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Dissertation 4.5

Cross-Border Trade for Data Science Teams: Resilience And Continuity | Post-Pandemic Lessons

39
Pages
IEEE
Style
~ 41–59 mins
Reading Time
NLP AIOps Metaverse
Abstract

This dissertation investigates “Cross-Border Trade for Data Science Teams: Resilience And Continuity | Post-Pandemic Lessons” using a survey-based structural equation modeling. Through a human-centered lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Cross-Border Trade for Data Science Teams: Resilience And Continuity | Post-Pandemic Lessons

ABSTRACT
Cross-Border Trade for Data Science Teams: Resilience And Continuity | Post-Pandemic Lessons is unpacked across themes: governance, usability, equity, and ethics. Limitations and future research paths are noted.
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