• Title/Summary/Keyword: Media Business

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A Study on the Business Model of a Fan Community Platform 'Weverse'

  • Song, Minzheong
    • International journal of advanced smart convergence
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    • v.10 no.4
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    • pp.172-182
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    • 2021
  • We look at the business model development of a fan community platform 'Weverse' from two-sided platform (TSP) to multi-sided platform (MSP) and investigate its platform business model. From the Rocket Model's theoretical perspective, the results reveal that Weverse firstly focuses on inviting artists as many as possible starting from BTS, then attracts new artists' fans naturally. For success of this TSP, it forms MSP, 'Weverse Shop' to meet two sides' relevant needs timely and filtered. In third stage of connection, various partnerships are attempted in terms of open platform strategies. For instance, by combining 'VLive' and Weverse, Naver's fan platform business is transferred to Weverse. For core transaction through direct and indirect monetization, several cobranding activities are tried. Lastly, regarding optimization, newly born Weverse being launched in the first half of 2022 is supposed to create further synergies with Naver's R&D capabilities in data, AI, and other technologies like metaverse platform 'ZEPETO' which already sells clothing items of Weverse artists.

Metaverse and NFT Business Model Trends and Considerations (메타버스와 NFT 비즈니스 모델현황 및 고려사항)

  • W.H. Seok
    • Electronics and Telecommunications Trends
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    • v.38 no.2
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    • pp.56-65
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    • 2023
  • The combination between metaverse and non-fungible token (NFT), which opens up new opportunities for the media industry, raised expectations for a new economic system and business model. Of course, last year, various institutions and researchers continuously introduce representative metaverse services and business strategies such as Roblox, Fortnite, and ZEPETO. However, as 2022 progresses, the reaction to the metaverse is tepid than expected. Search volume on Google has been continuously decreasing. Furthermore, skepticism, regarded as one of the special phenomena caused by the coronavirus disease 2019 pandemic, is expanding since December 2021. Nevertheless, analysis or contemplation of a new business model related to the metaverse, which is still ongoing, is essential for those who must prepare for the future. The reason is that even if without being activated now, advanced preparation can help when various problems arise. In this study, we look at the metaverse and NFT biz models and estimate a picture of the future. In other words, the social and economic problems that may arise when the business model is expanded are summarized, and technical and policy measures are derived as solutions.

European Creator Economy's Web3.0 Business Model Case Study

  • Song, Minzheong
    • International journal of advanced smart convergence
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    • v.13 no.1
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    • pp.57-68
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    • 2024
  • In this paper, we are interested in how creator economy startups allowing creators to make money from doing that they love. So, we look at European creator economy startups among Web3.0 business model landscape surveyed in 2022, because the US is home of Web2.0 giant platforms like YouTube. Totally seventeen European startups are investigated, and the theoretical logic is the disruptive innovation. We firstly review the survey published in 2022 and utilize the theory of the disruptive innovation to design the research framework including questions with each type of the disruptive innovation. In this paper, we firstly show, Kalao and Gem as NFT ecosystem platforms aim at service convenience. Secondly, Talkbase, Passionfroot, Bildr, Customuse, and Earnr aim at providing creator tools for under-skilled customers. Lastly, when it comes direct monetization with a decentralized business model, CrowdPad, Admix, GOALS, Realm, Dropstar, Pianity, Sonomo, Stage11, Miiji, and ReadyPlayerMe are representative. Despite the relatively small data size, the results are meaningful as they contribute to a more profound comprehension of the Web3.0 business models and offer guidance for future research directions.

Election Prediction on Basis of Sentimental Analysis in 3rd World Countries

  • Bilal, Hafiz Syed Muhammad;Razzaq, Muhammad Asif;Lee, Sungyoung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.928-931
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    • 2014
  • The detection of human behavior from social media revolutionized health, business, criminal and political prediction. Significance of it, in incentive transformation of public opinion had already proven for developed countries in improving democratic process of elections. In $3^{rd}$ World countries, voters poll votes for personal interests being unaware of party manifesto or national interest. These issues can be addressed by social media, resulting as ongoing process of improvement for presently adopted electoral procedures. On the optimistic side, people of such countries applied social media to garner support and campaign for political parties in General Elections. Political leaders, parties, and people empowered themselves with social media, in disseminating party's agenda and advocacy of party's ideology on social media without much campaigning cost. To study effectiveness of social media inferred from individual's political behavior, large scale analysis, sentiment detection & tweet classification was done in order to classify, predict and forecast election results. The experimental results depicts that social media content can be used as an effective indicator for capturing political behaviors of different parties positive, negative and neutral behavior of the party followers as well as party campaign impact can be predicted from the analysis.

The Impact of Business Intelligence on the Relationship Between Big Data Analytics and Financial Performance: An Empirical Study in Egypt

  • Mostafa Zaki, HUSSEIN;Samhi Abdelaty, DIFALLA;Hussein Abdelaal, SALEM
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.2
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    • pp.15-27
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    • 2023
  • The purpose of this research is to investigate the impact of Business Intelligence (BI) on the relation between Big Data Analytics (BDA) and Financial Performance (FP), at the beginning we reviewed the academic accounting and finance literature to develop the theoretical framework of business intelligence, big data and financial performance in terms of definition, motivations and theories, then we conduct an empirical analysis based on questionnaire-base survey data collected. The researchers identified the study population in the joint-stock companies listed on the Egyptian Stock Exchange and operating in the sectors and activities related to modern technologies in information systems, big data analytics, and business intelligence, in addition to the auditing offices that review the financial reports of these companies, and The sector closest to the research objective is the communications, media, and information technology sector, where the survey list was distributed among the sample companies with (15) lists for each company, and (15) lists for each audit office, so that the total sample becomes (120) individuals (with a response rate 83.3%), The results show, First, Big data analytics significantly affect organizations' financial performance, second, Business intelligence mediates (partial) the relationship between big data analytics and financial performance.

Business Strategies and Innovation for Survival During the COVID-19 Pandemic: Evidence from Micro, Small, and Medium Enterprises (MSME) in Indonesia

  • EKASARI, Ratna;GHOFUR, Abdul;ARIF, Donny
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.1
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    • pp.91-100
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    • 2023
  • MSMEs encountered several issues during the COVID-19 pandemic, including decreased sales and capital, difficulties in distribution, trouble obtaining raw materials, decreased production, and employee layoffs. These issues posed a threat to the national economy. The final effect was the company's bankruptcy as a result of its failure to survive a pandemic, which led to the company's downfall. This research aims to find out and analyze MSMEs' business strategy and innovation to maintain their business during the COVID-19 pandemic in Indonesia. This research is qualitative. Researchers got data using interviews, observation, and documentation. The analysis of this research is descriptive. To draw customers during the COVID-19 pandemic, MSMEs use social media or digital marketing, followed by the delivery of orders, promotions, or discounts and the creation of freebies. MSMEs develop new products as part of their ongoing efforts to expand their businesses while upholding standards for quality, value, and customer service. They also adapt to changing consumer tastes and popular food trends while showcasing some of their most intriguing products.

Study on Business Model of e-Sports Industry in Korea (국내 e스포츠산업의 비즈니스 모델에 관한 연구)

  • Yang, Ji-Hoon;Lee, In-Kyu;Lee, Sang-Ho
    • Journal of the Korea Convergence Society
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    • v.9 no.6
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    • pp.163-173
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    • 2018
  • This study aims to diagnose and analyze the business model of domestic e-sports industry and draw its implications. In-depth interviews with business executives of the e-sports teams, the e-sports media, the e-sports stadium and the game companies was had to identify the cost and revenue of each e-sports industry. The results was that the revenue of the e-sports team, stadium and game company mainly consisted of the sponsorship of the parent company. And main revenue of e-sports media was advertising, subscription fees and copyright income, whereas their expenses was the production costs. Especially the purpose of sponsorship of the game companies was not the profit of e-sports, but the promotion of the parent company game. Result implies the necessity of the development of revenue sources, executing the admission ticket charge in stadium and the development of new sponsorship. This study is expected to contribute to opening the new area of the business model of the e-sports industry that was not nearly so far treated, and consequently the development of the e-sports industry in Korea.

U-Bus Advertisement Business Model and System Implementation based on Wireless Networks (무선망 기반의 U-버스광고 비즈니스 모델 및 시스템 구축 방안)

  • Roh, Su-Sung;Kim, Do-Nyun
    • The Journal of the Korea Contents Association
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    • v.10 no.7
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    • pp.88-97
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    • 2010
  • Recently the more convenient services are provided to people in the city in line with the change of city paradigm and the recent development of ubiquitous. For example, Information on bus arrivals an effective advertisement the combination of high technology and departures through smart-phones. However, in respect of the mobile advertisement, because of difficulties such as the means of transferring the mass storage data or the burden of communication charges. there need means to improve such difficulties. This study has been conducted aiming to overcome such difficulties. This study suggests the strategic differentiation plan through the analysis of the media characteristics such as real time service information when in traveling, U-Bus business model in the category of mobile advertisement, etc. and also the concrete system establishment plan from the operation center via network to the delivery of the advertisement through vehicle terminals. In respect that this study suggests the implications as a practical business model through the fusion of high technology and diverse media. It has great significance.