• Communications for Statistical Applications and Methods
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• 제25권5호
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• pp.545-557
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• 2018

The inclusion of covariates in the model often affects not only the estimates of meaningful variables of interest but also its statistical significance. Such gap between statistical and subject-matter significance is a critical issue in huge sample studies. A popular huge sample study, the sample cohort data from Korean National Health Insurance Service, showed such gap of significance in the inference for the effect of obesity on cause of mortality, requiring careful consideration. In this regard, this paper proposes a sample size calibration method based on a Monte Carlo t (or z)-test approach without Monte Carlo simulation, and also proposes a test procedure for subject-matter significance using this calibration method in order to complement the deflated p-value in the huge sample size. Our calibration method shows no subject-matter significance of the obesity paradox regardless of race, sex, and age groups, unlike traditional statistical suggestions based on p-values.

• Asia pacific journal of information systems
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• 제8권3호
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• pp.51-73
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• 1998

This paper is to evaluate the application potentials of data mining in the areas of Supply Chain Management (SCM) and to suggest the architectures of Decision Support Systems (DSS) that support data mining activities. We first briefly introduce data mining and review the recent literatures on SCM and then evaluate data mining applications to SCM in three aspects: marketing, operations management and information systems. By analyzing the cases about pricing models in distribution channels, demand forecasting and quality control, it is shown that artificial intelligence techniques such as artificial neural networks, case-based reasoning and expert systems, combined with traditional analysis models, effectively mine the useful knowledge from the large volume of SCM data. Agent-based information system is addressed as an important architecture that enables the pursuit of global optimization of SCM through communication and information sharing among supply chain constituents without loss of their characteristics and independence. We expect that the suggested architectures of intelligent DSS provide the basis in developing information systems for SCM to improve the quality of organizational decisions.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (2)
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• pp.757-759
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• 2005

데이터마이닝을 이용한 데이터베이스 마케팅 전락 수립에 대한 않은 연구가 있었고 현재 의료업계에서도 관련 연구가 활발히 이루어지고 있다. 그러나 이는 규모가 큰 병원에만 국한되어 있고 산재해 있는 중소병원 및 본 연구의 대상인 한방분야의 경우 매우 미비한 실정이다. 이에 본 논문에서는 한방분야에서의 효과적인 데이터베이스 마케팅을 위하여 실제 한방병원의 데이터를 이용하여, 실증적으로 문제해결을 할 수 있는 방안을 제시한다. 즉 데이터의 특성 파악 및 전처리 과정 등을 통한 데이터마이닝 기법을 통하여 재검진을 결정하는 요인을 찾아내고, 군집별 특성을 분석하여 이를 데이터베이스 마케팅에 적용함으로써 데이터베이스를 효과적으로 마케팅에 활용할 수 있는 방안을 제시한다.

• 한국정보시스템학회:학술대회논문집
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• 한국정보시스템학회 2005년도 추계학술대회 발표 논문집
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• pp.235-248
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• 2005

This paper examines internet shopping mall e-loyalty behaviors. Conceptually, the paper relied on the relatively established literature on ' traditional ' store image and technology acceptance research. And proposes an integrated model including factors on customer e-loyalty in shopping environment. For this purpose, internet shopping mall user's image is proposed to affect trust, and commitment, and consequently to influence customer loyalty behaviors. The empirical results indicated that shopping mal image take significant effect on trust and customer loyalty behaviors. And commitment variable are effective mediators linking internet shopping mall user's trust and their loyalty behaviors. The proposed model and empirical results would contribute to setting up strategy shopping mall industry, and also to future research in information systems and internet marketing.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2018년도 제57차 동계학술대회논문집 26권1호
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• pp.191-192
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• 2018

우리나라는 소상공인 및 자영업에 대한 비중이 매우 높은 가운데, 대형마트 및 SSM(Super Super Market), 편의점 등 기업형 유통 판매점의 확대로 인해서 위기감이 심화되고 있다. 본 논문에서는 다양한 사람들이 무의식적으로 생성해내는 빅데이터의 특성과 많은 유동인구흐름이 많은 전통시장의 특성을 빅데이터로 분석하여 마케팅 정보까지 제공하여 전통시장에서 유익하게 사용될 수 있는 시스템을 제안한다.

• 통상정보연구
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• 제9권3호
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• pp.343-362
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• 2007

Inter-Korean Economic Cooperation needs to a different strategy for developing synergy effects, suggesting they should be selected for role to the unification Korea. In the this paper, Three policy-strategies is suggested as follows. Firstly, Economic Cooperation Driving Committee of Inter-Korean Digital Cultural Content is necessary the recovering of cultual consubstantiality and the operating of business partnership in the divided peninsular. Secondly, To cultural contents cooperation between South-North Korea. the exchange of learning and information must be activated constantly. as the cultural contents is creative industrial, it needs for imagination and creative of human and understanding of a fine arts, a traditional arts. Thirdly, A policy and system is inevitable to construction of Inter Korean Cooperation Digital Contents. South-North Korea, including a North Korea having a excellent cultural heritage, must jointly recovery for cultural contents. Under social-economic system, a consumers of digital contents pay to the format creator many royalty. Therefore, We must prepare to roll out a series of new creative contents, and have competitive advantages in the global market.

• 한국정보시스템학회지:정보시스템연구
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• 제23권1호
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• pp.203-223
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• 2014

Co-creation is a new business strategy that creates "mutual value" for both the firm and the consumer through active collaboration among stakeholders. This includes a broader range of participants compared to the traditional environment. Co-creation is currently being applied to a wide range of fields such as marketing, manufacturing, governance, and other disciplines. With a growing interest in co-creation, it is vital to establish a clearly define concept of what co-creation is and what it encompasses. Therefore, the goal of this study is to define the concept of co-creation, to discover current research trends within this area, and to suggest a future research agenda. For this study extensive literature review on co-creation was carried out, adding this paper to the body of co-creation research as a pioneer study.

• 패션비즈니스
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• 제6권4호
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• pp.125-140
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• 2002

The purpose of this study is confirming the design characteristics and brand strategies of Ralph Lauren's products through the advertising pictures on internet website. Methods of this study are the analysis of his brand growth process, concept strategy and designs by web promotion sites. Also this study defined his brand character and fashion mind. The Results are as follows. 1) Ralph Lauren's concept strategies are 1. Convert british type into American style 2. Presentation an American life style 3. Marketing strategy using life style and IT business. 2) Ralph Lauren's designs characters are 1. Rich and simple style by preppy look 2. Traditional wear of noble taste 3. Western style of American reclamation period 4. Using of comfortable material 5. Unique colors which are simbolic. Today, his classic and preppy designs all draw upon an image of old word wealth and luxury and he pioneered the concept of clothes as part of a lifestyle environment.

• 한국유통학회지:유통연구
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• 제1권1호
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• pp.223-237
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• 1996

The emergence of the cable television era has spawned the introduction of many new television programming formats such as all-news channels, movie channels, channels catering to cultural events, channels for women, and many others. One of the new programming formats that is expected to have interesting implications for marketing is the home shopping channel. As we have observed in other countries, this new form of distribution may potentially have a major impact on the traditional retail industry. This paper presents a model of home shopping channel viewing behavior. This model is then used to formulate optimal product presentation strategies that may aid managers in the design of home shopping programs. Specifically, by formulating a profit-maximization problem based on tile model, we derive the optimal length of product presentations and explore its properperties through simulating various situations. The discussion of these properties provide insights about making strategic decisions regarding product presentations.

• 산업융합연구
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• 제9권1호
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• pp.15-31
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• 2011

Recently, elderly populations are coming out as the first magnitude consumers. The purpose of the study is analyze the basic data useful to get the public attention concerning the development of the market for elderly by looking into the types of lifestyle and the store choice factors which may influence the elderly women consumer. This survey was performed on individuals of age 50 and older women. the types of lifestyle for elderly women consumer were classified into 3 types; self-oriented. traditional, family oriented, family oriented. Each group showed different store choice factors that affect purchase of clothing; ease of returning product, discount for best customer, delivery service, convenience in-store and parking, all fashion item, store ambience and interior decoration were significant difference. The result of the study will be very useful in establishing the relevant elderly marketing strategies and in providing the business opportunities of the market for elderly consumers.