About this ebook
The book is designed to inspire and enable readers to cope with the challenges and opportunities in the modern software startup landscape. To this end, it consists of three themes, each highlighting various aspects of advancements in software startups. First, Generative AI for Startups presents scientific evidence and practical experiences that illustrate how GenAI can be applied in startup operations. They discuss realized benefits as well as challenges that startups may face when adopting GenAI. Next, Product Engineering highlights advanced engineering processes for developing new products and services. This encompasses hypothesis engineering and experimentation for early-stage startups, the role of product management, and the adoption of agile methodologies in the startup context. Eventually, Business Development and Growth deals with aspects such as structured decision-making in pricing strategies, entrepreneurial opportunities created by emerging technologies, and the growth of startups supported by ecosystems.
This book is designed for a diverse group of readers engaged with or affected by software startups: entrepreneurs and startup founders seeking evidence-based strategies, innovative tools, and case studies to support their ventures; developers and managers in such startups, seeking to better understand how current trends affect their roles; and lecturers aiming to develop or refine curricula on entrepreneurship and innovation.
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About the author
Nirnaya Tripathi is a researcher associated with the University of Oulu, Finland, specializing in the fields of software startups, entrepreneurship, and innovation management. His research focuses on understanding the dynamics of startup ecosystems, particularly in the context of software and technology-driven businesses.
Henry Edison is a senior lecturer in software engineering at Blekinge Tekniska Högskola (BTH), Karlskrona, Sweden. His research interests include empirical software engineering in the area of software product innovation, software startups, agility and human factors in software engineering.
Xiaofeng Wang is an associate professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy. Her main research areas include software startups, agile and lean software development and innovation, and human factors in software engineering as well as software startup education.
