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The Impact of Digitalization on EU Competitiveness and Economic Growth: An Econometric Perspective

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08. Juli 2025

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COVER HERUNTERLADEN

Babic, A. (2021) ‘Digital Skills as a Perspective of Development of the Economy and Important Digital Transformation Factor’, EKONOMSKI PREGLED, 72(1), pp. 59–87. Available at: https://doi.org/10.32910/ep.72.1.3. Search in Google Scholar

Brynjolfsson, E., McAfee, A. (2014) The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, NY, US: W W Norton & Co (The second machine age: Work, progress, and prosperity in a time of brilliant technologies), p. 306. Search in Google Scholar

Chohan, S.R., Hu, G. (2022) ‘Strengthening digital inclusion through e-government: cohesive ICT training programs to intensify digital competency’, Information Technology for Development, 28(1), pp. 16–38. Available at: https://doi.org/10.1080/02681102.2020.1841713. Search in Google Scholar

Czarnitzki, D., Fernández, G.P., Rammer, C. (2023) ‘Artificial intelligence and firm-level productivity’, Journal of Economic Behavior & Organization, 211, pp. 188–205. Available at: https://doi.org/10.1016/j.jebo.2023.05.008. Search in Google Scholar

Etemad, H. (2024) ‘Transformative potentials of generative artificial intelligence: Should international entrepreneurial enterprises adopt GEN.AI?’, Journal of International Entrepreneurship, 22(2), pp. 141–163. Available at: https://doi.org/10.1007/s10843-024-00363-8. Search in Google Scholar

Etzkowitz, H., Leydesdorff, L. (1995) ‘The Triple Helix -- University-Industry-Government Relations: A Laboratory for Knowledge Based Economic Development’. Rochester, NY: Social Science Research Network. Available at: https://papers.ssrn.com/abstract=2480085 (Accessed: 7 March 2025). Search in Google Scholar

von Garrel, J.,Jahn, C. (2023) ‘Design Framework for the Implementation of AI-based (Service) Business Models for Small and Medium-sized Manufacturing Enterprises’, Journal of the Knowledge Economy, 14(3), pp. 3551–3569. Available at: https://doi.org/10.1007/s13132-022-01003-z. Search in Google Scholar

Gogonea, R. M., Moraru, L. C., Bodislav, D. A., Păunescu, L. M., & Vlăsceanu, C. F. (2024). Similarities and disparities of e-commerce in the European union in the post-pandemic period. Journal of Theoretical and Applied Electronic Commerce Research, 19(1), 340-361. https://doi.org/10.3390/jtaer19010018 Search in Google Scholar

Gladysz, B., Matteri, D., Ejsmont, K., Corti, D., Bettoni, A., & Haber Guerra, R. (2023). Platform-based support for AI uptake by SMEs: Guidelines to design service bundles. Central European Management Journal, 31(4), 463–478. https://doi.org/10.1108/CEMJ-08-2022-0096 Search in Google Scholar

Grashof, N., Kopka, A. (2023) ‘Artificial intelligence and radical innovation: an opportunity for all companies?’, Small Business Economics, 61(2), pp. 771–797.Available at: https://doi.org/10.1007/s11187-022-00698-3 Search in Google Scholar

Kulkov, I. (2023) ‘Next-generation business models for artificial intelligence start-ups in the healthcare industry’, International Journal of Entrepreneurial Behavior & Research, 29(4), pp. 860–885. Available at: https://doi.org/10.1108/IJEBR-04-2021-0304. Search in Google Scholar

Liu, J., Chang, H., Forrest, J. Y.-L., & Yang, B. (2020). Influence of artificial intelligence on technological innovation: Evidence from the panel data of china’s manufacturing sectors. Technological Forecasting and Social Change, 158, 120142. https://doi.org/10.1016/j.techfore.2020.120142 Search in Google Scholar

McKinsey (2023), AI could increase corporate profits by $4.4 trillion a year, according to new research. https://www.mckinsey.com/mgi/overview/in-the-news/ai-could-increase-corporate-profits-by-4-trillion-a-year-according-to-new-research (Accesed: 7 March 2025) Search in Google Scholar

Méndez-Suárez, M., Virginia, S.-M., Munoz de Prat, J. (2023) ‘Do current regulations prevent unethical AI practices?’, Journal of Competitiveness, 15, pp. 207–222. Available at: https://doi.org/10.7441/joc.2023.03.11. Search in Google Scholar

Pripoaie, R., Schin, G. C., & Matic, A. E. (2024). Post-Pandemic Exploratory Analysis of the Romanian Public Administration Digitalization Level in Comparison to the Most Digitally Developed States of the European Union. Sustainability, 16(11), 4652. https://doi.org/10.3390/su16114652 Search in Google Scholar

Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134, 574–587. https://doi.org/10.1016/j.jbusres.2021.05.009 Search in Google Scholar

Stanford HAI. (2024). The 2024 AI Index Report. https://hai.stanford.edu/ai-index/2024-ai-index-report (Accessed: 7 March 2025). Search in Google Scholar

Veale, M. and Zuiderveen Borgesius, F. (2021) ‘Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach’, Computer Law Review International, 22(4), pp. 97–112. Available at: https://doi.org/10.9785/cri-2021-220402. Search in Google Scholar

Vial, G. (2019) ‘Understanding digital transformation: A review and a research agenda’, The Journal of Strategic Information Systems, 28(2), pp. 118–144. Available at: https://doi.org/10.1016/j.jsis.2019.01.003. Search in Google Scholar

Wamba-Taguimdje, S.-L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020). Influence of artificial intelligence (AI) on firm performance: The business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893–1924. https://doi.org/10.1108/BPMJ-10-2019-0411 Search in Google Scholar