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 Book Chapter Faculty Publications- Book Chapter 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 Ashok, Monika B.; Thomas, Joby Title A name given to the resource AI-driven service marketing in accessible tourism: Digitizing hampi for all Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Intersections of Niche Tourism and Marketing;pp.205-225 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-8417-6.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-8417-6.ch009</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105001092965?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001092965?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 Ashok M.B., Christ University, India; Thomas J., Christ University, India Description An account of the resource This book chapter, which focuses on the historic site of Hampi, India, investigates how artificial intelligence (AI) might be included into service marketing to improve accessible tourism. Hampi presents special accessibility issues because it is a UNESCO World Heritage Site, especially for those with impairments. In addition to introducing AI-driven technologies like machine learning, natural language processing, and augmented reality and discussing how they might be used to enhance tourist experiences at Hampi, the chapter also examines current trends and difficulties in accessible tourism. A focus on personalized service delivery, increased tourist engagement, and inclusivity, case studies and examples from international practices demonstrate effective AI implementations in accessible tourism. In the end, this chapter offers perspectives and suggestions for utilizing AI-driven service marketing to promote universal accessibility and digitize Hampi, improving visitors' encounters with the local cultural heritage. 2025, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836938419-0; 979-836938417-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online