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AI-Driven Resource Capabilities for Small Businesses: A Framework for Digital Resilience in Emerging Markets

Year: 2025

Type: article

Abstract: This paper develops a conceptual framework explaining how Artificial Intelligence (AI) strengthens the digital resilience of small businesses in emerging markets. Anchored in the Resource-Based View and Dynamic Capabilities Theory, it identifies three core AI-driven capabilities—Data-Driven Learning, Adaptive Decision-Making, and Collaborative Digital Ecosystems—and integrates ethical AI and data governance as moderating factors. The study proposes six testable propositions and a 90-day managerial playbook for building AI readiness. The framework contributes to theory and practice by positioning AI as a strategic capability system for uncertainty management and sustainable growth.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17573628

Author: Nisa, Tahrima Sharmin

Institutions: California Polytechnic State University, California State Polytechnic University

Language: English

Topic: Digital Innovation in Industries

Subfield: Management of Technology and Innovation

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: green

OpenAlex ID: W7104627858

FWCI: 1.223

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Cited by: 1

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