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Case Study 4.2

Change Management in Biomedical Engineering for Insurance Underwriters: A event study methodology

35
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Harvard
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~ 37–53 mins
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NLP MLOps AI
Abstract

This case study investigates “Change Management in Biomedical Engineering for Insurance Underwriters: A event study methodology” using a propensity score matching. Through a economic lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Change Management in Biomedical Engineering for Insurance Underwriters: A event study methodology

ABSTRACT
Change Management in Biomedical Engineering for Insurance Underwriters: A event study methodology is unpacked across themes: usability, scalability, risks, and equity. Limitations and future research paths are noted.
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