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Listen to Your Users? Self-Selection in User Community Feedback and Commercial Impact

Richard M. Allen et al.

Academy of Management Journal2026https://doi.org/10.5465/amj.2024.0178article
FT50UTD24AJG 4*ABDC A*
Weight
0.50

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https://doi.org/https://doi.org/10.5465/amj.2024.0178

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@article{richard2026,
  title        = {{Listen to Your Users? Self-Selection in User Community Feedback and Commercial Impact}},
  author       = {Richard M. Allen et al.},
  journal      = {Academy of Management Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.5465/amj.2024.0178},
}

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Listen to Your Users? Self-Selection in User Community Feedback and Commercial Impact

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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.