Skip to main content
SpringerLink
Log in

Best Regional Practices for Digital Transformation in Industry: The Case of the Industry 4.0 Program in Portugal

  • Conference paper
  • First Online:
Digital Transformation in Industry

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 54))

Abstract

The Portuguese government, through its program for Industry 4.0, Portugal I4.0, has been supporting projects aimed at the digital transformation of the economy by mobilizing European funds and governmental subsidies from the Portugal 2020 Program. The objective of this study is to analyze the best regional practices for digital transformation in the industry 4.0 in this context. The following research questions arise: which are the best practices for digital transformation in Portugal under this Program and what was the impact on the competitiveness of Portuguese industries after the implementation of these technologies through the Incentive Value from 2017 to 2019? The methodological approach is correlational, and it establishes a relationship between the I4.0 Incentive Value and Competitiveness in order to identify the best regional practices for digital trans-formation in the Portuguese industry. The hypothesis of this study is accepted for the period 2017–2019, since the factors that make up the industry 4.0—European Fund—Incentive Value dimension are associated to the degree of competitive-ness, which was measured by a set of related variables. Further studies are necessary for longer periods and with a broader scope, the result shows the relevance of the Program.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ahuett, H., & Kurfess, T. (2018). A brief discussion on the trends of habilitating technologies for Industry 4.0 and smart manufacturing. Manufacturing Letters, 15, (B), 60–63, https://doi.org/10.1016/j.mfglet.2018.02.011

  2. Ardito, L. D., D’Adda, A., & Petruzzelli, M. (2018). Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis. Technological Forecasting and Social Change, 136, 317–330.

    Article  Google Scholar 

  3. Baumann, C., Cherry, M., & Chu, W. (2019). Competitive Productivity (CP) at macro–meso–micro levels. Cross Cultural & Strategic Management, 26(2), 118–144.

    Article  Google Scholar 

  4. Bongomin, O., Ocen, G. G., Nganyi, E. O., Musinguzi, A., & Omara, T. (2019). Exponential disruptive technologies and the required skills of Industry 4.0: A review. Journal of Engineering, 2020, 4280156. https://doi.org/10.1155/2020/4280156

  5. Bianchini, S., Llerena, P., & Martino, R. (2019). The impact of R&D subsidies under diferente institutional frameworks. Structural Change and Economic Dynamics, 50, 65–78.

    Article  Google Scholar 

  6. Boyes, H., Hallaq, B., Cunningham, J., & Watson, T. (2018). The industrial internet of things (IIoT): An analysis framework. Computers in Industry, 101, 1–12.

    Article  Google Scholar 

  7. Bostan, I., Lazar, C. M., Munteanu, N., I., & Horga, G. M. (2019). The three-dimensional impact of the absorption effects of European funds on the competitiveness of the SMEs from the Danube Delta. Industrial Crops and Products, 132, 460–467. https://doi.org/10.1016/j.indcrop.2019.02.053

  8. Bronzini, R., & Piselli, P. (2016). The impact of R&D subsidies on firm innovation. Research Policy, 45(2), 442–457.

    Article  Google Scholar 

  9. Ciffolilli, A., & Muscio, A. (2018). Industry 4.0: National and regional comparative advantages in key enabling technologies. European Planning Studies, 26(12), 2323–2343. https://doi.org/10.1080/09654313.2018.1529145

  10. Cruz-machado, V., Alcácer, V. (2019). Scanning the industry 4.0 a literature review on technologies for manufacturing systems. Engineering Science and Technology, 22, (3), 899–919.

    Google Scholar 

  11. Carboni, O. A. (2017). The effect of public support on investment and R&D: An empirical evaluation on European manufacturing firms. Technological Forecasting and Social Change, 117, 282–295.

    Article  Google Scholar 

  12. Crespi, G., Figal Garone, L., Maffioli, A., & Stein, E. (2020). Public support to R&D, productivity, and spillover effects: Firm-level evidence from Chile. World Development, 130(C). https://doi.org/10.1016/j.worlddev.2020.104948

  13. COTEC.: Programa Portugal i4.0. (2018). https://www.industria4-0.cotec.pt/programa/medidas/

  14. Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383–394.

    Article  Google Scholar 

  15. Doh, S., & Kim, B. (2014). Government support for SME innovations in the regional industries: The case of government financial support program in South Korea. Research Policy, 43(9), 1557–1569.

    Article  Google Scholar 

  16. Faria, B. S., Simões, A. C., & Rodrigues, J. C. (2022). Impact of governmental support for the implementation of Industry 4.0 in Portugal. In: J. Machado, F. Soares, J. Trojanowska, V. Ivanov (Eds.), Innovations in industrial engineering. ICIENG 2021. Lecture notes in mechanical engineering. Springer. https://doi.org/10.1007/978-3-030-78170-5_11

  17. 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

    Article  Google Scholar 

  18. Frank, A., Dalenogare, L., & Ayala, N. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210(C), 15–26.

    Google Scholar 

  19. González, X., & Pazó, C. (2008). Do public subsidies stimulate private R&D spending? Research Policy, 37(3), 371–389.

    Article  Google Scholar 

  20. Guan, J., & Yam, R. C. (2015). Effects of government financial incentives on firms’ innovation performance in China: Evidence from Beijing in the 1990s. Research Policy, 44(1), 273–282.

    Article  Google Scholar 

  21. Hong, J., Hong, S., Wang, L., Xu, Y., & Zhao, D. (2015). Government grants, private R&D funding and innovation efficiency in transition economy. Technology Analysis and Strategic Management, 27(9), 1068–1096.

    Article  Google Scholar 

  22. IAPMEI. (2019). Indústria 4.0—Governo lança Fase II do programa. https://www.iapmei.pt/NOTICIAS/Industria-4-0-Governo-lanca-2-fase-do-programa.aspx

  23. Kang, K. N., & Park, H. (2012). Influence of government R&D support and inter-firm collaborations on innovation in Korean biotechnology SMEs. Technovation, 32(1) 68–78.

    Google Scholar 

  24. Klingenberg, C. O., Borges, M. A. V., & Antunes Jr, J. A. V. (2021). Industry 4.0 as a data-driven paradigm: A systematic literature review on technologies. Journal of Manufacturing Technology Management, 32(3) 570–592. https://doi.org/10.1108/JMTM-09-2018-0325

  25. Lee, D. (2018). Impact of the excise tax on firm R&D and performance in the medical device industry: Evidence from the Affordable Care Act. Research Policy, 47(5), 854–871.

    Article  Google Scholar 

  26. Li, Y., Jia, G., Cheng, Y., & Hu, Y. (2017). Additive manufacturing technology in spare parts supply chain: A comparative study. International Journal of Production Research, 55(5), 1498–1515.

    Article  Google Scholar 

  27. Lezzi, M., Lazoi, M., & Corallo, A. (2018). Cybersecurity for industry 4.0 in the current literature: A reference framework. Computers in Industry, 103, 97–110.

    Article  Google Scholar 

  28. Liu, D., Chen, T., Liu, X., & Yu, Y. (2019). Do more subsidies promote greater innovation? Evidence from the Chinese electronic manufacturing industry. Economic Modelling, 80(C), 441–452.

    Google Scholar 

  29. Liao, Y., Deschamps, F., Loures, E. D. F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609–3629.

    Google Scholar 

  30. Ling, L. (2018). China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”. Technological Forecasting and Social Change, 135(C), 66–74.

    Google Scholar 

  31. Li, D. X., Eric, L. X., & Ling, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941—2962. https://doi.org/10.1080/00207543.2018.1444806

  32. Mittal, S., Khan, M. A., Purohit, J. K., Menon, K., Romero, D., & Wuest, T. (2020). A smart manufacturing adoption framework for SMEs. International Journal of Production Research, 58(5), 1555–1573. https://doi.org/10.1080/00207543.2019.1661540

    Article  Google Scholar 

  33. Mittal, S., Khan, M., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing and Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194–214.

    Article  Google Scholar 

  34. Moeuf, A., Lamouri, S., Pellerin, R., Tamayo-Giraldo, S., Tobon-Valencia, E., & Eburdy, R. (2020). Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs. International Journal of Production Research, 58, 1384–1400. https://doi.org/10.1080/00207543.2019.1636323

    Article  Google Scholar 

  35. Öztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31, 127–182.

    Article  Google Scholar 

  36. Primeiro-Ministro e Ministro Adjunto e da Economia na apresentação na nova fase do i4.0. (2019). https://clck.ru/Z7Cmo

  37. Schroeder, A., Ziaee Bigdeli, A., Galera Zarco, C., & Baines, T. (2019). Capturing the benefits of industry 4.0: A business network perspective, Production. Planning & Control, 30(16), 1305–1321. https://doi.org/10.1080/09537287.2019.1612111

  38. Siegel, S. (1975). Estatística não paramétrica. McGraw Hill.

    Google Scholar 

  39. Thoben, K., Wiesner, S., & Wuest, T. (2017). “Industrie 4.0” and smart manufacturing—A review of research issues and application examples. International Journal of Automotive Technology, 11, 4–16.

    Article  Google Scholar 

  40. Xu, M., David, J. M., & Kim, S. H. (2018). The fourth industrial revolution: Opportunities and challenges. International Journal of Finance Research, 9(2), 90–95.

    Google Scholar 

  41. Wallsten, S. J. (2000). The effects of government-industry R&D programs on private R&D: The case of the small business innovation research program. The RAND Journal of Economics, 31(1), 82–100.

    Article  Google Scholar 

  42. Wollschlaeger, M., Sauter, T., & Jasperneite, J. (2017). The future of industrial communication: Automation networks in the era of the internet of things and Industry 4.0. IEEE Industrial Electronics Magazine, 11(1), 17–27. https://doi.org/10.1109/MIE.2017.2649104

Download references

Author information

Authors and Affiliations

  1. Federal University of Alagoas, Campus, AC Simões, Alagoas, 57.000-000, Brazil

    Luciana Peixoto Santa Rita & Reynaldo Rubem Ferreira Junior

  2. University of Lisboa, Rua Miguel Lúpi 20, 1279-048, Lisboa, Portugal

    Joaquim Ramos Silva

Authors
  1. Luciana Peixoto Santa Rita
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Joaquim Ramos Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Reynaldo Rubem Ferreira Junior
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Luciana Peixoto Santa Rita .

Editor information

Editors and Affiliations

  1. Bristol Business School, University of the West of England, Bristol, UK

    Vikas Kumar

  2. State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Mechanical Engineering, Guangdong University of Technology, Guangzhou, China

    Jiewu Leng

  3. Department of Regional Industrial Policy and Economic Security, Institute of Economics, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia

    Victoria Akberdina

  4. Department of Regional Industrial Policy and Economic Security, Institute of Economics, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia

    Evgeny Kuzmin

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rita, L.P.S., Silva, J.R., Junior, R.R.F. (2022). Best Regional Practices for Digital Transformation in Industry: The Case of the Industry 4.0 Program in Portugal. In: Kumar, V., Leng, J., Akberdina, V., Kuzmin, E. (eds) Digital Transformation in Industry . Lecture Notes in Information Systems and Organisation, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-030-94617-3_13

Download citation

Publish with us

Policies and ethics

Search

Navigation