Impact of Digitalization on SME Performance of the EU27: Panel Data Analysis
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This article explores the relationship between digitalization and business performance in European small- and medium-sized enterprises (SMEs) amidst the COVID-19 pandemic, which has intensified the need for SMEs to adopt digital technologies for enhanced competitiveness. Conducted through a comprehensive literature review, this study investigates the impact of digitalization on SME performance. Employing the statistical software EViews 12, the research utilizes an econometric analysis of panel data to examine the influence of digitalization on SME performance and validate the formulated hypotheses. The dataset comprises 135 observations collected over a five-year period from 27 European countries. A linear regression model is used to test the hypotheses, revealing the relationship between the independent and dependent variables. Model specifications are determined through various tests. This study’s findings demonstrate that the integration of digital technologies and digital intensity significantly drives digitalization in European SMEs, leading to positive impacts on performance. This article emphasizes the importance of digitalization in SMEs for process streamlining, productivity improvement, and enhanced customer experience, ultimately fostering business growth and development. These empirical findings provide valuable evidence for policymakers to prioritize the identification of appropriate measures for stimulating the integration of new digital tools into SME infrastructure and serve as a foundation for future research in this domain.
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SMEs often struggle with financial constraints, lack of skilled staff, lower risk tolerance and limited access to funding.
“SMEs often struggle with financial constraints, lack of skilled staff, lower risk tolerance and limited access to funding.(Kádárová et al., 2023) (Nebati et al., 2023)”
From Digital transformation: a comparative analysis of SME digital maturity models (2025) · cites this paper as Kádárová et al., 2023
The Discussion (section 5; page unavailable) describes SMEs as having limited financial and human resources, supporting the financial-constraints and staffing parts of the claim. The Literature Review (section 2; page unavailable) discusses improving access to financing, but the paper does not establish lower risk tolerance or clearly say that SMEs have limited access to funding. (LLM, conf=0.86)
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References 55 · Cited by 50
Research works printed but not linked: 57
- Priyono, A.; Moin, A.; Oktaviani Putri, V.N.A. Identifying Digital Transformation Paths in the Business Model of SMEs during the COVID-19 Pandemic. J. Open Innov. Technol. Mark. Complex. 2020, 6, 104. [CrossRef] · DOI · Paper page
- Brodny, J.; Tutak, M. The Level of Digitization of Small, Medium and Large Enterprises in the Central and Eastern European Countries and Its Relationship with Economic Parameters. J. Open Innov. Technol. Mark. Complex. 2022, 8, 113. [CrossRef] · DOI
- Prohl-Schwenke, K.; Kleinaltenkamp, M. How business customers judge customer success management. Ind. Mark. Manag. 2021, 96, 197-212. [CrossRef] · DOI
- Guo, H.; Yang, Z.; Huang, R.; Guo, A. The digitalization and public crisis responses of small and medium enterprises: Implications from a COVID-19 survey. Front. Bus. Res. China 2020, 14, 19. [CrossRef] · DOI
- Abou-Foul, M.; Ruiz-Alba, J.L.; Soares, A. The impact of digitalization and servitization on the financial performance of a firm: An empirical analysis. Prod. Plan. Control. 2020, 32, 975-989. [CrossRef] · DOI
- Curraj, E. Business Digitalization of SMEs in Albania: Innovative Approaches and Their Impact on Performance. Dissertation, European University of Tirana. 2018. Available online: https://osf.io/m9vgw/download (accessed on 28 May 2023).
- Wu, A.; Song, D.; Liu, Y. Platform synergy and innovation speed of SMEs: The roles of organizational design and regional environment. J. Bus. Res. 2022, 149, 38-53. [CrossRef] · DOI
- Elia, S.; Giuffrida, M.; Mariani, M.M.; Bresciani, S. Resources and digital export: An RBV perspective on the role of digital technologies and capabilities in cross-border e-commerce. J. Bus. Res. 2021, 132, 158-169. [CrossRef] · DOI
- Lachvajderová, L.; Kadarová, J. Industry 4.0 Implementation and Industry 5.0 Readiness in Industrial Enterprises. Manag. Prod. Eng. Rev. 2022, 13, 102-109. [CrossRef] · DOI
- Culkova, K.; Senova, A.; Teplicka, K.; Tausova, M. Practice of the Managerial Skills and Tools in the Selected Company. J. Manag. Econ. Stud. 2022, 4, 261-274. [CrossRef] · DOI
- Grabowska, S.; Saniuk, S. Development of Business Models in the Fourth Industrial Revolution: Conditions in the Context of Empirical Research on Worldwide Scope Companies Located in Poland. J. Open Innov. Technol. Mark. Complex. 2022, 8, 86. [CrossRef] · DOI
- Gallo, T.; Cagnetti, C.; Silvestri, C.; Ruggieri, A. Industry 4.0 tools in lean production: A systematic literature review. Procedia Comput. Sci. 2021, 180, 394-403. [CrossRef] · DOI
- Kodama, F. Learning Mode and Strategic Concept for the 4th Industrial Revolution. J. Open Innov. Technol. Mark. Complex. 2018, 4, 32. [CrossRef] · DOI
- Teplická, K.; Hurná, S. New Approach of Costs of Quality According their Trend of During Long Period in Industrial Enterprises in SMEs. Manag. Syst. Prod. Eng. 2021, 29, 20-26. [CrossRef] · DOI
- Schulze, A.; Townsend, J.D.; Talay, M.B. Completing the market orientation matrix: The impact of proactive competitor orientation on innovation and firm performance. Ind. Mark. Manag. 2022, 103, 198-214. [CrossRef] · DOI
- Facchini, F.; Digiesi, S.; Pinto, L.F.R. Implementation of I4.0 technologies in production systems: Opportunities and limits in the digital transformation. Procedia Comput. Sci. 2022, 200, 1705-1714. [CrossRef] · DOI
- Aarikka-Stenroos, L.; Chiaroni, D.; Kaipainen, J.; Urbinati, A. Companies' circular business models enabled by supply chain collaborations: An empirical-based framework, synthesis, and research agenda. Ind. Mark. Manag. 2022, 105, 322-339. [CrossRef] · DOI
- Teplická, K.; Hurná, S.; Se ňová, A. Design of Workplace Layout Using the 5S Method in the Area of Quality Management System. Qual. Access Success 2021, 22, 91-95.
- Ulas, D. Digital Transformation Process and SMEs. Procedia Comput. Sci. 2019, 158, 662-671. [CrossRef] · DOI
- Du, X.; Jiang, K. Promoting enterprise productivity: The role of digital transformation. Borsa Istanb. Rev. 2022, 22, 1165-1181. [CrossRef] · DOI
- Ghobakhloo, M.; Ching, N.T. Adoption of digital technologies of smart manufacturing in SMEs. J. Ind. Inf. Integr. 2019, 16, 100107. [CrossRef] · DOI
- Ardito, L.; Raby, S.; Albino, V.; Bertoldi, B. The duality of digital and environmental orientations in the context of SMEs: Implications for innovation performance. J. Bus. Res. 2021, 123, 44-56. [CrossRef] · DOI
- Nuseir, M.T.; Aljumah, A. The role of digital marketing in business performance with the moderating effect of environment factors among SMEs of UAE. Int. J. Innov. Creat. Chang. 2020, 11, 310-324.
- Mushtaq, R.; Gull, A.A.; Usman, M. ICT adoption, innovation, and SMEs' access to finance. Telecommun. Policy 2022, 46, 102275. [CrossRef] · DOI
- Mazzarol, T. SMEs engagement with e-commerce, e-business and e-marketing. Small Enterp. Res. 2015, 22, 79-90. [CrossRef] · DOI
- Wang, N.; Cui, D.; Dong, Y. Study on the impact of business environment on private enterprises' technological innovation from the perspective of transaction cost. Innov. Green Dev. 2023, 2, 100034. [CrossRef] · DOI
- Sui, B.; Yao, L. The impact of digital transformation on corporate financialization: The mediating effect of green technology innovation. Innov. Green Dev. 2023, 2, 100032. [CrossRef] · DOI · Paper page
- Coriat, B.; Weinstein, O. Organizations, firms and institutions in the generation of innovation. Res. Policy 2002, 31, 273-290. [CrossRef] · DOI · Paper page
- Li, Y.; Dai, J.; Cui, L. The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. Int. J. Prod. Econ. 2020, 229, 107777. [CrossRef] · DOI · Paper page
- Rybár, R.; Gabániová, L'.; Rybárová, J.; Beer, M.; Bednárová, L. Designing a Tool for an Innovative, Interdisciplinary Learning Process Based on a Comprehensive Understanding of Sourcing: A Case Study. Processes 2022, 10, 9. [CrossRef] · DOI
- Giacosa, E.; Culasso, F.; Crocco, E. Customer agility in the modern automotive sector: How lead management shapes agile digital companies. Technol. Forecast. Soc. Chang. 2022, 175, 121362. [CrossRef] · DOI
- Yadav, M.; Rahman, Z. Measuring consumer perception of social media marketing activities in e-commerce industry: Scale development & validation. Telemat. Inform. 2017, 34, 1294-1307. [CrossRef] · DOI
- Fernandez-Vidal, J.; Gonzalez, R.; Gasco, J.; Llopis, J. Digitalization and corporate transformation: The case of European oil & gas firms. Technol. Forecast. Soc. Chang. 2022, 174, 121293. [CrossRef] · DOI
- Suhányi, L.; Suhányiová, A.; Korečko, J.; Bednárová, L.; Kádárová, J.; Derkawi, H.; Bačová, K. Relations between the inflow of foreign direct investments and economic indicators in OECD countries. Acta Montan. Slovaca 2021, 26, 810-824. [CrossRef] · DOI
- Pattij, M.; van de Wetering, R.; Kusters, R. Enhanced digital transformation supporting capabilities through enterprise architecture management: A fsQCA perspective. Digit. Bus. 2022, 2, 100036. [CrossRef] · DOI
- Imran, F.; Kantola, J. Review of Industry 4.0 in the Light of Sociotechnical System Theory and Competence-Based View: A Future Research Agenda for the Evolute Approach. In Advances in Human Factors, Business Management and Society. Advances in Intelligent Systems and Computing;
- Kantola, J.I., Nazir, S., Barath, T., Eds.; Springer: Cham, Switzerland, 2019; Volume 783. [CrossRef] · DOI
- Saniuk, S.; Grabowska, S.; Straka, M. Identification of Social and Economic Expectations: Contextual Reasons for the Transforma- tion Process of Industry 4.0 into the Industry 5.0 Concept. Sustainability 2022, 14, 1391. [CrossRef] · DOI
- Paiola, M.; Agostini, L.; Grandinetti, R.; Nosella, A. The process of business model innovation driven by IoT: Exploring the case of incumbent SMEs. Ind. Mark. Manag. 2022, 103, 30-46. [CrossRef] · DOI
- Rasheed, R.; Siddiqui, S.H.; Mahmood, I.; Khan, S.N. Financial Inclusion for SMEs: Role of Digital Micro-financial Services. Rev. Econ. Dev. Stud. 2019, 5, 571-580. [CrossRef] · DOI
- Nemoto, N.; Koreen, M. Digital Innovation Can Improve Financial Access for SMEs: SME Policy Faced With Development of Financial Technology. G20 2019 Japan; pp. 1-11. Available online: https://t20japan.org/wp-content/uploads/2019/03/t20- japan-tf9-1-digital-innovation-improve-financial-access-smes.pdf (accessed on 24 March 2023).
- Delas, V.; Nosova, E.; Yafinovych, O. Financial Security of Enterprises. Procedia Econ. Finance 2015, 27, 248-266. [CrossRef] · DOI
- Kopec, J.; Pekarcíková, M.; Dic, M.; Lachvajderová, L. Analysis of the big data concept and its use for logistics processes. Adv. Logist. Syst. Theory Pr. 2022, 16, 85-91. [CrossRef] · DOI
- Usai, A.; Fiano, F.; Petruzzelli, A.M.; Paoloni, P.; Briamonte, M.F.; Orlando, B. Unveiling the impact of the adoption of digital technologies on firms' innovation performance. J. Bus. Res. 2021, 133, 327-336. [CrossRef] · DOI · Paper page
- Pekarcikova, M.; Trebuna, P.; Kliment, M.; Kral, S. Case Study: 3D Modelling and Printing of a Plastic Respirator in Laboratory Conditions. Appl. Sci. 2022, 12, 96. [CrossRef] · DOI
- Kliment, M.; Pekarcikova, M.; Trebuna, P.; Trebuna, M. Application of TestBed 4.0 Technology within the Implementation of Industry 4.0 in Teaching Methods of Industrial Engineering as Well as Industrial Practice. Sustainability 2021, 13, 8963. [CrossRef] · DOI
- Hsiao, C. Panel data analysis-Advantages and challenges. Test 2007, 16, 1-22. [CrossRef] · DOI
- Rupeika-Apoga, R.; Bule, L.; Petrovska, K. Digital Transformation of Small and Medium Enterprises: Aspects of Public Support. J. Risk Financ. Manag. 2022, 15, 45. [CrossRef] · DOI
- Khalil, A.; Abdelli, M.E.A.; Mogaji, E. Do Digital Technologies Influence the Relationship between the COVID-19 Crisis and SMEs' Resilience in Developing Countries? J. Open Innov. Technol. Mark. Complex. 2022, 8, 100. [CrossRef] · DOI
- Wen, J.; Farooq, U.; Tabash, M.I.; El Refae, G.A.; Ahmed, J.; Subhani, B.H. Government green environmental concerns and corporate real investment decisions: Does financial sector development matter? Energy Policy 2021, 158, 112585. [CrossRef] · DOI
- Kraft, I.; de Leeuw, J. Introducing Multilevel Modeling, 1st ed.; Sage Publications: London, UK, 1998. [CrossRef] · DOI · Paper page
- Yu, L.; Liu, W.; Wang, X.; Ye, Z.; Tan, Q.; Qiu, W.; Nie, X.; Li, M.; Wang, B.; Chen, W. A review of practical statistical methods used in epidemiological studies to estimate the health effects of multi-pollutant mixture. Environ. Pollut. 2022, 306, 119356. [CrossRef] · DOI
- Saleem, H.; Li, Y.; Ali, Z.; Mehreen, A.; Mansoor, M.S. An empirical investigation on how big data analytics influence China SMEs performance: Do product and process innovation matter? Asia Pac. Bus. Rev. 2020, 26, 537-562. [CrossRef] · DOI
- Estensoro, M.; Larrea, M.; Müller, J.M.; Sisti, E. A resource-based view on SMEs regarding the transition to more sophisticated stages of industry 4.0. Eur. Manag. J. 2022, 40, 778-792. [CrossRef] · DOI
- Boikova, T.; Zeverte-Rivza, S.; Rivza, P.; Rivza, B. The Determinants and Effects of Competitiveness: The Role of Digitalization in the European Economies. Sustainability 2021, 13, 11689. [CrossRef] · DOI
- Radicic, D.; Petković, S. Impact of digitalization on technological innovations in small and medium-sized enterprises (SMEs). Technol. Forecast. Soc. Chang. 2023, 191, 122474. [CrossRef] · DOI
- Sarbu, M. The impact of industry 4.0 on innovation performance: Insights from German manufacturing and service firms. Technovation 2022, 113, 102415. [CrossRef · DOI
- Authors
- Kádárová, J., Lachvajderová, L., & Sukopová, D.
- Affiliations
- Technical University of Košice (SK)
- Corresponding author
- Lachvajderová, Laura
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2023-06-22
- Volume
- 15
- Issue
- 13
- Pages
- 9973
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4381742182
- Cited by
- 50
- References
- 55
- Citations by year
- 2026: 18 · 2025: 19 · 2024: 10 · 2023: 3
- FWCI
- 10.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Economy and Transformation
- Social Sciences › Demography › SMEs Development and Digital Marketing
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- digitalization, small and medium-sized enterprises, SME performance, digital intensity, digital technologies, COVID-19 pandemic, competitiveness, European SMEs, productivity, business growth
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