• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.407-408
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• 2011

문화산업 내 연예매니지먼트 산업은 콘텐츠의 활용 가능성이 매우 높은 고부가가치 산업으로 대중문화 및 미디어의 시대가 도래 하면서 나타난 주요한 현상 중 하나로 스타를 들 수 있다. 스타는 대중 매체에 반복적으로 등장하면서 수많은 수용자가 미디어를 소비하며 발생한 21세기의 중심적인 문화현상으로 문화 상품으로의 스타, 스타와 팬덤의 소통현상, 이러한 현상은 연예매니지먼트사의 스타의 콘텐츠화로 이어지고 있으며 다양한 마케팅으로 이익을 창출하고 있다. 하지만 이러한 마케팅이 아직까지 급변하는 기술 및 미디어의 발전에 발맞추어 나가지 못하고 있는 실정으로 앞으로의 스타콘텐츠 마케팅은 어떤 정보전달 매개체보다 강력한 수단인 휴대전화, 즉 스마트폰의 떠오르는 고부가가치 산업인 애플리케이션을 활용하여야 할 것이다. 이러한 측면에서 애플리케이션을 활용한 마케팅이 미치는 영향을 사례로 연예매니지먼트 산업의 스타콘텐츠 마케팅의 방향이 애플리케이션을 활용한다면 더욱 효과를 이룰 것이다.

• Korean journal of communication and information
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• v.62
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• pp.119-139
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• 2013

Star is riddled with myth while they form the star power and support advertisers for profit realization. Their influence on society and audiences grows day by day. In particular, advertisers depend on star power when they sell their products. This article analyzed the nature of the star power dominating media resources and offering the distorted picture of consumer culture. I take a political economic view of consumer capitalism and star. The article shows how stars contribute to the accumulation of capital and defense of class relations in the consumer culture.

• Review of Culture and Economy
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• v.20 no.3
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• pp.61-85
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• 2017

It is recognized universally that international cultural exchanges have the potential to weaken ethnic rivalries and conflicts and promote cultural diversity rather than commercial interests. However, there are often cases in which these exchanges are transformed into private businesses with a great success in markets due to changes in cultural consumption patterns. This research aims to analyze the performance of international cultural exchanges and to develop a policy model that can guide the overseas market performance for Korean traditional performing arts. This study analyzes domestic and foreign cases for comparison. The domestic case is drawn from the research report published by Korea Arts Management Service and the foreign case is Ireland's Riverdance. The results of this study indicate that the policy political model in which a traditional culture may be translated globally with innovative performing activities has the potential to raise market performance overseas.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.445-452
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• 2021

This paper is an experimental study using eye-tracking on the visual attention of TV entertainment programs with PPL products being shoveled by the acceptor. As a result of analysis, first, there was no difference in the exposure time of the PPL product, which is deemed to have little effect on the subject's attention. Second, there was no difference in the PPL product's prominence, and we could see that the focus was on subtitles or the faces of the cast. Third, the concentration of attention on PPL products was higher when there were more famous cast members than there were when there were low-profile cast members, and the appearance of famous cast members was judged to be very effective in order to focus more attention on PPL products. In conclusion, when exposing PPL products in entertainment programs, it is believed that the more popular the cast members appear on entertainment shows, such as famous broadcasters, celebrities, and stars, the more effective the PPL products are, rather than the exposure time and prominence of PPL products, the more effective the companies will be in advertising the popular and likable celebrities.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.731-737
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• 2024

This study conducted a quantitative research on the artistic perception and acceptance of value among buyers of commodified digital art known as NFT artworks. NFTs, digital assets, have shown rapid growth as investment products, but recently there has been a trend of declining value. However, NFT art, characterized by uniqueness and scarcity, continues to undergo continuous development to create new opportunities and values. Nonetheless, there are also negative opinions regarding NFT art itself as a form of technological art, as well as concerns about copyright disputes and fears of a bubble due to the conversion of physical artworks into NFTs. Predicting the value of artworks targeting specific demographics is difficult, and the value of innovative art such as NFT art, which changes along with the fluctuation of cryptocurrency values, is even more challenging to predict. Therefore, through research on the buyers who play a crucial role in the growth and development of this new form of art, the study aims to contribute to the expansion of NFT art.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.61-71
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• 2014

Recently social shopping, combining e-Commerce with Social Network Service, become a brand-new eBusiness model. In this paper, we aim to identify the structural relationship of the factors affecting the intention of using social shopping. Reviewing the previous works of social shopping, internet shopping and TAM (Technology Acceptance Model), we extract factors affecting the intention of using social shopping and build a structural research model among these factors. To analyze the structural relationship among theses factors, we perform an empirical study - gathering data from a survey and analyzing gathered data using EFA (Exploratory Factor Analysis) and SEM (Structural Equation Model) to identify the structural relationship. We also analyze moderating effect of past experience of social shopping and gender. As a result, We also can find that two factors - Perceived usefulness and Expected enjoyment - are the key factors influencing acceptance of social shopping and that more segmented strategies are required to attract customers since factors affecting Intention to use are somewhat different according to past experience and gender of respondents.

• Journal of Distribution Research
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• v.12 no.2
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• pp.103-129
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• 2007

One of the most enduring concepts in the history of marketing thought relates to the classification of consumer goods. The product classification theory first proposed by Copeland(1923) has, with little modification, survived to the present day, and continues to be endorsed by the American Marketing Association and other related institutions some 80 years after it was first published. In truth, Copeland's classification is now outdated and bears little, if any, relevance to modern product advertising, retailing and consumption. In particular, it can not accommodate the fact that, in modern societies, consumer preoccupations with style, personal identity and status have meant that the social characteristics of goods, heavily promoted by brand managers who understand their markets, are key determinants of consumer choice and buyer behavior. In this respect, the author attempted to explore the reasons why product classification theory has been unresponsive to changes in market conditions over so many years and argue that its failure to embrace the many social influences on consumption and on consumer behavior is now its most serious weakness. And also, the author proposed the new categorization system of goods, based on the several existing literatures.

• International Commerce and Information Review
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• v.2 no.1
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• pp.1-28
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• 2000

IT 혁명으로 전자적인 활동이 전 사회의 중심 축으로 이루어지고, 또한 컴퓨터를 이용한 정보처리와 통신기술의의 눈부신 발달에 힘입어 기업의 Business에 커다란 변화를 초래하게 되었다. 특히, 인터넷이라는 환경하에서 전자상거래는 급속하게 성장하고 있으며, 기업은 전자상거래 모델을 앞다투어 개발하면서 새로운 E-Business 환경을 수용하고 있다. 또한 기업은 무역업무에 이러한 전자상거래를 도입하면서 국제간 거래의 활성화를 위해 노력하고 있지만, 국채간 사이버 무역이 안고 있는 여러 가지 애로점을 가지고 있다. 그 중에서 국제간 전자결제에 과한 문제이다. 인터넷을 이용한 무역업무를 실행시키고, 활성화하기 위한 하나의 결제방안을 제시해 보면 제3자에 의한 결제 시스템으로서 인터넷 서비스 제공업자, S/W 개발업체, 은행과 신용카드회사를 비롯한 금융기관 등은 결제시스템을 구축하는 방안이 강구될 수 있다. 또한 이 시스템에서는 다양한 판매자의 제품을 소개하고 일정 시간간격 또는 특정 구매자의 총누적 거래대금이 일정수준에 이를 때에 결제함으로써 신용카드를 지불수단으로 사용하는 경우에도 소액거래를 지원할 수 있다. 또한 전자결제제도가 성립되기 위해서는 전자자금거래의 규제를 위한 법 제도적인 측면의 정비가 시급하다. 따라서 각종 거래의 결제에 관한 법적관계는 물론 금융관련 법률을 기본으로 하여 새로운 접근방안을 마련해야 할 것이다. 이와 같은 사항들을 고려함으로써 사이버 환경의 활성화를 도모할 수 있다.

• Journal of KIISE:Databases
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• v.33 no.1
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• pp.102-116
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• 2006

Electronic catalogs (or e-catalogs) hold information about the goods and services offered or requested by the participants, and consequently, form the basis of an e-commerce transaction. Catalog management is complicated by a number of factors and product classification is at the core of these issues. Classification hierarchy is used for spend analysis, custom3 regulation, and product identification. Classification is the foundation on which product databases are designed, and plays a central role in almost all aspects of management and use of product information. However, product classification has received little formal treatment in terms of underlying model, operations, and semantics. We believe that the lack of a logical model for classification Introduces a number of problems not only for the classification itself but also for the product database in general. It needs to meet diverse user views to support efficient and convenient use of product information. It needs to be changed and evolved very often without breaking consistency in the cases of introduction of new products, extinction of existing products, class reorganization, and class specialization. It also needs to be merged and mapped with other classification schemes without information loss when B2B transactions occur. For these requirements, a classification scheme should be so dynamic that it takes in them within right time and cost. The existing classification schemes widely used today such as UNSPSC and eClass, however, have a lot of limitations to meet these requirements for dynamic features of classification. In this paper, we try to understand what it means to classify products and present how best to represent classification schemes so as to capture the semantics behind the classifications and facilitate mappings between them. Product information implies a plenty of semantics such as class attributes like material, time, place, etc., and integrity constraints. In this paper, we analyze the dynamic features of product databases and the limitation of existing code based classification schemes. And describe the semantic classification model, which satisfies the requirements for dynamic features oi product databases. It provides a means to explicitly and formally express more semantics for product classes and organizes class relationships into a graph. We believe the model proposed in this paper satisfies the requirements and challenges that have been raised by previous works.

• Journal of KIISE:Software and Applications
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• v.28 no.2
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• pp.179-191
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• 2001

Comparison shopping is a merchant brokering process that finds the best price for the desired product from several Web-based online stores. To get a scalable comparison shopper, we need an agent that automatically constructs a simple information extraction procedure, called a wrapper, for each semi-structured store. Automatic construction of wrappers for HTML-based Web stores is difficult because HTML only defines how information is to be displayed, not what it means, and different stores employ different ways of manipulating customer queries and different presentation formats for displaying product descriptions. Wrapper induction has been suggested as a promising strategy for overcoming this heterogeneity. However, previous scalable comparison-shoppers such as ShopBot rely on a strong bias in the product descriptions, and as a result, many stores that do not confirm to this bias were unable to be recognized. This paper proposes a more scalable comparison-shopping agent named MORPHEUS. MORPHEUS presents a simple but robust inductive learning algorithm that antomatically constructs wrappers. The main idea of the proposed algorithm is to recognize the position and the structure of a product description unit by finding the most frequent pattern from the sequence of logical line information in output HTML pages. MORPHEUS successfully constructs correct wtappers for most stores by weakening a bias assumed in previous systems. It also tolerates some noises that might be present in production descriptions such as missing attributes. MORPHEUS generates the wrappers rapidly by excluding the pre-processing phase of removing redundant fragments in a page such as a header, a tailer, and advertisements. Eventually, MORPHEUS provides a framework from which a customized comparison-shopping agent can be organized for a user by facilitating the dynamic addition of new stores.