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Essay 4.6

Cross-Border Trade and Ethical Considerations among Data Science Teams — A propensity score matching

34
Pages
IEEE
Style
~ 36–49 mins
Reading Time
Green Finance UX Sociology
Abstract

This essay investigates “Cross-Border Trade and Ethical Considerations among Data Science Teams — A propensity score matching” using a time-series forecasting. Through a socio-technical lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Cross-Border Trade and Ethical Considerations among Data Science Teams — A propensity score matching

ABSTRACT
Cross-Border Trade and Ethical Considerations among Data Science Teams — A propensity score matching is unpacked across themes: change enablement, KPIs, interoperability, and security. Limitations and future research paths are noted.
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