@inproceedings{alnajjar-etal-2025-threefold,
    title = "Threefold model for {AI} Readiness: A Case Study with {F}innish Healthcare {SME}s",
    author = {Alnajjar, Mohammed  and
      Alnajjar, Khalid  and
      H{\"a}m{\"a}l{\"a}inen, Mika},
    editor = {H{\"a}m{\"a}l{\"a}inen, Mika  and
      {\"O}hman, Emily  and
      Bizzoni, Yuri  and
      Miyagawa, So  and
      Alnajjar, Khalid},
    booktitle = "Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities",
    month = may,
    year = "2025",
    address = "Albuquerque, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingestion-wsc-csdh-2025/2025.nlp4dh-1.41/",
    doi = "10.18653/v1/2025.nlp4dh-1.41",
    pages = "478--489",
    ISBN = "979-8-89176-234-3",
    abstract = "This study examines AI adoption among Finnish healthcare SMEs through semi-structured interviews with six health-tech companies. We identify three AI engagement categories: AI-curious (exploring AI), AI-embracing (integrating AI), and AI-catering (providing AI solutions). Our proposed threefold model highlights key adoption barriers, including regulatory complexities, technical expertise gaps, and financial constraints. While SMEs recognize AI{'}s potential, most remain in early adoption stages. We provide actionable recommendations to accelerate AI integration, focusing on regulatory reforms, talent development, and inter-company collaboration, offering valuable insights for healthcare organizations, policymakers, and researchers."
}