• 가정과삶의질연구
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• 제23권3호
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• pp.77-91
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• 2005

This study conceptualized the factors affecting college students' consumer decision-making styles from the perspective of consumer socialization. A number of antecedent variables identified by preceding studies (age, gender, place where one grew up, job experience, main reason for working, amount of allowance, family income, socio-economic status) and socialization agents such as family, peers, mass media were included in the analysis. This study extends previous studies by examining a theoretical link between the antecedent variables and socialization agents. Three hundred and forty one undergraduate students in Daejeon were participated in this study. Stepwise multiple regression md path analysis were conducted. The results of this study are as follows: 1. Six consumer decision-making styles were identified. 2. The influence of the socialization agents, especially mass media and several antecedent variables, especially gender and main reason for working, played important roles in consumer decision-making styles. 3. Several antecedent variables, especially gender and family income, were related only with the influence of socialization agents. 4. Six path-analysis models that illustrate the relationships among the antecedent variables, the socialization agents and consumer decision-making styles were proposed.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2008년도 추계 학술발표회
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• pp.1090-1097
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• 2008

This study conducted the decision method of lateral flow in abutment structures founded on the soft soils and the reliability analysis on the foundation pile for abutment. On the basis of the results, this study proposed the reliability design model. Reliability analysis was conducted by applying second moment method, point estimation method, and expected total cost minimization to lateral movement index, lateral movement decision index, modified lateral movement decision index, and circular failure safety factor for the decision criteria of lateral flow. The reliability index by analysis method had a similar tendency each other. Point estimation method was found as a practical method in the aspect of convenience because it could conduct the analysis only by mean and standard deviation as well as the partial derivative on random variables was not necessary. Optimum reliability index and optimum safety according to increasing in failure factors and load ratio were analyzed and loads and resistance factors of the design criteria of optimum reliability were estimated. It presented rational design model which can consider construction level and stability and economical efficiency overall.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.1017-1023
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• 2021

This research aims to determine the effect of customers' threat emotion and price on the decision to purchase a certain smartphone product. This study uses a quantitative method with a type of descriptive and causal research. It employs non-probability sampling with purposive sampling, with 385 respondents to answer the questionnaires. Data analysis techniques used descriptive analysis and multiple linear regression analysis. Based on the results of descriptive analysis of emotion, price and purchasing decisions are in sync with each other. The results of multiple linear regression analysis techniques indicate the threat emotion and brand trust are influential against the positive decision to purchase smartphone products. The magnitude of the influence of emotions and price have simultaneous effect on purchasing decisions and other decision variables, which are not included in this study, also play minor role in determining purchase intention, such as product quality, brand image and others. Partially, threat emotion and brand trust have a positive effect toward purchasing decisions. The magnitude of the highest influence was the one of price, then followed by emotional threats. The findings of this study suggest that psychological and behavioral effects also play important roles in determining customers' purchase decision.

• 한국환경교육학회지:환경교육
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• 제20권1호
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• pp.90-105
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• 2007

The purpose of this study is to find the influence of environmental issue analysis instruction on the environmental decision making ability for grade 5 elementary school students. The study was done through pre and post testing control group structure. The object of this study is grade 5 of I elementary school students which were divided into 35 student test group and 54 student control group. Through studying references, the selection standard of appropriate environment issue and the environmental issue analysis instructing objective. Conducted the environment issue instructing based on the selected environment issue and instructing objective. The classes were held in total of 6 sessions in the chapters related to class objective and class content within the curriculum. The pre and post testing was done using environment decision making ability test sheet which was reconstructed by myself and the results were analyzed by t-test. As a result of comparing pre and post testing the students in test group showed significant results in the processes of problem recognition, evaluation of alternatives, behave planing (p<.001). As a result of comparing the differences of environment decision making ability of pre and post test of test group and control group, it showed significant results in the process of evaluation of alternatives(p<.00l). The environment issue analysis class has positive influence on the environment decision making abilities of the students but since the outcome of environment decision making ability is lower, there is a need for long term environment education plan and further studies to find whether the environment issues within the textbook is appropriate in the elementary student level, useful school aspect and the influence of environment issue analysis class on the change of values for individuals.

• 융합정보논문지
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• 제12권2호
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• pp.221-230
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• 2022

본 연구에서는 뷰티 전공 대학생의 진로 의사결정 유형을 확인하고, 진로 준비 행동과 전공 만족에 미치는 영향에 대한 분석을 통해 진로 준비 행동의 향상을 목적으로 한다. 2021년 11월 1일부터 30일까지 진행하였고, 질문지는 총 485부를 분석 자료로 활용하였다. 연구 방법으로 빈도 분석, 요인분석, 신뢰도 분석, 상관관계 분석, 다중 회귀분석을 실시하였다. 연구 결과로 첫째 진로 의사결정 유형이 진로 준비 행동과 전공 만족에서 정적(+) 상관관계가 나타나 통계학적으로 유의한 것으로 나타났다. 둘째, 합리적 진로 의사결정 유형은 의존 및 직관적 유형과 상관 관계가 있었으며, 진로 준비 행동으로 시간 노력, 능력 활동, 정보수집의 진로 준비 행동과 전공 만족으로 수업 만족, 교과 만족에서 모두 통계적으로 유의한 정적(+) 상관관계를 나타냈다. 셋째 진로 의사결정 유형 중 합리형과 의존형이 진로 준비 행동의 하위요인인 능력 활동에 통계적으로 유의한 영향을 미치는 것으로 나타났다.

• 대한안전경영과학회지
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• 제11권2호
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• pp.153-158
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• 2009

An optimal selection problem of SCM system is one of the critical issues for the company's competitiveness and performance under global economy. This paper presents a hierarchy model consisted of characteristic factors for introducing SCM system and an AHP (Analytic Hierarchy Process) based decision-making model for SCM system evaluation and selection. The proposed model can systematically construct the objectives of SCM system selection to meet the business goals. This paper focuses on selecting an optimal SCM system considering both all decision factors and sub-decision factors of a hierarchy model. Especially, the benefit/cost analysis is applied to choose SCM system. A case study shows the feasibility of the proposed model and the model can help a company to make better decision-making in the SCM system selection problem.

• Asia pacific journal of information systems
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• 제7권1호
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• pp.99-111
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• 1997

This paper presents an application of an artificial neural net to the implementation of decision class analysis (DCA), together with the generation of a decision model influence diagram. The diagram is well-known as a good tool for knowledge representation of complex decision problems. Generating influence diagram model is known to in practice require much time and effort, and the resulting model can be generally applicable to only a specific decision problem. In order to reduce the burden of modeling decision problems, the concept of DCA is introduced. DCA treats a set of decision problems having some degree of similarityz as a single unit. We propose a method utilizing a feedforward neural net with supervised learning rule to develop DCA based on influence diagram, which method consists of two phases: Phase l is to search for relevant chance and value nodes of an individual influence diagram from given decision and specific situations and Phase II elicits arcs among the nodes in the diagram. We also examine the results of neural net simulation with an example of a class of decision problems.

• 한국산학기술학회논문지
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• 제14권11호
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• pp.5488-5496
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• 2013

이 연구의 목적은 대학생들의 진로내외통제소재가 진로결정효능감에 영향을 미치는 요인은 무엇인지를 밝히려는 것이다. 이러한 연구목적을 달성하기 위하여 I시에 소재한 대학생 476명을 대상으로 설문조사를 실시하였다. 응답 결과에 대하여 첫째, 대학생들의 진로내외통제소재와 진로결정효능감은 배경변인별로 차이가 나타나지 않았다. 둘째, 대학생들의 진로내외통제소재와 진로결정효능감에서 유의미한 상관관계가 있는 것으로 나타났다. 셋째, 대학생들의 진로내외통제소재가 진로결정효능감에 긍정적인 영향을 미치는 것으로 나타났다. 이러한 연구결과로 볼 때, 진로탐색 및 진로선택, 구직활동을 하는데 내적통제 요인이 상당한 영향력을 가지며, 진로와 관련된 결정을 내리는데 진로결정효능감은 진로지도에 중요한 요소임을 보여준다. 이를 위해 진로내외통제소재와 진로결정효능감에 대한 지속적인 탐색과 분석이 이루어지며, 대학생에게 다양한 진로지도프로그램의 연구가 진행되어야 할 것으로 보여진다.

• 대한안전경영과학회지
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• 제6권2호
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• pp.177-186
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• 2004

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. We study the multi-attribute decision making in a compensatory models. In this paper, we use the entropy methods in weights calculating. For the purpose of making optimal decision, the data of five different car models are used. For computing, we used Visual Numerica Version 1.0 software package.

• 산업공학
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• 제16권4호
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• pp.473-484
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• 2003

In this paper we deal with the logistics brokerage process in which a logistics agent intermediates between vehicle owners and shippers for matching empty vehicles and freights. Based on the Multi-Criteria Decision Making (MCDM) methodology, the proposed agent system matches the most preferred empty vehicle to the shipper and the most preferred freight to the vehicle owner. In the proposed agent system, an MCDM based sensitivity analysis is also used for supporting decision makers under negotiations. Among various MCDM methodologies, Analytic Hierarchy Process (AHP) is utilized in this paper. Although AHP is one of the most popular MCDM methodologies, AHP needs a number of pair-wise comparisons for assessing alternatives and hence may give excessive decision making burden to the decision makers. In this paper, in order to reduce the decision making burden, a preference function based estimation method is proposed. We can expect that the MCDM based logistics brokerage agent can be used as an efficient and effective tool for e-logistics marketplaces on the internet.