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 Grewal, Diva Kaur; Senthilkumaran, Vanishree; Hridhya, P.K. Title A name given to the resource Enhancing customer satisfaction through artificial neural networks (ANNS): Principles, architectures, and practical applications 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 A: Understanding Customers in the Era of Digitalization;pp.103-119 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83549-418-920251007" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83549-418-920251007</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105006486619?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006486619?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 Grewal D.K., Christ University, India; Senthilkumaran V., Christ University, India; Hridhya P.K., Christ University, India Description An account of the resource Artificial neural networks (ANNs) are a powerful paradigm in AI, inspired by the complex structure of the human brain. Their design mirrors biological neural networks that govern the human nervous system, allowing ANNs to excel in tasks from pattern recognition to decision-making. This chapter explores the foundational principles of ANNs, highlighting the interplay between neuroscience and computer science, where digital systems replicate or sometimes surpass human cognitive abilities. The study examines ANNs in various customer-focussed applications, where businesses can leverage ANNs to increase customer satisfaction by predicting and influencing consumer behaviour. This chapter provides an overview of the core principles, architectures, and broad applications of ANNs. It seeks to offer historical insights, understanding the evolution of ANNs and their mathematical foundations. The research explores the building blocks of neural networks, including neurons, layers, and activation functions, and their importance in pattern recognition and information processing. Special emphasis is given to popular architectures like feedforward, recurrent, and convolutional neural networks. ANNs' versatility is demonstrated through surveys of their applications in finance, robotics, and healthcare. This chapter addresses real-world challenges and potential solutions in these domains. This chapter serves as a valuable resource for researchers and practitioners interested in understanding ANNs, how they work, their development, and future advancements in the field. It discusses ANNs' impacts in finance, healthcare, and robotics, alongside ethical considerations. This original contribution provides fresh insights into ANNs, making it valuable for those exploring this emerging topic. 2025 Diva Kaur Grewal, Vanishree Senthilkumaran and Hridhya P. K.. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. Subject The topic of the resource Architecture; Building blocks; Diverse domains; Field; Neural network; Neuroscience Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183549418-9; 978-183549419-6; 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