Empowering Small E-commerce Businesses with AI: A Free Resource Framework for Digital Marketers in Emerging Economies

Small e-commerce firms in emerging economies stand at the frontier of digital inclusion yet remain constrained by thin profit margins, skills and data gaps, and limited access to reliable digital infrastructure. These barriers widen the global “AI divide,” restricting small enterprises from leveraging generative-AI opportunities. This paper introduces the Free Resource AI Framework (FRAIF)—a structured, zero-cost roadmap enabling digital marketers and micro-entrepreneurs to achieve AI readiness without capital dependency. Grounded in the Resource-Based View (RBV) and Digital Transformation Theory, FRAIF organizes capability building across five layers—Access, Skills, Data, Governance, and Use-Cases—and three maturity stages (Assist → Augment → Automate). FRAIF translates recent global policy insights from OECD (2024), UNCTAD (2024), and World Bank (2024) into ten actionable, low-cost AI applications relevant to small online retailers. It also proposes six policy enablers—connectivity, digital public infrastructure, skills development, responsible data/IP governance, SME finance, and testbeds—to promote equitable AI transformation. By reframing AI as a capability to cultivate rather than a technology to purchase, this paper offers a replicable model for inclusive, sustainable, and human-centered digital transformation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-09
DOI
https://doi.org/10.5281/zenodo.17566971
Primary Topic
AI in Service Interactions
Type
article
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article

Empowering Small E-commerce Businesses with AI: A Free Resource Framework for Digital Marketers in Emerging Economies

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

Empowering Small E-commerce Businesses with AI: A Free Resource Framework for Digital Marketers in Emerging Economies

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Abstract

Small e-commerce firms in emerging economies stand at the frontier of digital inclusion yet remain constrained by thin profit margins, skills and data gaps, and limited access to reliable digital infrastructure. These barriers widen the global “AI divide,” restricting small enterprises from leveraging generative-AI opportunities. This paper introduces the Free Resource AI Framework (FRAIF)—a structured, zero-cost roadmap enabling digital marketers and micro-entrepreneurs to achieve AI readiness without capital dependency. Grounded in the Resource-Based View (RBV) and Digital Transformation Theory, FRAIF organizes capability building across five layers—Access, Skills, Data, Governance, and Use-Cases—and three maturity stages (Assist → Augment → Automate). FRAIF translates recent global policy insights from OECD (2024), UNCTAD (2024), and World Bank (2024) into ten actionable, low-cost AI applications relevant to small online retailers. It also proposes six policy enablers—connectivity, digital public infrastructure, skills development, responsible data/IP governance, SME finance, and testbeds—to promote equitable AI transformation. By reframing AI as a capability to cultivate rather than a technology to purchase, this paper offers a replicable model for inclusive, sustainable, and human-centered digital transformation.

Zenodo (CERN European Organization for Nuclear Research)
California State Polytechnic University (US)
Reduced inequalities
Openalex Percentile: Top 22%
AI in Service Interactions
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