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Policy And Regulation in InsurTech for Gig Workers: A panel regression with fixed effects

30
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MLA
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~ 31–45 mins
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Sustainability Tourism AIOps
Abstract

This report investigates “Policy And Regulation in InsurTech for Gig Workers: A panel regression with fixed effects” using a propensity score matching. Through a behavioral lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Policy And Regulation in InsurTech for Gig Workers: A panel regression with fixed effects

ABSTRACT
Policy And Regulation in InsurTech for Gig Workers: A panel regression with fixed effects is unpacked across themes: usability, costs, scalability, and change enablement. Limitations and future research paths are noted.
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