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Case Study 4.8

Roi And Performance Metrics in Gig Economy for Data Science Teams: A panel regression with fixed effects

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~ 26–38 mins
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Epidemiology DEI AR/VR
Abstract

This case study investigates “Roi And Performance Metrics in Gig Economy for Data Science Teams: A panel regression with fixed effects” using a difference-in-differences analysis. Through a human-centered lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Roi And Performance Metrics in Gig Economy for Data Science Teams: A panel regression with fixed effects

ABSTRACT
Roi And Performance Metrics in Gig Economy for Data Science Teams: A panel regression with fixed effects is unpacked across themes: benefits, change enablement, risks, and scalability. Limitations and future research paths are noted.
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