[
Arvanitis, S., & Hollenstein, H. (1998). Innovative Activity and Firm Characteristics - A Cluster Analysis with Firm-level Data of Swiss Manufacturing. 25th Annual Conference of the European Association for Research in Industrial Economics, Copenhagen. Retrieved from https://www.oecd.org/switzerland/2093692.pdf.
]Search in Google Scholar
[
Barbosa, N., & Louri, H. (2005). Corporate Performance: Does Ownership Matter? A Comparison of Foreign- and Domestic-Owned Firms in Greece and Portugal. Review of Industrial Organization, 27(1), 73-102. https://doi.org/10.1007/s11151-005-4920-y10.1007/s11151-005-4920-y
]Search in Google Scholar
[
Blashfield, R. K., & Aldenderfer, M. S. (1988). The methods and problems of cluster analysis. In Handbook of multivariate experimental psychology (pp. 447-473). Springer.10.1007/978-1-4613-0893-5_14
]Search in Google Scholar
[
Bobenič Hintošová, A., & Kubíková, Z. (2016). The effect of the degree of foreign ownership on firms’ performance. Review of Economic Perspectives, 16(1), 29-44. https://doi.org/10.1515/revecp-2016-000310.1515/revecp-2016-0003
]Search in Google Scholar
[
Covin, J. G., & Prescott, J. E. (1990). Strategies, styles, and structures of small product innovative firms in high and low technology industries. The Journal of High Technology Management Research, 1(1), 39-56. https://doi.org/10.1016/1047-8310(90)90012-s10.1016/1047-8310(90)90012-S
]Search in Google Scholar
[
Cozza, C., Malerba, F., Mancusi, M. L., Perani, G., & Vezzulli, A. (2012). Innovation, profitability and growth in medium and high-tech manufacturing industries: Evidence from Italy. Applied Economics, 44(15), 1963-1976. https://doi.org/10.1080/00036846.2011.55659410.1080/00036846.2011.556594
]Search in Google Scholar
[
EURAXIND (2017). Labor market briefing series. The manufacturing sector in Europe. https://cdn4.euraxess.org/sites/default/files/labor_market_information-_manufacturing_sector.pdf
]Search in Google Scholar
[
European Commission (2010). Impact of the economic crisis on key sectors of the EU – the case of the manufacturing and construction industries.
]Search in Google Scholar
[
Eurostat (2020). Structural business statistics overview. https://ec.europa.eu/eurostat/statistics-explained/index.php/Structural_business_statistics_overview
]Search in Google Scholar
[
Gkotsis, P., Pugliese, E., & Vezzani, A. (2018). A Technology-Based Classification of Firms: Can We Learn Something Looking Beyond Industry Classifications?. Entropy, 20, 887. https://doi.org/10.3390/e2011088710.3390/e20110887
]Search in Google Scholar
[
Gülagiz, F. K., & Sahin, S. (2017). Comparison of hierarchical and non-hierarchical clustering algorithms. International Journal of Computer Engineering and Information Technology, 9(1), 6-14.
]Search in Google Scholar
[
Hamilton, O., Shapiro, D., & Vining, A. (2002). The growth patterns of Canadian high-tech firms. International Journal of Technology Management, 24(4), 458-472. https://doi.org/10.1504/ijtm.2002.00306510.1504/IJTM.2002.003065
]Search in Google Scholar
[
Han, J., Pei, J., & Kamber, M. (2012). Cluster Analysis: Basic Concepts and Methods. In Data Mining: Concepts and Techniques (3rd Edition, pp. 443-496). Elsevier. http://myweb.sabanciuniv.edu/rdehkharghani/files/2016/02/The-Morgan-Kaufmann-Series-in-Data-Management-Systems-Jiawei-Han-Micheline-Kamber-Jian-Pei-Data-Mining.-Concepts-and-Techniques-3rd-Edition-Morgan-Kaufmann-2011.pdf
]Search in Google Scholar
[
Hirsch-Kreinsen, H. (2008). “Low -Technology”: A Forgotten Sector in Innovation Policy. Journal of Technology Management & Innovation, 3(3), 11-20. https://www.jotmi.org/index.php/GT/article/view/art8310.4067/S0718-27242008000100002
]Search in Google Scholar
[
Horobet, A. (2018). Foreign versus locally-owned companies: an analysis of post-crisis performance in Eastern Europe. In Economic and Social Development (Book of Proceedings), 27th International Scientific Conference on Economic and Social Development (pp. 486-496). https://www.esd-conference.com/past-conferences
]Search in Google Scholar
[
Horobet, A., Popovici, O., & Belascu, L. (2020). Drivers of competitiveness in European high-tech industries. In Economic Development and Financial Markets (pp. 53-79). Springer.10.1007/978-3-030-32426-1_4
]Search in Google Scholar
[
Horobet, A., Vrinceanu, G., Popescu, C., & Belascu, L. (2020). Assessing the Driving Factors of Business Profitability in European High-Tech versus Low-Tech Industries. In C. Bratianu et al. (eds.), Preparing for Tomorrow, Today (Proceedings), STRATEGICA International Academic Conference (8th edition, pp. 758-772). https://www.researchgate.net/publication/345730256_Strategica_2020_Preparing_for_Tomorrow_Today
]Search in Google Scholar
[
Hungarian Central Statistical Office (2018). Main indicators of the Visegrad Goup Group countries. https://www.ksh.hu/docs/eng/xftp/idoszaki/ev4_fobbadatok.pdf
]Search in Google Scholar
[
Karaca, Z. (2018). The cluster analysis in the manufacturing industry with k-means method: An application for Turkey. Eurasian Journal of Economics and Finance, 6(3), 1-12. https://doi.org/10.15604/ejef.2018.06.03.00110.15604/ejef.2018.06.03.001
]Search in Google Scholar
[
Kaufman, L., & Rousseeuw, P. J. (2009). Finding groups in data: an introduction to cluster analysis (Vol. 344). John Wiley & Sons.
]Search in Google Scholar
[
Kok Report (Report from the High Level Group chaired by Wim Kok) (2004). Facing the challenge. The Lisbon strategy for growth and employment. http://europa.eu.int/comm/lisbon_strategy/index_en.html.
]Search in Google Scholar
[
Marchinski, R., & Martinez Turegano, D. (2019). Reassessing the Decline of EU Manufacturing: A Global Value Chain Analysis. Publications Office of the European Union. https://doi.org/10.2760/30611. https://publications.jrc.ec.europa.eu/repository/bitstream/JRC118905/jrc118905_marschinski_martinez_2019_reassessing_eu_manufacturing.pdf.
]Search in Google Scholar
[
Raymond, L., & St-Pierre, J. (2010). R&D as a determinant of innovation in manufacturing SMEs: An attempt at empirical clarification. Technovation, 30(1), 48-56. https://doi.org/10.1016/j.technovation.2009.05.00510.1016/j.technovation.2009.05.005
]Search in Google Scholar
[
Reboud, S., Mazzarol, T., & Soutar, G. (2014). Low-tech vs high-tech entrepreneurship: A study in France and Australia. Journal of Innovation Economics, 14(2), 121. https://doi.org/10.3917/jie.014.012110.3917/jie.014.0121
]Search in Google Scholar
[
Reichert, F. M., & Zawislak, P. A. (2014). Technological Capability and Firm Performance. Journal of Technology Management & Innovation, 9(4), 20-35. https://doi.org/10.4067/s0718-2724201400040000210.4067/S0718-27242014000400002
]Search in Google Scholar
[
Revenga, A., & Calindo, J. (2020). Responding to global systemic shocks: applying lessons from previous crises to Covid-19. https://dobetter.esade.edu/en/covid-19-global-policy
]Search in Google Scholar
[
UNIDO (United Nations Industrial Development Organization) (2020). Coronavirus: the economic impact – 21 October 2020. Recovery or protracted economic downturn? The role of policies based on evidence. https://www.unido.org/stories/coronavirus-economic-impact-21-october-2020
]Search in Google Scholar
[
Veugelers, R. (2017). Remaking Europe: the new manufacturing as an engine for growth. Blueprints.
]Search in Google Scholar
[
Wellener, P., Lindsey, C., Ashton, H., & Mittal, A. (2019). Did someone say recession? How manufacturers can create resilience during downturns. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/energy-resources/us-economic-shifts-industrials.pdf
]Search in Google Scholar
