The evolutionary and disruptive potential of Industrie 4.0

Keywords: Industrie 4.0, fourth industrial revolution, digitalization, Internet of Things, economic geography, Europe

Abstract

Despite all the hype, digitalization is not a new trend. The third industrial revolution started as early as the beginning of the 1970s and has continued to this day. It is shaped using electronics and information technologies (IT) in the economy and progressive standardization and automation of business processes. While exponential growth is typical for the IT sector, this is rarely the case for the classic industries. For a long time, the change was barely perceivable, which led many players to denounce these developments as uninteresting, losing interest at an early stage. But then, as the process picks up breakneck speeds, it often becomes impossible to jump on board or keep up. When automation driven by electronics and IT established itself in production, it led to dramatic changes in value chains and employment structures. Through standardization and automation, business processes became more efficient, quicker, and transparent. When the dot-com speculative bubble burst in 2000, vending machines that ordered supplies independently were already in operation. In the search for the business model of the Information Age, electronic marketplaces became popular pioneers for dynamic business networks and real-time business. Many of today’s well-known technology firms – such as Google, Netflix, or the predecessors of Facebook – were already active on the market in a similar form. In recent years a second wave of digital transformation is experienced and with it, a fourth industrial revolution. The necessary information and communication technologies have now become so cost-effective that they can be used in widespread areas. As a result, many of the dot-com promises have been realized today. The aim of this paper is to intensify the Industrie 4.0 debate in economic geography by showing the evolutionary and disruptive potential of Industrie 4.0.

References

Acatech - National Academy of Science and Engineering 2013. Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Securing the future of German manufacturing industry. Final report of the Industrie 4.0 Working Group. Available at https://www.acatech.de/wp-content/uploads/2018/03/industrie_4_0_umsetzungsempfehlungen.pdf

Acatech - National Academy of Science and Engineering / Fachforum Autonome Systeme 2017. Autonomous Systems - Opportunities and risks for business, science and society. High-Tech-Forum of the German Government. Munich, Gotteswinter & Aumaier, 26-44.

Bailey, D. and De Propris, L. 2019. Industry 4.0 - Regional disparities and transformative industrial policy. Regional Studies Policy Impact Books 1. (2): 67-78. https://doi.org/10.1080/2578711X.2019.1621102

Balland, P.A., Boschma, R., Crespo, J. and Rigby, D.L. 2019. Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification. Regional Studies 53. (9): 1252-1268. https://doi.org/10.1080/00343404.2018.1437900

Barth, S. and De Jong, M.D.T. 2017. The privacy paradox - Investigating discrepancies between expressed privacy concerns and actual online behaviour - A systematic literature review. Telematics and Informatics 34. (7): 1038-1058. https://doi.org/10.1016/j.tele.2017.04.013

Barzotto, M. and De Propris, L. 2019. Skill up: smart work, occupational mix and regional productivity. Journal of Economic Geography 19. (5): 1049-1075. https://doi.org/10.1093/jeg/lby050

Boschma, R. 2017. Relatedness as driver behind regional diversification: a research agenda. Regional Studies 51. (3): 351-364. https://doi.org/10.1080/00343404.2016.1254767

Brynjolfsson, E. and Kahin, B. 2002. Understanding the Digital Economy: Data, Tools and Research. Cambridge, MA, MIT Press.

Ciffolilli, A. and Muscio, A. 2018. Industry 4.0: national and regional comparative advantages in key enabling technologies. European Planning Studies 26. (12): 2323-2343. https://doi.org/10.1080/09654313.2018.1529145

Cooper, R.G. and Friis Sommer, A. 2020. New-product portfolio management with Agile challenges and solutions for manufacturers using Agile development methods. Research Technology Management 63. (1): 29-38. https://doi.org/10.1080/08956308.2020.1686291

Cusumano, M., Gawer, A. and Yoffie, D.B. 2019. The Business of Platforms: Strategy in the Age of Digital Competition, Innovation, and Power. New York City, Harper Collins.

Daugherty, P. and Wilson, H.J. 2018. Human + Machine. Reimagining Work in the Age of AI. Cambridge, Ingram Publisher Services.

European Union 2019. General Data Protection Regulation (EU) 2016/679 (GDPR). Available at https://ec.europa.eu/info/law/law-topic/dataprotection_en (accessed 12.03.2020)

Evans, P. and Gawer, A. 2016. The Rise of the Platform Enterprise. New York, The Center for Global Enterprise.

Feldman, M.P., Guy, F. and Iammarino, S. 2019. Regional Income Disparities, Monopoly & Finance. Chapel Hill, NC, Kenan Institute of Private Enterprise Research, Paper No. 19-32. https://doi.org/10.2139/ssrn.3463735

Forschungsunion and acatech 2013. Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Securing the future of German manufacturing industry. Final report of the Industrie 4.0 Working Group. Frankfurt, Germany, Forschungunion.

Frey, C. and Osborne, M. 2013. The Future of Employment. How susceptible are jobs to computerisation? Oxford, Oxford University Press.

Fuchs, M. and Winter, J. 2008. Competencies in subsidiaries of multinational companies. The case of the automotive supply industry in Poland. The German Journal of Economic Geography 52. (1): 209-220. https://doi.org/10.1515/zfw.2008.0016

Fuchs, M. 2020. Does the digitalization of manufacturing boost a 'smart' era of capital accumulation? The German Journal of Economic Geography 64. (3): 1-11. https://doi.org/10.1515/zfw-2019-0012

Glaeser, J. and Laudel, G. 2004. Experteninterviews und qualitative Inhaltsanalyse. Wiesbaden, VS Publishers.

Götz, M. and Jankowska, B. 2017. Clusters and Industry 4.0 - do they fit together? European Planning Studies 25. (9): 1633-1653. https://doi.org/10.1080/09654313.2017.1327037

Haider, M. 2020. Electrifying times: restructuring and decision-making in an automobile concern in the 21st century - The case of BMW Group. Hungarian Geographical Bulletin 69. (2): 119-135.

Kagermann, H., Österle, H. and Jordan, J. 2010. IT-Driven Business Models. New Jersey, Hoboken.

Kagermann, H. and Winter, J. 2017. Industrie 4.0 und plattformbasierte Geschäftsmodellinnovationen (Industrie 4.0 and platform-based business model innovation). In Praxishandbuch Industrie 4.0. Ed.: Lucks, K., Stuttgart, Schaeffer Poeschel, 21-32. https://doi.org/10.34156/9783791038520-21

Kagermann, H. and Winter, J. 2018. The second wave of digitalization. In Germany and the World 2030: What will change. How we must act. Eds.: Mayr, S., Messner, D. and Meyer, L., Berlin, Econ, 216-227.

McAfee, A. and Brynjolfsson, E. 2017. Machine, Platform, Crowd. New York, Norton & Company.

Metawa, N., Kabir Hassan, M. and Elhoseny, M. 2017. Genetic algorithm-based-model for optimizing bank lending decisions. Expert Systems with Applications 80. 75-82. https://doi.org/10.1016/j.eswa.2017.03.021

Molnár, E., Kozma, G., Mészáros, M. and Kiss, É. 2020. Upgrading and the geography of the Hungarian automotive industry in the context of the fourth industrial revolution. Hungarian Geographical Bulletin 69. (2): 137-155. https://doi.org/10.15201/hungeobull.69.2.4

Moore, J.F.1993. Predators and prey: a new ecology of competition. Harvard Business Review 71. (3): 75-86.

Muro, M., Maxim, R. and Whiton, J. 2019. Automation and Artificial Intelligence: How machines are affecting people and places. Available at https://www.brookings.edu/research/automation-and-artificial-intelligence-how-machines-affect-people-and-places/(accessed 12.03.2020)

Muscio, A. and Ciffolilli, A. 2020. What drives the capacity to integrate Industry 4.0 technologies? Evidence from European R&D projects. Economics of Innovation and New Technology 29. (2): 169-183. https://doi.org/10.1080/10438599.2019.1597413

Nocke, V., Peitz, M. and Stahl, K. 2007. Platform ownership. Journal of the European Economic Association 5. (6): 1130-1160. https://doi.org/10.1162/JEEA.2007.5.6.1130

Park, K.T., Lee, J. and Kim, H. 2020. Digital twinbased cyber physical production system architectural framework for personalized production. International Journal of Advanced Manufacturing Technology 106. 1787-1810. https://doi.org/10.1007/s00170-019-04653-7

Rysman, M. 2009. The economics of two-sided markets. Journal of Economic Perspectives 23. (3): 125-143. https://doi.org/10.1257/jep.23.3.125

Schuh, G., Anderl, R., Gausemeier, J., ten Hompel, M. and Wahlster, W. (eds.) 2017. Industrie 4.0 Maturity Index. Managing the Digital Transformation of Companies. Acatech Study. Munich, Utz Publishers.

Silvestri, L. and Gulati, R. 2015. From periphery to core: A process model for embracing sustainability. In Leading Sustainable Change: An Organizational Perspective. Eds.: Henderson, R., Galati, R. and Tushman, M., Oxford, Oxford University Press, 81-111. https://doi.org/10.1093/acprof:oso/9780198704072.003.0004

Szalavetz, A. 2017. Industry 4.0 in factory economies. In Condemned to be Left Behind? Can Central and Eastern Europe Emerge from its Low-Wage Model? Eds.: Galgóczi, B. and Drahokoupil, J., Brussels, European Trade Union Institute (ETUI), 133-152.

Tiwana, A. 2013. Platform Ecosystems: Aligning Architecture, Governance, and Strategy. Waltham/Massachusetts, Morgan Kaufmann.

Tolio, T., Copani, G. and Terkaj, W. 2019. Factories of the Future. The Italian Flagship Initiative. Heidelberg, Springer. https://doi.org/10.1007/978-3-319-94358-9

Wahlster, W. 2014. Semantic technologies for mass customization. In Towards the Internet of Services. Eds.: https://doi.org/10.1007/978-3-319-06755-1_1

Wahlster, W., Grallert, H.-J., Wess, S., Friedrich, H. and Widenka, Th., Heidelberg, Springer, 3-14.

Winter, J. 2008. Spatial division of competencies and local upgrading in the automotive industry: Conceptual considerations and empirical findings from Poland. In Globalising Worlds and New Economic Configurations. Eds.: Taylor, M. and Tamasy, C., Aldershot, U.K., Ashgate, 113-124. https://doi.org/10.4324/9781351157322-10

Winter, J. 2010. Upgrading of TNC subsidiaries: The case of the Polish automotive industry. International Journal of Automotive Technology 10. (2-3): 145-160. https://doi.org/10.1504/IJATM.2010.032621

Winter, J. 2018. Europe and the platform economy / Europa und die Plattformoekonomie. In Service Business 4.0 / Dienstleistungen 4.0. Eds.: Bruhn, M. and Hadwich, K., Wiesbaden, Germany, Springer Gabler, 71-88. https://doi.org/10.1007/978-3-658-17552-8_3

Xu, L.D. and Duan, L. 2019. Big data for cyber physical systems in industry 4.0: a survey. Enterprise Information Systems 13. (2): 148-169. https://doi.org/10.1080/17517575.2018.1442934

Published
2020-06-30
How to Cite
WinterJ. (2020). The evolutionary and disruptive potential of Industrie 4.0. Hungarian Geographical Bulletin, 69(2), 83-97. https://doi.org/10.15201/hungeobull.69.2.1
Section
The fourth industrial revolution in economic geographical approach