Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sandhya, H.; Varghese, Bindi Title A name given to the resource Robotics, artificial intelligence and service automation (RAISA) A model for smart and sustainable destination management Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Turyzm/Tourism;Volume;36;Issue;1;pp.35-50 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.18778/0867-5856.2026.03" target="_blank" rel="noreferrer noopener">https://doi.org/10.18778/0867-5856.2026.03</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105040136808?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105040136808?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sandhya H., Christ University, Karnataka, Bangalore, India; Varghese B., Christ University, Karnataka, Bangalore, India Description An account of the resource Technological progress in information and communication technologies (ICTs) has facilitated the implementation of automation and the integration of more advanced technologies in all industries. With the advent of robotics, artificial intelligence and service automation (RAISA) technologies, tourism service providers and market players have redirected their attention from traditional and conventional methods of service delivery to more modern and innovative approaches. Emerging technologies such as big data, mobile internet, the internet of things (IoT), and artificial intelligence (AI) have been fueling a rapid growth in innovations that facilitate a sustainable shift towards social robots. While AI is extensively studied in the field of tourism research, robotics and intelligent service automation have received less comprehensive research attention. The present study endeavors to investigate the prospective landscape of the travel and tourism sector using a rigorous qualitative secondary data analysis approach through web page content analysis on the awareness and usage of RAISA technologies in the global marketplace. The publication proposes four primary research objectives: investigating the advantages of RAISA, evaluating its usage and adaptability, examining the effects and difficulties of implementing the systems, and establishing a sustainable future with RAISA-enabled services. Research in these fields will facilitate the systematic and organized generation of knowledge, enabling the academic community to guarantee the advantageous implementations of intelligent automation in the tourism sector. This work presents a taxonomy for RAISA technologies in tourism and presents a persuasive case for how this interdisciplinary field should be included in conventional tourism research. by the Author,. Subject The topic of the resource artificial intelligence; chatbots; destination management; robotics; service automation; smart tourism; virtual reality Publisher An entity responsible for making the resource available Lodz University Press Relation A related resource ISSN: 8675856; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online