Generative AI in Action: Empirical Case Studies on Startup Innovation and Entrepreneurial Decision-Making
- Title
- Generative AI in Action: Empirical Case Studies on Startup Innovation and Entrepreneurial Decision-Making
- Creator
- Mehta, Urvish; Nagariya, Ramji
- Description
- 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.
- Source
- Innovative Approaches to AI-Supported Hybrid and Remote Workplaces;pp.259-286
- Date
- 01-01-2026
- Publisher
- IGI Global
- Coverage
- Mehta U., Christ University, India; Nagariya R., Christ University, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833737418-5; 979-833737416-1;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Mehta, Urvish; Nagariya, Ramji, “Generative AI in Action: Empirical Case Studies on Startup Innovation and Entrepreneurial Decision-Making,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/24910.
