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Balancing automation and augmentation in AI-enabled decision-making: A business model perspective from healthcare sector

Author

Listed:
  • Atkova, Irina
  • Jansson, Miia
  • Ahokangas, Petri
  • Härkönen, Henna
  • Rana, Tarek
  • Vesty, Gillian

Abstract

The increasing integration of artificial intelligence (AI) into organizational decision-making processes raises critical questions about whether decisions should be automated or augmented by human expertise. While prior research presents automation and augmentation as points on a continuum, less is known about their interplay. This study examines how organizations can balance decision-making automation and augmentation in data-intensive, high-stakes environments.

Suggested Citation

  • Atkova, Irina & Jansson, Miia & Ahokangas, Petri & Härkönen, Henna & Rana, Tarek & Vesty, Gillian, 2026. "Balancing automation and augmentation in AI-enabled decision-making: A business model perspective from healthcare sector," Technological Forecasting and Social Change, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:tefoso:v:229:y:2026:i:c:s0040162526001885
    DOI: 10.1016/j.techfore.2026.124711
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