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This study investigates the adoption of AI-powered social listening (AI-PSL) by Egyptian e-commerce SMEs. Despite recognizing the potential benefits of AI-PSL for marketing strategies, a significant gap exists between perception and implementation. A mixed-methods approach using surveys and interviews explores the barriers hindering SMEs from leveraging AI-PSL, such as limited resources, lack of technological expertise, and technological readiness constraints. Although these challenges exist, SMEs demonstrate enthusiasm for integrating AI to gain a competitive advantage. To bridge the adoption gap and guide SMEs to harness the full potential of AI for growth and competitiveness in the digital era, this research proposes a tailored framework for AI-PSL adoption. This framework focuses on providing guidance on resource allocation, skill development, and strategic planning for effective utilization of AI-PSL tools.

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A Framework for Leveraging AI-Powered Social Listening Technologies to Enhance Marketing Strategies for Small and Medium E-commerce Businesses in Egypt

  • 会议论文

  • 发表日期：

    2025年

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  • Mohammad Ahmmad,
  • ElHassan ElSabry,
  • Tarek Khalil

摘要

This study investigates the adoption of AI-powered social listening (AI-PSL) by Egyptian e-commerce SMEs. Despite recognizing the potential benefits of AI-PSL for marketing strategies, a significant gap exists between perception and implementation. A mixed-methods approach using surveys and interviews explores the barriers hindering SMEs from leveraging AI-PSL, such as limited resources, lack of technological expertise, and technological readiness constraints. Although these challenges exist, SMEs demonstrate enthusiasm for integrating AI to gain a competitive advantage. To bridge the adoption gap and guide SMEs to harness the full potential of AI for growth and competitiveness in the digital era, this research proposes a tailored framework for AI-PSL adoption. This framework focuses on providing guidance on resource allocation, skill development, and strategic planning for effective utilization of AI-PSL tools.