Broadcasting Adaptation in the Streaming Era: Industrial Transformation in the Digital Revolution

Riza Andrian Ibrahim, R. A. Hidayana, Rifki Saefullah
{"title":"Broadcasting Adaptation in the Streaming Era: Industrial Transformation in the Digital Revolution","authors":"Riza Andrian Ibrahim, R. A. Hidayana, Rifki Saefullah","doi":"10.46336/ijlcb.v2i2.107","DOIUrl":null,"url":null,"abstract":"In an era of ever-evolving streaming revolution, the broadcasting industry is facing major transformation to adapt and survive. Broadcasters need to adopt new strategies in business models and monetization, such as combining subscriptions, individual purchases, data-driven advertising, as well as partnerships with large streaming platforms through a hybrid approach. Investing in producing unique and engaging original content is also critical to differentiate yourself from competitors and cater to diverse audience preferences by exploring new genres and formats. In terms of technological infrastructure, increasing network capacity, servers and hardware are needed to support high-quality streaming, as well as paying attention to security and redundancy to ensure continuity of operations. Moreover, data measurement and analytics are key by developing new, relevant metrics to measure content performance, understand consumer behavior and preferences, and optimize monetization strategies. Leveraging data also allows for better personalization of content according to viewers' individual interests. By adopting a comprehensive approach in all these aspects, broadcasters can adapt effectively and achieve long-term success in an increasingly competitive streaming era.","PeriodicalId":512708,"journal":{"name":"International Journal of Linguistics, Communication, and Broadcasting","volume":"4 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Linguistics, Communication, and Broadcasting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46336/ijlcb.v2i2.107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In an era of ever-evolving streaming revolution, the broadcasting industry is facing major transformation to adapt and survive. Broadcasters need to adopt new strategies in business models and monetization, such as combining subscriptions, individual purchases, data-driven advertising, as well as partnerships with large streaming platforms through a hybrid approach. Investing in producing unique and engaging original content is also critical to differentiate yourself from competitors and cater to diverse audience preferences by exploring new genres and formats. In terms of technological infrastructure, increasing network capacity, servers and hardware are needed to support high-quality streaming, as well as paying attention to security and redundancy to ensure continuity of operations. Moreover, data measurement and analytics are key by developing new, relevant metrics to measure content performance, understand consumer behavior and preferences, and optimize monetization strategies. Leveraging data also allows for better personalization of content according to viewers' individual interests. By adopting a comprehensive approach in all these aspects, broadcasters can adapt effectively and achieve long-term success in an increasingly competitive streaming era.
流媒体时代的广播适应性:数字革命中的产业转型
在流媒体革命不断发展的时代,广播业正面临着适应和生存的重大转型。广播公司需要在商业模式和货币化方面采取新的战略,例如将订阅、个人购买、数据驱动型广告以及通过混合方式与大型流媒体平台合作结合起来。投资制作独一无二、引人入胜的原创内容对于从竞争对手中脱颖而出以及通过探索新类型和新形式来迎合不同受众的喜好也至关重要。在技术基础设施方面,需要增加网络容量、服务器和硬件,以支持高质量的流媒体,同时还要注意安全和冗余,以确保运营的连续性。此外,数据测量和分析也很关键,可以通过开发新的相关指标来测量内容性能、了解消费者行为和偏好,并优化货币化战略。利用数据还可以根据观众的个人兴趣更好地个性化内容。通过在所有这些方面采取综合方法,广播公司可以有效地适应竞争日益激烈的流媒体时代,并取得长期成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信