City Research Online

Abstract

This conceptual paper explores the potential of large language models (LLMs) as enablers of technological leapfrogging in emerging economies, using theories of Dynamic Capabilities and Diffusion of Innovation as guiding frameworks. We propose a model that positions LLM adoption as a strategic tool for accelerating innovation and bypassing traditional stages of technological development and iidentify four key enabling factors—process re-engineering, innovation ecosystems, digital infrastructure, and government support—that interact to influence the successful integration of LLMs within organizations. Following the theory of Dynamic Capabilities the model suggests the importance of an organization’s adaptive capacity: its ability to sense, seize, and transform in response to technological shifts. By situating LLM adoption within a broader systemic and institutional context as set out by the theory of Diffusion of Innovation, the model also highlights the critical role of collaborative networks and supportive policies in ensuring sustainable and inclusive AI-driven transformation. With a focus on Africa, and in particular Ghana, we aim to contribute to the discourse on digital transformation in the Global South and provide a foundation for future empirical research and policy development.

Publication Type:	Conference or Workshop Item (Paper)
Publisher Keywords:	Large Language Models, Technological Leapfrogging, Dynamic Capabilities Theory, Diffusion of Innovation Theory, Innovation Ecosystem, Digital Infrastructure, Emerging Economies
Subjects:	H Social Sciences > HB Economic Theory Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Departments:	Bayes Business School Bayes Business School > Faculty of Management
SWORD Depositor:	Symplectic Administrator

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