Preface

In the last decade, the advancement of technology has created new opportunities, which have revolutionized the ways that organizations work, communicate with their customers, and manage their supply chains. The concept of the metaverse, or a virtual world that is a part of the physical world, has become a revolutionary force in various industries. While doing so, the use of big data analytics in marketing and supply chain management has become crucial for businesses. This book is dedicated to the analysis of the interconnection between these new technologies and the development of contemporary business strategies.

The primary purpose of writing this book was to show how the metaverse and big data analytics can be combined to improve marketing and supply chain activities. The metaverse is not a futuristic idea, but a real world that is steadily becoming an essential component of people’s lives. This creates unprecedented opportunities for organizations to improve customer experiences, operations, and competitiveness.

In this book, we have included a description of the phenomenon of the metaverse and its relevance in the modern business world. We examine the history of the metaverse, starting with the first virtual worlds and progressing to the complex and realistic environments being built today. We define the technologies that are fueling the metaverse, including virtual reality (VR), augmented reality (AR), blockchain, and artificial intelligence (AI). In this book, we aim to provide readers with a historical and technological context for the metaverse, raising awareness of its opportunities and challenges. Furthermore, we focus on the application of big data analytics in the metaverse. Often referred to as the blood of the new digital economy, big data is crucial in the metaverse because users’ activities generate vast quantities of data. Thus, this book presents various methods of analysis and approaches for utilizing big data in the metaverse, while also considering the ethical use, protection, and management of data.

It is our aim that this book will provide useful information to managers, marketers, supply chain practitioners, and academics who are keen to understand the metaverse and big data analytics.

Lastly, we are also grateful to the editors, authors, reviewers, and collaborators who made this book possible. They were instrumental in providing their input for the content of this book.