The Impact of Artificial Intelligence on Innovative Tourism Entrepreneurship: A Systematic Review of Trends

In an ever-evolving global landscape, the tourism industry stands at a critical crossroads driven by disruptive technologies. This chapter presents a comprehensive Systematic Literature Review (SLR) following the PRISMA statement to explore whether the implementation of Artificial Intelligence (AI) and Big Data (BD) tools facilitates or hinders the emergence of Innovative Tourism Entrepreneurship (ITE) compared to traditional market methods.

By analyzing various theoretical frameworks (such as RBV, DCT, and UTAUT), the study demonstrates that AI acts as a crucial enabler. It empowers new entrepreneurs to process massive data volumes, personalize traveler experiences in real-time, and automate complex processes. However, the research also highlights that successful integration heavily relies on human factors—such as managerial digital skills and managing employee resistance to change—while navigating persistent financial and technical barriers. Ultimately, this work provides a strategic roadmap for leveraging AI to forge truly innovative and competitive initiatives within the current smart tourism ecosystem.

URI: http://hdl.handle.net/10498/39730




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