Qiu Value Co-Creation in Web 3.0

Blockchain, Metaverse, and Privacy Preservation
Erscheinungsjahr 2026
ISBN: 978-3-032-12911-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 128 Seiten

Reihe: Advances in Data Analytics, AI, and Smart Systems

This book explores the architecture and framework for co-creating the most valuable and promising data in the future Internet, often referred to as Web 3.0, from the end user’s perspective. Unlike the current platform economy, where user’s daily usage and activity data is predominantly held by individual organizations, Web 3.0 advocates for decentralized data management across interconnected platforms. This approach aims to fully utilize the vast amounts of data generated by the increasingly connected physical world. The book explains how Web 3.0 can be developed with fundamental and technological support to enhance decentralized data management and maximize benefits for end users. Additionally, it presents two use cases to illustrate how value co-creation can be achieved using Web 3.0.

The book is aimed primarily at students from business and engineering schools. It also serves as a valuable teaching resource for instructors in management information systems (MIS), information systems, information science and technology, and data and computing sciences. Additionally, professionals interested in digital transformation, blockchain technology, data analytics, AI, and digital economy policymaking will find it highly relevant.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Qiu, Robin

Inhaltsverzeichnis

The Evolution of the Internet.- Fundamental Technologies of Web 3.0.- The Pillars of Web 3.0.- Value Co-creation Case Study: The Smart Car Ecosystem.- Value Co-creation Case Study: The Smart City Ecosystem.- Web3-Driven Value Co-Creation in Future Smart Ecosystems.

Über Autor(innen)

Robin Qiu is a full Professor of Information Science at Pennsylvania State University, USA. He teaches a variety of courses including predictive analytics, management science, business process management, decision support systems, project management, enterprise integration, enterprise service computing, software engineering, web-based systems, distributed systems, computer architecture, computer and cyber security, operations research, and system engineering. He holds a Ph.D. in Industrial Engineering and a Ph.D. (minor) in Computer Science both from Pennsylvania State University. Dr. Qiu’s research interests include big data, AI, blockchain & edge computing, data/business analytics, smart service systems, service science, service operations and management, and Web 3.0.