TRV-2026-2156Certified recordPeer-reviewed

Integrating Artificial Intelligence and Data Analytics into Marketing Education: The Digital-Ready Marketing Education Framework for Developing Graduates in Emerging Economies

Artificial intelligence (AI) and data analytics are reshaping marketing practice, yet many universities in emerging economies have been slow to reflect these changes in their curricula. Limited digital infrastructure, inadequate faculty expertise, and concerns about the ethical use of AI continue to constrain curriculum reform. This study develops the DigitalReady Marketing Education Framework (DRMEF) to guide the integration of AI and data analytics into marketing education. Drawing on a conceptual theory-build…

Education · Problem Space — documented harm · certified 2026-10-22 · v1 · article view · machine-readable

Current reading — problem

Universities in emerging economies have been slow to update marketing curricula for AI and analytics because of weak digital infrastructure, limited faculty expertise, and ethical concerns.

What this doesn’t fix

The framework comes from a conceptual theory-building synthesis of literature, and the supplied text reports no empirical testing of its effect on graduates or institutions.

Evidence

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Truvace Impact Record TRV-2026-2156, v1: “Integrating Artificial Intelligence and Data Analytics into Marketing Education: The Digital-Ready Marketing Education Framework for Developing Graduates in Emerging Economies.” Truvace, 2026-10-22. /record/TRV-2026-2156 (accessed at citation time). sha256 53cdda8c98c7f879…

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