Blockchain in a Volatile-Uncertain-Complex-Ambiguous World examines the role blockchain brings in supply chain management. The book explores the theoretical foundations and empirical frameworks for using Blockchain for the logistical transportation of goods and examines how blockchain applications, barriers and opportunities of numerous technologies, describing how each converge into feasible integration. Covering policymaking and regulatory issues from a research perspective, this book is a key reference for supply chain management scholars, students and practitioners. - Uses the Volatile-Uncertain-Complex-Ambiguous (VUCA) framework for analyzing blockchain supply chain management - Includes numerous case studies from a variety of industries - Consolidates research of machine learning, IoT, and signal processing technologies for supply chain management

This book covers topics related to implementation of advanced technologies, such as AI, big data, procurement 4.0, Logistics 4.0 and Lean 4.0, in Industry 4.0 for the manufacturing supply chain. Many applications of Industry 4.0 in the manufacturing supply chain have been presented. The content of this book is useful for students, researchers and professionals in order to implement Industry 4.0 in manufacturing supply chain.

In the digital-driven economy era, an AI-oriented competency framework (AIoCF) is a collection to identify AI-oriented knowledge, attributes, efforts, skills, and experiences (AKASE) that directly and positively affect the success of employees and the organization. The application of skills-based competency analytics and AI-equipped systems is gradually becoming accepted by business and production organizations as an effective tool for automating several managerial activities consistently and efficiently in developing and moving the capacity of a company up to a world-class level. AI-Oriented Competency Framework for Talent Management in the Digital Economy: Models, Technologies, Applications, and Implementation discusses all the points of an AIoCF, which includes predictive analytics, advisory services, predictive maintenance, and automated processes, which help to make the operations of project management, personnel management, or administration more efficient, profitable, and safe. The book includes the functionality of emerging career pathways, hybrid learning models, and learning paths related to the learning and development of employees in the production or delivery fields. It also presents the relationship between skills taxonomy and competency framework with interactive methods using datasets, processing workflow diagrams, and architectural diagrams for easy understanding of the application of intelligent functions in role-based competency systems. By also covering upcoming areas of AI and data science in many government and private organizations, the book not only focuses on managing big data and cloud resources of the talent management system but also provides cybersecurity techniques to ensure that systems and employee competency data are secure. This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of workforce training, human resources, talent management systems, requirement, headhunting, outsourcing, and manpower consultant services from different cultures and industries in the era of digital economy.

The Industry 4.0 revolution is changing the world around us. Artificial intelligence and machine learning, automation and robotics, big data, Internet of Things, augmented reality, virtual reality, and creativity are the tools of Industry 4.0. Improved collaboration is seen between smart systems and humans, which merges humans' critical and cognitive thinking abilities with highly accurate and fast industrial automation. Securing IoT in Industry 4.0 Applications with Blockchain examines the role of IoT in Industry 4.0 and how it can be made secure through various technologies including blockchain. The book begins with an in-depth look at IoT and discusses applications, architecture, technologies, tools, and programming languages. It then examines blockchain and cybersecurity, as well as how blockchain achieves cybersecurity. It also looks at cybercrimes and their preventive measures and issues related to IoT security and trust. Features An overview of how IoT is used to improve the performance of Industry 4.0 systems The evolution of the Industrial Internet of Things (IIoT), its proliferation and market share, and some examples across major industries An exploration of how smart farming is helping farmers prevent plant disease The concepts behind the Internet of Nano Things (IoNT), including the nanomachine and nanonetwork architecture and nano-communication paradigms A look at how blockchains can enhance cybersecurity in a variety of applications, including smart contracts, transferring financial instruments, and Public Key Infrastructure An overview of the structure and working of a blockchain, including the types, evolution, benefits, and applications of blockchain to industries A framework of technologies designed to shield networks, computers, and data from malware, vulnerabilities, and unauthorized activities An explanation of the automation system employed in industries along with its classification, functionality, flexibility, limitations, and applications

With a need to find alternatives to the traditional face-to-face teaching and learning during the pandemic, this topical volume discusses the best use of technologies in higher education, addressing the growing role of AI in the digital transformation of higher education systems. With chapters from eminent professors, researchers, and others involved in higher education from a selection of different countries, the volume looks at blockchain and IoT technologies to create smart universities now and for the future.

Nowadays, the latest technologies can be found not only in healthcare and space application but also in hybrid supercars. Supercars and hypercars require high-performance materials with high strength, high stiffness, and light weight. For higher performance, car engines now become stronger but smaller and with lower fuel consumption (with cleaner exhaust). Currently, the automotive industry involves batch production, but in the near future, personalized and individualized automobiles with low and limited quantities can be fabricated in smart factories, which integrate all companies working in the supply chain, from manufacturing to marketing and services. In this regard, future automobiles in smart cities become more personalized (single user, limited version, personal spare parts), safer, and smarter. Blockchain technology is the key to these future perspectives toward intelligent automobiles without any risk of safety, accident, security, theft, or traffic jam. In the current industry, blockchain technology can explore the interconnection of blockchain with other innovative technologies and trends, such as the Internet of Things (IoT) and artificial intelligence (AI), and analyzes the potential to transform business processes and whole industries if these innovations are applied jointly. In the case of the manufacturing sector, manufacturing can provide a high return on investment. It was reported that $1 of investment in manufacturing can create ~$2.5 of economic activity. In addition, smart products should be fabricated from smart materials via the intelligent manufacturing system framework. In smart production, if the products and machines are integrated, embedded, or otherwise equipped with smart sensors and devices, the system can immediately collect the current operating parameters and predict the product quality and then communicate the optimal parameters to machines in the production line. For smart city applications, the global smart cities market size is expected to grow from USD 410.8 billion in 2020 to USD 820.7 billion by 2025 at a compound annual growth rate (CAGR) of 14.8%. For smart city applications, blockchain technology can build on decentralization, immutability, and consensus characteristics. Additionally, intelligent wireless sensor networks can provide big information to monitor and manage the city’s regular operations and services, including traffic and transportation systems, street lighting systems, power plants, water supply networks, waste management, libraries, hospitals, schools, universities, etc. A blockchain-based distributed framework can be used for automobiles in the smart city. This framework can include a novel miner node selection algorithm for the blockchain-based distributed network architecture. This book explores how blockchain technology can be used in the automotive industry from smart manufacturing to the smart city.

The book addresses an explicit demand expressed in a large number of C-Suite interviews: managing significant transformations in the private and public sector. The book describes what types of transformation have to be reflected, why transformations are crucial in our days, the triggers they have, and how they might be best managed from a theoretical and practical point of view – technically and with all people-connected soft facts. The book, which contains numerous use cases, is written by an international community of practitioners, experts, and academics from different geographies, countries, public and private organizations, industries, and cultures, which guarantees the comprehensiveness and richness of the developed insights and the value of the presented use cases.