JOURNAL ARTICLE

When Your Friend is My Friend: How Loyalty Prompts Support for Indirect Ties in Moral Dilemmas.

  • Published In: Organization Science (INFORMS), 2025, v. 36, n. 2. P. 762 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Berry, Zachariah; Hildreth, John Angus D. 3 of 3

Abstract

This article investigates how loyalty to a direct social tie, referred to as a "broker," can extend obligations of support to an indirect tie accused of wrongdoing, thereby facilitating networks that protect wrongdoers beyond their immediate relationships. Across 11 preregistered studies involving over 2,200 participants—including experiments and a field study in a fraternity setting—the research demonstrates that individuals loyal to a broker are more likely to vocally support an accused indirect tie, regardless of the type or strength of evidence against the accused. This effect is mediated by increased benevolence-based trust in the broker, perceived value alignment with the broker, and relational concerns about not fulfilling loyalty obligations; however, it is weakened when the broker has a reputation for divisive brokering that undermines trust. The findings contribute to understanding loyalty's moral psychology, brokering dynamics, social norms in ethical dilemmas, and ethical voice, highlighting how loyalty can inadvertently sustain unethical behavior through broader social networks in organizational contexts.

Additional Information

  • Source:Organization Science (INFORMS). 2025/03, Vol. 36, Issue 2, p762
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:1047-7039
  • DOI:10.1287/orsc.2023.18003
  • Accession Number:184328957
  • Copyright Statement:Copyright of Organization Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences 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.)

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