About
Contact & Profiles
A5103218177
Research Areas
- Consumer Behavior in Brand Consumption and Identification
- Organic Food and Agriculture
- Digital Marketing and Social Media
- Culinary Culture and Tourism
- Mobile Crowdsensing and Crowdsourcing
- Open Source Software Innovations
Aarhus University
2019
10.1016/j.foodqual.2019.02.015
article
EN
Food Quality and Preference
2019-02-26
Using unique data from the LEGO Ideas platform and a novel approach of algorithm-based abduction, we combine multiple methods to provide new insights into crowd selection. Through qualitative content-coding, interviews, prior literature, derive an initial set variables. We then use machine learning for feature selection identify most important factors The findings are used build theory on selection, which test hold-out sample. Our key finding is that ideator idea characteristics suggested by...
10.1016/j.respol.2023.104875
article
EN
cc-by-nc-nd
Research Policy
2023-09-22
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