JOURNAL ARTICLE

The impact of external evaluation on donations to nonprofit organizations: Evidence from Korea.

  • Published In: Nonprofit Management & Leadership, 2024, v. 34, n. 4. P. 855 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Lee, Ye Ji; Choi, Kiho; Yoo, Ji Seon 3 of 3

Abstract

This study examines whether and to what extent each stage of evaluation by a nonprofit agency impacts donation revenue. We test the effects of the Korean evaluation agency's scoring, selection, and ratings disclosure stages on nonprofit organizations' future donations. Using a sample of Korean nonprofit organizations for 2017–2018, we find that the governance and financial performance scores constructed by the agency in the scoring stage are positively correlated with nonprofit organizations' future donations. We also find a positive correlation between selection by the agency during the selection stage and future donations to the selected organizations. Finally, we show that the star ratings disclosed by the agency in the ratings disclosure stage do not impact future donations because ratings are predicted by the governance and financial performance scores. Our results imply that the scoring and selection stages have strong positive signal effects on donors, whereas the ratings disclosure stage does not. These findings suggest that to help donors make decisions about resource contributions, external nonprofit agencies must primarily focus on improving the scoring methodology and selection criteria. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nonprofit Management & Leadership. 2024/06, Vol. 34, Issue 4, p855
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2024
  • ISSN:1048-6682
  • DOI:10.1002/nml.21594
  • Accession Number:177627017
  • Copyright Statement:Copyright of Nonprofit Management & Leadership is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.