is to devise a model of career decision in the science-gifted by exploring factors of having influence upon career decision in the science-gifted undergraduates of our country, and by examining pattern and path of career decision. By suggesting a model of structure, which synthetically considered factors of parents (parental social support), school (stress of college life, adjustment to college life), and individual characteristics(problem solving ability, career decision-making self-efficacy, conviction for major selection)as for career decision in the science-gifted undergraduates through this study, the aim was to arrange the theoretical frame for career in the science-gifted undergraduates. The research subjects were 93(class of 2007~2009) students who completed education in 2002 and 2003 at the gifted education center affiliated with University, and 264 scholarship students(class of 2005-2008) by the President at home and abroad, who are receiving scholarship by being selected as a science scholarship student by the incumbent President. The measurement tools, which were used in this study for collecting data, are test of parental social support, test of problem-solving ability, test of stress in college life, test of adjustment to college life, test of efficacy in career decision, and test of having confidence in selecting a major. For statistical analysis of the collected data, SPSS Program and AMOS Program were used. As a result, the model showed a good fit to the present data in the science-gifted undergraduates, TLI=.928, CFI=.941, RMSEA=.059. It was confirmed to be a model that is accepted in the group of the science-gifted undergraduates. Also, hypotheses, which were established on the basis of a theoretical quest, could be known to have been all adopted except one path. The results of this study can be offered as basic data for developing program and implementing a system in order to broaden the width of understanding about career and to help the career decision in the science-gifted.

The Difference of Growth Environment and High School Students' Career Decision Making (고등학생의 성장환경에 따른 진로의사결정의 유형과 자기효능감의 차이)

  • Kim, Jin-Hee;Paik, Sun-Ah
    • Journal of Korean Home Economics Education Association
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    • v.25 no.1
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    • pp.1-14
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    • 2013
  • The purpose of the study was investigated on that whether there was any statistical difference or not in terms of the career decision making according to the growth environment of High school students. The researcher surveyed 600 questionnaires for high school students and was using 539 questionnaires in the final analysis. They were analyzed by cluster analyses according to the growth environment scale and it classified into two cluster groups. The cluster group A and B had a significant difference on scores of the growth environment scale. The group A had more interested in activities such as political, social, intellectual, and cultural ones and participated at social and leisure activities. Moreover, the group was emphasis on moral and religious values. The group B got the higher score than group A about the score of the rational type of the career decision making: the group A got the higher score than the group B to the score of the dependent type. On the matter of the job information collection sub-scale, the group A got the higher score than the group B: the group A scored higher points than group B about the goal establishment and the self-estimate sub-scales. Therefore, in order to do the career-guidance of youths, each family had to provide positive growth environment which required various stimuli and affluent in experience settings for them to mature.

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Development and Application of Robust Decision Making Technique Considering Uncertainty of Climatic Change Scenarios (기후변화 시나리오의 불확실성을 고려하기위한 로버스트 의사결정 기법의 개발 및 적용)

  • Jun, Sang-Mook;Chung, Eun-Sung;Lee, Sang-Ho;Kim, Yeonjoo
    • Journal of Korea Water Resources Association
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    • v.46 no.9
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    • pp.897-907
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    • 2013
  • Climate change is expected to worsen the depletion of streamflow in urban watershed. In this study, we therefore considered the treated wastewater (TWW) use as an adaptation strategy and devised a framework to identify prioritized areas for TWW use. An integrated framework that includes hydrological factors as well as social and environmental components were employed to determine the criteria for decision making. Fuzzy theory was employed to consider the uncertainties in the climate change scenarios and the weights of the performance value. All alternatives were evaluated using the fuzzy TOPSIS method. In addition, statistical method and decision making methods under complete uncertainty were used for robust decision making. As a result, ranking the alternatives using the fuzzy TOPSIS method and robust approach such as maximin, maximax, Hurwicz and equal likelihood criterion mitigated the level of uncertainty and ambiguity in each alternative. The finding of this study can be helpful in prioritizing water resource management projects considering various climate change scenarios.

Portfolio Management Using Statistical Process Control Chart (SPC 차트를 이용한 포트폴리오 관리)

  • Kim, Dong-Sup;Ryoo, Hong-Seo
    • IE interfaces
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    • v.20 no.2
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    • pp.94-102
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    • 2007
  • Portfolio management deals with decision making on 'when' and 'how' to revise an existing portfolio. In this paper, we show that a classical statistical process control (SPC) chart for normal data, a wellestablished tool in quality engineering, can effectively be used for signaling times for revising a portfolio. Noting that the day-to-day performance of a portfolio may be auto-correlated, we use the exponentially weighted moving average center-line chart to develop an automatic portfolio management procedure. The portfolio management procedure is extensively tested on historical data of equities traded in the Korea Exchange (KRX), the American Stock Exchange (AMEX), and the New York Stock Exchange (NYSE). In comparison with the performances of the KOSPI, XAX, and NYA indices during the same time periods, results from these experiments show that SPC chart-based portfolio revision presents itself a convenient and reliable method for optimally managing portfolios.

Cash flow Forecasting in Construction Industry Using Soft Computing Approach

  • Kumar, V.S.S.;Venugopal, M.;Vikram, B.
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.502-506
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    • 2013
  • The cash flow forecasting is normally done by contractors in construction industry at early stages of the project for contractual decisions. The decision making in such situations involve uncertainty about future cash flows and assessment of working capital requirements gains more importance in projects constrained by cash. The traditional approach to assess the working capital requirements is deterministic in and neglects the uncertainty. This paper presents an alternate approach to assessment of working capital requirements for contractor based on fuzzy set theory by considering the uncertainty and ambiguity involved at payment periods. Statistical methods are used to deal with the uncertainty for working capital curves. Membership functions of the fuzzy sets are developed based on these statistical measures. Advantage of fuzzy peak working capital requirements is demonstrated using peak working capital requirements curves. Fuzzy peak working capital requirements curves are compared with deterministic curves and the results are analyzed. Fuzzy weighted average methodology is proposed for the assessment of peak working capital requirements.

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QUALITY IMPROVEMENT FOR EXPERT BASE WITH CONTROL CHART TECHNIQUES

  • Liu Yumin;Xu Jichao
    • Proceedings of the Korean Society for Quality Management Conference
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    • 1998.11a
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    • pp.189-197
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    • 1998
  • The axiomatic hypothesis of the objective distribution of evaluation subjection will be proposed in this paper. On the basis of that, set up the random response model of the expert evaluation system and the quality control principle of expert base. Under this principle, develop the statistical quality control theory of expert base, further; provide the quality improvement technology for expert base.

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Case History Applications of Reliability Methods in Geotechnical Engineering: Lessons Learned and Future Opportunities

  • Gilbert, R.B.
    • Proceedings of the Korean Geotechical Society Conference
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    • 2006.10a
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    • pp.3-20
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    • 2006
  • The following lessons have been learned from the application of reliability methods in the practice of geotechnical engineering: 1. Establishing Goals Is Important; 2. Mitigating Consequences Can Be Effective; 3. Performance Depends on Systems; 4. Physical Factors Are Important in Statistical Models; 5. Too Much and Too Little Conservatism Are Both Problems; 6. Value of Information Depends on Decision Making; and 7. Effective Communication Is Essential. While the potential for application of reliability methods in the future is unlimited, there are major needs related to each of these lessons that will have to be addressed in order to realize this potential.

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