Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation
Open accessAbstract
The selection of a business model significantly impacts the success of digital content platforms, influencing both consumers and creators. Within the field of serialized digital content, establishing incentives that align with creators' interests poses a notable challenge. Web novel platforms, which allow writers to produce and market their work online, have traditionally adopted a pay-per-view model, where readers pay for access to content. However, a recent trend has seen the introduction of an ad-sponsored model, aimed at attracting readers with free content. Although the ad-sponsored model expands reader accessibility, its effects on writers remain uncertain. Our study investigates the impacts of the ad-sponsored model on writers' content creation efforts, leveraging a policy change within a leading web novel platform as a natural experiment. Our results indicate a general decrease in writers' productivity under the ad-sponsored model. To uncover the underlying mechanism, we focus on the role of reader engagement and conduct a mediation analysis. Our results demonstrate that the ad-sponsored model is associated with less reader engagement, which leads to a subsequent decrease in writers' content creation efforts. Further, we conduct a reader-level analysis and find a significant decline in engagement with writers among those who consume ad-sponsored content, providing additional evidence supporting our main findings. These results substantiate our hypothesis that diminished reader engagement stems from a perception of reduced "sunk costs" associated with free, adsponsored content compared to paid books. From a psychological standpoint, the sunk costs inherent in paid content motivate continued reader engagement and interaction with writers, whereas ad-sponsored reading removes such costs, thereby decreasing reader engagement. This study holds profound implications for digital content platforms, underscoring the necessity for platform managers to carefully evaluate the impacts of implementing the ad-sponsored model on both creators and consumers of serialized digital content.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In case of indirect monetization, this can lead to lower complementor efforts to develop products.
“In case of indirect monetization, this can lead to lower complementor efforts to develop products (Zhang et al., 2024).”
From What role do data network effects play for multihoming complements? An empirical analysis of platform complementors’ strategies for consumer value creation (2025) · cites this paper as Zhang et al., 2024
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.51.6.1173 · Cited by 91,542 · see citing works
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532 · see citing works
Reconsidering Baron and Kenny: myths and truths about mediation analysis
Zhao, X., Lynch, J. G., & Chen, Q. (2010) · Journal of Consumer Research · doi:10.1086/651257 · Cited by 12,583 · see citing works
Difference-in-differences with variation in treatment timing
Goodman-Bacon, A. (2021) · Journal of Econometrics · doi:10.1016/j.jeconom.2021.03.014 · Cited by 8,046 · see citing works
Abadie, A., Diamond, A., & Hainmueller, J. (2010) · Journal of the American Statistical Association · doi:10.1198/jasa.2009.ap08746 · Cited by 5,513 · see citing works
Wasko, M. M., & Faraj, S. A. (2005) · MIS Quarterly · doi:10.2307/25148667 · Cited by 5,048 · see citing works
Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects
de Chaisemartin, C., & D’Haultfœuille, X. (2020) · American Economic Review · doi:10.1257/aer.20181169 · Cited by 5,031 · see citing works
Wasko, M. M., & Faraj, S. A. (2005) · Journal of the Association for Information Systems · doi:10.5555/2017245.2017249 · Cited by 3,535 · see citing works
Arkes, H. R., & Blumer, C. (1985) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(85)90049-4 · Cited by 2,573 · see citing works
Autor, D. H. (2003) · Journal of Labor Economics · doi:10.1086/344122 · Cited by 1,534 · see citing works
Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models
Xu, Y. (2017) · Political Analysis · doi:10.1017/pan.2016.2 · Cited by 938 · see citing works
Abadie, A., Diamond, A., & Hainmueller, J. (2007) · National Bureau of Economic Research · doi:10.3386/t0335 · Cited by 830 · see citing works
Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube
Susarla, A., Oh, J., & Tan, Y. (2011) · Information Systems Research · doi:10.1287/isre.1100.0339 · Cited by 610 · see citing works
Who Is Screened Out? Application Costs and the Targeting of Disability Programs
Deshpande, M., & Li, Y. (2019) · American Economic Journal: Economic Policy · doi:10.1257/pol.20180076 · Cited by 534 · see citing works
Buyer-Seller relationships: Similarity, relationship management, and quality
Smith, J. B. (1998) · Psychology and Marketing · doi:10.1002/(sici)1520-6793(199801)15:1 · Cited by 526 · see citing works
Autor, D. (2001) · SSRN Electronic Journal · doi:10.2139/ssrn.281431 · Cited by 397 · see citing works
Liu, L., Wang, Y., & Xu, Y. (2024) · American Journal of Political Science · doi:10.1111/ajps.12723 · Cited by 390 · see citing works
Imai, K., & Yamamoto, T. (2013) · Political Analysis · doi:10.1093/pan/mps040 · Cited by 381 · see citing works
Datta, H., Knox, G., & Bronnenberg, B. J. (2017) · Marketing Science · doi:10.1287/mksc.2017.1051 · Cited by 320 · see citing works
Moving from Free to Fee: How Online Firms Market to Change Their Business Model Successfully
Pauwels, K. H., & Weiss, A. M. (2008) · Journal of Marketing · doi:10.1509/jmkg.72.3.14 · Cited by 282 · see citing works
Effects of Freemium Strategy in the Mobile App Market: An Empirical Study of Google Play
Liu, C. Z., Au, Y. A., & Choi, H. S. (2014) · Journal of Management Information Systems · doi:10.1080/07421222.2014.995564 · Cited by 274 · see citing works
Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform
Khern-am-nuai, W., Kannan, K., & Ghasemkhani, H. (2018) · Information Systems Research · doi:10.1287/isre.2017.0750 · Cited by 256 · see citing works
A survey on predicting the popularity of web content
Tatar, A., de Amorim, M. D., Serge Fdida, B., & Antoniadis, P. (2014) · Journal of Internet Services and Applications · doi:10.1186/s13174-014-0008-y · Cited by 243 · see citing works
The Impact of E-Visits on Visit Frequencies and Patient Health: Evidence from Primary Care
Bavafa, H., Hitt, L. M., & Terwiesch, C. (2018) · Management Science · doi:10.1287/mnsc.2017.2900 · Cited by 240 · see citing works
Who Is Screened Out? Application Costs and the Targeting of Disability Programs
Deshpande, M., & Li, Y. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3342780 · Cited by 198 · see citing works
Khurana, S., Qiu, L.-F., & Kumar, S. (2019) · Information systems research · doi:10.1287/isre.2019.0836 · Cited by 196 · see citing works
Self-citationStrategies to Fight Ad-Sponsored Rivals
Casadesus‐Masanell, R., & Zhu, F. (2009) · Management Science · doi:10.1287/mnsc.1100.1199 · Cited by 188 · see citing works
Binge Watching and Advertising
Schweidel, D. A., & Moe, W. W. (2016) · Journal of Marketing · doi:10.1509/jm.15.0258 · Cited by 177 · see citing works
Ad Revenue and Content Commercialization: Evidence from Blogs
Sun, M., & Zhu, F. (2013) · Management Science · doi:10.1287/mnsc.1120.1704 · Cited by 174 · see citing works
Advertising versus pay-per-view in electronic media
Prasad, A., Mahajan, V., & Bronnenberg, B. J. (2003) · International Journal of Research in Marketing · doi:10.1016/s0167-8116(02)00119-2 · Cited by 144 · see citing works
Liu, L., Wang, Y., & Xu, Y. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3555463 · Cited by 142 · see citing works
Fee or Free: When Should Firms Charge for Online Content?
Lambrecht, A., & Misra, K. (2016) · Management Science · doi:10.1287/mnsc.2015.2383 · Cited by 130 · see citing works
The implications of offering free versions for the performance of paid mobile apps
Arora, S., ter Hofstede, F., & Mahajan, V. (2017) · Journal of Marketing · doi:10.1509/jm.15.0205 · Cited by 127 · see citing works
Compensating Online Content Producers: A Theoretical Analysis
Jain, S., & Qian, K. (2021) · Management Science · doi:10.1287/mnsc.2020.3862 · Cited by 116 · see citing works
Do Professional Reviews Affect Online User Choices Through User Reviews? An Empirical Study
Zhou, W., & Duan, W. (2016) · Journal of Management Information Systems · doi:10.1080/07421222.2016.1172460 · Cited by 113 · see citing works
Examining Gifting Through Social Network Services: A Social Exchange Theory Perspective
Kim, H., Kankanhalli, A., & Lee, S.-H. (2018) · Information Systems Research · doi:10.1287/isre.2017.0737 · Cited by 104 · see citing works
Oh, H., Animesh, A., & Pinsonneault, A. (2016) · MIS Quarterly · doi:10.25300/misq/2016/40.1.02 · Cited by 102 · see citing works
Gift-Giving as a Conceptual Framework: Framing Social Behavior in Online Networks
Skågeby, J. (2010) · Journal of Information Technology · doi:10.1057/jit.2010.5 · Cited by 95 · see citing works
Effects of intrinsic and extrinsic motivation on user-generated content
Poch, R., & Martin, B. A. S. (2014) · Journal of Strategic Marketing · doi:10.1080/0965254x.2014.926966 · Cited by 93 · see citing works
The Impact of Subscription Programs on Customer Purchases
Iyengar, R., Park, Y., & Yu, Q. D. (2022) · Journal of Marketing Research · doi:10.1177/00222437221080163 · Cited by 91 · see citing works
The free-to-fee transition: audiences’ attitudes toward paying for online news
Kammer, A., Boeck, M., Hansen, J. V., & Hauschildt, L. J. H. (2015) · Journal of Media Business Studies · doi:10.1080/16522354.2015.1053345 · Cited by 81 · see citing works
Shared Prosperity (or Lack Thereof) in the Sharing Economy
Alyakoob, M., & Rahman, M. S. (2018) · Information Systems Research · doi:10.1287/isre.2021.1076 · Cited by 73 · see citing works
Gu, Z., Bapna, R., Chan, J., & Gupta, A. (2017) · Management Science · doi:10.1287/mnsc.2020.3943 · Cited by 67 · see citing works
Bai, X., Marsden, J. R., Ross, W. T., & Wang, G. (2020) · Information Systems Research · doi:10.1287/isre.2020.0935 · Cited by 63 · see citing works
The Battle for Homes: How Does Home Sharing Disrupt Local Residential Markets?
Chen, W., Wei, Z., & Xie, K. (2022) · Management Science · doi:10.1287/mnsc.2022.4299 · Cited by 62 · see citing works
Middleware for efficient and confidentiality-aware federation of access control policies
Decat, M., Lagaisse, B., & Joosen, W. (2014) · Journal of Internet Services and Applications · doi:10.1186/1869-0238-5-1 · Cited by 62 · see citing works
Advertising and Content Creation on Digital Content Platforms
Ren, Q. (2023) · Marketing Science · doi:10.1287/mksc.2022.0387 · Cited by 60 · see citing works
Shared Prosperity (or Lack Thereof) in the Sharing EconomyPreprint
Alyakoob, M., & Rahman, M. (2019) · Information systems research · doi:10.2139/ssrn.3180278 · Cited by 55 · see citing works
Wang, Q., Qiu, L., & Xu, W. X. (2023) · Information Systems Research · doi:10.1287/isre.2020.475 · Cited by 55 · see citing works
Self-citationShould Online Content Providers Be Allowed To Subsidize Content?—An Economic Analysis
Cho, S., Qiu, L., & Bandyopadhyay, S. (2016) · Information Systems Research · doi:10.1287/isre.2016.0641 · Cited by 50 · see citing works
Self-citationEffects of Payment on User Engagement in Online Courses
Goli, A., Chintagunta, P. K., & Sriram, S. (2021) · Journal of Marketing Research · doi:10.1177/00222437211016360 · Cited by 49 · see citing works
The Battle for Homes: How Does Home Sharing Disrupt Local Residential Markets?Preprint
Chen, W., Wei, Z.-Y., & Xie, K. L. (2019) · Management Sciences · doi:10.2139/ssrn.3257521 · Cited by 48 · see citing works
Competition, Contracts, and Creativity: Evidence from Novel Writing in a Platform Market
Wu, Y., & Zhu, F. (2022) · Management Science · doi:10.1287/mnsc.2022.4329 · Cited by 48 · see citing works
Ailawadi, K. L., Ma, Y., & Grewal, D. (2017) · Journal of Marketing Research · doi:10.1509/jmr.16.0235 · Cited by 46 · see citing works
The Societal Impact of Sharing Economy Platform Self-Regulations—An Empirical Investigation
Han, W., Wang, X., Ahsen, M. E., & Wattal, S. (2021) · Information Systems Research · doi:10.1287/isre.2021.1044 · Cited by 45 · see citing works
The effect of loyalty program fees on program perceptions and engagement
Ashley, C., Gillespie, E. A., & Noble, S. M. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2015.09.001 · Cited by 40 · see citing works
The Impact of Twitter Adoption on Lawmakers’ Voting Orientations
Mousavi, R., & Gu, B. (2019) · Information Systems Research · doi:10.1287/isre.2018.0791 · Cited by 38 · see citing works
Huotari, P., & Ritala, P. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.02.037 · Cited by 33 · see citing works
Health Externalities and Policy: The Role of Social Preferences
Alfaro, L., Faia, E., Lamersdorf, N., & Saidi, F. (2022) · Management Science · doi:10.1287/mnsc.2022.4461 · Cited by 33 · see citing works
Ad Revenue and Content Commercialization: Evidence from BlogsPreprint
Sun, M., & Zhu, F. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1958059 · Cited by 32 · see citing works
Writing on the assembly line: Informal labour in the formalised online literature market in China
Zhao, E. J. (2016) · New Media & Society · doi:10.1177/1461444816634675 · Cited by 28 · see citing works
Black, D. E., & Vance, M. D. (2017) · Management Science · doi:10.1287/mnsc.2020.3703 · Cited by 27 · see citing works
Time-Inconsistent Preferences and Strategic Self-Control in Digital Content Consumption
Zhang, S., Chan, T. Y., Luo, X., & Wang, X. (2021) · Marketing Science · doi:10.1287/mksc.2021.1318 · Cited by 25 · see citing works
Impact of Health Information Exchange Adoption on Referral Patterns
Eftekhari, S., Yaraghi, N., Gopal, R. D., & Ramesh, R. (2022) · Management Science · doi:10.1287/mnsc.2022.4435 · Cited by 22 · see citing works
The Impact of Subscription Programs on Customer PurchasesPreprint
Iyengar, R., Park, Y.-H., & Yu, Q. D. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3529681 · Cited by 21 · see citing works
Cho, S., Qiu, L., & Bandyopadhyay, S. (2020) · Journal of Management Information Systems · doi:10.1080/07421222.2020.1831769 · Cited by 20 · see citing works
Self-citationThe Limits of Centralized Pricing in Online Marketplaces and the Value of User Control
Filippas, A., Jagabathula, S., & Sundararajan, A. (2023) · Management Sciences · doi:10.1287/mnsc.2023.4789 · Cited by 20 · see citing works
Guo, F., & Liu, Y. (2023) · Journal of Marketing · doi:10.1177/00222429231158116 · Cited by 19 · see citing works
Sponsored Data: Smarter Data Pricing with Incomplete Information
Mei, X., Cheng, H. K., Bandyopadhyay, S., Qiu, L., & Wei, L. (2021) · Information Systems Research · doi:10.1287/isre.2021.1063 · Cited by 16 · see citing works
Self-citation2020 Report on the development of Chinese Internet literature
Xiao, J., Chen, D., Tang, Q., Suo, L., Zhou, X., Wang, W., Zheng, W., & Zhou, M. (2022) · New Techno Humanities · doi:10.1016/j.techum.2022.100004 · Cited by 16 · see citing works
Gu, Z., Bapna, R., Chan, J., & Gupta, A. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3057424 · Cited by 15 · see citing works
The Effects of an Informational Intervention on Attention to Anti-Vaccination Content on YouTube
Kim, S., Yalcin, O. F., Bestvater, S. E., Munger, K., Monroe, B. L., & Desmarais, B. A. (2020) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v14i1.7364 · Cited by 14 · see citing works
Do Sunk Costs Affect Prices in the Housing Market?
Ratnadiwakara, D., & Yerramilli, V. (2022) · Management Science · doi:10.1287/mnsc.2021.4285 · Cited by 13 · see citing works
Black, D. E., & Vance, M. D. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2812731 · Cited by 10 · see citing works
Choi, A. A., Rhee, K.-E., Yoon, C., & Oh, W. (2023) · MIS Quarterly · doi:10.25300/misq/2022/17196 · Cited by 9 · see citing works
Should Online Content Providers be Allowed to Subsidize Content? — An Economic AnalysisPreprint
Cho, S., Qiu, L., & Bandyopadhyay, S. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2732077 · Cited by 6 · see citing works
Self-citationAn Empirical Investigation of a Digital Platform’s Release Strategy for Serialized Content
Zhao, C., Mehta, N., & Shi, M. (2026) · Marketing Science · doi:10.1287/mksc.2023.0308 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Monetization Strategy in the Crowd-Patronage EconomyPreprint
Du, J., & Jiang, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4643112 · Cited by 2 · see citing works
Knorr, C., Erath, M., Saesen, J., Kindermann, B., & Strese, S. (2025) · Electronic Markets · doi:10.1007/s12525-025-00817-4
“In case of indirect monetization, this can lead to lower complementor efforts to develop products (Zhang et al., 2024).”
Dai, J., Wang, Q., Shu, H., & Qiu, L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5003782
Self-citationEvaluating Mobile App Monetization Strategies Assessing Revenue Models
Sindiramutty, S. R., & Jhanjhi, N. Z. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-6925-8.ch006
When Gig Workers No Longer Gig: The Impact of California Assembly Bill 5 on the Online Labor Market
Wang, X., Lin, Y.-W., Han, W., & Qiu, L. (2025) · Information Systems Research · doi:10.1287/isre.2023.0007
Self-citationLiu, Q., Qiu, L., & Shen, B. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5953777
Self-citationRegulate or tolerate? Managing off-platform sponsorship in creator economy
Luo, Z., Du, S., & Chen, Y. (2026) · Omega · doi:10.1016/j.omega.2026.103553
An economic analysis of eligibility thresholds for ad-revenue-sharing programs on content platforms
Hu, R., Feng, H., Feng, N., & Li, M. (2026) · Omega · doi:10.1016/j.omega.2026.103605
Wang, H., Zhang, J., Yan, Z., & Luo, Y. (2026) · Internet Research · doi:10.1108/intr-10-2025-1682
Zhu, Y., Cao, Z., Li, G., Yang, Y., & Qiu, L. (2026) · Production and Operations Management · doi:10.1177/10591478261498550
Self-citation
- Authors
- Zhang, K., Wang, Q., Qiu, L., & Wang, N.
- Affiliations
- University of Florida (US)
- Beijing Technology and Business University (CN)
- Corresponding author
- Wang, Nan
- Venue
- Information Systems Research
- Publisher
- Elsevier BV
- Published
- 2024
- Volume
- 36
- Issue
- 2
- Pages
- 962-982
- ISSN
- 1047-7047 (ISSN-L)
- OpenAlex
- W4401332603
- Cited by
- 10
- References
- 71
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 1 · 2023: 1
- FWCI
- 3.03
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Information Systems Research (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Social Sciences › Business, Management and Accounting › Marketing › Copyright and Intellectual Property
- Social Sciences › Arts and Humanities › Museology › Literature, Culture, and Aesthetics
- Keywords
- free content, web novels, content creators, reader engagement, sunk costs
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review