User idea implementation in open innovation communities: Evidence from a new product development crowdsourcing community

Qian Liu, Qianzhou Du, Yili Hong, Weiguo Fan, Shuang Wu · 2020 · Information Systems Journal

Summary. This study examines what determines whether user-generated ideas get implemented in crowdsourcing communities for product development. Using data from Xiaomi's MIUI community with over 43,000 ideas, the researchers found that users' past success follows an inverted U-shape with implementation likelihood, longer idea descriptions increase chances of adoption, supporting evidence shows an inverted U-shape relationship, and negative feedback paradoxically increases implementation odds while positive feedback decreases them.

Read the original

@article{liu-2020-user-idea-implementation-open-innovation,
  title   = {User idea implementation in open innovation communities: Evidence from a new product development crowdsourcing community},
  author  = {Qian Liu and Qianzhou Du and Yili Hong and Weiguo Fan and Shuang Wu},
  journal = {Information Systems Journal},
  year    = {2020},
  doi     = {10.1111/isj.12286},
  url     = {https://doi.org/10.1111/isj.12286}
}

TY  - JOUR
TI  - User idea implementation in open innovation communities: Evidence from a new product development crowdsourcing community
AU  - Qian Liu
AU  - Qianzhou Du
AU  - Yili Hong
AU  - Weiguo Fan
AU  - Shuang Wu
JO  - Information Systems Journal
PY  - 2020
DO  - 10.1111/isj.12286
UR  - https://doi.org/10.1111/isj.12286
ER  - 

Details

DOI

10.1111/isj.12286

Countries

China

Regions

Asia

Categories

innovation-networks, innovation-theory, general-innovation

Added

2026-04-28