Business Models: Innovation, Digital Transformation, and Analytics

A focused look at how business models evolve

Business Models: Innovation, Digital Transformation, and Analytics brings together research on how companies rethink value, adapt to digital change, and use analytics to strengthen decision-making. Edited by Iwona Otola and Marlena Grabowska, the volume connects conceptual discussion with empirical studies, so it reads as both a survey of current thinking and a set of grounded investigations into how business models work in practice.

The book’s central concern is straightforward but wide-reaching: what happens to a business model when innovation, digital transformation, and new forms of value creation enter the picture? The chapters address that question from several angles, including high-growth enterprises, employer branding, responsible business, cyber risk, and applied data analytics.

What the book covers

• the development and innovation of business models
• business models in the digital transformation era
• value composition and enterprise performance
• high-growth and high-tech business contexts
• CSR and responsible business models
• cyber protection and business risk
• applied data analytics for decision-making

Why it stands out

This is a research-led collection rather than a general introduction. The chapters draw on methods such as case studies, interviews, surveys, statistical analysis, neural networks, and regression analysis, which gives the book a practical edge for readers who want to see how business-model ideas are investigated, tested, and applied.

Who may find it useful

It will be especially relevant to students, researchers, and practitioners working in management, entrepreneurship, digital business, and business analytics. Readers looking for a cross-disciplinary view of modern business-model thinking will find a compact, chapter-based treatment that moves from theory to application without losing sight of the real-world forces reshaping enterprises.