• 한국의류학회지
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• 제37권4호
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• pp.526-539
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• 2013

This study analyzed the effects of internet fashion consumer's anticipated regret and the selection difficulty on decision making delay and purchase switching intention. The survey was conducted in 2012 on internet fashion consumers in their 20s to 40s from May 1 to June 30; subsequently, 487 responses were used for the data analysis. The anticipated regret of internet fashion consumers was composed of product, service, social psychology, and function-related anticipated regret. The selection difficulty of internet fashion consumers was composed of process, information, and experience-related selection difficulty. There are significant differences in anticipated regret, selection difficulty, decision making delay, and purchase switching intention by gender. The anticipated regret (product, service, and social psychology-related anticipated regret) and selection difficulty effected decision making delay. In addition, the anticipated regret for product and selection difficulty by process or information influenced purchase switching intention. The results of this study provide useful information on the success and efficient operation of internet shopping malls.

• 한국비블리아학회지
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• 제28권1호
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• pp.293-315
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• 2017

본 연구는 대학생이 의사결정이 필요한 어떤 시기(본 연구에서는 선거라는 정치적 의사결정을 위한)에 정보원을 탐색하고 활용하는 실태를 조사 분석한 것이다. 이를 위해 서울지역 12개 대학을 임의로 선정, 각 대학 30명 이상씩 총 360여 명의 남녀 대학생을 표본으로 설문조사를 시행하였다. 연구대상에게 일반적으로 정보가 필요한 시기에 선호하는 정보원에 대한 개괄적인 질의를 시작으로, 의사결정이 필요한 어떤 시기의 정보원 활용에 대한 개괄적 질의를 하였으며 더불어 이때 활용하는 정보원의 속성에 대해 알아보고자 다양한 정보원 평가 질의를 포함하였다. 선행연구와 비교해볼 때 인터넷 정보원의 활용이 더욱 증가하였다는 것과 정치적 의사결정에 있어서는 정보원의 신뢰성, 권위성이 더욱 큰 영향을 주고 있다 분석됐다. 이후 보다 깊은 정보행태의 이해를 위해 다양한 추가 분석을 시행하였다.

• 대한안전경영과학회지
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• 제5권3호
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• pp.107-119
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• 2003

Expectation and interest about e-CRM are rising for more efficient customer management in on-line including electronic commerce. The decision-making tree can be used usefully as the data mining technology for e-CRM. In this paper, the representative decision making techniques, CART, C4.5, CHAID analyzed the differences in personalization point of view with actuality customer data through an experiment. With these analysis data, it is proposed a new decision-making tree system that has big advantage in personalization techniques. Through new system, it can get following advantage. First, it can form superior model more qualitatively in personalization by adding individual's weight value. Second it can supply information personalized more to customer. Third, it can have high position about customer's loyalty than other site of similar types of business. Fourth, it can reduce expense that cost marketing and decision-making. Fifth, it becomes possible that know that customer through smooth communication with customer who use personalized service wants and make from goods or service's quality to more worth thing.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권4호
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• pp.287-295
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• 2010

Based on the interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator and the interval-valued intuitionistic fuzzy weighted geometric (IIFWG) operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as interval-valued in tuitionistic fuzzy decision matrices where each of the elements is characterized by interval-valued intuitionistic fuzzy numbers, and the information about attribute weights is partially known. Anumerical example is used to illustrate the applicability of the proposed approach.

• Asia pacific journal of information systems
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• 제14권1호
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• pp.125-142
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• 2004

Knowledge management has been increasingly recognized as important in business management context. Although knowledge management has been proposed as an enabler to reach competitive advantage, little research has considered applying knowledge to business decision-making activities, which may be the main task of enterprise management. The application of knowledge to decision-making has a more significant impact on organizational performance than mere knowledge management for operational level processing. For this purpose, the present study proposes a decision support loop based on the integration of knowledge by adopting a cognitive modeling approach. The proposed model is then discussed, in the real context of an application case.

• 한국지능시스템학회:학술대회논문집
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• 한국지능시스템학회 2008년도 춘계학술대회 학술발표회 논문집
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• pp.29-32
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• 2008

Based on the interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator and the interval-valued intuitionistic fuzzy weighted geometric (IIFWG) operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by interval-valued intuitionistic fuzzy numbers, and the information about attribute weights is partially known. A numerical example is used to illustrate the applicability of the proposed approach.

• Journal of Information Technology Applications and Management
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• 제23권1호
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• pp.79-96
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• 2016

As numerous security breaches on a variety of information assets such as personal information, corporate secrets, computer servers, and networks have occurred, information security has emerged as a critical social issue. However, researches on economically rational information security decision-making have been few. Such researches are especially rare in South Korea where information security is considered to be a discipline of engineers. This study aims to identify the preferred themes and methodologies of information security economics research in the field of information systems by reviewing papers published in Management Information Systems Quarterly (MISQ), Information Systems Research (ISR), European Journal of Information Systems (EJIS), Management Science (MS), and Information and Management (I&M). We hope that the results of the study will be helpful in rational managerial or policy decision-making for practitioners and suggest future research topics for researchers.

• 지능정보연구
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• 제14권2호
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• pp.1-20
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• 2008

정보기술의 급격한 발전은 경영환경에서 다양한 정보를 산출하여 의사결정자들이 의사결정을 효과적으로 지원할 수 있는 수단을 요구하고 있다. 특히 유비쿼터스 환경의 등장으로 이러한 의사결정형태는 더욱 복잡해지고 다양해 질것으로 기대된다. 이에 본 연구에서는 유비쿼터스 환경에서의 의사결정지원시스템(UDSS：Ubiquitous Decision Support Systems)이 실제 업무에서 의사결정과정과 의사결정의 성과에 어떠한 영향을 미치는지 실증적으로 분석하고자 하였다. 이를 위해 모바일 택배 시스템(MDS：Mobile Delivery System)을 UDSS로 간주하고 유비쿼터스 환경의 주요한 두 속성인 유비쿼터스 접속성과 상황인식기능이 의사결정자의 의사결정과정과 성과에 어떠한 영향을 미치는지 실증자료를 이용하여 분석하였다. 분석결과 유비쿼터스 접속성은 의사결정과정에서 대안설계에 유의한 영향을 미치지 못하였으나, 상황인식기능은 의사결정의 모든 과정에 유의한 영향을 미치는 것으로 나타났다. 한편, 의사결정과정 간의 각 단계들은 상호 유의한 인과관계를 나타냈으며, 의사결정과정과 의사결정의 성과는 모두 유의한 것으로 나타났다. 이러한 결과를 바탕으로 향후 UDSS의 설계 및 구현에 필요한 시사점 및 향후 연구방향을 제시하였다.

• 한국IT서비스학회지
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• 제12권3호
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• pp.289-309
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• 2013

Korea has been ranked at the top consecutively in UN e-Government Survey. This fact reflects consistent efforts by public institutes in Korea. However, there were some duplicate efforts and inefficiency in the investment into IS(information systems). In other words, management and decision making on e-government have yet to improved. Accordingly, governmental institutes have long been promoting policies for EA in order to carry out and manage effectively IT projects including the e-Government projects. EA is being regarded as a means to facilitate IT Governance for systematic management of IT projects, A major objective is to firmly establish the decision making process for IS investment through EA, since the each institute is a large organization with so complicated and specialized demand for IS. As a result, systematic decision making is becoming quite difficult. Thus, this study attempts to identify different types of IT investment decision making and to figure out the relationship between the decision types and the organizational performance of public institutes where EA was implemented.

• Asia pacific journal of information systems
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• 제15권2호
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• pp.195-218
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• 2005

The emergence of ubiquitous computing environment will change the service architecture of business information systems such as Decision Support System(DSS), which will be a new application. Recent mobile DSSs allow the decision makers to be benefited from web and mobile technology. However, they seldom refer to context data, which are useful for proactive decision support. Meanwhile, ubiquitous applications so far provide restricted personalization service using context and preference of the user, that is, they do not fully make use of decision making capabilities. Hence, this paper aims to describe how the decision making capability and context-aware computing are jointly used to establish ubiquitous applications. To do so, an amended DSS paradigm: CKDDM(Context-Knowledge-Dialogue-Data-Model) is proposed in this paper. What will be considered for the future decision support systems when we regard ubiquitous computing technology as an inevitable impact that enforces the change of the way of making decisions are described. Under the CKDDM paradigm, a framework of ubiquitous decision support systems(ubiDSS) is addressed with the description of the subsystems within. To show the feasibility of ubiDSS, a prototype system, CAMA-myOpt(Context-Aware Multi Agent System-My Optimization) has been implemented as an illustrative example system.