Prelims
Understanding Industry 4.0: AI, the Internet of Things, and the Future of Work
ISBN: 978-1-78973-312-9, eISBN: 978-1-78973-311-2
Publication date: 2 September 2019
Citation
Sergi, B.S., Popkova, E.G., Bogoviz, A.V. and Litvinova, T.N. (2019), "Prelims", Understanding Industry 4.0: AI, the Internet of Things, and the Future of Work, Emerald Publishing Limited, Leeds, pp. i-xviii. https://doi.org/10.1108/978-1-78973-311-220191004
Publisher
:Emerald Publishing Limited
Copyright © 2019 Emerald Publishing Limited
Half Title
UNDERSTANDING INDUSTRY 4.0
Title Page
UNDERSTANDING INDUSTRY 4.0: AI, THE INTERNET OF THINGS, AND THE FUTURE of Work
BY
BRUNO S. SERGI
Harvard University, USA and University of Messina, Italy
ELENA G. POPKOVA
Plekhanov Russian University of Economics, Moscow, Russia
ALEKSEI V. BOGOVIZ
National Research University “Higher School of Economics”, Russia
AND
TATIANA N. LITVINOVA
Volgograd State Agrarian University, Russia
United Kingdom – North America – Japan – India – Malaysia – China
Copyright
Emerald Publishing Limited
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First edition 2019
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ISBN: 978-1-78973-312-9 (Print)
ISBN: 978-1-78973-311-2 (Online)
ISBN: 978-1-78973-313-6 (Epub)
Contents
List of Figures and Tables | ix |
About the Authors | xv |
Foreword | xvii |
Part I Overview of Future Professions in Industry | |
Chapter 1 Outlines of the Context for Industry 4.0 | 3 |
Chapter 2 Future Professions in Industry | 11 |
Chapter 3 Map of Competences for Representatives of Future Professions in Industry | 17 |
Part II Future Professions in Agriculture | |
Chapter 4 Future Outlines of Agriculture in the Agro-Industrial Complex 4.0 | 25 |
Chapter 5 Future Professions in Agriculture | 33 |
Chapter 6 Map of Competences for Representatives of Future Professions in Agriculture | 41 |
Part III Future Professions in Medicine | |
Chapter 7 Future Outlines of Medicine at the Threshold of a Genetic Revolution | 49 |
Chapter 8 Future Professions in Medicine | 55 |
Chapter 9 Map of Competences for Representatives of Future Professions in Medicine | 63 |
Part IV Future Planned Professions in Education | |
Chapter 10 Future Outlines in the Sphere of Education in the Age of the Information Economy | 73 |
Chapter 11 Future Professions in Education | 79 |
Chapter 12 Map of Competences for Representatives of Future Professions in Education | 85 |
Part V Expected Professions in Body Care and Fitness | |
Chapter 13 Future Outlines of the Body Care and Fitness Sector | 95 |
Chapter 14 Future Professions in Body Care and Fitness | 101 |
Chapter 15 The Map of Competences for Representatives of Future Professions in Body Care and Fitness | 109 |
Part VI The Key Future Professions in R&D | |
Chapter 16 The Future Outline of the R&D Sector in the Context of the Formation of the Innovation Economy | 119 |
Chapter 17 Future Professions in R&D | 133 |
Chapter 18 The Map of Competences for Representatives of Future Professions in R&D | 139 |
Part VII Perspectives on Future Professions in Transport and Communications | |
Chapter 19 Future Outline of the Transport and Communications Sector in the Context of a Revolution in Information Communication Technologies | 149 |
Chapter 20 Future Professions in Transport and Communications | 157 |
Chapter 21 The Map of Competences for Representatives of Future Professions in Transport and Communications | 165 |
Part VIII Recommendations for Successful Modern Workers | |
Chapter 22 Common Features and Competences that are Necessary for All Future Professions | 175 |
Chapter 23 The Concept of Lifelong Learning as the Basis for Mastering Future Professions | 183 |
Chapter 24 An Algorithm for Selecting and Mastering Future Professions | 189 |
Chapter 25 The Model of State Management for the Process of Selecting and Mastering Future Professions | 195 |
Conclusions | 201 |
List of Acronyms | 203 |
References | 205 |
Index | 223 |
List of Figures and Tables
Figures
Fig. 1.1 | A Unified View for the Future Outline of Industry in the Context of the Formation of Industry 4.0. | 9 |
Fig. 3.1 | The Algorithm for Mastering Future Professions in Industry. | 21 |
Fig. 4.1 | Future Outlines of Agriculture Under the Conditions of AIC 4.0. | 30 |
Fig. 6.1 | Algorithm for Mastering Future Professions in Agriculture. | 45 |
Fig. 7.1 | Future Outlines of Medicine at the Threshold of the Genetic Revolution. | 52 |
Fig. 9.1 | Algorithm for Mastering Future Professions in Medicine. | 69 |
Fig. 10.1 | Future Outlines of the Sphere of Education in the Age of the Information Economy within the Scenario of Remote Education. | 78 |
Fig. 12.1 | Algorithm for Mastering the Future Professions inRemote Education. | 90 |
Fig. 13.1 | Factors, Features, and Tools Influencing the Achievement of an Ideal/Model Appearance in the Future (2030). | 97 |
Fig. 13.2 | The Future Outline of the Body Care and Fitness Sector. | 100 |
Fig. 15.1 | Algorithm for Mastering Future Professions in Body Care and Fitness. | 115 |
Fig. 16.1 | Correlation Graph (Regression Curve) of Robot Supply and GDP per Capita in the World in 2009–2021. | 122 |
Fig. 16.2 | Correlation Graph (Regression Curve) of Expenditures for R&D and GDP per capita in the World in 2009–2021. | 122 |
Fig. 16.3 | Correlation Graph (Regression Curve) of Robot Density and GDP per capita in Developed Countries in 2019. | 126 |
Fig. 16.4 | Correlation Graph (Regression Curve) of Expenditures for R&D and GDP per capita in Developed Countries in 2019. | 127 |
Fig. 16.5 | Correlation Graph (Regression Curve) of Robot Density and GDP per capita in Developing Countries in 2019. | 127 |
Fig. 16.6 | Correlation Graph (Regression Curve) of Expenditures for R&D and GDP per capita in Developing Countries in 2019. | 127 |
Fig. 16.7 | Future Outline of the R&D Sector in the Context of the Formation of the Innovation Economy. | 131 |
Fig. 18.1 | Algorithm for the Mastering of Future Professions in R&D. | 145 |
Fig. 19.1 | Future Outline of the Sphere of Transport Amid the Revolution of Information and Communication Technologies. | 152 |
Fig. 19.2 | Future Outline of the Sphere of Communications Amid the Revolution of Information and Communication technologies. | 155 |
Fig. 21.1 | Algorithm for Mastering Future Professions in Transport and Communications. | 170 |
Fig. 22.1 | The Mechanism for Mastering Professions and Executing Professional Functions at Present (Early 2019). | 178 |
Fig. 22.2 | The Mechanism for Mastering Professions and Execution of Professional Functions in the Future (2025–2030) | 180 |
Fig. 23.1 | The Logic for a Modern Employee to Master a Future Profession Based on the Concept of Lifelong Learning. | 188 |
Fig. 24.1 | The Algorithm for the Selection and Mastering of Future Professions. | 191 |
Fig. 25.1 | The Model for State Management of the Process of Selecting and Mastering Future Professions. | 198 |
Tables
Table 1.1 | Number of Employees in the Industry and Share of Industry in GDP (as of 2018). | 4 |
Table 1.2 | Scenarios for the Development of Industry in the Context of the Formation of Industry 4.0. | 6 |
Table 2.1 | Dynamics of Labor Efficiency in Industry in the Leading Manufacturing Countries of Industrial Products in Terms of their Share of the Global Market and GDP (Top 10), as of 2018. | 13 |
Table 2.2 | Functions Performed in Industry under the Conditions of Industry 4.0 given Business Processes and Subjects (Human/Machine). | 14 |
Table 3.1 | Map of Competences for an AI Tester. | 19 |
Table 3.2 | Map of Competences for a Controller of Automatized Production. | 20 |
Table 3.3 | Map of Competences for a Robototronics Engineer. | 20 |
Table 4.1 | The Number of Employees and Unemployment Rates in the 10 Countries with the Most Developed Agricultural Sectors (as of 2018). | 26 |
Table 4.2 | Factors Affecting the Future Development of Agriculture. | 27 |
Table 4.3 | Scenarios for the Adaptation of Agriculture to Challenges on its Future Development. | 28 |
Table 5.1 | Dynamics of Labor Efficiency in Agriculture in the Countries with the Most Developed Agricultural Sectors (as of Year-end 2018). | 35 |
Table 5.2 | Functions in Agriculture under the Conditions of AIC 4.0 given Business Processes and Subjects (Human/Machine). | 36 |
Table 6.1 | Map of Competences for a Selector. | 43 |
Table 6.2 | Map of Competences for an Agricultural Optimizer. | 44 |
Table 7.1 | Comparative Approaches of Medical Services Before and After the Genetic Revolution. | 51 |
Table 7.2 | Professional Characteristics of Medicine after the Genetic Revolution. | 53 |
Table 8.1 | Dynamics of the Number of Employees and Employment Rate in Medicine in Countries with a Highly Effective System of Healthcare in 2013–2017. | 57 |
Table 8.2 | Dynamics of the Unemployment Rate in Medicine in Countries with a Highly Effective System of Healthcare in 2013–2017. | 58 |
Table 8.3 | Functions in Medicine after the Genetic Revolution in given Business Processes and Subjects (Human/Machine). | 60 |
Table 9.1 | Dynamics of Efficiency in Medicine in the Countries with Highly Effective Systems of Healthcare in 2013–2017. | 65 |
Table 9.2 | Map of Competences for a Genetic Modifier. | 66 |
Table 9.3 | Map of Competences for a Creative Immunologist. | 67 |
Table 10.1 | Forecast Scenarios for the Development of the Educational Sector in the Age of the Information Economy. | 77 |
Table 11.1 | Functions in Education in View of Business Processes and Subjects (Human/Machine). | 82 |
Table 12.1 | Map of Competences for a Digital Marketing Specialist. | 88 |
Table 12.2 | Map of Competences for School Counselor in Remote Education. | 89 |
Table 12.3 | Map of Competences for a Remote Teacher. | 89 |
Table 13.1 | Characteristics of the Future Outline of the Body Care and Fitness Sector. | 99 |
Table 14.1 | Dynamics of the Number of Employees and the Unemployment Rate in Body Care and Fitness in the Countries (Top 25) with the Most Developed Plastic Surgery Sectors (As of Year-end 2018). | 103 |
Table 14.2 | Functions in Body Care and Fitness in View of Business Processes and Subjects (Human/Machine). | 104 |
Table 15.1 | Labor Efficiency in Body Care and Fitness in the Countries (Top 25) with the Most Developed Plastic Surgery Sectors (As of Year-end 2018). | 111 |
Table 15.2 | Map of Competences for a Consultant for the Change of Human Appearance. | 112 |
Table 15.3 | Map of Competences for a Designer of Human Appearance. | 113 |
Table 15.4 | Map of Competences for Fitness Instructor and Psychologist. | 114 |
Table 15.5 | Map of Competences for a Cosmetologist for the Creation and Removal of Body Parts. | 114 |
Table 16.1 | Leaders in Global Ratings and the Values of Key Indicators of the Innovation Economy in 2018. | 120 |
Table 16.2 | Dynamics of GDP per capita, Level of Robot Density, and Expenditures for R&D in the Global Economy in 2009–2021. | 121 |
Table 16.3 | Regression Analysis of Dependence of GDP per capita on Robot Density and Expenditures for R&D in the World in 2009–2021. | 123 |
Table 16.4 | Dynamics of GDP per capita, Robot Density, and Expenditures for R&D in Developed Countries in 2019. | 124 |
Table 16.5 | Regression Analysis of Dependence of GDP per capita on Robot Density and Expenditures for R&D in Developed Countries in 2019. | 125 |
Table 16.6 | Dynamics of GDP per capita, Robot Density, and Expenditures for R&D in Developing Countries in 2019. | 126 |
Table 16.7 | Regression Analysis of Dependence of GDP per capita on Robot Density and Expenditures for R&D in Developing Countries in 2019. | 128 |
Table 16.8 | Characteristics of the Future Outline of the R&D Sector in the Context of the Formation of the Innovation Economy. | 130 |
Table 17.1 | Characteristics of the State of the R&D Sector in the Leading Countries of the Global Economy as of 2018. | 135 |
Table 17.2 | Functions in R&D in the Context of the Formation of the Innovation Economy in View of Business Processes and Subjects (Human/Machine). | 137 |
Table 18.1 | Actual and Estimated Indicators of Labor Efficiency in the Economy as a whole and in the Sphere of R&D in Particular, in G7 and BRICS Countries. | 141 |
Table 18.2 | The Map of Competences for a Digital B2B Marketing Specialist in R&D. | 142 |
Table 18.3 | Map of Competences for a Generator of Innovational Ideas. | 143 |
Table 18.4 | The Map of Competences for a Tester of the Automatized Innovational Process. | 144 |
Table 19.1 | Level of Development of Information and Communication Technologies in Certain Developed and Developing Countries between 2008 and 2018 (and its Growth). | 150 |
Table 19.2 | Characteristics of the Future Outline of the Sphere of Transport Amid the Revolution of Information and Communication Technologies. | 151 |
Table 19.3 | Characteristics of the Future Outline of the Sphere of Communications Amid a Revolution in Information and Communication Technologies. | 154 |
Table 20.1 | Dynamics of the Values for the Indicators of Growth and Development in the Sphere of Transport and Communications in the G7 and BRICS between 2008 and 2018. | 158 |
Table 20.2 | Functions in Transport Amid the Revolution of Information and Communication Technologies in View of Business Processes and Subjects (Human/Machine). | 160 |
Table 20.3 | Functions in Communications Amid the Revolution of Information and Communication Technologies in View of Business Processes and Subjects (Human/Machine). | 162 |
Table 21.1 | Indicators that Reflect the Place and Role of Transport and Communications in the Russian Economy in 2008 and 2018. | 166 |
Table 21.2 | The Map of Competences for an Operator of Unmanned Transport Vehicles. | 167 |
Table 21.3 | Map of Competences for an Engineer of Unmanned Transport Vehicles. | 167 |
Table 21.4 | The Map of Competences for a Developer of New Modes of Communications. | 168 |
Table 21.5 | The Map of Competences for a Specialist in Cyber Security. | 168 |
Table 22.1 | The Indicators Reflecting the Value of the Level of Education for Employment in Russia as of Year-end 2018. | 177 |
Table 22.2 | Comparative Analysis of the Modern and Future Practice of the Application of the Competence-based Approach to Determine Professions. | 179 |
Table 22.3 | Common Features and Competences that are Needed in all Future Professions. | 181 |
Table 23.1 | Participation in Lifelong Learning in Certain Countries, as of 2018. | 186 |
Table 23.2 | Regression Analysis of the Dependence of Digital Knowledge Index (y) on the Participation of Employees in Lifelong Learning (x). | 187 |
Table 23.3 | Comparative Analysis of the Modern and Future Practice of Lifelong Learning from the Position of Belonging to a Profession. | 187 |
Table 24.1 | Criteria for Evaluating General Competences in the Future Economy based on the Competence-based Approach. | 193 |
Table 25.1 | Dynamics of the Values of Indicators on the Regulation of the Process of Selecting and Mastering Professions in Russia in 2005–2018. | 197 |
About the Authors
Bruno S. Sergi is an Instructor of the Economics of Emerging Markets and the Political Economy of Russia and China at Harvard University and an Associate of Harvard’s Davis Center for Russian and Eurasian Studies and the Harvard Ukrainian Research Institute. He also teaches International Economics at the University of Messina. He is the Series Editor of Cambridge Elements in the Economics of Emerging Markets, the Co-series Editor of the Emerald Publishing book series Lab for Entrepreneurship and Development, and the Associate Editor of The American Economist. He is the Scientific Director of the Lab for Entrepreneurship and Development and of the International Center for Emerging Markets Research at RUDN University in Moscow.
Elena G. Popkova is a Doctor of Economics, a Professor, and a leading Researcher at Plekhanov Russian University of Economics, Moscow, Russia. Her spheres of scientific interest include economic growth, sustainable development, globalization, humanization of economic growth, developing countries, institutionalization of social development, development planning, and strategic planning. She is a Guest Editor for International Journal of Educational Management (special issue, 2016, 2018), International Journal of Trade and Global Markets (special issue, 2017), Journal of Entrepreneurship in Emerging Economies (special issue, 2017), and Contributions to Economics (Springer book series). She has more than 300 publications in Russian and foreign peer-reviewed journals and books.
Aleksei V. Bogoviz is a Professor in the Department of Local Administration at the School of Public Administration and a Faculty of Social Sciences in the Higher School of Economics in Moscow, Russia. His spheres of scientific interest include economic growth, sustainable development, globalization, developing countries, institutionalization of social development, planning of development and strategic planning, agriculture, agro-industrial complex, digital economy, and state management. He has more than 200 publications in Russian and foreign peer-reviewed journals and books.
Tatiana N. Litvinova is an Associate Professor of the Department “Economics” in Volgograd State Agrarian University. Her scientific interests include economic growth, sustainable development, development planning, strategic planning, and Russian market of agricultural machinery. She has multiple publications in Russian and foreign peer-reviewed journals on these topics.
Foreword
The global transition to the Fourth Industrial Revolution (Industry 4.0) is already underway. R&D on leading digital technologies is now conducted around the world. The essential novelty of these disparate technologies, aimed at revolutionizing cyber-physical systems, allows them to be classified together as “Industry 4.0.” These technologies include the Internet of Things, the blockchain, 3D printing, technologies of virtual and alternate reality, technologies to manage Big Data processing, the use of artificial intelligence, and others.
The increasing accessibility of these leading technologies is stimulating the intensive development of hi-tech spheres of the economy. There is high demand for such breakthrough innovations from both private business and governments, which seek the common goal of an increase in the effectiveness and provision of high global competitiveness in the economy in the long-term. The inflow of public and private financing, as well as the rapid implementation of the results of R&D, ensures practical implementation. In a relatively short period of time (by 2025–2030) it will be possible to replace older technologies in all business processes and to form companies of a new type, which will be part of Industry 4.0.
Each of the three earlier industrial revolutions radically increased the effectiveness of economic activities, reducing marginal costs and raising labor efficiency, but at the same time led to negative social consequences – the growth of unemployment rates and the necessity for retraining and changes in the professions. The consumer and professional spheres of human society are closely interconnected. The advantages of mass accessibility and the emergence of new types of goods in the economy in the short- and even mid-term was outweighed by the drawbacks of complex social adaptations necessitated by changes in the labor market.
As the market for educational services cannot adapt instantaneously, creating new specialties and educational programs to retrain representatives of professions that disappear, and the labor market cannot offer a quick replacement for these lost professions, previous industrial revolutions led to long periods of social adaptation. The reduction of effective demand caused by professional categories losing their source of earned income hindered society from taking advantage of the mass production and accessibility of innovational goods – so the growth of living standards was only seen in the long-term (in 5–10 years).
The Fourth Industrial Revolution will not be an exception. On the contrary, unlike the earlier industrial revolutions, which envisaged the automatization of certain spheres of the economy or business processes, the new industrial revolution will lead to almost complete automatization, which will influence almost all spheres and all business processes. This is a fact that leads us to expect deep transformational processes in the professional sphere of human society and the elevated risk of the emergence of a social crisis.
However, as of now, at the beginning of the Fourth Industrial Revolution, it is possible to prevent such a social crisis by implementing preventative measures to mitigate the effects of the rapid modernization of the professional sphere of human society. This book sets out to determine the most probable changes in the key spheres of the economy, to determine the most prestigious spheres and professions that will be effected, and to offer recommendations on the choices that public and private sector leaders should make to successfully master the disruptions ahead. We hope that this book will become a guide for all interested parties – job applicants, undergraduates, employees, employers, universities, and governments – and will allow for a reduction in the uncertainty of the coming changes and better strategies for adapting to these changes.
Bruno S. Sergi, Elena G. Popkova, Aleksei V. Bogoviz, & Tatiana N. Litvinova
- Prelims
- Part I: Overview of Future Professions in Industry
- Chapter 1: Outlines of the Context for Industry 4.0
- Chapter 2: Future Professions in Industry
- Chapter 3: Map of Competences for Representatives of Future Professions in Industry
- Part II: Future Professions in Agriculture
- Chapter 4: Future Outlines of Agriculture in the Agro-Industrial Complex 4.0
- Chapter 5: Future Professions in Agriculture
- Chapter 6: Map of Competences for Representatives of Future Professions in Agriculture
- Part III: Future Professions in Medicine
- Chapter 7: Future Outlines of Medicine at the Threshold of a Genetic Revolution
- Chapter 8: Future Professions in Medicine
- Chapter 9: Map of Competences for Representatives of Future Professions in Medicine
- Part IV: Future Planned Professions in Education
- Chapter 10: Future Outlines in the Sphere of Education in the Age of the Information Economy
- Chapter 11: Future Professions in Education
- Chapter 12: Map of Competences for Representatives of Future Professions in Education
- Part V: Expected Professions in Body Care and Fitness
- Chapter 13: Future Outlines of the Body Care and Fitness Sector
- Chapter 14: Future Professions in Body Care and Fitness
- Chapter 15: The Map of Competences for Representatives of Future Professions in Body Care and Fitness
- Part VI: The Key Future Professions in R&D
- Chapter 16: The Future Outline of the R&D Sector in the Context of the Formation of the Innovation Economy
- Chapter 17: Future Professions in R&D
- Chapter 18: The Map of Competences for Representatives of Future Professions in R&D
- Part VII: Perspectives on Future Professions in Transport and Communications
- Chapter 19: Future Outline of the Transport and Communications Sector in the Context of a Revolution in Information Communication Technologies
- Chapter 20: Future Professions in Transport and Communications
- Chapter 21: The Map of Competences for Representatives of Future Professions in Transport and Communications
- Part VIII: Recommendations for Successful Modern Workers
- Chapter 22: Common Features and Competences that are Necessary for All Future Professions
- Chapter 23: The Concept of Lifelong Learning as the Basis for Mastering Future Professions
- Chapter 24: An Algorithm for Selecting and Mastering Future Professions
- Chapter 25: The Model of State Management for the Process of Selecting and Mastering Future Professions
- Conclusions
- List of Acronyms
- References
- Index