Mechanisms and Pathways of AI-Enabled Evidence-Based Business Model Innovation in Cultural Tourism Enterprises

DOI: https://doi.org/10.62517/jtm.202613303

Author(s)

Sihan Lv*, Kaoxun Chi

Affiliation(s)

Business School, Shandong University of Technology, Zibo, Shandong, China *Corresponding Author

Abstract

In the digital intelligence era, cultural tourism enterprises can effectively promote their high-quality development by engaging in evidence-based business model innovation (EBBMI). Artificial intelligence (AI) plays a significantly enabling role in this process. However, current research offers limited insight into the mechanisms and pathways through which AI enables EBBMI in cultural tourism enterprises. To address this gap, this study draws on the principles of evidence-based decision-making to develop a theoretical research framework that delineates the underlying mechanisms and pathways of AI-enabled EBBMI. This framework holds heuristic value for advancing theoretical research on the “AI+” initiative within the cultural tourism enterprise sector.

Keywords

Artificial Intelligence; Cultural Tourism Enterprises; Evidence-Based Business Model Innovation; Mechanism; Pathway.

References

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