오픈마켓 중심의 인터넷쇼핑의 성장세가 애초의 기대를 훨씬 능가하는 수준으로 진행됨에 따라 온라인 소비자의 의사결정 및 행동에 관한 연구도 활발히 이루어 지고 있다. 본 연구는 최근 인터넷 쇼핑시장의 성장세를 주도하고 있는 오픈마켓 쇼핑 경험자를 대상으로 실제 오픈마켓형 인터넷 쇼핑몰이 제공하는 의사결정 지원기능이 의사결정의 효율성과 만족에 미치는 영향을 실증적으로 분석․검증하였다. 연구의 주요결과를 요약하면, 첫째 오픈마켓의 의사결정지원기능들이 고객의

This paper proposes a methodology to measure the risk level in real-time for Business Activity Monitoring (BAM). A decision-tree methodology was employed to analyze the effect of process attributes on the result of the process execution. In the course of

A vendor selection problem consists of two different kinds of decision making. First one is to choose the best suppliers among all possible suppliers and the next is to allocate the optimal quantities of orders among the selected vendors. In this study, an integration of the technique for order preference by similarity to ideal solution (TOPSIS) and a multi-objective mixed integer programming (MOMIP) is developed to account for all qualitative and quantitative factors which are used to evaluate and choose the best group of vendors and to decide the optimal order quantity for each vendor. A solution methodology for the vendor selection model of multiple-vendor, multiple-item with multiple decision criteria and in respect to finite vendor capacity is presented.

This paper deals with selecting an optimal rapid prototyping(RP) machine that suits the end use of a part. Evaluation factors include only major attributes such as accuracy, roughness, strength, part cost and build time that greatly affect the performance of RP machines. Accuracy, surface roughness and strength are presented as crisp values. The part cost and build time identified as just approximate ranges due to different human cost and many variable parameters are presented by linguistic values. It can be described with triangular fuzzy numbers. Based on the evaluation values obtained, an appropriate RP process for a specific part application can be selected by using the modified TOPSIS(Technique of Order Preference by Similarity to Ideal Solution) method including crisp data as well as linguistic variables, and each weight on the alternatives is assigned by using a fuzzy weight. The ranking order of all machines provides the decision information for the selection of RP machines.

  Supply Chain Management (SCM) system is a critical investment that can affect the competitiveness and performance of a company. Selection of a right SCM system is one of the critical issues. This paper presents the characteristic factors of SCM system a

  In this paper the economic value of weather forecasts is valuated for profit-oriented enterprise decision-making situations. Value is estimated in terms of monetary profits (or benefits) resulted from the forecast user’s decision under the specific payo

본 연구는 소비자가 모바일 기기를 구매함에 있어서 어떤 멘탈 모델을 가지고 있는지를 파악하는데 중점을 두고 멘탈 모델의 추출과 분석을 시도하였다. 본 연구는 모바일 기기 구매 의사결정 과정에서 IT 친숙도에 따라 서로 다른 멘탈 모델을 가지고 있을 것이라는 가설을 가지고 크게 두 부분으로 나누어 연구를 진행하여 인지 과제 분석 방법의 하나인 Critical Decision Method를 이용하여 멘탈 모델을 이루는 27가지 구성요소들을 추출하였고, 이렇게 추출된 구성요소들을 바탕으로 IT 친숙도에 따라 소비자의 멘탈 모델을 두 그룹으로 구분하여 Pathfinder 알고리즘과Social Network Analysis를 이용하여 각각의 멘탈 모델을 분석하고 있다. 분석결과 IT 친숙도가 높은 그룹은 멘탈 모델을 구성하는 요소들이 각각의 독자적 특성에 따라 구매 의사결정 과정에서 비교적 조직적이고 분명하게 구분된 역할을 수행하는 것으로 나타난 반면, IT 친숙도가 낮은 그룹은 멘탈 모델 구성 요소들 간의 관계나 역할이 불분명하고 혼재된 경향을 보였으며 구매 의사결정 과정에서 외부 의견이나 사회적 통념을 중시하는 것으로 나타났다.

Multi-criteria decision making is deducing the relative importance in the criterion of decision making and each alternative which is able to making a variety of choices measures the preferred degree in the series of town ranking criterions. Moreover, this is possible by synthesizing them systematically. In general, a fundamental problem decision maker solve for multi-criteria decision making is evaluating a set of activities which an considered as the target logically, and this kind of work is evaluated and synthesized by various criterions of the value which a chain of activities usually hold in common. In this paper, we use the compensatory models for the optimal decision making. For the purpose of optimal decision making, the data of five different car models are used in Europe.

의사결정나무 알고리즘은 데이터마이닝 기법중 하나인데 관심이 되는 데이터들에 대하여 분류 및 예측을 가능하게 해준다. 이 기법은 데이터 형태의 특성을 분석할 수 있고 산업재해 형태의 차이점을 찾아내는데 사용될 수 있다. 본 연구에서는 산업재해 데이터의 특성을 파악하고자 C4.5 알고리즘을 사용하였다. 본 연구에서 분석을 위하여 사용된 데이터는 강원도에서 발생한 2년 동안의 산업재해 관련 데이터로서 연구에 적용된 데이터의 수는 19,909개로 구성되어 있다

Growth possibility is big to culture tourism resources and representative tourist resort of the Korea that use view of nature photon circle properly such as ceramics that target area possesses. Area development plan through growth possibility should be arranged to international ceramics production complex and distribution complex. Therefore, Marketing analyzing future district theme establishment and strength in priority via past and present of target area.

  In order to implement Artificial Intelligence, various technologies have been widely used. Artificial Intelligence are applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. T

As Korea has approached the aging society, older Koreans have become an important force in restaurant sales today. To succeed with this silver market, it is important for restaurant managers to know who they are and what factors influence older Koreans' eating-out decision making process. The purpose of this study was to investigate the effect of the silver consumers' education level on eating-out decision making process. Data were collected from 178 older consumers above 55 years old and analyzed using the descriptive statistic analysis, MANOVA, and one-way ANOVA. The results showed that the elderly consumers' education level significantly influenced the decision making process in determining where to eat out. Significant differences were found in the Problem Recognition Step(Wilks' Lambda=0.817, F=2.991), Information Search Step(Wilks' Lambda=0828, F=2.218), Alternative Evaluation Step II(Wilks' Lambda=0.741, F=3.596), Purchase Decision Step(Wilks' Lambda=0.859, F=2.223), and the Post-Purchase Behavior(Wilks' Lambda=0.885, F=1.780). The higher education level was, the more directly involved in the eating out decision process. The elderly consumers with university education were likely to 'propose to eat out by themselves'(F=9.346), to obtain restaurant information from the 'printed materials'(F=7.452), to go to 'family restaurant'(F=9.057), 'Japanese restaurant'(F=8.7891) and 'fine dining restaurants'(F=3.936), and to directly express their emotion when they had complaints about restaurant service(F=3.206). In conclusion, older Koreans will become more healthy and wealthy which means the dining out activity will be an important part of their life to socialize with people. Therefore, food service operations should consider the elderly consumers' needs and expectation of restaurant services and actively position themselves for this new market segment.

The consequences of rapid industrial advancement, diversified types of business and unexpected industrial accidents have caused a lot of damage to many unspecified persons both in a human way and a material way Although various previous studies have been analyzed to prevent industrial accidents, these studies only provide managerial and educational policies using frequency analysis and comparative analysis based on data from past industrial accidents. The main objective of this study is to find an optimal algorithm for data analysis of industrial accidents and this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. Enterprise Miner of SAS and AnswerTree of SPSS will be used to evaluate the validity of the results of the four algorithms. The sample for this work chosen from 19,574 data related to construction industries during three years (2002~2004) in Korea.