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Artificial Intelligence and Business Models from the Perspective of Innovation and Operational Efficiency of Companies: Systematic Literature Review

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  • I Putu Putra Astawa

    (Master of Management Study Program, Faculty of Business Economics and Tourism)

  • I Made Risma M. Arsha

    (Management Study Program, Faculty of Business Economics and Tourism)

Abstract

The application of Artificial Intelligence (AI) in various business models has grown rapidly as the need to improve efficiency, better decision-making, and a superior customer experience has grown. The study maps AI adoption trends across various industries, identifies the most impacted sectors, and highlights the growing reliance on AI in decision-making and automation. The financial, manufacturing, e-commerce, and healthcare sectors are areas that are showing significant transformation through the use of AI. In finance, AI is used for risk analysis and fraud detection, while in manufacturing, AI supports process automation and predictive maintenance, which increases productivity and keeps operational costs down. In e-commerce, AI enables personalization of shopping experiences and optimization of inventory management, and in healthcare, AI supports the analysis of patient data for better outcomes.

Suggested Citation

  • I Putu Putra Astawa & I Made Risma M. Arsha, 2024. "Artificial Intelligence and Business Models from the Perspective of Innovation and Operational Efficiency of Companies: Systematic Literature Review," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(11), pages 1882-1899, November.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:11:p:1882-1899
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