The impacts of the digital transformation on society in general, and particularly on people's lives, are the subject of increasing debate among policymakers, researchers and industry. This book explores the challenges of this new revolution, identifies solutions, and demonstrates how knowledge management can enable the transition process associated with the digital transformation, guided by the principles of sustainability. Featuring contributions by experts from diverse areas of science and business - on topics ranging from the digital transformation of knowledge management in the public sector, to the creation of sustainable smart cities, regions and countries, and from using AI for business models to food security - it provides a comprehensive discourse on the digital transformation's impacts on employment, education, governance, social life, sustainability, values, the economy and democracy.

The growing body of research on business models draws upon a range of sub-disciplines, including strategic management, entrepreneurship, organization studies and management accounting. Business Models: A Research Overview provides a research map for business scholars, incorporating theoretical and applied perspectives. It develops the field of business model research by offering a critique of the field as it has developed to date and provides a guide for future research and theorization. The research performed as a basis for this book improves and extends prior subjective and less-documented work by using a scientific approach to identifying impactful research. The book argues that business model research is a mature field and that future research should focus on performative and ecosystem-based contributions, with the timely identification of four distinct stages of business model research. The study here provokes a new set of research questions, which are addressed in the concluding passages of Chapters 5–8, as a point of departure for those researching business models. This book is essential primary reading for scholars and practitioners of business models who are looking to seek out new knowledge and build new perspectives.

Technological advancements are contributing to shape future business models and the industrial scenario. Companies face the challenge of having to adapt to the frequently shifting technology landscape. Therefore, organizations must exploit technological advances to thrive in the digital revolution. This book presents and discusses emerging digital business models in the Industry 4.0. These models are illustrated with real case studies and include data-driven, platform, smart factory and servitization among others. The book introduces a detailed classification to help organizations to redesign their current business models and discusses how to gain unique competitive advantages. The book includes not only theoretical concepts to understand the context of digital transformation but also an assessment framework to enable and support innovation in organizations and create new revenue streams. The book will be of interest to students and professionals alike who want to understand the core of the Industry 4.0.

The growing body of research on business models draws upon a range of sub-disciplines, including strategic management, entrepreneurship, organization studies and management accounting. Business Models: A Research Overview provides a research map for business scholars, incorporating theoretical and applied perspectives. It develops the field of business model research by offering a critique of the field as it has developed to date and provides a guide for future research and theorization. The research performed as a basis for this book improves and extends prior subjective and less-documented work by using a scientific approach to identifying impactful research. The book argues that business model research is a mature field and that future research should focus on performative and ecosystem-based contributions, with the timely identification of four distinct stages of business model research. The study here provokes a new set of research questions, which are addressed in the concluding passages of Chapters 5-8, as a point of departure for those researching business models. This book is essential primary reading for scholars and practitioners of business models who are looking to seek out new knowledge and build new perspectives.

The impacts of the digital transformation on society in general, and particularly on people's lives, are the subject of increasing debate among policymakers, researchers and industry. This book explores the challenges of this new revolution, identifies solutions, and demonstrates how knowledge management can enable the transition process associated with the digital transformation, guided by the principles of sustainability. Featuring contributions by experts from diverse areas of science and business - on topics ranging from the digital transformation of knowledge management in the public sector, to the creation of sustainable smart cities, regions and countries, and from using AI for business models to food security - it provides a comprehensive discourse on the digital transformation's impacts on employment, education, governance, social life, sustainability, values, the economy and democracy.

Technological advancements are contributing to shape future business models and the industrial scenario. Companies face the challenge of having to adapt to the frequently shifting technology landscape. Therefore, organizations must exploit technological advances to thrive in the digital revolution. This book presents and discusses emerging digital business models in the Industry 4.0. These models are illustrated with real case studies and include data-driven, platform, smart factory and servitization among others. The book introduces a detailed classification to help organizations to redesign their current business models and discusses how to gain unique competitive advantages. The book includes not only theoretical concepts to understand the context of digital transformation but also an assessment framework to enable and support innovation in organizations and create new revenue streams. The book will be of interest to students and professionals alike who want to understand the core of the Industry 4.0.

This book with both its holistic approach and its well-chosen evidence, builds a bridge between the abstract world of economists and the practical real-life situations that we find in both the developed and the developing world. The book clearly shows that promoting sustainable development is not an end in itself, but the means to establish a fair societal structure, equitable economics and a just market.