ABSTRACT
Beginning in the mid-2010s, the Fourth Industrial Revolution has seen remarkable changes in information technology which have blurred the boundaries between the physical, digital, and biological worlds. Industry 4.0 has enabled so-called "smart factories" in which computer systems equipped with machine learning algorithms can learn and control robotics with minimal need for human input. While smart technology has enabled many manufacturing businesses to increase efficiency and cut costs, many others are still struggling with implementing it.
This book aims to help students, practitioners and industry leaders to become change agents and take their first steps on the path of transformation. Smart Business and Digital Transformation addresses the challenge of becoming "smart" from three different perspectives: smart factory, smart industry, and smart environment. Covering technologies including the Internet of Things (IoT), cloud, artificial intelligence (AI), mobility, 5G, Big Data analytics, the book shows how enterprises can take advantage of them and ultimately beat the competition. The book considers the importance of operational processes, business models, and organizational culture. The contributing authors and editors, based at Corvinus University, present a multi-dimensional picture of industry 4.0 which is both diverse in its voices and unified in its vision. Smart Business and Digital Transformation meets the growing demand for a textbook that not only presents the latest concepts and theories but is also practical for planning, managing, and implementing digital transformation in practice.
The chapters include case studies to demonstrate the practical applications, and each chapter ends with review and discussion questions to develop students’ skills and competencies. Students of business and digital transformation on advanced undergraduate and MBA courses will find it an indispensable guide to a vibrant and challenging topic.
Foreword
Introduction
Part I. SMART FACTORY
1. Definitions and Principles of Industry 4.0
1.1. The fourth industrial revolution
1.2. The impact of I4.0 on the value chain
1.3. Driving forces and barriers of I4.0
2. The concept of continuous and smart improvement
2.1. Striving for perfection
2.2. Long-term strategic planning and thinking
2.3. Project management
2.4. Daily management
2.5. Breakthrough development
2.6. The Future of Continuous Improvement with IoT Technologies
3. The layers of I4.0 systems
3.1. The Internet and the Things
3.2. The modular layers of digital technology
3.3. The evolution of manufacturing
4. Connectivity and data sharing with stakeholders inside and outside the organization
4.1. Why connect?
4.2. Data and information sharing with suppliers and business partners
4.3. Connecting with customers
4.4. Connecting with employees
5. Data mining, analysis and evaluation
5.1. Data characteristics
5.2. Data analysis framework
5.3. Data sources
5.4. Data collection
5.5. Data storage
5.6. Data processing
6. Lean 4.0
6.1. Lean manufacturing
6.2. When Lean meets I4.0
7. Artificial/enhanced intelligence
7.1. AI technologies from industrial applications view
7.2. Industrial artificial intelligence (I-AI) – conceptual background
7.3. Industrial artificial intelligence (I-AI) reference frameworks
8. AI’s impact on the Labour Market
8.1. How bright is the future?
8.2. How to deal with technological unemployment?
8.3. The role of Education in solving technological unemployment
8.4. Worker 4.0
Part II. SMART BUSINESS TRANSFORMATION
9. The business model of I4.0
9.1. Basics and Principles of the Business Model
9.2. The business models in practice
9.3. Digital transformation of business models
10. Marketing Planning in a Smart Industrial Environment
10.1. Toyota’s influence on marketing
10.2. Principles of Business Marketing
10.3. Tools and Methodology in Industrial Marketing Development
10.4. Industrial Marketing in Practice
11. Smart supply chain
11.1. The concept of supply chain management
11.2. Supply chain performance
11.3. Lean or/and agile supply chains
11.4. Supply chain management in the era of Industry 4.0
11.5. Coordination in supply chain management and Industry 4.0
11.6. Integration in supply chain management and Industry 4.0
12. Fintech and Smart banking
12.1. The Fintech Revolution
12.2. Crowdfunding
12.3. The Peer-to-Peer lending
Part III. SMART ENVIRONMENTS
13. Smart cities
13.1. Why do cities need to be smart?
13.2. Analysis of SC using Porter’s Five Forces model
14. Construction 4.0
14.1. The digitised construction value chain
14.2. Construction 4.0 technologies
14.3. Why is digital transformation slow in construction?
15. Smart agriculture
15.1. The Need for Smart Agriculture
15.2. The Concept of Smart Agriculture
15.3. Technologies in Smart Farming
15.4. Agriculture 4.0
16. Society 5.0
16.1. Industry 4.0 and its social consequences
16.2. People-centric and super smart
