Do All Roads Lead to Innovation? Unpacking the Effects of Digital Technologies on Innovation Types

Öz

The digital transformation of economies has taken on a new dimension with the transition from traditional technologies to advanced technologies, such as artificial intelligence and big data analytics. This study examines the relationship between firms’ adoption of advanced digital technologies—namely, AI, cloud computing, big data analytics, robotics, smart devices, and blockchain—and innovation, which are classified into six subcategories: product, process, organisational, marketing, ecological, and other innovations. The main contribution of this study is its comprehensive evaluation of the transition to advanced digital technologies, carefully considering the different innovation subcategories. In this study, the dataset from the Flash Eurobarometer 486 survey is analysed using a multivariate probit model, which allows simultaneous estimation while accounting for potential correlations among different types of innovation. According to the study findings, while advanced digital technologies generally support innovation, their effects vary significantly across innovation types. Cloud computing, big data analytics, and smart devices are emerging technologies with strong, widespread effects across all innovation categories. Artificial intelligence particularly supports product, process, and organisational innovations, whereas robotics technologies are more strongly associated with production-related and ecological innovations. In contrast, the impact of blockchain technology is more limited, primarily in organisational and marketing innovations. Overall, the results show that advanced digital technologies do not affect innovation processes uniformly; rather, each technology plays a distinct role depending on the nature of innovation. These findings suggest that firms should align their digital technology investments with their strategic innovation objectives and underscore the importance of policymakers designing digital transformation policies that are sensitive to different types of innovation.

Anahtar Kelimeler

• Ecological innovation
• Product innovation
• Big data analytics
• Artificial intelligence
• Robotics

Kaynakça

1. Adams D., & Hess M. (2010). Social innovation and why it has policy significance. The Economic and Labour Relations Review, 21(2), 139-155. https://doi.org/10.1177/103530461002100209 google scholar
2. Antonelli, C. (2017). Digital knowledge generation and the appropriability trade-off. Telecommunications Policy, 41(10), 991-1002. https://doi.org/10.1016/j.telpol.2016.12.002 google scholar
3. Arvanitis, S., Kyriakou, N., & Loukis, E. N. (2017). Why Do Firms Adopt Cloud Computing? A Comparative Analysis Based on South and North Europe Firm Data. Telematics and Informatics, 34(7), 1322-1332. doi: 10.1016/j.tele.2016.05.013 google scholar
4. Ballestar, M. T., Díaz-Chao, Á., Sainz, J., & Torrent-Sellens, J. (2020). Knowledge, robots, and productivity in SMEs: Explaining the second digital wave. Journal of Business Research, 108, 119-131. https://doi.org/10.1016/j.jbusres.2019.11.017 google scholar
5. Büyüközkan, G., & Göçer, F. (2018). Digital Supply Chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157-177. https://doi.org/10.1016/j.compind.2018.02.010 google scholar
6. Cappellari, L., & Jenkins, S. P. (2003). Multivariate probit regression using simulated maximum likelihood. STATA Journal, 3(3), 278-294. https://doi.org/10.1177/1536867X0300300305 google scholar
7. Ciarli, T., Kenney, M., Massini, S., & Piscitello, L. (2021). Digital technologies, innovation, and skills: Emerging trajectories and challenges. Research Policy, 50(7), 104289. doi: 10.1016/j.respol.2021.104289 google scholar
8. DeStefano, T., Kneller, R., & Timmis, J. (2020). Cloud computing and firm growth. CESifo Working Papers, No. 8306. https://dx.doi.org/10.2139/ssrn.3618829google scholar

9. DiMaggio, P. (1998). The New İnstitutionalisms: Avenues of Collaboration. Journal of Institutional and Theoretical Economics/Zeitschrift für die gesamte Staatswissenschaft, 154(4), 696-705. [suspicious link removed] google scholar
10. European Commission, Brussels (2020). Flash Eurobarometer 486 (SMEs, start-ups, scale-ups, and entrepreneurship). GESIS Data Archive, Cologne. ZA7637 Data file Version 2.0.0, https://doi.org/10.4232/1.13639. google scholar
11. Ferraris, A., Mazzoleni, A., Devalle, A., & Couturier, J. (2019). Big Data Analytics Capabilities and Knowledge Management: Impact on Firm Performance. Management Decision, 57(8), 1923-1936. https://doi.org/10.1108/MD-07-2018-0825 google scholar
12. Ferreira, J. J., Fernandes, C. I., & Ferreira, F. A. (2019). To Be or Not to Be Digital, That Is The Question: Firm Innovation and Performance. Journal of Business Research, 101, 583-590. doi: 10.1016/j.jbusres.2018.11.013google scholar
13. Ghasemaghaei, M., & Calic, G. (2020). Assessing the impact of big data on firm innovation performance: Big data is not always better data. Journal of Business Research, 108, 147-162. https://doi.org/10.1016/j.jbusres.2019.09.062 google scholar
14. Greene, W. H. (2003). Econometric analysis (Fifth Edition). Pearson Education, New Jersey. google scholar
15. Heyman, F., Norbäck, P. J., & Persson, L. (2021). Artificial intelligence, robotics, work, and productivity: The role of firm heterogeneity. IFN Working Paper, No: 1382. http://hdl.handle.net/10419/240525 google scholar
16. Hobday, M. (2005). Firm-level innovation models: perspectives on research in developed and developing countries. Technology analysis & strategic management, 17(2), 121-146. https://doi.org/10.1080/09537320500088666 google scholar
17. Hsu, P. F., Kraemer, K. L., & Dunkle, D. (2006). Determinants of e-business use in US firms. International Journal of Electronic Commerce, 10(4), 9-45. https://doi.org/10.2753/JEC1086-4415100401google scholar
18. Kastelli, I., Dimas, P., Stamopoulos, D., & Tsakanikas, A. (2024). Linking digital capacity to innovation performance: The mediating role of absorptive capacity. Journal of the Knowledge Economy, 15(1), 238-272. https://doi.org/10.1007/s13132-022-01092-wgoogle scholar
19. Kimani, D., Adams, K., Attah-Boakye, R., Ullah, S., Frecknall-Hughes, J., & Kim, J. (2020). Blockchain, business and the fourth industrial revolution: Whence, whither, wherefore and how? Technological Forecasting and Social Change, 161, 120254. https://doi.org/10.1016/j.techfore.2020.120254. google scholar
20. Kong, T., Sun, R., Sun, G., & Song, Y. (2022). Effects of digital finance on green innovation considering information asymmetry: An empirical study based on Chinese listed firms. Emerging Markets Finance and Trade, 58(15), 4399-4411. https://doi.org/10.1080/1540496X.2022.2083953 google scholar
21. Kshetri, N. (2011). Cloud Computing in the Global South: drivers, effects, and policy measures. Third World Quarterly, 32(6), 997-1014. doi: 10.1080/01436597.2011.586225 google scholar
22. Léger, A., & Swaminathan, S. (2007). Innovation theories: Relevance and implications for developing country innovation. DIW Discussion Papers, No. 743. http://hdl.handle.net/10419/27267 google scholar
23. Maresova, P., Soukal, I., Svobodova, L., Hedvicakova, M., Javanmardi, E., Selamat, A., Krejcar, O. (2018). Consequences of Industry 4.0 in Business and Economics. Economies, 6(3), 46. https://doi.org/10.3390/economies6030046 google scholar
24. Müller O., Fay M., & Vom Brocke J. (2018). The Effect of Big Data and Analytics on Firm Performance: An Econometric Analysis Considering Industry Characteristics. Journal of Management Information Systems, 35(2), 488-509. doi: 10.1080/07421222.2018.1451955 google scholar
25. Nambisan, S., Wright, M., & Feldman, M. (2019). The digital transformation of innovation and entrepreneurship: progress, challenges, and key themes. Research Policy, 48(8), 103773. doi: 10.1016/j.respol.2019.03.018 google scholar
26. Niebel, T., Rasel, F., & Viete, S. (2019). BIG data–BIG gains? Understanding the link between big data analytics and innovation. Economics of Innovation and New Technology, 28(3), 296-316. doi: 10.1080/10438599.2018.1493075 google scholar
27. North, D. C. (1990). Institutions, institutional change, and economic performance. Cambridge University Press. google scholar
28. OECD (2005). Oslo manual guidelines for collecting and interpreting innovation data. Paris: OECD/Euro-stat. Third edition. google scholar
29. OECD (2019). Measuring the Digital Transformation: A Roadmap for the Future. OECD Publishing, Paris. https://doi.org/10.1787/5acf6594- en. google scholar
30. Rammer, C., Czarnitzki, D., & Fernández, G. P. (2021). Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data. ZEW- Centre for European Economic Research Discussion Paper, (21-036). https://dx.doi.org/10.2139/ssrn.3829822. google scholar
31. Remes, J., Mischke, J., Krishnan, M. (2018). Solving the Productivity Puzzle: The Role of Demand and the Promise of Digitization. International Productivity Monitor, 35, 28-51. google scholar
32. Rennings, K. (2000). Redefining innovation—eco-innovation research and the contribution from ecological economics. Ecological Economics, 32(2), 319-332. doi: 10.1016/S0921-8009(99)00112-3 google scholar
33. Sagar, S. (2024). The impact of digital transformation on retail management and consumer behavior. Journal of Business and Management, 26(1), 06-14. doi: 10.9790/487X-2601010614 google scholar
34. Sternberg, R., & Arndt, O. (2001). The firm or the region: What determines the innovation behavior of European firms? Economic geography, 77(4), 364-382. https://doi.org/10.1111/j.1944-8287.2001.tb00170.x google scholar
35. Tirole, J. (2023). Competition and the industrial challenge for the digital age. Annual Review of Economics, 15(1), 573-605. https://doi.org/10.1146/annurev-economics-090622-024222 google scholar
36. Van Ark, B. (2015). Productivity and digitilization in Europe: Paving the road to faster growth. Digiworld Economic Journal, 100, 107-124. https://ssrn.com/abstract=2845368 google scholar
37. World Economic Forum (2017). Harnessing Fourth Industrial Revolution technologies for sustainable development. World Economic Forum. https://www3.weforum.org/docs/WEF_Harnessing_the_4IR_for_the_Earth.pdf google scholar
38. Zhang, X. E., Wang, W., Teng, X., & Yang, L. (2024). Navigating Competitive Intensity: The Role of Digital Orientation in SMEs’ Green Innovations. Journal of the Knowledge Economy, 1-29. https://doi.org/10.1007/s13132-024-02110-9 google scholar
39. Zhao, J., Hu, P., & Cui, L. (2025). Economic and non-economic impact of digital transformation on enterprise competitiveness: Evidence from Chinese-listed companies. Technology Analysis & Strategic Management, 37(13), 4645-4661. https://doi.org/10.1080/09537325.2025.246792. google scholar