• Title/Summary/Keyword: media strategy

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Media Groups' Management Strategies: Business Areas, Platform Strategies, Content Distribution Strategies and Business Strategies (미디어그룹의 경영전략 : 사업영역, 플랫폼 전략, 콘텐츠유통 전략, 비즈니스 전략)

  • Kim, Dug Mo
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.157-167
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    • 2016
  • This article was to study the following three purposes. First, to identify and describe the platform strategies, content strategies, and management challenges that currently define the South Korean terrestrial broadcasting business. Second, to analyze from various angles the business area of global media group, in terms of platform strategies, content strategies, and management challenges. Third, to suggest how Korea's terrestrial broadcasting industry can become competitive with media groups. Looking at the digital conversion process and strategy as well as terrestrial broadcasting in each country, when digital switchover point and Action Plan, and the similarities in values and the role of digital terrestrial broadcasting times there are differences may be found.

The Influences on Store Choice Behaviors by Clothing Shopping Orientations and Information Search Activities (의류쇼핑성향과 정보탐색활동이 점포선택행동에 미치는 영향 -부산시에 거주하는 여성소비자를 중심으로-)

  • Ha, Jong-Kyoung
    • Korean Journal of Human Ecology
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    • v.8 no.3
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    • pp.499-509
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    • 1999
  • The purpose of this study is to make up an effective market strategy for distinguishing clothing shops through analysing the influences on store choice behaviors by demographical characteristics, clothing shopping orientations and information search activities as well as analysing the effects of information search activities according to clothing shopping orientations, together with clarifying the dimension of clothing shopping orientations and information search activities. Clothing shopping orientations were factor analyzed resulting five factors, such as Recreational Shopping, Store/Brand Loyalty, Economic Shopping, Fashion Synchronization, Careful shopping. Information search behavior were factor analyzed resulting five factors, such as mass media information, commercial media information, personal information, store information, past experience information. According to a result of looking into the influences of clothing shopping orientations on information search behaviors, as shopping orientation for pleasure, fashion synchronization orientation, brand store royal orientation & economical orientation go high, the search degree of store information & mass media information, commercial media information & personal information, past experience information and personal information raise up respectively more and more. The results of regression analysis at factors affecting the store choice behaviors are significantly different.

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Factors Influencing New Media Subscription Based on Multigroup Analysis of IPTV and DCTV

  • Kang, Sang-Ug;Park, Seungbum;Lee, Sangwon
    • ETRI Journal
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    • v.36 no.6
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    • pp.1041-1050
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    • 2014
  • As the Internet Protocol TV (IPTV) service enters the broadcasting market, the competition intensifies. This paper explains the factors influencing new media subscription and their influential differences on IPTV and digital cable TV (DCTV). We use the information systems success model and gratification opportunity theory to develop our research model. We sample 621 people and collect their responses through web-based measuring software. Structural model analysis shows that the willingness to subscribe to a new broadcasting medium is influenced by three characteristics of the medium: media richness, interactivity, and video quality. Multigroup analysis reveals that motivation to use a medium partially differs between IPTV and DCTV. This research concludes that the IPTV service is not attractive enough to act as a substitute for the already existing DCTV. In addition, for the IPTV service to proliferate, its business model should be promoted with new and differentiated revenue structures and services. The managerial implications in this study help new media businesses set business goals and product functionality, and allocate resources for the continued diffusion of IPTV.

SonicStream: A Network Coding Based Live P2P Media Streaming System With Rich User Experiences

  • Chen, Xiaogang;Ren, Ning;Zhang, Xiaochen;Wang, Xin;Zhao, Jin
    • Journal of Communications and Networks
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    • v.10 no.4
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    • pp.430-436
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    • 2008
  • Recent studies have convinced that network coding can improve the performance of live media streaming in terms of startup delay, resilience to peer dynamics, as well as reduced bandwidth cost on dedicated streaming servers. However, there still exist some strategy drawbacks and neglected problems which need to be further researched. In addition to the commonly used evaluation parameters of the network and user experiences mentioned above, we focus on additional key factors, playback lag and switch lag, which have not been fully explored in previous work. In this paper, we present SonicStream, a novel and fully implemented live peer to peer (P2P) media streaming system with consideration of rich user experiences, including startup delay, playback continuity, playback lag, switch lag, etc. In pursuit of a further enhanced user experience, we revise traditional peer selection/data scheduling methods. Through a series of experimental evaluations and a cautious comparison with the latest similar work $R^2$, the superior performance of SonicStream has been preliminarily verified.

Framing North Korea on Twitter: Is Network Strength Related to Sentiment?

  • Kang, Seok
    • Journal of Contemporary Eastern Asia
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    • v.20 no.2
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    • pp.108-128
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    • 2021
  • Research on the news coverage of North Korea has been paying less attention to social media platforms than to legacy media. An increasing number of social media users post, retweet, share, interpret, and set agendas on North Korea. The accessibility of international users and North Korea's publicity purposes make social media a venue for expression, news diversity, and framing about the nation. This study examined the sentiment of Twitter posts on North Korea from a framing perspective and the relationship between network strengths and sentiment from a social network perspective. Data were collected using two tools: Jupyter Notebook with Python 3.6 for preliminary analysis and NodeXL for main analysis. A total of 11,957 tweets, 10,000 of which were collected using Python and 1,957 tweets using NodeXL, about North Korea between June 20-21, 2020 were collected. Results demonstrated that there was more negative sentiment than positive sentiment about North Korea in the sampled Twitter posts. Some users belonging to small network sizes reached out to others on Twitter to build networks and spread positive information about North Korea. Influential users tended to be impartial to sentiment about North Korea, while some Twitter users with a small network exhibited high percentages of positive words about North Korea. Overall, marginalized populations with network bonding were more likely to express positive sentiment about North Korea than were influencers at the center of networks.

Brand Activism in the Age of Transmedia: Lessons Learned from Business Practices

  • Yoo, Seung-Chul;Piscarac, Diana;Kang, Seung-Mi;Truong, Tu Anh
    • International Journal of Advanced Culture Technology
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    • v.9 no.1
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    • pp.64-69
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    • 2021
  • Brands have begun to act without giving in to the challenges facing our society. Just like the slogan in the novel "The Three Musketeers" by Alexandre Dumas proclaimed, "All for one, one for all!" in the age of transmedia the success of brand activism must reflect the same principle. Specifically, by embracing the big as well as the little stories of consumers scattered everywhere, each and every one should create a huge resonance. This means that brands should use the cultural lever of transmedia so that the various stories of consumers do not fade into oblivion and, furthermore, expand the brand's call to action. By analyzing brand activism cases in business, this study explores the effectiveness of brand activism for advertisers to develop a better understanding of brand communication strategy. Building on findings that show new young generation consumers to favor brands that respond to social, political, and environmental issues and conceptual implications of the snowball effect, this study emphasizes consumer participation in the brand story creation process and the need for brands to aim for high standards of professionalism and accountability, so that they can grow together with their consumers.

The EU's Public Diplomacy in Asia and the World through Social Media: Sentiment and Semantic Network Analyses of Official Facebook Pages of European External Action Service and EU Delegation to the Republic of Korea

  • Yoon, Sung-Won;Chung, Sae Won
    • Journal of Contemporary Eastern Asia
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    • v.19 no.2
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    • pp.234-263
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    • 2020
  • This study aims to assess the quality of the EU's public diplomacy efforts through social media. Specifically, this research explores the headquarters of European public diplomacy (European External Action Service, EEAS) and its subordinate agent (EU Delegation to South Korea, EUDK). The main research question is "how coherently and effectively does the EU execute public diplomacy strategies in the third countries?'' This study employs both quantitative and qualitative approaches―the former for the results presentation and the latter for the results interpretation. The results are summarized in two points. First, both the EEAS and the EUDK maintained an objective position by posting only neutral perspectives on their social media. Second, the narratives of the main actors were the same, but the main themes were different according to their contexts. The analysis discusses the effectiveness of the EU's strategic narratives by focusing on measuring message reception. Its limited findings were that social media postings could not induce the audiences' active discussion of the EU's diplomatic performances. The conclusion suggests that the EU should identify the expectations from its global counterparts and use these to forge the Union's strategic narratives.

Utilizing Natural Language Processing to Compare Perceptions of Metaverse between News Articles and Academic Research (자연어 처리를 활용한 메타버스 보도, 연구 간 인식 차이 비교)

  • Lee, Gyuho;Lee, Joonhwan
    • Journal of Korea Multimedia Society
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    • v.25 no.10
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    • pp.1483-1498
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    • 2022
  • While public interests in the metaverse are growing recently in the Korean media and research, its understanding has not been fully established yet. In this study, we aimed to probe whether the rapid growth in media attention about the metaverse has increased its usage as a buzzword accompanied by an absence of scientific context. We analyzed publications and online news containing "metaverse" from 2020 to 2022. The data analysis methods are 1) time series frequency, 2) keyword network, 3) natural language model. The findings indicate the perception gap about metaverse between research and news articles broadened as its popularity has grown. Research about metaverse gradually expanded its connections with related topics-virtual and augmented realities-focusing on social changes in a remote environment. However, media reporting frequently used "metaverse" as a buzzword rather than explaining its scientific background, stimulating the proliferation of related topics and the dispersion of news content. This study further discusses the need for a media strategy to improve public conception of the long-term development of the metaverse.

IMPROVING SOCIAL MEDIA DATA QUALITY FOR EFFECTIVE ANALYTICS: AN EMPIRICAL INVESTIGATION BASED ON E-BDMS

  • B. KARTHICK;T. MEYYAPPAN
    • Journal of applied mathematics & informatics
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    • v.41 no.5
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    • pp.1129-1143
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    • 2023
  • Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

Emotional Expression of the Virtual Influencer "Luo Tianyi(洛天依)" in Digital'

  • Guangtao Song;Albert Young Choi
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.375-385
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    • 2024
  • In the context of contemporary digital media, virtual influencers have become an increasingly important form of socialization and entertainment, in which emotional expression is a key factor in attracting viewers. In this study, we take Luo Tianyi, a Chinese virtual influencer, as an example to explore how emotions are expressed and perceived through facial expressions in different types of videos. Using Paul Ekman's Facial Action Coding System (FACS) and six basic emotion classifications, the study systematically analyzes Luo Tianyi's emotional expressions in three types of videos, namely Music show, Festivals and Brand Cooperation. During the study, Luo Tianyi's facial expressions and emotional expressions were analyzed through rigorous coding and categorization, as well as matching the context of the video content. The results show that Enjoyment is the most frequently expressed emotion by Luo Tianyi, reflecting the centrality of positive emotions in content creation. Meanwhile, the presence of other emotion types reveals the virtual influencer's efforts to create emotionally rich and authentic experiences. The frequency and variety of emotions expressed in different video genres indicate Luo Tianyi's diverse strategies for communicating and connecting with viewers in different contexts. The study provides an empirical basis for understanding and utilizing virtual influencers' emotional expressions, and offers valuable insights for digital media content creators to design emotional expression strategies. Overall, this study is valuable for understanding the complexity of virtual influencer emotional expression and its importance in digital media strategy.