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Full Description
Beginning in the mid-2010s, the Fourth Industrial Revolution has seen remarkable changes in information technology that 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 and 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 organisational culture. The contributing authors and editors, based at Corvinus University, present a multidimensional 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.
Contents
Foreword
Introduction
Part I Smart factory
1 Definitions and principles of Industry 4.0
2 The concept of continuous and smart improvement
3 The layers of I4.0 systems
4 Connectivity and data sharing with stakeholders inside and outside the organisation
5 Data mining, analysis and evaluation
6 Lean 4.0
7 Artificial/enhanced intelligence
8 AI's impact on the labour market
Part II Smart business transformation
9 The business model of I4.0
10 Marketing planning in a smart industrial environment
11 Smart supply chain
12 Fintech and smart banking
Part III Smart environments
13 Smart cities
14 Construction 4.0
15 Smart agriculture
16 Society 5.0
