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 Mehta, Urvish; Nagariya, Ramji Title A name given to the resource Generative AI in Action: Empirical Case Studies on Startup Innovation and Entrepreneurial Decision-Making 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 Innovative Approaches to AI-Supported Hybrid and Remote Workplaces;pp.259-286 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7416-1.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7416-1.ch010</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032593938?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032593938?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 Mehta U., Christ University, India; Nagariya R., Christ University, India Description An account of the resource Generative artificial intelligence (AI) is quickly reshaping the world of entrepreneurship and offers startups more opportunities than ever before to innovate and make strategic decisions, as well as to operate more effectively. The chapter is a synthesis of 50 recent academic articles that critically examine how generative AI, specifically large language models and creative automation systems, is transforming the business model design process and venture execution. It discusses two significant directions, one the effect of generative AI in startup innovation of quick product ideation, bespoke customer service and scalable solutions and the other the effect that AI will have on entrepreneurial decision-making, with AI-based analytics and support systems informing resource allocation and market perspective. Based on empirical evidence and practical case studies, the chapter offers practical recommendations to successful adoption and sets the research directions in the future to allow the full implementation of the transformative abilities of generative AI in the startup world. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833737418-5; 979-833737416-1; 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