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Application of Artificial Intelligence on Smart Tourism Eco Space: An Integrated Approach in Post-COVID-19 Era

In: Data-Driven Decision Making

Author

Listed:
  • Mugdha S. Kulkarni

    (Symbiosis International Deemed University)

  • Bindi Varghese

    (Christ University)

  • Ginu George

    (Westford University College)

Abstract

The AI-integrated approach in recent times has evolved with innovative techniques and gained much importance in the post-COVID-19 scenario. This chapter extends contemporary and exponential research findings for Smart Tourism Practices and the Application of AI-enabled systems for the Tourism Ecosystem. It highlights for various service segments like hotels, motels, resorts, restaurants, cafes, airlines, and destinations under this large umbrella known as the hospitality sector. Smart tourism eco space capacitates an ICT-enabled system consolidates tourism resources and information technologies. Perhaps, with multiple challenges, a successful implementation of smart tourism approaches empowers and supports a smart system in place. The tourism eco space is highly vulnerable, and this situation in the service sector creates an intense requirement of a comprehensive view of digitally enabled smart tourism eco space with innovative mechanisms to remain contact-free with less human intervention.

Suggested Citation

  • Mugdha S. Kulkarni & Bindi Varghese & Ginu George, 2024. "Application of Artificial Intelligence on Smart Tourism Eco Space: An Integrated Approach in Post-COVID-19 Era," Springer Books, in: Jeanne Poulose & Vinod Sharma & Chandan Maheshkar (ed.), Data-Driven Decision Making, chapter 0, pages 169-184, Springer.
    • Handle: RePEc:spr:sprchp:978-981-97-2902-9_8
    DOI: 10.1007/978-981-97-2902-9_8
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