Introducing a downside risk model, this paper examines the impacts of two conflicting behavioral factors, backer warm-glow effect and creator risk aversion, on the creator's optimal decisions of selling price and financing target of an All-or-Nothing reward-based crowdfunding project. We find that a less risk-averse creator should choose a high-price high-financing-target strategy when backer warm-glow effect is strong, or vice versa. The creator should only target at backers who have high project valuation when there is a large variation among backer valuation, and should target at all potential backers when the variation is small. In addition, we also explore the impacts of backer risk aversion. We reveal that the creator can only select a low-price low-financing-target strategy when the overall backer risk-aversion is high. However, the creator is not restricted to the low-price low-financing-target strategy when the overall risk-aversion is low. Last, by formulating the problem as a Stackelberg game with the platform acting as the game leader and the creator as the follower, the platform's optimal cultivation level is derived. We provide several insights and implications for future research and crowdfunding practice.
|Original language||English (US)|
|Journal||Transportation Research Part E: Logistics and Transportation Review|
|State||Published - Apr 2022|
Bibliographical noteFunding Information:
Lei Xu’s research is partially supported by the National Natural Science Foundation of China (Grant No. 71672125, 72172148), the National Natural Science Foundation of China special supporting funding of CAUC (Grant No 3122022PT08), the Fundamental Research Funds for the Central Universities (Grant No. 3122020021), and major research project of the National Natural Science Foundation of China (Grant No. 91646117). Chun-Hung Chiu’s research is partially supported by the National Natural Science Foundation of China (Grant No. 71971224 and 71721001), and Guangdong Basic and Applied Basic Research Foundation (Grant No. 2020A1515011081).
© 2022 Elsevier Ltd
- All-or-Nothing model
- Downside risk
- Financing polices
- Reward-based crowdfunding
- Warm-glow effect