An Empirical Study of Factors that Influence the Willingness to Pay for Online News
- 18 December 2013
- journal article
- research article
- Published by Taylor & Francis Ltd in Journalism Practice
- Vol. 8 (6), 742-757
- https://doi.org/10.1080/17512786.2014.882056
Abstract
Drawing on the theory of the economics of information, this study sheds light on the factors that influence willingness to pay for online news, using a telephone survey of 570 US (from the Pew Research Center) adults selected at random. Results of the logistic regression analysis revealed relationships between paying intent and predictor variables such as demographics (age and income), purchase of other digital products (online movies or TV content, software programs, eBooks and applications) and media use (Twitter). However, independent variables such as gender (demographics), video games and music files (purchase of other digital products) were not statistically significant. Future research on the economics of news may take into account these findings focused on studying paying intent.Keywords
This publication has 37 references indexed in Scilit:
- Paying for What? How Much? And Why (Not)? Predictors of Paying Intent for Multiplatform NewspapersInternational Journal on Media Management, 2012
- Are News Media Substitutes? Gratifications, Contents, and UsesJournal of Media Economics, 2011
- A Modified News Micropayment Model for Newspapers on the Social WebInternational Journal on Media Management, 2011
- The Brand Management Crisis Facing the Business of JournalismInternational Journal on Media Management, 2011
- Procesos de convergencia en la comunicación empresarial. El caso de las oficinas de prensa especializadas en tráfico y seguridad vialEl Profesional de la Información, 2010
- PAID CONTENT STRATEGIES FOR NEWS WEBSITESJournalism Practice, 2007
- Internet LiteracyPublished by Wiley ,2004
- Revenues for Online Newspapers: Owner and User PerceptionsElectronic Markets, 2002
- Seeking news via the pager: An expectancy‐value studyJournal of Broadcasting & Electronic Media, 1999
- An Attitude Model for the Study of Brand PreferenceJournal of Marketing Research, 1972