Predicting Streaming Audiences for a Channel’s On-Demand TV Shows: Discerning the Influences of Choice Architecture, Consumer Agency, and Content Attributes-Reference-Cited by-同舟云学术

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Predicting Streaming Audiences for a Channel’s On-Demand TV Shows: Discerning the Influences of Choice Architecture, Consumer Agency, and Content Attributes

Published:2023 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Thurman Neil J.,Klatt Antonia,Raj Hritik,Taneja Harsh

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference43 articles.

1. TV-Series'; Length, 'Medium'. Reference categories used for model 2: Genre, 'Factual' and 'Comedy'; Format;TV-Series' and 'Movie'; Length

2. What makes online content viral;J Berger;Journal of Marketing Research,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An audience studies’ contribution to the discoverability and prominence debate: Seeking UK TV audiences’ ‘routes to content’;Convergence: The International Journal of Research into New Media Technologies;2023-12-18

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