• Title/Summary/Keyword: Statistical Decision Making

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A Study of The Useful of Techniques for The Organization Development (조직개발을 위한 기법의 유용성에 관한 연구)

  • 정수진;고종식
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.37
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    • pp.279-288
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    • 1996
  • The purpose of this study is to investigate the usefulness of organizational development techniques for the behavioral change of employees and to inform organizational developer useful information for decision making. The scope of this study be limited to the techniques for the individual behavioral change among the organizational development The methodology of this study used the questionaire, and the sampling objected to the white class of manufactures. To verify the hypothesis, statistical methods used are Regression Analysis, T-test, Chi- square.

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Development of Tunnel Management Database System for Korea National Railways (철도 터널 유지관리 데이타베이스 시스템 개발)

  • 황희수;홍선호;박지원;양재성
    • Proceedings of the KSR Conference
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    • 1998.11a
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    • pp.111-118
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    • 1998
  • This paper describes the development of the database system for tunnel management of Korea National Railways. In order to make the system both target independent and accessible by KNR network or modem, authors developed the system as a web-based application using java language and IBM DB2 database. The system includes the searching, reporting, graphical representation and statistical functions for tunnel data, maintenance records and checking records. Later, the system will be extended to include the process for tunnel state rating and maintenace prioritiy decision-making.

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Effects of Heuristic Type on Purchase Intention in Mobile Social Commerce : Focusing on the Mediating Effect of Shopping Value (모바일 소셜커머스에서 휴리스틱 유형이 구매의도에 미치는 영향 : 쇼핑가치의 매개효과를 중심으로)

  • KIM, Jin-Kwon;YANG, Hoe-Chang
    • Journal of Distribution Science
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    • v.17 no.10
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    • pp.73-81
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    • 2019
  • Purpose - The purpose of this study was to examine the effect of the heuristic type of consumers affecting purchase decision making and the intention of shopping value in their relationship to derive mobile social commerce purchase promotion plans. Research design, data, and methodology - A research model was constructed to relate the mediating effect of shopping value between heuristic types and purchase intentions. A total of 233 valid questionnaires were used for analysis for users using mobile social commerce. The statistical program used SPSS 24.0 and AMOS 24.0, and correlation analysis, regression analysis, and 3-step parametric regression analysis were used for the analysis. Results - The results of the analysis showed that representativeness heuristics, availability heuristics, adjustment heuristics, and affect heuristics had a statistically significant effect on the utilitarian value and the hedonic value. On the other hand, affect heuristics among the heuristic types were found to have the greatest influence not only on the utilitarian value but also on the hedonic value. The two types of shopping value were found to be partially mediated between representativeness heuristics and purchase intentions, between adjustment heuristics and purchase intentions, and fully mediated between availability heuristics and purchase intentions, affect heuristics and purchase intentions. Conclusions - These findings suggest that mobile social commerce companies should check in advance how consumer heuristic types affect purchase intentions. In particular, affect heuristics are caused by consumers' emotional mood such as mood or external stimulus being more important to decision making than rational decision making. Therefore, the result of this study suggests that it can be an important factor to secure the competitiveness that the potential customers who access to use mobile social commerce can feel enough fun and enjoyment in the platform provided by the company. It is also worth paying attention to the utilitarian and hedonic values perceived by consumers. This is because the judgment regarding the economic, convenience and important information provided by the mobile social commerce users affects the purchase intention through the trust of the information, past use, and shopping experience displayed on the mobile social commerce platform.

Influences of channel assessment on the usage levels of multi-channels by product category in decision making process for purchasing fashion products (패션상품 구매의사 결정과정에서의 상품유형별 채널평가가 멀티채널 이용도에 미치는 영향)

  • Park, Sung Ryul;Kim, Mi Sook
    • The Research Journal of the Costume Culture
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    • v.24 no.6
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    • pp.803-816
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    • 2016
  • The purposes of this study were to investigate the influences of channel assessments on the usage of multi-channels by product types, and the differences in the usage of multi-channels among product types in buying decision making process for fashion products. Data were collected from 510 consumers in their 20s to 50s with purchasing experiences through multi-channel distribution system and living in Seoul and Kyunggi province; 491 were analyzed after deleting incomplete questionnaires. Factor analysis, multiple regression analysis and one-way ANOVA were used for statistical analysis by using SPSS 18.0. The results were as follows: 5 factors were extracted for channel assessment: utility, accuracy, risk, price benefit and sharing information. Price benefits, utility and sharing information for online channel tended to influence positively on the usage of online channel and online+offline channels. Accuracy and low perceived risk of offline influenced positively on offline and on+offline channel usages. The usage levels of on-line and off-line channels for cosmetics were significantly lower than the usage levels for clothes and accessories on information search, evaluation of alternatives, and purchase stages. Significant differences were also found in the usage levels of multi-channels (on+off-line) on information search and evaluation of alternatives stages. The usage levels of the multi-channels for clothes were the highest followed by those of accessories and cosmetics in order.

Role-relaxed consumption: Consumption related variables as antecedents and fashion consciousness as a consequence (역할완화 소비: 선행변수로서의 소비관련 변수와 결과변수로서의 패션의식)

  • Park, Hye-Jung
    • The Research Journal of the Costume Culture
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    • v.22 no.3
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    • pp.411-430
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    • 2014
  • The purpose of this study is to identify the antecedents and consequence of role-relaxed consumption. Consumption-related variables were considered as antecedents, and fashion-related variable was considered as a consequence. Hedonic consumption, impulse buying, value consciousness, and brand sensitivity were included as consumption-related variables and fashion consciousness was included as a fashion-related variable. It was hypothesized that hedonic consumption, impulse buying, value consciousness, and brand sensitivity influence rolerelaxed consumption and then influence fashion consciousness. Data were gathered by surveying university students in Seoul, using convenience sampling. Two hundred twenty seven questionnaires were used in the statistical analysis, exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. While hedonic consumption, impulse buying, value consciousness, and brand sensitivity were uni-dimensions, role-relaxed consumption and fashion consciousness were multi-dimensions. Factor analysis of role-relaxed consumption revealed two dimensions, 'self-centered decision making' factor and 'importance of intrinsic value' factor. In addition, factor analysis of fashion conscious revealed three dimensions, 'individualism' factor, 'dressing style' factor, and 'appearance' factor. Tests of the hypothesized path show that impulse buying and brand sensitivity negatively influence 'self-centered decision making' and that hedonic consumption and value consciousness negatively influence 'importance of intrinsic value'. While 'self-centered decision making'negatively influence 'dressing style' and 'appearance, 'importance of intrinsic value' negatively influences all factors of fashion consciousness. The implications of these findings and suggestions for future study are also discussed.

Korean Families Eating-out Behavior in Relation to Family Life Cycle (가족생활주기에 따른 가족외식행동의 차이)

  • 유정림;박동연
    • Korean Journal of Community Nutrition
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    • v.7 no.2
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    • pp.188-198
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    • 2002
  • This study was conducted to compare families eating-out behavior in relation to family life cycle in order to provide basic information on nutritional education about eating-out. The data were collected by the survey method from 440 families who lived in apartment complexes in Kyong-ju and Seoul. The structured questionnaire included items about the frequency of eating out, the choice of eating-out menus, the decision maker of the eating-out process, the attitudes toward eating out and the general characteristics of the families. The major results are as follow: 1) In the cafe of telephone delivery service, and eat-in restaurants, the subjects showed statistical significance (p < 0.01). With respect to telephone delivery service, families in Step II used it most frequently, but families in Step I rarely used it. With respect to eat-in restaurants, families in Step II used them most frequently but families in Step IV rarely used them. 2) In all the family life cycle steps, the most favorable menu was fried chicken for take-out type, Chajang noodles, fried chicken and pizza fur telephone delivery, pizza for internet delivery, raw fish and beef for eat-in restaurant, Docbokki, laver rolled rice and ramyun for convenience flood stores. 3) The wife was most influential in making decisions about the take-out type (p < 0.001). In the case of telephone deliveries (p < 0.001), the wife was the most influential in the families of Steps I and II, but the children were the most influential in the families of Steps III and IV. In the case of eat-in restaurants (p < 0.001), the husband had the most effect on the decision-making process. In the case of convenience flood stores (p < 0.001), the children were the most influential in the families in Steps III and IV. In most family life cycle steps, each of them chose their own meal. 4) from a factor analysis perspective, attitudes toward eating out have been grouped according to two factors, namely 'Advantage' and 'Nutrition'. No factor showed a significant difference among the family life cycle steps.

A Search of Relationship of Career Compromise and Career Related Variables of University Students (대학생의 진로타협과 진로관련 변인들의 관계 탐색)

  • Nam, Kwang Suk;Mun, Eun Mi
    • Journal of vocational education research
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    • v.37 no.5
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    • pp.79-100
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    • 2018
  • This study is to find out the type of relation existed for the career compromise of university students with respect to the career related variables. For this purpose, a questionnaire survey has been implemented for 278 University students in order to measure the level of career compromise, career decision-making self-efficacy, career outcome expectations, workhope, career motivation, and occupational engagement behavior. The data analysis facilitated SPSS 22.0 to administer reliability analysis, basic statistical analysis, correlation analysis, and regression analysis. The result of this study is shown as follows. First, career decision-making self-efficacy, career outcome expectations and workhope are all shown to influence on career compromise, and the greater the relative influence of workhope. As a result of detailed look, career compromise has shown the influence, and career compromise has shown the influence, on the occupational engagement behavior. Therefore, university students in Korea confirmed that career compromise is negatively affecting career-related factors. Based on the research findings, it is meaningful to note that it is necessary to help university students effectively cope with the situation of the career compromise in a career guidance and consultation scene.

Predicting Stock Liquidity by Using Ensemble Data Mining Methods

  • Bae, Eun Chan;Lee, Kun Chang
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.6
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    • pp.9-19
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    • 2016
  • In finance literature, stock liquidity showing how stocks can be cashed out in the market has received rich attentions from both academicians and practitioners. The reasons are plenty. First, it is known that stock liquidity affects significantly asset pricing. Second, macroeconomic announcements influence liquidity in the stock market. Therefore, stock liquidity itself affects investors' decision and managers' decision as well. Though there exist a great deal of literature about stock liquidity in finance literature, it is quite clear that there are no studies attempting to investigate the stock liquidity issue as one of decision making problems. In finance literature, most of stock liquidity studies had dealt with limited views such as how much it influences stock price, which variables are associated with describing the stock liquidity significantly, etc. However, this paper posits that stock liquidity issue may become a serious decision-making problem, and then be handled by using data mining techniques to estimate its future extent with statistical validity. In this sense, we collected financial data set from a number of manufacturing companies listed in KRX (Korea Exchange) during the period of 2010 to 2013. The reason why we selected dataset from 2010 was to avoid the after-shocks of financial crisis that occurred in 2008. We used Fn-GuidPro system to gather total 5,700 financial data set. Stock liquidity measure was computed by the procedures proposed by Amihud (2002) which is known to show best metrics for showing relationship with daily return. We applied five data mining techniques (or classifiers) such as Bayesian network, support vector machine (SVM), decision tree, neural network, and ensemble method. Bayesian networks include GBN (General Bayesian Network), NBN (Naive BN), TAN (Tree Augmented NBN). Decision tree uses CART and C4.5. Regression result was used as a benchmarking performance. Ensemble method uses two types-integration of two classifiers, and three classifiers. Ensemble method is based on voting for the sake of integrating classifiers. Among the single classifiers, CART showed best performance with 48.2%, compared with 37.18% by regression. Among the ensemble methods, the result from integrating TAN, CART, and SVM was best with 49.25%. Through the additional analysis in individual industries, those relatively stabilized industries like electronic appliances, wholesale & retailing, woods, leather-bags-shoes showed better performance over 50%.

A Study on Relationships Between Environment, Organizational Structure, and Organizational Effectiveness of Public Health Centers in Korea (보건소의 환경, 조직구조와 조직유효성과의 관계)

  • Yun, Soon-Nyoung
    • Research in Community and Public Health Nursing
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    • v.6 no.1
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    • pp.5-33
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    • 1995
  • The objective of the study are two-fold: one is to explore the relationship between environment, organizational structure, and organizational effectiveness of public health centers in Korea, and the other is to examine the validity of contingency theory for improving the organizational structure of public health care agencies, with special emphasis on public health nursing administration. Accordingly, the conceptual model of the study consisted of three different concepts: environment, organizational structure, and organizational effectiveness, which were built up from the contingency theory. Data were collected during the period from 1st of May through 30th of June, 1990. From the total of 249 health centers in the country, one hundred and five centers were sampled non proportionally, according to the geopolitical distribution. Out of 105, 73 health centers responded to mailed questionnaire. The health centers were the unit of the study, and a various statistical analysis techniques were used: Reliability analysis(Cronbach's Alpha) for 4 measurement tools; Shapiro-Wilk statistic for normality test of measured scores of 6 variables: ANOVA, Pearson Correlaion analysis, regressional analysis, and canonical correlation analysis for the test of the relationships and differences between the variables. The results were. as follows : 1. No significant differences between forma lization, decision-making authority and environmental complexity were found(F=1.383, P=.24 ; F=.801, P=.37). 2. Negative relationships between formalization and decision-making authority for both urban and rural health centers were found(r=-.470, P=.002 ; r=-.348, P=.46). 3. No significant relationship between formalization and job satisfaction for both urban and rural health centers were found (r=-.242, P=.132, r=-.060, P=.739). 4. Significant positive relationship between decision - making authority and job satisfaction were found in urban health centers (r=.504, P=.0009), but no such relationship was observed in rural health centers. Regression coefficient between them was statistically significant($\beta=1.535$, P=.0002), and accuracy of regression line was accepted (W=.975, P= .420). 5. No significant relationships among formalization and family planning services, maternal health services, and tuberculosis control services for both urban and rural health centers were found. 6. Among decision-making authority and family planning services, maternal health services, and tuberculosis control services, significant positive relationship was found between de cision-making authority and family planning services(r=.286, P=.73). 7. A significant difference was found in maternal health services by the type of health centers (F=5.13, P=.026) but no difference was found in tuberculosis control services by the type of health centers, formalization, and decision-making authority. 8. A significant positive relationships were found between family planning services and maternal health services and tuberculosis control services, and between maternal health services and tuberculosis control services (r=-.499, P=.001 ; r=.457, P=.004 ; r=.495, P=.002) in case of urban health centers. In case of rural health centers, relationships between family planning services and tuberculosis control services, and between maternal health services and tuberculosis control services were statistically significant (r=.534, P=.002 ; r=.389, P=.027). No significant relationship was found between family planning and maternal health services. 9. A significant positive canonical correlation was found between the group of independent variables consisted of formalization and de cision-making authority and the group of dependent variables consisted of family planning services, maternal health services and tuberculosis control services(Rc=.455, P=.02). In case of urban health centers, no significant canonical correlation was found between them, but significant canoncial correlation was found in rural health centers(Rc=.578, P=.069), 10. Relationships between job satisfaction and health care productivity was not found significant. Through these results, the assumed relationship between environment and organizational structure was not supported in health centers. Therefore, the relationship between the organizational effectiveness and the congruence between environment and organizational structure that contingency theory proposes to exist was not able to be tested. However decision-making authority was found as an important variable of organizational structure affecting family planning services and job satisfaction in urban health centers. Thus it was suggested that decentralized decision making among health professionals would be a valuable strategy for improvement of organizational effectiveness in public health centers. It is also recommended that further studies to test contingency theory would use variability and uncertainty to define environment of public health centers instead of complexity.

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Closed-form fragility analysis of the steel moment resisting frames

  • Kia, M.;Banazadeh, M.
    • Steel and Composite Structures
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    • v.21 no.1
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    • pp.93-107
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    • 2016
  • Seismic fragility analysis is a probabilistic decision-making framework which is widely implemented for evaluating vulnerability of a building under earthquake loading. It requires ingredient named probabilistic model and commonly developed using statistics requiring collecting data in large quantities. Preparation of such a data-base is often costly and time-consuming. Therefore, in this paper, by developing generic seismic drift demand model for regular-multi-story steel moment resisting frames is tried to present a novel application of the probabilistic decision-making analysis to practical purposes. To this end, a demand model which is a linear function of intensity measure in logarithmic space is developed to predict overall maximum inter-story drift. Next, the model is coupled with a set of regression-based equations which are capable of directly estimating unknown statistical characteristics of the model parameters.To explicitly address uncertainties arise from randomness and lack of knowledge, the Bayesian regression inference is employed, when these relations are developed. The developed demand model is then employed in a Seismic Fragility Analysis (SFA) for two designed building. The accuracy of the results is also assessed by comparison with the results directly obtained from Incremental Dynamic analysis.