標題: Application of the Long Tail Economy to the Online News Market: Examining Predictors of Market Performance
作者: Huang, J. Sonia
Wang, Wei-Ching
傳播與科技學系
Department of Communication and Technology
公開日期: 2014
摘要: The online news market worldwide has met several challenges, one of which is the lack of sustainable business models. The long tail is a concept defined by Chris Anderson to describe a business model used by the majority of Internet firms and ecommerce stores. Is the long tail model crucial to the news media\'s competitive market capacity today? The study integrates relevant economic concepts of production costs, distribution costs, search costs, and market performance to construct a long tail economy for online news. Using survey, third-party traffic metrics, and content analysis, this study found that the traffic performance of online news sites was significantly impacted by long tail forces, but the impact had not transferred to the news sites\' financial performance. The synthesis provides rich explanations of how the long tail economy can be applied to online news to reveal the forces that both drive and constrain its performance.
URI: http://hdl.handle.net/11536/25123
http://dx.doi.org/10.1080/08997764.2014.931860
ISSN: 0899-7764
DOI: 10.1080/08997764.2014.931860
期刊: JOURNAL OF MEDIA ECONOMICS
Volume: 27
Issue: 3
起始頁: 158
結束頁: 176
顯示於類別:期刊論文


文件中的檔案:

  1. 000340483000004.pdf