{
  "id": 6651,
  "url": "https://arxiv.org/abs/2603.27052v3",
  "title": "Multi-Level Barriers to Generative AI Adoption Across Disciplines and Professional Roles in Higher Education",
  "summary": "Generative Artificial Intelligence (GenAI) is rapidly reshaping higher education, yet barriers to its adoption across different disciplines and institutional roles remain underexplored. Existing literature frequently attributes adoption barriers to individual-level factors such as perceived usefulness and ease of use. This study instead investigates whether such barriers are structurally produced. Drawing on a multi-method survey analysis of 272 academic and professional services (PSs) staff at ",
  "authors": "Jianhua Yang, Kerem Öge, Adrian von Mühlenen, Abdullah Bilal Akbulut, Tanya Suzanne Carey, Chidi Okorro",
  "category": "research",
  "topics": "children-education,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-27T23:48:25.000Z",
  "fetched_at": "2026-07-14T16:32:37.311Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6651",
  "original_url": "https://arxiv.org/abs/2603.27052v3",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}