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Double Jeopardy in digital entertainment: a replication corner study using Steam data

Marek Šulik

Marketing Letters2026https://doi.org/10.1007/s11002-026-09817-6article
AJG 3ABDC A
Weight
0.50

What the paper says

We replicate the Double Jeopardy (DJ) law using Steam data and a loyalty measure aligned with the DJ construct. Using 2350 games across five genres, loyalty is defined as user-level share of category requirements (SCR) within genre, with multi-genre playtime allocated by equal weights. Spearman correlations with bootstrap confidence intervals show DJ for Action, Strategy, and RPG ( $$\rho $$ ρ = 0.215–0.281, CIs excluding zero), while Simulation and Adventure are inconclusive. Results are robust to alternative loyalty measures and to restricting SCR to users with multiple games in a genre. Age stratification indicates weaker effects for newer releases. These findings extend DJ to experiential digital products while delineating boundary conditions by genre and market maturity.

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https://doi.org/https://doi.org/10.1007/s11002-026-09817-6

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@article{marek2026,
  title        = {{Double Jeopardy in digital entertainment: a replication corner study using Steam data}},
  author       = {Marek Šulik},
  journal      = {Marketing Letters},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s11002-026-09817-6},
}

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Double Jeopardy in digital entertainment: a replication corner study using Steam data

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.