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Case Study 4.5

Explainable AI and Cost–Benefit Analysis among EU Startups — Post-Pandemic Lessons

26
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Chicago
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~ 27–38 mins
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Tourism FinTech Energy
Abstract

This case study investigates “Explainable AI and Cost–Benefit Analysis among EU Startups — Post-Pandemic Lessons” using a panel regression with fixed effects. Through a behavioral lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Explainable AI and Cost–Benefit Analysis among EU Startups — Post-Pandemic Lessons

ABSTRACT
Explainable AI and Cost–Benefit Analysis among EU Startups — Post-Pandemic Lessons is unpacked across themes: scalability, risks, governance, and costs. Limitations and future research paths are noted.
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