Let me choose what I want: The influence of incentive choice flexibility on the quality of crowdsourcing solutions to innovation problems
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DOI: 10.1016/j.technovation.2022.102679
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Cited by:
- Wang, Xue & Fan, Li-Wei & Zhang, Hongyan, 2023. "Policies for enhancing patent quality: Evidence from renewable energy technology in China," Energy Policy, Elsevier, vol. 180(C).
- Cheng, Rui & Frijns, Bart & Kim, Hyeongjun & Ryu, Doojin, 2024. "Effects of option incentive compensation on corporate innovation: The case of China," Economic Systems, Elsevier, vol. 48(1).
- Mahotra, Arvind & Majchrzak, Ann, 2024. "Digital innovations in crowdsourcing using AI tools," Technovation, Elsevier, vol. 133(C).
- Bonazzi, Riccardo & Viscusi, Gianluigi & Solidoro, Adriano, 2024. "Crowd mining as a strategic resource for innovation seekers," Technovation, Elsevier, vol. 132(C).
- Dabić, Marina & Daim, Tugrul & Bogers, Marcel L.A.M. & Mention, Anne-Laure, 2023. "The limits of open innovation: Failures, risks, and costs in open innovation practice and theory," Technovation, Elsevier, vol. 126(C).
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Keywords
Crowdsourcing; Field experiment; Innovation problems; Motivation; Incentives; Solution quality;All these keywords.
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