• 한국IT서비스학회지
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• 제13권3호
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• pp.275-298
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• 2014

The purpose of this study is to verify the difference between the importance level and the satisfaction level of each purchase decision factor of smart phone. Through review of literatures about purchase decision factors, we have derived about attributes of 6 factors. T-test, importance performance analysis (IPA), and regression analysis were conducted to identify priorities among the details of the importance and satisfaction and to analyze the effect relationship between satisfaction of each factor and overall satisfaction. Looking at a few high-priority order, battery capacity, memory capacity, fast and accurate repair, the adequacy of the repair cost, and processor in the top five factors were shown to be an important factor when purchasing smart phones. The results of this study can provide the marketing strategies for smart phone suppliers. In addition, these results imply what factors of smart phones should be more considered before launching into chinese smart phone market.

• 한국통신학회논문지
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• 제22권7호
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• pp.1411-1418
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• 1997

This paper presents a statistical analysis of the decision throeshold for derect-sequence spread-spectrum (DS-SS) prallel Pseudo-Noise (PN) code acquistion with a reference filter. The probabilities of detection and false alarm are derived, and the mean acquistion time is evaluated as a measure of the system performance in both nonfading and Rician fiding channels. From the statistical sresults, it is shown that in the performance analysis of the parallel acquisition system with reference filtering, the statistical evaluaion of the decision threshold seems more appropriate than the approximation of the decision threshold adopted in the other schemes[2,3].

• 대한안전경영과학회지
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• 제15권1호
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• pp.249-258
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• 2013

Data Envelopment Analysis (DEA) is a useful tool to analyze the relative efficiency of decision making units (DMU) characterized by multiple inputs and multiple outputs. This method has been popularly used as an analytical tool to suggest some strategic improvement. To do this, the results of DEA provide decision makers with a single efficiency score, efficient frontier, return to scale, benchmarking decision making units, etc. The purpose of this paper is to evaluate research performance of 38 universities and provide an inefficient university with the way of organizational changes to be an efficient university by using DEA. Various input and output variables are used to identify technical and scale inefficiency. Additionally, we analyze how an inefficient DMU could be changed an efficient DMU based on a case university. This result will give an insight of constructive directions for increasing of research performance to university decision makers.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 추계학술대회-지능형 정보기술과 미래조직 Information Technology and Future Organization
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• pp.355-361
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• 1999

An application of case-based reasoning is proposed to build an influence diagram for identifying successful new ventures. The decision to invest in new ventures in characterized by incomplete information and uncertainty, where some measures of firm performance are quantitative, while some others are substituted by qualitative indicators. Influence diagrams are used as a model for representing investment decision problems based on incomplete and uncertain information from a variety of sources. The building of influence diagrams needs much time and efforts and the resulting model such as a decision model is applicable to only one specific problem. However, some prior knowledge from the experience to build decision model can be utilized to resolve other similar decision problems. The basic idea of case-based reasoning is that humans reuse the problem solving experience to solve a new decision. In this paper, we suggest a case-based reasoning approach to build an influence diagram for the class of investment decision problems. This is composed of a retrieval procedure and an adaptation procedure. The retrieval procedure use two suggested measures, the fitting ratio and the garbage ratio. An adaptation procedure is based on a decision-analytic knowledge and decision participants knowledge. Each step of procedure is explained step by step, and it is applied to the investment decision problem in new ventures.

• 한국주거학회논문집
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• 제12권2호
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• pp.45-54
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• 2001

The purpose of this research was to analyze the correlation between the Apartment Purchase Price Decision Factor and Amenity decision Factor with cognition of the Consumer. The result are as follows; 1. The correlation coefficient between the Apartment Price Decision Factor and Amenity decision Factor with cognition of the Consumer was 0.587. 2. The ranking of the purchase price factor which it prefers were analyzed orientation > sunlight > view > the rising price expectation > natural environment etc. And the ranking of the amenity were analyzed orientation > natural environment > view > sunlight > noise etc. 3. Consumer group was classified the location, sex, year of ages and unit scale. The rank correlation coefficient of (the significant was below 0.05) sex was 0.617~0.644, year of ages was 0.62~0.771 and unit scale was 0.762~0.852. This research proved the fact that the amenity correlated with the apartment purchase price decision factor, so amenity contained an economic value. And this result will be used in decision-making-process of apartment construction.

• 한국정보시스템학회지:정보시스템연구
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• 제8권2호
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• pp.91-110
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• 1999

Recently, searching agent systems to help purchase of products between business and customer have been actively studied in Electronic Commerce(EC). However, the most of comparative searching agent systems are only provided customers with searching results by the keyword-based search, and is not support the efficient decision models to be selected products considering the customer's requirements. This paper proposes the decision agent system applied decision model as well as searching functions based on the keyword-input to be selected useful products in EC. The proposed decision agent system is consist of the user interface, provider interface, decision model. Especially, as the example of the decision model, this paper is designed and implemented the prototype of decision agent system which is normalized the searching data and value of customer's preference weight as to each attribute, and orderly provided customers with computed results. This agent system is also carried out sensitive analysis according to the reflection ratio of the each attribute.

• 융합보안논문지
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• 제20권4호
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• pp.3-12
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• 2020

국방 무기체계 연구개발 과정에서 관련 규정이나 지침에 명시되지 않았지만, 연구개발 주관기관 내부적으로도 합리적인 대안 선택의 문제가 많이 발생한다. 대안 선택에 있어서 합리적인 과정이 적용되지 않으면 사업진행에 차질을 초래할 수 있으며, 이로 인해 사업기간 연장이나 추가 자원이 투입되는 상황도 발생된다. 특히 국내 미사일 연구개발 시 시험평가를 위한 많은 의사결정 과제들이 도출되며, 대표적인 것 중의 하나가 시험장 선정의 문제이다. 대안이 되는 시험장의 우선순위만 판단해야 한다면 델파이 기법(Delphi Method)이나 분석적계층과정(Analytic Hirarchy Process)을 활용할 수 있지만, 비용의 투입요소가 고려된다면 자료포락분석(Data Envelopment Analysis) 더 적합하다. 본 연구에서는 미사일 시험 시 발생되는 다양한 의사결정의 문제들을 염출해 보고, 이를 합리적으로 해결할 수 있는 의사결정의 방법이 제시된다. 제시된 의사결정의 프레임워크(Framework)는 국외 시험장을 선정하는 문제와 연관하여 모의 사례연구(Simulated Case Study)로 적용 과정이 연구된다.

• 융합정보논문지
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• 제12권4호
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• pp.231-238
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• 2022

본 연구는 대학생의 전공만족이 진로결정 자기효능감과 취업자신감에 미치는 영향을 규명하고자 한다. 연구방법은 서울, 경기도의 뷰티전공 2년제 대학생 335명을 대상으로 설문조사하여 분석에 사용하였다. 수집된 자료는 SPSS 26.0을 이용하여 빈도분석, 요인분석, 신뢰도분석, 전공만족이 진로결정 자기효능감, 취업자신감의 상관관계를 분석하였고, 각 변인들 간에 미치는 영향을 확인하기 위해 다중회귀분석을 실시하였다. 연구의 결과는 첫째, 대학생의 전공만족이 진로결정 자기효능감과 취업자신감에 통계적 유의한 정적(+)상관관계가 확인되었다. 둘째, 전공만족이 자기 효능감에 미치는 영향으로 자기평가, 문제해결, 목표선택에서 통계적 유의미한 영향이 확인되었다. 섯째, 전공만족이 취업자신감에 통계적 유의미한 영향이 확인되었다. 넷째, 진로결정 자기효능감이 취업자신감에서 통계적 유의미한 영향이 확인되었다.

• 한국의상디자인학회지
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• 제25권2호
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• pp.83-95
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• 2023

The purpose of this study was to identify the effect of skin care salons' decision factors on customer satisfaction and revisit intention during the COVID-19 pandemic. The subjects of this study were 220 women in their 20s to 50s who reside in Seoul and the Gyeonggi-do area and are users of skin care salons. The data was statistically analyzed using SPSS V.25.0 and detailed research results are as follows. For the analysis of this study, frequency analysis, factor analysis, reliability verification, independent sample T-Test, one-way analysis of variance, post hoc test, Duncan test, and regression analysis were conducted. First, as a result of examining whether skin care salon decision factors during the pandemic have a positive (+) effect on customer satisfaction, hygienic environment satisfaction and service environment satisfaction, which are sub-factors of customer satisfaction, had a significant effect on professionalism, kind service, and distance, which are sub-factors of decision factors, and are independent variables. Second, as a result of examining whether skin care salon decision factors during the pandemic have a positive (+) effect on revisit intention, decision factors, which are independent variables, including professionalism, kind service, price, and distance showed significant effects on human revisit intention, As for physical revisiting intention, only kind service, distance, and professionalism showed significant effects, while price did not have a significant effect. Third, as a result of examining whether customer satisfaction during the pandemic has a positive (+) effect on revisiting intention, the service environment satisfaction and hygienic environment satisfaction, which were sub-factors of independent variables, showed significant results for human and physical revisit intentions. In this study, service environment and hygienic environment satisfaction were important variables for skin care salon decision factors. Professionalism and kind service were important for human revisit intention. Therefore, overall service environment, hygiene, and safety should be prioritized to increase revisit intention and efforts must be made to retain and improve customer satisfaction

• 패션비즈니스
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• 제23권5호
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• pp.111-123
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• 2019

The objective of this study is to provide basic marketing data that is useful for domestic cosmetics companies by investigating purchase decision factors in cosmetics shopping. To this end, a mobile survey was conducted with a total of 300 men and women, aged 20-30, residing in Seoul and the surrounding Gyeonggi province. The collected data was analyzed by using SPSSWIN 21.0. Next, frequency analysis, factor analysis, reliability analysis, descriptive statistical analysis, correlation analysis and multiple regression analysis were performed. The results outlined consumer's purchase decision factors and suggest retailers should focus on services, such as additional events and samples, convenience of the shop itself, training salespeople to be kind and informative, promotion and services by carefully choosing models and celebrities to advertise and encourage impulse purchases, increasing product quality, improving their reputation in SNS, improve the perceived reliability of the shop by stocking famous brands prominently, advertisement, promotion and being reliably trendy and being reliably trendy. However, product loyalty was not an important factor consumers aged 20-30, these people are using SNS a lot so buy a wide variety of products. In this way, the cosmetics companies should establish marketing strategies in line with consumer habits.