Central European Business Review 2019, 8(4):40-54 | DOI: 10.18267/j.cebr.219

Artificial Intelligence-Based Development Strategy in Dependent Market Economies – Any Room amidst Big Power Rivalry?

Andrea Szalavetz1
1 Centre for Economic and Regional Studies – Institute of World Economics, Hungary, aszalave@gmail.com

This paper investigates whether the activities of start-ups specialising in artificial intelligence (AI)-powered solutions could contribute to upgrading in dependent market economies. Mapping the ecosystem of Hungarian AI-solution providers, collecting, and analysing data of their solutions, activities, and performance, we identify the main mechanisms of AI-driven upgrading. We argue that AI-solution providers induce productivity and resource efficiency improvement at technology adopters by enabling process upgrading. By selling their services to the local subsidiaries of global companies, they intensify the local backward linkages of these companies. Increased local embeddedness of subsidiaries is an important manifestation of economic upgrading. Additionally, AI-solution providers diversify the drivers of growth. In dependent market economies, where export-oriented manufacturing activities controlled by efficiency-seeking foreign investors used to be the main (unique) growth engine, the activities of domestic-owned AI solution providers represent a new driver of growth: technology-oriented entrepreneurship. We found, however, that the economic impact of Hungarian AI-oriented ventures is limited, no matter how innovative their solutions are. Managerial implications include the indispensability of devising an adequate business development strategy and a value capture strategy. Without adequate entrepreneurial skills, and without being visible on the global stage of ‘AI-start-ups to watch’, the development prospects of even the most innovative ventures are limited. A key policy implication for supporting the scaling up of AI start-ups by promoting the adoption of AI-powered solutions and stimulating venture capital financing promises good return on public investments.

Keywords: artificial intelligence, start-ups, upgrading, Hungary
JEL classification: M13, O33

Received: June 13, 2019; Revised: August 1, 2019; Accepted: September 2, 2019; Prepublished online: September 2, 2019; Published: December 17, 2019  Show citation

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Szalavetz, A. (2019). Artificial Intelligence-Based Development Strategy in Dependent Market Economies – Any Room amidst Big Power Rivalry? Central European Business Review, 8(4), 40-54. doi: 10.18267/j.cebr.219
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    References

    1. Bajgar, M., Berlingieri, G., Calligaris, S., Criscuolo, C., & Timmis, J. (2019). Industry Concentration in Europe and North America. OECD Productivity Working Papers, No. 18., Paris: OECD Publishing.
    2. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. Go to original source...
    3. Basta, W. (2016). Artificial Intelligence Teams Being Acquired For $2.5m/employee; Employee Value Often Far Exceeds Business Value. https://www.linkedin.com/pulse/artificial-intelligence-teams-being-acquired-employee-victor-basta/
    4. Branstetter, L. G., Glennon, B., & Jensen, J. B. (2019). The IT Revolution and the Globalization of R&D. Innovation Policy and the Economy, 19(1), 1-37. Go to original source...
    5. Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
    6. Brynjolfsson, E., Mitchell, T., & Rock, D. (2018). What Can Machines Learn, and What Does It Mean for Occupations and the Economy? In: AEA Papers and Proceedings, Vol. 108, pp. 43-47. Go to original source...
    7. Bughin, J. (2019). How to develop enough European AI startups. Vox, https://voxeu.org/article/how-develop-enough-european-ai-startups.
    8. Burger, A., Jindra, B., Marek, P., & Rojec, M. (2018). Functional upgrading and value capture of multinational subsidiaries. Journal of International Management, 24(2), 108-122. Go to original source...
    9. Cave, S., & ÓhÉigeartaigh, S. (2018). An AI race for strategic advantage: rhetoric and risks. In: AAAI/ACM Conference on Artificial Intelligence, Ethics and Society. http://www.aies-conference.com/2018/contents/papers/main/AIES_2018_paper_163.pdf Go to original source...
    10. Comin, D., & Mestieri, M. (2018). If technology has arrived everywhere, why has income diverged? American Economic Journal: Macroeconomics, 10(3), 137-78. Go to original source...
    11. COMM (2018). Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions on Artificial Intelligence for Europe. https://ec.europa.eu/digital-single-market/en/news/communication-artificial-intelligence-europe
    12. Chui, M., Manyika, J., Miremadi, M., Henke, N, Chung, R., Nel, P., & Malhotra, S. (2018). Notes from the AI frontier: Applications and value of deep learning. McKinsey Global Institute Discussion Paper, April, https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning?reload
    13. DESI (2018). Digital Economy and Society Index Report 2018, Integration of Digital Technologies. https://ec.europa.eu/digital-single-market/en/desi
    14. European Innovation Scoreboard (2018). https://ec.europa.eu/docsroom/documents/30684
    15. Farkas, B. (2011). The Central and Eastern European model of capitalism. Post-Communist Economies, 23(1), 15-34. Go to original source...
    16. Gereffi, G., & Fernandez-Stark, K. (2011). Global value chain analysis: a primer. Center on Globalization, Governance & Competitiveness (CGGC), Duke University, NC, USA. Available at: http://www.cggc.duke.edu/pdfs/2011-05-31_GVC_analysis_a_primer.pdf
    17. Goos, M., Manning, A., & Salomons, A. (2014). Explaining job polarization: Routine-biased technological change and offshoring. American Economic Review, 104(8), 2509-26. Go to original source...
    18. Hallward-Driemeier, M., & Nayyar, G. (2017). Trouble in the Making? The Future of Manufacturing-led Development. Washington: World Bank Publications. Go to original source...
    19. Horowitz, M. C., Allen, G. C., Kania, E. B., & Scharre, P. (2018). Strategic Competition in an Era of Artificial Intelligence. Washington: CNAS Center for a New American Security.
    20. Humphrey, J., & Schmitz, H. (2002). How does insertion in global value chains affect upgrading in industrial clusters? Regional Studies, 36(9), 1017-1027. Go to original source...
    21. Korbet, R. (2019). The state of the Israeli ecosystem. 2018. Start-Up Nation Central, Finder Insight Series.
    22. Kummritz, V., Taglioni, D., & Winkler, D. (2017). Economic upgrading through global value chain participation: which policies increase the value added gains? World Bank Policy Research Working Paper, No. 8007, Washington: the World Bank. Go to original source...
    23. Lafuente, E., Acs, Z. J., Sanders, M., & Szerb, L. (2019). The global technology frontier: productivity growth and the relevance of Kirznerian and Schumpeterian entrepreneurship. Small Business Economics, in press, https://doi.org/10.1007/s11187-019-00140-1. Go to original source...
    24. Lee, K. F. (2018). AI superpowers: China, Silicon Valley, and the new world order. New York: Houghton Mifflin Harcourt.
    25. Manyika, J., Ramaswamy, S., Bughin, J., Woetzel, J., Birshan, M., & Nagpal, Z. (2018). Superstars': The dynamics of firms, sectors, and cities leading the global economy. McKinsey Global Institute Discussion Paper, Available at: https://smartnet.niua.org/sites/default/files/resources/mgi_superstars_discussion_paper_oct_2018-final.pdf
    26. Nambisan, S. (2017). Digital entrepreneurship: Toward a digital technology perspective of entrepreneurship. Entrepreneurship Theory and Practice, 41(6), 1029-1055. Go to original source...
    27. OECD. Publishing. (2013). Interconnected economies: benefiting from global value chains. Paris: OECD Publishing.
    28. Perez, C. (2002). Technological revolutions and financial capital. Cheltenham: Edward Elgar. Go to original source...
    29. Roland Berger, & France Digitale (2018). Joining the dots - A map of Europe's AI ecosystem. Available at: http://www.francedigitale.org/wp-content/uploads/2018/10/FranceDigitale_RolandBerger_EUAI.pdf
    30. Taddy, M. (2019). The technological elements of artificial intelligence. In: Agrawal, A., Gans, J., & Goldfarb, A. (Eds.). The Economics of Artificial Intelligence: An Agenda. Chicago: University of Chicago Press, pp. 61-87. Go to original source...
    31. Van Reenen, J. (2018). Increasing differences between firms: market power and the macro-economy. CEP Discussion Paper, No. 1576.

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