• Title/Summary/Keyword: Internet advertising

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Mobile Advertisement Strategies through Data Mining Techniques (데이터마이닝 기법을 이용한 이동통신 광고 전략)

  • 나종화;김정숙;장영미
    • Survey Research
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    • v.2 no.1
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    • pp.87-108
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    • 2001
  • Recently, the user of mobile and cordless internet is growing rapidly. So the advertising methodologies are appeared on stage through the internet and mobile service. But the current advertisement(AD) service into mobile phones supplies a short-sentence AD using letter-message, and gives mobile phone users an inconvenience by making them first listen to and then check the AD. Until now the AD service using mobile has been on the beginning level. In this study, we suggest the new advertising methodologies and propose both target marketing strategies and demand forecast through the data mining techniques.

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Factors Influencing the Intention to Continue Using the Metaverse: Focusing on the Influence of Social Norms

  • Mina Lee;Minjung Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.51-60
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    • 2023
  • This study aims to examine factors influencing the intention to continue using the metaverse, focusing on the impact of social norms. Specifically, direct and indirect effects of technical characteristics (perceive quality, interactivity, perceived playfulness), user characteristics (self-efficacy, personal innovativeness), and social influence factors (descriptive norm, injunctive norm, subjective norm) on continuous use intention were examined. The role of perceived ease of use and perceived usefulness as a mediator was also examined. An online survey was conducted with 165 college students attending universities in two large cities in South Korea who had used the metaverse. As a result, perceived playfulness, descriptive norm, and perceived usefulness directly influenced continuous use intention. Perceived playfulness, interactivity, and subjective norm influenced continuous use intention indirectly through perceived usefulness. This study theoretically extends the Technology Acceptance Model by specifying social influence in metaverse contexts. Practical implications are provided in terms of marketing strategy for the metaverse industry to continue to grow and develop.

Impact of Image Type and Brand Familiarity on the Effectiveness of Bundling

  • Sungmi Lee
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.100-106
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    • 2023
  • Bundling has become a general promotion strategy in mobile shopping context. Previous research on bundling has mostly focused on bundle frame or price frame. Even though consumers are searching and purchasing the product in mobile channels, little research has investigated the effects of bundling in mobile shopping. The objectives of this study is to examine how different product image of bundle affects consumer's perception and purchase intention differently, and how brand familiarity moderate this influence. A sample of 140 subjects participated in a within-subjects experiment. A bundling composed of two different product image (a single product vs. bundled products) was evaluated by individuals. Brand familiarity (familiar brand vs. unfamiliar brand) were manipulated to test a set of hypotheses. We found that the effectiveness of bundling does not depend on the type of product image and brand familiarity. The findings of our study provide some implications for researchers and marketers. Although there have been studies on the effects of bundle framing on consumer behavior, we suggest new insights regarding bundling based on product image and mobile shopping context.

A Study on Application of Kinetic Typography on the Internet Banner Advertising (인터넷 배너광고에서의 키네틱 타이포그래피의 표현에 관한 연구)

  • Kim, Chang-Rea
    • Archives of design research
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    • v.17 no.4
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    • pp.269-278
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    • 2004
  • Modern high technology has developed from a printing type-oriented culture to sight and hearing-oriented one. Such changes helped raise users' interests and desires on being seen and heard, encouraging research for various usages and types. In particular, with the common use of high speed Internet and firmer standing of Internet as advertising media, Internet banner advertisement has been growing twice as much as the previous year, every year. With this accelerated development of multimedia Kinetic Typography has been used for a variety of forms. During this series of process, the most important one is the expression of the movement of Kinetic Typography. Information able to obtain from the existing way of reading became transferred to the process of multi-dimensional process of obtaining such as seeing and hearing. Accordingly, more effective expression with interesting factors considered together with more activeness for users' obtaining information through Internet, can expect more positive effects. Towards this goal, more various new tries should be made for Internet banner advertisement. In particular, with the larger role in Kinetic Typography to play the role of users' reading for information obtainment, the principles & factors of expression for Internet banner advertisement would be studied, and expression types and structure would be considered, and data from them would be collected and analyzed, to suggest the direction of development.

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A Quality and Pricing Strategy for Web Sites Providing Initial Free Services (초기 무료 서비스를 제공하는 웹사이트의 품질 및 가격전략)

  • Lee Kang-Bae
    • Management & Information Systems Review
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    • v.9
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    • pp.65-80
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    • 2002
  • As the growth of Internet business, many web sites have been developed their own Internet business strategies. Yet, many web sites have difficulties to make profit. In this paper, an economic model is developed to analyze web sites' quality and pricing strategies when they initiate their services as free services and develop advertising services and other charged services. By analyzing the economic model, optimal quality and prices was found. And by analyzing the optimal strategy, I found that web sites should properly decide their market share on initial customer. Finally, the importance of web sites' productivity to make profit is emphasized.

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A Study on the Advertising Creative Based on the Technology Convergence (기술융합에 기반한 광고 크리에이티브에 관한 연구)

  • Jeong, Chang Jun
    • Journal of the Korea Convergence Society
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    • v.6 no.4
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    • pp.235-241
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    • 2015
  • As the broadcast, tele communication and media technology develop, the media are divided into various specialities from the internet to the mobile device. An advertising creative in the field, an innovative changes are taking place that had not been in the era of the passed traditional media TV, newspaper, magazine and etc. It's not but the various media's dividing, also the consumers who use the media are evolving in their media behavior from a passive attitude to a positive one. In other words, They consumers receive the advertising messages with positive attitude to researching the message in the searching tool by themselves and participate, act, and diffuse their acknowledgements. In this thesis, as the advertising creative circumstance like this, these varied advertising creative are tried to explained by the three dimension module that is suggested in this thesis.

A Design of Analysis System on TV Advertising Effect of Social Networking Using Hadoop (하둡을 이용한 소셜네트워킹의 TV광고효과 분석 시스템 설계)

  • Hur, Seoyeon;Kim, Yoonhee
    • Journal of Internet Computing and Services
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    • v.14 no.6
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    • pp.49-57
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    • 2013
  • As 'Big data' has been one of challenging issues, development of new services using Social Network Service (SNS) which is its typical example became active. SNS has developed as a media where everyone communicates at real time and the number of SNS opinion analyzing services is increasing. Meanwhile, new approach to acquire and analyze twitter data becomes necessary in TV advertisement system. This paper proposes LiveAD system, which store and analyze big data such as twitter data as well as analyze TV advertising effect based on twitter data. As a proof of concept, the proposed system has been implemented collecting and analyzing twitter data using Hadoop. The result of collected information over the system increases the chance of analyzing TV advertising effect on twitter in real-time.

A study on the effects of digital content marketing in OTT (Over The Top) service platform: focusing on indirect advertising types (OTT(Over The Top) 서비스 플랫폼에서 디지털 콘텐츠마케팅 효과 연구: 간접광고 유형을 중심으로)

  • Kim, Tae-Yang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.4
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    • pp.155-164
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    • 2020
  • This study measured the effect of PPL(Product Placement: PPL) in OTT(Over The Top) to search a new advertising revenue model according to the change of viewers' video content consumption patterns. On the first, by two research steps, the experiment was carried out using an eye-tracker and then a survey as the second step was administered asking subjects about their attitude about advertising messages, attitude about brand, and intention to purchase the brands used in the experiments. Specifically, the PPL materials used in the experiments were classified with three parts. This study has the meaning as approaching to the PPL research with new methodology by quantitatively access through the eye tracking of the subjects beyond the conventional qualitative measure that depends only on the memory of them. This research aims to find the possibility of indirect advertising as a new revenue model in the OTT environment.

A Exploratory Study according to the Types of Native Advertising - Focus on the Media Platform (네이티브광고의 유형에 따른 탐색적 연구 - 미디어플랫폼을 중심으로)

  • Yu, Hyun-Joong;Chung, Hae-Won
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.7-14
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    • 2020
  • This study was conducted as an exploratory study to redefine and examine what differences from native advertisements defined in previous studies through analysis of the types and formats of native advertisements appearing on media platform. A total of 159 samples in their twenties, and the results of looking at native ads currently appearing on media platform are as follows. First, native ads were running in the order of YouTube, Instagram, and Facebook. Second, it can be seen that it is being executed as a targeted advertisement for the 20s. Third, we could see that native ads are being executed a lot in the form of content or feed. It can be seen that the evolution of native advertising is being executed centering on content, focusing on fun and interest in the form of video, and its form and type are gradually evolving around the platform.

Recommendation System Development of Indirect Advertising Product through Summary Analysis of Character Web Drama (캐릭터 웹드라마 요약 분석을 통한 간접광고 제품 추천 시스템 개발)

  • Hyun-Soo Lee;Jung-Yi Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.6
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    • pp.15-20
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    • 2023
  • This paper is a study on the development of an artificial intelligence (AI) system algorithm that recommends indirect advertising products suitable for character web dramas. The goal of this study is to increase viewers' content immersion and help them understand the story of the drama more deeply by recommending indirect advertising products that are suitable for writing lines for web dramas. In this study, we analyze dialogue and plot using the natural language processing model GPT, and develop two types of indirect advertising product recommendation systems, including prop type and background type, based on the analysis results. Through this, products that fit the story of the web drama are appropriately placed, allowing indirect advertisements to be exposed naturally, thereby increasing viewer immersion and enhancing the effectiveness of product promotion. There are limitations of artificial intelligence models, such as the difficulty in fully understanding hidden meanings or cultural nuances, and the difficulty in securing sufficient data for learning. However, this study will provide new insights into how AI can contribute to the production of creative works, and will be an important stepping stone to expand the possibilities of using natural language processing models in the creative industry.