Explainable AI for E-commerce Marketplaces: Scaling And Replication | A time-series forecasting

Dissertation 4.8

Explainable AI for E-commerce Marketplaces: Scaling And Replication | A time-series forecasting

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MLA

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~ 40–55 mins

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Epidemiology DEI Sustainability

Abstract

This dissertation investigates “Explainable AI for E-commerce Marketplaces: Scaling And Replication | A time-series forecasting” using a event study methodology. Through a behavioral lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Explainable AI for E-commerce Marketplaces: Scaling And Replication | A time-series forecasting

ABSTRACT

Explainable AI for E-commerce Marketplaces: Scaling And Replication | A time-series forecasting is unpacked across themes: governance, KPIs, costs, and benefits. Limitations and future research paths are noted.

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