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 Jaiwant, Sunanda Vincent; Haridasan, Ajitha; Dheepa, T. Title A name given to the resource Consumer decision-making journey and the role of AI-enabled mimic technology and social robots 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 5.0: The Role of Human-Mimicking Technology;pp.221-237 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83797-815-120251016" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83797-815-120251016</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105001533513?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001533513?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 Jaiwant S.V., CHRIST (Deemed to be University), India; Haridasan A., CHRIST (Deemed to be University), India; Dheepa T., CHRIST (Deemed to be University), India Description An account of the resource AI is essential for optimising the customer journey since it customises interactions at every stage of the process. Companies can predict consumer patterns and prepare for demands with the help of predictive analytics. Mimicking technology can significantly affect the way customers feel, practices and beliefs, which in turn can affect how they make choices. Social networking platforms, for example, employ mimic technology to follow users' online habits and recommend content according to what they are likely to find interesting. Furthermore, mimic technology can be used to create immersive shopping experiences that influence consumers' emotions and purchasing decisions. Consumers might be able to interact with virtual organisations, try on clothes and assess goods thanks to virtual reality and augmented reality. As a result, consumers could become more confident when making buying decisions, increasing the possibility that they will buy something. Understanding how mimic technology works can help businesses create better consumer-friendly goods and services as well as more successful marketing initiatives. This chapter would present a systematic review of the evolution of decision-making process and the role of social robots and mimicking technology. This chapter would explore the most novel and trending advances in AI-based mimicking technology fluxing the consumer buying decisions. Additionally, the study would describe the existing challenges of software architecture of AI-enabled mimicking technologies and social robots. Finally, the study would present the future directions that these systems can take in the future. 2025 Sunanda Vincent Jaiwant, Ajitha Haridasan and Dheepa T. All rights reserved. Subject The topic of the resource Artificial Intelligence; Augmented reality; Consumer decision-making; Mimic technology; Social robots; Virtual reality Publisher An entity responsible for making the resource available Emerald Group Publishing Ltd. Relation A related resource ISBN: 978-183797815-1; 978-183797816-8; 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