The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery
Open accessAbstract
Instead of purchasing individual content, streaming adopters rent access to libraries from which they can consume content at no additional cost. In this paper, we study how the adoption of music streaming affects listening behavior. Using a unique panel data set of individual consumers’ listening histories across many digital music platforms, adoption of streaming leads to very large increases in the quantity and diversity of consumption in the first months after adoption. Although the effects attenuate over time, even after half a year, adopters play substantially more, and more diverse, music. Relative to music ownership, where experimentation is expensive, adoption of streaming increases new music discovery. While repeat listening to new music decreases, users’ best discoveries have higher play rates. We discuss the implications for consumers and producers of music. Data and the online appendix are available at https://doi.org/10.1287/mksc.2017.1051 .
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Cites
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How Much Should We Trust Differences-in-Differences Estimates?
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The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun
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Choosing Less‐Preferred Experiences For the Sake of Variety
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Content or Community? A Digital Business Strategy for Content Providers in the Social Age1
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Measuring the Effect of File Sharing on Music Purchases
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Modeling Consumer Demand for Variety
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How Much Should We Trust Differences-in-Differences Estimates?
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Cited by
Algorithmic Effects on the Diversity of Consumption on Spotify
Anderson, A., Maystre, L., Anderson, I., Mehrotra, R., & Lalmas, M. (2020) · Proceedings of The Web Conference 2020 · doi:10.1145/3366423.3380281 · Cited by 206
“conducted a study of music listening behavior across many streaming platforms and found that using streaming services increased the volume and diversity of music that people listened to [6].”
BackgroundHow Artificial Intelligence Constrains the Human Experience
Valenzuela, A., Puntoni, S., Hoffman, D., Castelo, N., De Freitas, J., Dietvorst, B., Hildebrand, C., Huh, Y. E., Meyer, R., Sweeney, M. E., et al. (2024) · Journal of the Association for Consumer Research · doi:10.1086/730709 · Cited by 81
Unal, M., & Park, Y.-H. (2023) · Management Science · doi:10.1287/mnsc.2023.4716 · Cited by 29
Why would artists favor free streaming?
Aly-Tovar, R., Bacache-Beauvallet, M., Bourreau, M., & Moreau, F. (2020) · Journal of Cultural Economics · doi:10.1007/s10824-019-09358-z · Cited by 16
Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation
Zhang, K., Wang, Q., Qiu, L., & Wang, N. (2024) · doi:10.2139/ssrn.4880861 · Cited by 10
Metadata
- Authors
- Datta, H., Knox, G., & Bronnenberg, B. J.
- Venue
- Marketing Science
- Published
- 2018-01
- Volume
- 37
- Issue
- 1
- Pages
- 5-21
- ISSN
- 0732-2399 (ISSN-L)
- 1526-548X
- OpenAlex
- W3123243604
- Cited by
- 316
- References
- 28
- FWCI
- 32.68
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
