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 Francis, Shimmy; Rangasamy, Sangeetha Title A name given to the resource Unveiling the transformative role of chatbots: An insight from industry 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 Marketing Intelligence, Part B: AI, Trust, and Innovation in the Modern Business Landscape;pp.79-96 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83662-560-520251004" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83662-560-520251004</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105006629145?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006629145?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 Francis S., Christ University, India; Rangasamy S., Christ University, India Description An account of the resource In the 21st century, technological advancements have left an indelible mark on various industries. This study seeks to gauge the effectiveness of Chatbots with a specific lens on four pivotal sectors: Banking, Healthcare, Education and Information Technology. Acting as virtual conversation agents, Chatbots simulate human-like interactions. Through the lens of the Dialogue Manager theory, this research aims to pinpoint crucial attributes spanning distinct dimensions. These include the realm of the attributes, namely customer experience (user-friendliness, attentiveness, clarity, awareness and security), company experience (passion, timeliness, customer engagement, tracking customer), communication experience (observer, respectfulness, emotions, good listener, preciseness) and technology experience (updated technology, industry applied, quick response, problem-solving, high backup). This study investigates user perceptions, facilitating a more profound comprehension of Chatbot efficacy. The outcomes benefit the aforementioned industries, aiding them in refining their automation processes for heightened user-friendliness. Moreover, the potential for extending this research with empirical analysis opens avenues for further exploration. 2025 Shimmy Francis and Sangeetha Rangasamy. All rights reserved. Subject The topic of the resource Artificial intelligence; Automation; Chatbot; Human-computer interaction; Performance metrics; Service agents Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183662560-5; 978-183662561-2; 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