Abstract
This systematic review comprehensively examines the transformative impact of artificial intelligence (AI) on business innovation across diverse industries. Through rigorous analysis of recent, high-impact research, we explore how AI is reshaping business models, processes, and strategies. This review synthesizes current knowledge on AI-driven business innovation, providing a robust foundation for future research and highlighting critical research gaps. Our focus encompasses AI applications in product and service innovation, operational efficiency, decision-making enhancement, and customer experience personalization. We also address implementation challenges, ethical considerations, and organizational implications. The findings reveal that AI facilitates unprecedented automation, predictive capabilities, and personalization, which catalyze innovation across various business functions. However, successful AI implementation necessitates addressing significant technical, organizational, and ethical hurdles. This review serves as a valuable roadmap for researchers and practitioners navigating the complexities of AI-driven business transformation, highlighting opportunities for future research and providing insights for effective AI adoption strategies.
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