Article

When Algorithms Meet Ethics: Systematic Evidence of Framing Effects in LLM Organizational Decision-Making

2026-02-15

Abstract excerpt

Large language models (LLMs) are increasingly deployed as decision-support tools in organizational contexts, yet their susceptibility to contextual framing remains poorly understood. This preregistered experimental study systematically examines how six framing dimensions—procedural justice, outcome severity, stakeholder power, resource scarcity, temporal urgency, and transparency requirements—influence ethical rec...

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Literature Corpus work: 303049fb-03c2-5b62-904d-d2c54f94aad9
DOI: 10.20944/preprints202602.1103.v1

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