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Advancing Economic Recovery with Artificial Intelligence, Quantum Computing Technologies, and Strategic Management in Small Businesses

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  • Rula AbuShanab

Abstract

This abstract introduces a comprehensive approach to fostering economic recovery through the integration of cutting-edge technologies and strategic management in small businesses. In the wake of global economic challenges, the utilization of Artificial Intelligence (AI) and Quantum Computing (QC) emerges as a pivotal strategy. AI offers unparalleled capabilities in data analysis, customer engagement, and operational efficiency, empowering small businesses to adapt swiftly to market demands and optimize resource allocation. Concurrently, QC revolutionizes data processing by exponentially enhancing computational power, enabling small enterprises to tackle complex problems and innovate at unprecedented speeds. However, the effective deployment of these technologies necessitates astute strategic management. Strategic foresight and agile decision-making are crucial in harnessing AI and QC to their fullest potential, ensuring alignment with business objectives and mitigating risks. This abstract advocates for a holistic approach wherein small businesses integrate AI and QC technologies seamlessly into their operational frameworks while fostering a culture of strategic innovation. By leveraging these advancements in tandem with strategic management principles, small enterprises can not only navigate economic uncertainties but also unlock new growth opportunities, catalyzing sustainable economic recovery and long-term prosperity.

Suggested Citation

  • Rula AbuShanab, 2024. "Advancing Economic Recovery with Artificial Intelligence, Quantum Computing Technologies, and Strategic Management in Small Businesses," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 5(1), pages 327-338.
  • Handle: RePEc:das:njaigs:v:5:y:2024:i:1:p:327-338:id:201
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