Knowledge Management and Industrial Revolution 4.0 Practices and Challenges

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.

Rajendra Kumar, PhD, is an associate professor in the Department of Computer Science & Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India. He has published 5 textbooks and about 35 papers in national and international journals and conferences.

Vishal Jain, PhD, is an associate professor at Sharda University, Greater Noida, India. His research interests focus on information retrieval, the semantic web, ontology engineering, data mining, etc. He has edited 50 books for a variety of publishers and authored 95 research papers for reputed conferences and journals. Jain has several awards, which include the 2012 Young Active Member Award and the 2019 Best Researcher Award.

Venus C. Ibarra, MD, DBA, works as the dean of the MBA/DBA Department of San Pablo Colleges, Philippines. Ibarra also works as a lecturer at the Ateneo Graduate School of Business in management accounting. Ibarra earned her master’s degree in business administration at the Philippines Women’s University. She has professional experience in administration, finance, budgeting, and statistical functions. In 2009, Ibarra was recognized as an outstanding finance educator by CITI NBank and Bank Central in the Philippines.

Corrienna Abdul Talib, PhD, is a senior lecturer in the Department of Educational Science, Mathematics, and Creative Multimedia, Universiti Teknologi, Malaysia. She is a certified computational thinking master trainer who designs professional skill courses at UTM and researches and leads projects on computational skills, microscale chemistry, visual programming language, and educational robotic and game-based learning.

Vinay Kukreja, PhD, is a professor of computer science & engineering at Chitkara University, Punjab, India. His research interests primarily focus on machine learning, deep learning, agile software development, image processing, etc. He has about 90 articles indexed in Scopus and has authored 3 books. In 2018, Kukreja received the first prize in the SIH Hackathon from the Ministry of Housing & Urban Affairs, India.