TY - JOUR
T1 - Reward-based crowdfunding strategies
T2 - Aligning the types of rewards for crowdfunding projects with entrepreneurial narratives
AU - Wang, Wei
AU - Liu, Haiwang
AU - Zheng, Xiaohui
AU - Qin, Yuan
AU - Wu, Yenchun Jim
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2026/2
Y1 - 2026/2
N2 - Creating types of rewards that align with the motivational inclinations of investors is posited as an essential precondition of successful crowdfunding. However, the relationship among entrepreneurial narratives, the types of rewards, and financing performance is often overlooked. Based on self-determination theory (SDT), we use 256,633 crowdfunding projects from Kickstarter to examine this relationship. Text mining is employed to identify four types of rewards: emotional support, participation opportunity, virtual product, and physical product rewards. The first two have intrinsic incentives, whereas the second two have extrinsic incentives. By econometric models, the results suggest that intrinsically driven rewards are more attractive than extrinsically driven rewards. The participation opportunity reward is the most effective, while the virtual product reward is the least effective. Further, the cognitive load of reward narratives enhances the effect of the reward. Moreover, entrepreneur narcissism enhances the effect of the reward, but the influence is not consistent among the four types of rewards. In addition, the effect of the type of reward depends on a project's characteristics. This study refines the application of SDT regarding online entrepreneurship, deepens understanding of informational mechanisms that motivate investor participation, and offers actionable guidelines for information management regarding the rewards and narrative content.
AB - Creating types of rewards that align with the motivational inclinations of investors is posited as an essential precondition of successful crowdfunding. However, the relationship among entrepreneurial narratives, the types of rewards, and financing performance is often overlooked. Based on self-determination theory (SDT), we use 256,633 crowdfunding projects from Kickstarter to examine this relationship. Text mining is employed to identify four types of rewards: emotional support, participation opportunity, virtual product, and physical product rewards. The first two have intrinsic incentives, whereas the second two have extrinsic incentives. By econometric models, the results suggest that intrinsically driven rewards are more attractive than extrinsically driven rewards. The participation opportunity reward is the most effective, while the virtual product reward is the least effective. Further, the cognitive load of reward narratives enhances the effect of the reward. Moreover, entrepreneur narcissism enhances the effect of the reward, but the influence is not consistent among the four types of rewards. In addition, the effect of the type of reward depends on a project's characteristics. This study refines the application of SDT regarding online entrepreneurship, deepens understanding of informational mechanisms that motivate investor participation, and offers actionable guidelines for information management regarding the rewards and narrative content.
KW - Crowdfunding
KW - Entrepreneurial narratives
KW - Participation willingness
KW - Project characteristics
KW - Reward types
KW - Text mining
UR - https://www.scopus.com/pages/publications/105018852010
UR - https://www.scopus.com/pages/publications/105018852010#tab=citedBy
U2 - 10.1016/j.ijinfomgt.2025.102987
DO - 10.1016/j.ijinfomgt.2025.102987
M3 - Article
AN - SCOPUS:105018852010
SN - 0268-4012
VL - 86
JO - International Journal of Information Management
JF - International Journal of Information Management
M1 - 102987
ER -