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              <text>Application of Artificial Intelligence on Smart Tourism Eco Space: An Integrated Approach in Post-COVID-19 Era</text>
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              <text>Artificial Intelligence; Design centrism; Digital ecosystem; Smart tourism; Smart user experiences</text>
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              <text>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.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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              <text>Kulkarni M.S.; Varghese B.; George G.</text>
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              <text>Data-Driven Decision Making, pp. 169-184.</text>
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              <text>ISBN: 978-981972902-9; 978-981972901-2</text>
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              <text>Kulkarni M.S., Symbiosis Centre for Information Technology, Symbiosis International Deemed University, Pune, India; Varghese B., School of Management, Christ University, Bangalore, India; George G., Academics, Westford University College, Sharjah, United Arab Emirates</text>
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