Bestseller lists and product discovery in the subscription-based market: Evidence from music streaming

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 53
  • Download : 0
Our study analyzes the impact of hourly-updated bestseller lists on music discovery in a digital streaming platform to provide evidence of whether and why bestseller lists affect consumer decisions in the subscription-based market. We circumvent the problem of demand-popularity simultaneity by leveraging high-frequency data and a regression discontinuity design. We find that being added to the top 100 charts increases song discovery by 11-13%. Furthermore, a series of analyses suggest that the saliency effect, instead of observational learning, is more likely to drive this behavioral change among streaming users. Specifically, we find that a song's chart entrance increases repeat consumption, normative rank positions within the top 100 lists do not demonstrate significant discontinuity, and an artist or a song's prior popularity does not moderate this effect. (C) 2021 Elsevier B.V. All rights reserved.
Publisher
ELSEVIER
Issue Date
2022-02
Language
English
Article Type
Article
Citation

JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, v.194, pp.550 - 567

ISSN
0167-2681
DOI
10.1016/j.jebo.2021.12.030
URI
http://hdl.handle.net/10203/297399
Appears in Collection
MT-Journal Papers(저널논문)RIMS Journal Papers
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0