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Cited by 102Journalism and Media StudiesNews Media Framing and Political CommunicationPublishing and Scholarly Communication

The DOI matches its Crossref record; 62 of the 63 references it cites were found in a registry or an index.

Content for Free? Drivers of Past Payment, Paying Intent and Willingness to Pay for Digital Journalism – A Systematic Literature Review

O’Brien, Daniel, Wellbrock, Christian-Mathias, Kleer, Nicola·2020·Digital Journalism
DOI 10.1080/21670811.2020.1770112
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Abstract

The advertising-based revenue model for journalism is severely challenged due to the effects of digitization. Providers of journalistic content have therefore put increasing emphasis on paid content strategies in recent years. This article provides a literature review of factors that contribute to consumers’ past payment (PP), paying intent (PI) and willingness to pay (WTP) for digital journalistic content. We identify 17 variables based on 37 articles that influence PP, PI and WTP. While those factors are linked to either consumer(s), the product or its economics, little research examines the psychological needs and motives associated with demand for digital journalism. Due to inconsistent measurements in the literature, however, the results remain ambiguous.

Overview

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Crossref · 10.1080/21670811.2020.1770112

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

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Verification

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Citations

Cites

Research works printed but not linked: 14

  1. Beier Nikolaus, 2018, Tagungsband Multikonferenz Wirtschaftsinformatik (MKWI) Data driven X — Turning Data into Value, 1099
  2. Breidert Christoph, 2006, Innovative Marketing, 2, 8
  3. Campbell, Cecilia, Teemu Henriksson, and Brian Veseling. 2017. “World Press Trends.” World Association of Newspapers and News Publishers. http://www.wan-ifra.org/reports/2017/10/10/world-press-trends-2017.
  4. Goyanes Manuel., 2015, International Journal of Communication, 9, 1505
  5. Jere Mlenga, 2018, Proceedings of the 2018 Annual Conference of the Emerging Markets Conference Board, 97
  6. Lin Tung-Chin, 2013, Journal of Electronic Commerce Research, 14, 315
  7. Oechslein Oliver, 2013, Proceedings of the 19th Americas Conference of Information Systems, 2699
  8. Oechslein Oliver., 2014, BLED 2014 Proceedings, 38
  9. Peng Guo Chao, 2007, 6th European Conference on Research Methodology for Business and Management Studies, 229
  10. Salaverría Ramón., 2019, El Profesional de la Información, 28, 1
  11. van Westendorp Peter., 1976, Paper Presented at the 29th ESOMAR Congress
  12. Wang Cheng, 2005, Journal of Electronic Commerce Research, 6, 304
  13. Webster Jane, 2002, MIS Quarterly, 26, xiii
  14. Ye L., 2004, Journal of International Information Management, 13, 133

Cited by

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Metadata

Authors
O’Brien, D., Wellbrock, C.-M., & Kleer, N.
Affiliations
University of Cologne (DE)
Corresponding author
O’Brien, Daniel
ORCID
Venue
Digital Journalism
Publisher
Informa UK Limited
Published
2020-05-27
Volume
8
Issue
5
Pages
643-672
ISSN
  • 2167-0811 (ISSN-L)
  • 2167-082X
DOI
10.1080/21670811.2020.1770112
OpenAlex
W3033217106
Cited by
90
References
63
Citations by year
2026: 11 · 2025: 16 · 2024: 13 · 2023: 23 · 2022: 14 · 2021: 12 · 2020: 1
FWCI
4.37
Type
journal article
Language
en
Open access
closed
Locations
  • Digital Journalism (publishedVersion)
  • Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
Topics
  • Social Sciences › Communication › Journalism and Media Studies
  • Social Sciences › Communication › News Media Framing and Political Communication
  • Social Sciences › Library and Information Sciences › Publishing and Scholarly Communication
Keywords
paid content, willingness to pay, consumer behavior, advertising revenue model, content pricing, psychological motives

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.