Management Faculty Publications and Presentations

Document Type

Article

Publication Date

11-2023

Abstract

Highlights

  • Crowdfunding research shows inconsistent evidence about the impact of prosocial project description on crowdfunding success.

  • We integrate elaboration likelihood model and language expectancy theory and propose distinct decision-making patterns from high and low prosocial motivation funders.

  • Our findings show low prosocial participants are more likely to contribute to a project that aligns platform types (donation-based vs. reward-based) and prosocial project descriptions (high vs. low).

  • We did not find these alignment effects for high prosocial participants.

Abstract

The amount of crowdfunding research that investigates funding success factors has been increasing. The existing research shows inconsistent evidence regarding how a prosocial project description affects funding success and largely ignores the issue of alignment/misalignment among different factors in affecting funding success. We suggest that funders’ prosocial motivation can be an important factor for this inconsistent evidence. We integrate the elaboration likelihood model and language expectancy theory and demonstrate distinct decision-making patterns from high and low prosocial motivation funders. Through three experiments, we provide evidence for alignment/misalignment effects among funders’ prosocial motivation, prosocial project descriptions, and platform types (donation-based vs. reward-based). While there are no differences for participants with high prosocial motivation across conditions, we find that participants with low prosocial motivation are more willing to contribute to a project that has alignment between the different factors, namely to a project that has a high prosocial description on a donation-based platform, or to a project that has a low prosocial description on a reward-based platform. This research sheds light on the crowdfunding and prosocial motivation literature.

Comments

Under a Creative Commons license

Publication Title

Information & Management

DOI

https://doi.org/10.1016/j.im.2023.103840

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