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Knowledge Management and Industry Revolution 4.0 -

Knowledge Management and Industry Revolution 4.0

Buch | Hardcover
448 Seiten
2024
Wiley-Scrivener (Verlag)
978-1-394-24261-0 (ISBN)
CHF 296,75 inkl. MwSt
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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.

Preface xix Acknowledgement xxiii

1 The 5G Technology IR4 and Knowledge Management 1
Vyshali Rao K. P., Shanthi M. B. and Sudhakar K. N.

2 Impact of Knowledge Management on Industry 4.0 21
Amala J. and Anitha K.

3 Synergizing Knowledge Management in the Era of Industry 4.0: A Technological Revolution for Organizational Excellence 39
Anita Mohanty, Bright Keswani, Subrat Kumar Mohanty, Ambarish G. Mohapatra, Sasmita Nayak and Md Mobin Akhtar

4 Improving Manufacturing: Organizational Innovation Through Effective Knowledge Management, A McElroy Knowledge Life Cycle Approach 87
Arpita Nayak, Atmika Patnaik, Ipseeta Satpathy, Vishal Jain, B.C.M. Patnaik and Majidul Islam

5 Industry 4.0 Trends and Strategies: A Modern Approach with Focus on Knowledge Management 111
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary and Rajneesh Panwar

6 Artificial Intelligence on Knowledge Management and Industry Revolution 4.0: Impacts and Challenges 159
Srideviand Tukkappa K. Gundoor

7 Blending of Knowledge Management with Industry 4.0: A New Formula for Success! 183
Kavitha R. Gowda, Sunanda Vincent Jaswant, Joseph Varghese Kureethara and Jayanta Banerjee

8 Modern Approaches and Implications Toward Industry 4.0 197
Bishnu Kant Shukla, Amit Tripathi, Gaurav Bharti, Bhupender Parashar, Nitin Bhardwaj, Aakash Gupta and Shivam Verma

9 Managing Knowledge in the Era of Industry 4.0: Challenges and Strategies 239
Pawan Whig, Jhansi Bharathi Madavarapu, Nikhitha Yathiraju and Ramya Thatikonda

11 Industrialized Control and Automation System (ICAS): A Software-Defined Analysis Framework for Industry 4.0 299
Karthikeyan V., Dani Reagan Vivek J., Gopalakrishnan K. and Ezhil Kalaimannan

12 Structural Understanding of the Relationship Between Various Consciousness of Programming and Creative Attitudes as Part of Knowledge Management Process 333
Masanori Fukui, Eng Tek Ong, Khar Thoe Ng, Yoon Fah Lay and Subuh Anggoro

13 Blended-Mode Instruction for Knowledge Management Toward IR4.0: Exemplars in Lifelong STREAM Education and The Way Forward 351
Kamolrat Intaratat, Guan Xing Zhi, Subuh Anggoro, Khar Thoe Ng and Dungkamol Intaratat

14 Insight Review on Advanced Digital Manufacturing Technology Solutions for Industry 4.0 371
D. David Neels Ponkumar, K. Saravanan, Riboy Cheriyan and Chinnadurai Manthiramoorthy

15 Enhancing Students’ Learning Achievement, 21st-Century Skills, and Self-Regulation Skills—Knowledge Management and Education 4.0 Perspective 389
Maria Cindy F. Cardona, Amelia T. Buan, Ellen D. Inutan and Rajendra Kumar

Index 413

Erscheinungsdatum
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
ISBN-10 1-394-24261-1 / 1394242611
ISBN-13 978-1-394-24261-0 / 9781394242610
Zustand Neuware
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