Get up to speed with how the latest knowledge management and industry 4.0 technologyhelp make enterprises secure, controlled, and optimized for a better future. This book focuses on how the practices of Industrial Revolution 4.0 and knowledge management interact to create value. In recent years, value chain relationships and related activities have utilized new technologies so that existing conceptual frameworks require a roadmap for innovation strategies and effective implementation. The chapters in this book include case studies contributed by researchers and industry practitioners that showcase the impact of practices and challenges presented by technological changes, upgrading of old systems, and internal and external factors. Knowledge Management and Industrial Revolution 4.0 describes how knowledge management impacts the automation of the industry in secure, controlled, and optimized ways. For instance, the use of the latest technologies and sensors can lead to significant time and cost savings, and operators can utilize their machines and equipment from remote locations. The Industrial Revolution 4.0 incorporates the latest technologies for automation and, in many cases, the result is similar to working from home, even in manufacturing. The use of deep learning should offer many quality control benefits. Furthermore, blockchain technology can help the industry with automation in secure and transparent ways. Apart from industry automation, other departments like human resources can also use effective knowledge management for better outcomes. The use of HR knowledge management allows employees to find and access the information they require without the assistance of the HR department. The book focuses on every aspect of the industry to help all the stakeholders of an organization. The benefits include a reduction in time required for accessing information, easier training, decreased operational expenses, improved stakeholders’ satisfaction, faster problem-solving, increased pace of innovation, simpler employee review and progress reports. Audience The book will have a wide audience within academia, education, businesses, and industrial organizations, especially those who are undergoing industry 4.0 changes to optimize for a better future.

Digital technologies have created an opportunity to bring together knowledge management, leadership, and innovation. Any business that wishes to thrive in today's competitive digital landscape must prioritize knowledge management. Leadership in the digital era is about leveraging digital tools to manage knowledge to attain a strategic advantage effectively. Thus, leadership is an essential and central element for knowledge creation, acquisition, utilization, and integration. As a result, this book will focus on knowledge management, leadership, and innovation, all intertwined but not covered in existing research. The book integrates knowledge management, leadership, and innovation into a unified framework in the era of digitization, exploring the benefits knowledge management can bring to organizations adapting to new digital requirements in a dynamic environment. It presents both theoretical and empirical research to synthesize these distinct disciplines in a cohesive body of work. The resulting model will create a useful framework to be applied to future research and further add to practical and theoretical implications. The book is primarily written for scholars, researchers, and advanced students with an interest in the three disciplines and associated fields.

The text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features: Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices Highlights the importance of industrial and medical IoT Illustrates applications of the IoT in robotics, smart grid, and smart cities Presents real-time examples for better understanding The text comprehensively discusses design principles, modernization techniques, advanced developments in artificial intelligence.This will be helpful for senior undergraduates, graduate students, and academic researchers in diverse engineering fields including electrical, electronics and communication, and computer science.

The Fourth Industrial Revolution revolves around cyber-physical systems and artificial intelligence. Little is certain about this new wave of innovation, which leaves industrialists and educators in the lurch without much guidance on adapting to this new digital landscape. Society must become more agile and place a higher emphasis on lifelong learning to master new technologies in order to stay ahead of the changes and overcome challenges to become more globally competitive. Promoting Inclusive Growth in the Fourth Industrial Revolution is a collection of innovative research that focuses on the role of formal education in preparing students for uncertain futures and for societies that are changing at great speed in terms of their abilities to drive job creation, economic growth, and prosperity for millions in the future. Featuring coverage on a broad range of topics including economics, higher education, and safety and regulation, this book is ideally designed for teachers, managers, entrepreneurs, economists, policymakers, academicians, researchers, students, and professionals in the fields of human resources, organizational design, learning design, information technology, and e-learning.

This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered. This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing.

Industry 4.0 refers to fourth generation of industrial activity characterized by smart systems and internet-based solutions. This book describes the fourth revolution based on instrumented, interconnected and intelligent assets. The different book chapters provide a perspective on technologies and methodologies developed and deployed leading to this concept. With an aim to increase performance, productivity and flexibility, major application area of maintenance through smart system has been discussed in detail. Applicability of 4.0 in transportation, energy and infrastructure is explored, with effects on technology, organisation and operations from a systems perspective.

The book discusses the opportunities and challenges of managing knowledge in the new reality of Industry 4.0. Addressing paradigmatic changes in value creation due to the development of digital technologies applied to manufacturing (additive manufacturing, IoT, robotics, etc.), it includes theoretical and empirical contributions on how Industry 4.0 technologies allow firms to create and exploit knowledge. The carefully selected expert contributions highlight the potential of these technologies in acquiring knowledge from a larger number of sources and examine approaches to innovation, organization of activities, and stakeholder development in the context of this next industrial revolution.

Through a critical review of existing related theories and models, the authors address gaps in existing workforce management studies and propose a conceptual model to improve the management of workers in the construction industry.

Orchestrating Value: Population Health in the Digital Age focuses on the leadership thinking and mindset changes needed to transition from brick and mortar healthcare to digital health and connected care. The fourth industrial revolution, with convergent disruptions in biology, business models, computer science, and culture, has the potential to transform the healthcare system like never before. Digital health startups, Big Tech and progressive health systems will change the way health and healthcare are delivered to increasingly digitally savvy consumers. This book challenges readers to rethink the role of data and technology in creating and designing the future. Rather than hooking value-based care and population health management onto traditional healthcare business models, it focuses on the emergence of digital ecosystems. Using the analogy of an orchestra, the book introduces the importance of platforms in the formation of communities and markets with network effects to allow participants to collaborate, create, and innovate. With quotes from healthcare industry leaders and change agents, it helps the strategist understand the three stages of the transition from volume to value. As conductor of the orchestra, the CEO must navigate important leadership pivots to move beyond silo-based thinking. Finally, the Care Management Platform is described as a new operating model for population health in the digital age. As the next generation beyond foundational EHRs, capabilities such as interoperability, analytics, care management and patient/consumer engagement will fundamentally change the way healthcare enterprises operate and deliver value to customers.