TY  - JOUR
A1  - Wang, Nan
A1  - Tiberius, Victor
A1  - Chen, Xiangxiang
A1  - Brem, Alexander
A1  - Yu, Fei
T1  - Idea selection and adoption by users
BT  - a process model in an online innovation community
JF  - Technology analysis & strategic management
N2  - Firms increasingly use ideas from online innovation communities to solve problems or to better address customer needs. However, in many cases the number of submitted ideas has exploded, it leads to an information overload that firms hardly can handle considering their limited cognitive resources. Therefore, we use the Elaboration Likelihood Model to distinguish between the quick and lean idea preselection process as a peripheral route of information processing and the subsequent idea review process as a central route of information processing. In our empirical study with a sample of more than 163,000 ideas collected from the Xiaomi MIUI community, we analyse influencing factors that increase the likelihood of ideas being preselected or reviewed. Results show that user status, user initiative contribution, and community recognition have a significantly positive influence on idea preselction, whereas user response contribution has no influence. Idea presentation characteristics have an inverted U-curve relationship with idea adoption. Community absorptive capacity has a moderate effect on the curvilinear relationship between idea description length and idea adoption.
KW  - idea adoption
KW  - idea selection
KW  - online innovation community
KW  - cognitive overload
Y1  - 2020
U6  - https://doi.org/10.1080/09537325.2020.1863055
SN  - 0953-7325
SN  - 1465-3990
VL  - 33
IS  - 9
SP  - 1036
EP  - 1051
PB  - Taylor & Francis Group
CY  - London
ER  -