• Title/Summary/Keyword: 콘텐츠 비즈니스

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Structural Relation between Antecedents and Consequences of Web Site's Trust of Venture Company (벤처기업의 웹사이트에 대한신뢰의 선행요인과 결과요인의 구조적 관계)

  • Kwak, Won Seob
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.8 no.4
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    • pp.25-35
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    • 2013
  • The main objective of this study is to investigate the structural relation between antecedents and consequences of web sites' trust of venture company. It examines consumer perceptions trust in a web site and address following research questions; what factors influence consumer trust in a web site and what specific web site cues are associated with trust, satisfaction, and intention? We test our hypothesis in a empirical data from 123 consumers across 3 web sites of venture companies. By factor analysis, the results show that web site characteristics are such as design, business function, interface, technology, community, and contents of each web site. We also find that web site characteristics such as design, interface, technology, and community can influence significantly satisfaction of web site, and design and contents of web site can influence consumer's trust. And the results show that trust influence behavioral intention through the satisfaction. The results offer important implication for web site strategies of venture company that include the manipulation of factors influencing web site trust. And the future directions of the present research are discussed.

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Design and Implementation of Web-based SWOT Analysis Supporting Tool (웹 기반의 SWOT 분석 지원도구 설계 및 구현)

  • Hwang, Jeena;Seo, Ju Hwan;Lim, Jung-Sun;Yoo, Hyoung Sun;Park, Jinhan;Kim, You-eil;Kim, Ji Hui
    • The Journal of the Korea Contents Association
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    • v.17 no.7
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    • pp.1-11
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    • 2017
  • The best business strategy leading to innovation and productivity can be achieved by carefully analyzing internal and external environments of a company. Many companies often require, but difficult to find a tool to determine their own internal/external environmental factors including strengths, weaknesses, opportunities and threats(SWOT). SWOT is one analytical base model that is utilized in this research to design semi-automated environmental analysis process. This study investigates on SWOT generation system that is built on existing analysis database created by experts in each field. Companies can search and choose their best expressing environmental elements that are stored in the database. This semi-automated SWOT tool is expected to contribute that companies can recognize their internal capabilities more accurately, and help consider external environment changes around them.

Technical Architecture for Implementation and Adoption of Database Encryption Solution (데이터베이스 암호화 솔루션 구현 및 도입을 위한 기술적 아키텍처)

  • Lee, Byoung-Yup;Lim, Jongtae;Yoo, Jaesoo
    • The Journal of the Korea Contents Association
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    • v.14 no.6
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    • pp.1-10
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    • 2014
  • Through the development of internet mobile devices and online business activation, sensitive data of unspecified user is being easily exposed. In such an open business environment, the outflow of sensitive personal information has often been remarked on recently for which adoption of encryption solution for database became top priority in terms of importance. In 2011, government also legislated for the protection of personal information as an information network law, and is now applying the law to a variety of industries. Firms began to comply with these regulations by establishing various measures for protection of personal information and are now quickly introducing encryption solution to reinforce security of personal information they are managing. In this paper, I present architecture and technological parts that should be considered when introducing security solution.

Development of Adverse Drug Event Surveillance System using BI Technology (BI기술을 적용한 약물부작용감시시스템 개발)

  • Lee, Young-Ho;Kang, Un-Gu;Park, Rae-Woong
    • The Journal of the Korea Contents Association
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    • v.9 no.2
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    • pp.106-114
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    • 2009
  • In this study, we are analysing adverse drug events and proposing a technical structure of "adverse drug event surveillance system" using business intelligence technology, hoping that we can use the system commonly and actively. It is the recent trend to adopt both of electronic review and manual review process to surveil adverse drug events and this study construct CDW applying ETL in BI Technology. As the result of analysis, the data pool included 701 doctors who prescribed and 3059 patients(1528 male, 1531 female), of total 318,222 cases, 2,086cases(0.6%) were suspected as having adverse drug events. And the single type of T.bilirubin> 3mg/dL(ADE type-LabR0005) was the most common(548 among 2085 cases) within the framework of signals.

Implement of The Authoring Tool for WIPI Business Program using UIDL(User Interface Description Language) (사용자 인터페이스 명세 언어를 이용한 위피 비즈니스 프로그램 저작도구 구현)

  • Lee, Dong-Su;Park, Ki-Chang;Kim, Byung-Ki
    • The Journal of the Korea Contents Association
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    • v.9 no.2
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    • pp.152-162
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    • 2009
  • At present, Authoring tools, which are used to develop the WIPI applications are less convenient to be coded. Usually, the programming tools only focus on the grammar while scarcity of visualization. Developer forced directly codes all times during the development by this cause. As a procedure for rapid WIPI Application Development, in this paper, WIPI API High Level Component is first visualized, in order words, graphic control is developed. Second this control is used in designing the mobile layout. Then UI Markup Language and source code can be generated automatically. With this view, we propose the JIML(Jlet Interface Markup Language) with UI Markup Language based XML of WIPI Jlet Platform and also present the transformable rule for generation to the WIPI code about WIPI Jlet UI from offered JIML. Also we implement the WIPI Jlet Generation System to make the generation to JIML, WIPI code. The Implemented System provides efficiency when developing WIPI Business Application, and helps to enable rapid development.

Multi-Source/Multi-Use Model of Storytelling Related to Patent (특허 연계 스토리텔링의 멀티소스/멀티유즈 모델)

  • Lee, Ga-Hee;Lee, Sang-Zee
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.447-456
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    • 2015
  • In this paper a new model of storytelling related to patent in the field of business as a sort of Intellectual Property(IP) was proposed. The patent related storytelling is investigated in the view points of variety of customers, purposes and applications which is different from the conventional OSMU, transmedia or crossmedia storytelling. In business there are several stages related to patent such as the initial conceptualization and development of technology, apply for and registration of patent, legal conflict like patent invalidation trial and action for infringement of patent and damages, and the commercialization stage like development of product based on patent, advertisement and marketing. Multiple sources optimized to the purpose in each stage of patent related business as well as to multiple convergence application of a patent. Similarly, multi-use refers to the fact that storytelling can be applied in each stage of patent oriented business. The effectiveness and usefulness of proposed MSMU model is also investigated.

A Comparative Study on the Evolution Stage of E-Commerce & Smart Commerce Service Focused on the Extended Spiral Evolution Model (E-커머스, 스마트 커머스의 단계별 진화에 따른 비교 연구 - 나선형 진화 모형의 확장을 중심으로)

  • Lee, Sang-Ok;Lee, Sang-Ho
    • Journal of Digital Contents Society
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    • v.18 no.7
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    • pp.1281-1291
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    • 2017
  • This study examines the evolution of e-commerce industry over the past 20 years until the emergence of a new type of commerce, smart commerce, focused on Facebook. The researcher explained the evolutionary process step by step, focusing on the evolution of business model, evolution of platform, evolution of customer service value, analysis and evaluation, applying spiral evolution theory, Based on the axes, we applied the exploration and exploitation theory from the viewpoint of the operator and the user, analysis of innovative technology and customer feedback, and proposed an innovative business model. And researchers expect that theoretical and practical contribution of e-commerce industries and policies, through study of industry evolution.

A Study on the Interest of SNS Users according to New Media Fashion Content Types -Focus on Vogue Korea's Official Instagram- (뉴미디어 패션 콘텐츠 유형에 따른 사용자의 SNS 관심도 연구 -보그 코리아 공식 인스타그램 중심으로-)

  • Lee, Chungsun;Lee, Seunghee
    • Journal of Fashion Business
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    • v.24 no.1
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    • pp.75-87
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    • 2020
  • The purpose of this study is to find trends in new media fashion content by analyzing the fashion content of the official Instagram accounts of domestic fashion magazines that are being transformed by digital media. The framework for these analysis of fashion content type and methods of production is based on one used in an earlier research project. Empirical analysis is conducted on Vogue Korea's official Instagram accounts, using the highest number of major views as the secondary measure of interest. After screening for fashion content in posts on the Vogue Korea account for four months, 291 short video postings were extracted to analyze the number of views the postings received. The results were categorized as 'star', 'show/exhibition', 'product', 'shop', 'fashion film', 'designer', or 'event', included in the data are the number of postings by type and the number of views by post. Based on the characteristics of the creator and the editing, the posts were classified into 'professional production highlight', 'professional production private', 'UCC' or 'GIF' videos, the number of views per post were also collected. The research results show different levels of interest depending on the type of fashion content, and also on the way the videos were produced. The study also investigated how the combination of these two factors affects interest. When producing a new media fashion content, combining a 'star' type post with 'professional production private' video content was most popular. The selection of production method is therefore important even given the same type of content.

Semantic Structure Represented in College Presidents' Welcome Greetings Using Network Analysis : Daegu & Gyeongbuk Provinces (연결망 분석을 활용한 대학 총장 인사말의 의미론적 구조: 대구·경북 지역을 중심으로)

  • Son, Ji-Hoon;Kim, Jae-Hun;Park, Han-Woo
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.24-33
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    • 2021
  • This study examined a semantic relationship expressed in college presidents' welcome greetings in order to explore the promotion strategies and future direction of universities in Daegu & Gyeongbuk provinces in South Korea. Greetings were collected from university websites as of September, 2020. According to word frequency analysis, "everyone," "welcome," and "visiting" were mostly used in the headlines. In the body texts, "college" and "education" were frequently paired. While the two- & three-year colleges focus on industrial and technical capabilities, four-year universities tend to emphasize educational excellence and academic research performance. This study is valuable in that it understands the direction that universities in Daegu and North Gyeongsang Province put forward amid the decreasing school-age population and the changing social environment.

Deep Learning-based Person Analysis in Oriental Painting for Supporting Famous Painting Habruta (명화 하브루타 지원을 위한 딥러닝 기반 동양화 인물 분석)

  • Moon, Hyeyoung;Kim, Namgyu
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.105-116
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    • 2021
  • Habruta is a question-based learning that talks, discusses, and argues in pairs. In particular, the famous painting Habruta is being implemented for the purpose of enhancing the appreciation ability of paintings and enriching the expressive power through questions and answers about the famous paintings. In this study, in order to support the famous painting Habruta for oriental paintings, we propose a method of automatically generating questions from the gender perspective of oriental painting characters using the current deep learning technology. Specifically, in this study, based on the pre-trained model, VGG16, we propose a model that can effectively analyze the features of Asian paintings by performing fine-tuning. In addition, we classify the types of questions into three types: fact, imagination, and applied questions used in the famous Habruta, and subdivide each question according to the character to derive a total of 9 question patterns. In order to verify the feasibilityof the proposed methodology, we conducted an experiment that analyzed 300 characters of actual oriental paintings. As a result of the experiment, we confirmed that the gender classification model according to our methodology shows higher accuracy than the existing model.