• Title/Summary/Keyword: Internet media industry

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The analysis of an Animation Effectiveness in the Web (In case of Education portal site) (웹 상에서 애니메이션 효과분석계 (교육 포탈사이트를 중심으로))

  • Shin Soon-Ho
    • Journal of Digital Contents Society
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    • v.2 no.2
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    • pp.199-208
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    • 2001
  • The industries of culture contents is the trend to enforce the power of National competitions in the world economy knowledge foundation which tries to exchange a labor industry to the knowledge business. The spread of internet is the apparently turning point to be devide the world economy into the industrial society and the digital society. Also the communication with internet has been recognized as it is not any more newly means of communication in Korea. Net value which is a multinational internet survey corporation clarified that Korea was the most nation in the world by the result of its research in the rate of using internet. This research look into the characteristic of the media and type of the animation in internet, also analysis a need of user and a degree of convenience of using internet in the web of education site. This study is designed to study the evaluation criteria of web interface with visual perception and to seek its development in relation to the quality of visual perception in case of web animation.

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Teens and College Students' Purchasing Decision Factors of Denim Jeans In the United States

  • Hwang Shin, Su-Jeong;Fowler, Deborah;Lee, Jinhee
    • Fashion & Textile Research Journal
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    • v.15 no.6
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    • pp.971-976
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    • 2013
  • This study provides insight into current social media influences and purchasing power of the young generation in that the size of both of these demographic groups will impact the apparel companies and retail market for the predictable future Denim apparel companies are aware of the discretionary spending power of the Y and Z Generations. The characteristics of current teens are so similar to college-age individuals in that they have grown up with digital technology and they prefer to communicate via social networking sites. Retailers have utilized these social media platforms in order to capture the attention of the generations. Traditionally marketing campaigns have differentiated between teens and the college-age population. However, the teens actually have larger spending power and more discretionary income. A survey consisted of 32 questions pertaining to Internet media influences, influence of people, and decision factors on decisionmaking related to purchasing selection. A random sampling of 163 females responded to a set of questionnaires. Teens, like college students desire to make their own decisions when they select and purchase denim jeans. Overall 40% of them wanted to make their own decisions when purchasing their jeans, however, a significant number are influenced by their friend's opinions (34%) and the opinions of family members (15%). However, celebrities (10%) had the least influence on their decisions. Teens, like colleges students make decisions based on the same decision factors: fit (63%), cost (23%), brand (10%) and color (2%). The most important factor in determining preference was "fit".

A Study on Influencing Factors of Elderly Consumers' Self-Efficacy in Internet Banking Usage: Exploring Moderating Effect of 60s and 70s (고령 소비자의 인터넷 뱅킹 사용 자기효능감의 영향요인에 관한 연구: 60대와 70대의 비교)

  • Ku, Yoonhye;Yang, Su Jin
    • Journal of Korean Home Economics Education Association
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    • v.34 no.4
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    • pp.77-92
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    • 2022
  • Recently, digital transformation in the financial industry has been accelerated, and it has become an important task to improve the level of utilization of Internet banking by elderly consumers, who are vulnerable to Internet use. Accordingly, this study analyzed 3,101 respondents in their 60s or older from the 11th year of the Media Panel Survey to identify demographic, experiential, and psychological factors that affect the self-efficacy of elderly consumers' usage of Internet banking. The main research findings are as follows. First, gender, education, occupation, and income were identified as demographic variables. Second, the Internet shopping experience was identified as an experiential factor. Also, concerns about information security, digital literacy, and high will for problem-solving were identified as psychological factors. Third, as a result of the moderating effect analysis on whether the experiential and psychological factors have different influences according to the group divided into the 60s and 70s, the effect on self-efficacy in the usage of the Internet was classified by age. The results of this study will be able to enrich the discussions related to the intention to utilize technology among elderly consumers by empirically revealing that there are characteristics that cause differences in financial behavior even within one group called the elderly.

Research on Cross-border Practice and Communication of Dance Art in the New Media Environment (뉴미디어 환경에서 무용예술의 크로스오버 실현과 전파에 대한 연구)

  • Zhang, Mengni;Zhang, Yi
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.1
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    • pp.47-57
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    • 2019
  • The end of the 20th century, along with the popularity of new media technology and the rise of new media art, dance as a visual art, and body language art, has the features of more and more rich and changeful. In today's Internet booming new media environment, many different fields, such as film and theater, computer technology, digital art, etc.) with its commonness and characteristics of all kinds of interaction between the creation, produced a new interdisciplinary research with theoretical model. When cross-border interactions between various areas become a hot topic at the same time, the traditional form of dance performances are also seeking new breakthrough. Canada's famous social psychologist McLuhan believes that modern is retrieving lost over a long period of time "overall" feel, return to a feeling of equilibrium. The audience how to have the characteristics of focus on details of visual art back to the "overall" feel worthy of study. At the same time, the new media in today's digital dance teaching in colleges and universities dancing education remains to be perfect and popular, if continue to use the precept of the traditional teaching way blindly, so it is difficult to get from the development of the current domestic dance overall demand. In this paper, the main body is divided into two parts, the first chapter is the study of image device dance performance art, the second chapter is the research of digital dance teaching application system, thus further perspective of media technology to explore dance art crossover practice under the new media environment and mode of transmission.

Development of a Model for Winner Prediction in TV Audition Program Using Machine Learning Method: Focusing on Program (머신러닝을 활용한 TV 오디션 프로그램의 우승자 예측 모형 개발: 프로듀스X 101 프로그램을 중심으로)

  • Gwak, Juyoung;Yoon, Hyun Shik
    • Knowledge Management Research
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    • v.20 no.3
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    • pp.155-171
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    • 2019
  • In the entertainment industry which has great uncertainty, it is essential to predict public preference first. Thanks to various mass media channels such as cable TV and internet-based streaming services, the reality audition program has been getting big attention every day and it is being used as a new window to new entertainers' debut. This phenomenon means that it is changing from a closed selection process to an open selection process, which delegates selection rights to the public. This is characterized by the popularity of the public being reflected in the selection process. Therefore, this study aims to implement a machine learning model which predicts the winner of , which has recently been popular in South Korea. By doing so, this study is to extend the research method in the cultural industry and to suggest practical implications. We collected the data of winners from the 1st, 2nd, and 3rd seasons of the Produce 101 and implemented the predictive model through the machine learning method with the accumulated data. We tried to develop the best predictive model that can predict winners of by using four machine learning methods such as Random Forest, Decision Tree, Support Vector Machine (SVM), and Neural Network. This study found that the audience voting and the amount of internet news articles on each participant were the main variables for predicting the winner and extended the discussion by analyzing the precision of prediction.

A Study on the Application Direction of Financial Industry Metaverse Platform to secure MZ Generation Contact Points (MZ 세대 접점 확보를 위한 금융권 메타버스 플랫폼 활용 방향 연구)

  • Ki-Jung Ryu;Ki-Bum Park;Sungwon Cho;Dongho Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.3
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    • pp.127-137
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    • 2023
  • COVID-19 has not only affected all sectors of society, economy and politics, but also had a huge impact on industry. The non-face-to-face exchange method was essential to prevent infectious diseases, and the generation who experienced it recognizes the importance of a platform that can be quickly accessed anytime, anywhere, and attention is focused on the Metaverse that can accommodate it well. Each financial industry uses a differentiated metabus platform strategy, focuses on new customer service and revenue generation, and is also used as an internal and external communication channel. This paper analyzes the theoretical background of the financial sector metaverse and domestic and international cases, and studies and describes the direction of using the financial sector metaverse platform to secure MZ generation contact points.

The Characteristics and Future Trends of Short-Form Animation (숏폼 애니메이션의 특성과 발전방향에 관한 연구)

  • Lee, Sun-Ju;Han, Je-Sung
    • Cartoon and Animation Studies
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    • s.38
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    • pp.29-51
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    • 2015
  • With the progress in high speed internet networks, mobile devices and social networking, the eco-system of the media has shifted from that where the flow of content was one-way from the producer to the consumer. A so-called 'prosumer' culture has taken root where the consumer himself produces media content. Along with these trends, various video-sharing platforms such as youtube has a method of allocating advertisement profit to the content producer, offering a win-win platform for content pro-sumers. This allows the channels to attract several tens of millions of subscribers and raise an annual income of over 10 billion Won, marking a revolutionary change in the content industry. This paper seeks to analyze video distribution channels and short-form media content that are showing continuous growth to identify new markets where animated content can make progress in an era of online video media platforms, as well as provide a future direction for small teams of creators of animated films to survive and thrive in this environment.

Effects of online game addiction on impulsive crime through Self-control (온라인 게임 중독 특성이 자아통제를 통해 충동성 범죄에 미치는 영향)

  • Lee, Jiyeop;Kwon, Dosoon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.1
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    • pp.135-145
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    • 2017
  • Distribution of online media sharply accelerated in the modern society, leading to robust increase in the time where individuals spend their leisure time on the Internet. One of the most popular entertainments among this is the video game industry, which gradually came to possess the characteristics like violence, cruelty, gambling, and sexuality, in order to gain attention. This study aims to investigate the addiction characteristics of users of domestic online games and to verify the causal relationship of these factors on the factors that affect impulsive crimes through Self-control. For practical verification of this study, survey was conducted for students of W High School in Incheon. This study is meaningful in that it prepared a theoretical foundation in the process of inferring criminal intent for impulsive crimes based on the effects of online games on impulsiveness, aggression, and addiction. It is also significant in that it presented a new mechanism that ego control, which occurred in the process of presenting a new variable of negative effect of online game on the criminal intent of impulsive crime, affects impulsive crime.

A Case Study on an Introduction and the Use of eCRM of the Dairy Industry N Company (유가공 업체 N사(社)의 eCRM 도입과 활용 사례 연구)

  • Baek, Ju-Hyun;Kim, Tai-Young;Lee, Young-Su
    • Information Systems Review
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    • v.11 no.1
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    • pp.133-144
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    • 2009
  • Today, eCRM has been attention as an enterprise information system that systematically manages and utilizes the eCRM customer information visiting Internet home page. On this paper, the case study of N company Korea's leading manufacturers of the dairy industry is been application research in the practices of using optimization tools for analysis of customer information and marketing activities by the introduction of eCRM and doing weblogs analysis. This research is a case study on an introduction and the use of eCRM solutions in dairy industry company. In addition, of the scope and effectiveness for use introduced eCRM explain.

A Study on Influencer Food-Content Sentiment Keyword Analysis using Semantic Network based on Social Network

  • Ryu, Gi-Hwan;Yu, Chaelin;Lee, Jun Young;Moon, Seok-Jae
    • International journal of advanced smart convergence
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    • v.11 no.2
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    • pp.95-101
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    • 2022
  • The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.