Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated from data as a complement to physical products. However, this transformation can be complex, as different archetypes of data-driven business models require substantially...

Purpose: This paper synthesizes existing research on tools and methods that support data-driven business model innovation, and maps out relevant directions for future research. Design/methodology/approach: We have carried out a structured literature review and collected and analysed a...

The utilization of data presents significant opportunities for enhancing business models and generating value. Consequently, the integration of data into value creation processes has given rise to the emergence of data-driven business models. This study aims to delineate and introduce diverse...

Data-driven business models imply the inter-organisational exchange of data or similar value objects. Data science methods enable organisations to discover patterns and eventually knowledge from data. Further, by training machine learning models, knowledge is materialised in those models. Thus,...

Cover -- Contents -- Foreword -- Part I: How Digital Giants AreCreating the New Economy -- Chapter 1: The Brave New Digital World -- Chapter 2: Why Companies Miss Out on Big Opportunities -- Chapter 3: Everything Is Changing -- Chapter 4: Scale and Scope in the Digital Economy -- Chapter 5: The...