{
  "id": 17008,
  "url": "https://arxiv.org/abs/2608.05181",
  "title": "Beyond Demographics: BIM Engagement and Job Satisfaction Among AEC Professionals, A Machine Learning Pilot Study",
  "summary": "arXiv:2608.05181v1 Announce Type: new Abstract: Building Information Modeling (BIM) has transformed workflows across the Architecture, Engineering, and Construction (AEC) industry, yet its relationship with employee job satisfaction remains insufficiently understood. This pilot study investigates whether BIM engagement or demographic characteristics better predict job satisfaction among AEC professionals. Survey responses from 104 participants were analyzed using Spearman rank correlations, logi",
  "authors": "Sharareh Mirzaei",
  "category": "research",
  "topics": "jobs-economy,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-07T04:00:00.000Z",
  "fetched_at": "2026-08-07T05:10:58.501Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17008",
  "original_url": "https://arxiv.org/abs/2608.05181",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}