Competitiveness and R&D subsidies: The case of the Industry 4.0 Program in Portugal

Main Article Content

Luciana Peixoto Santa Rita
Joaquim Ramos Silva

Abstract

Objective: the objective of this study was to analyze the effects on industrial competitiveness of the subsidies related to the Industry 4.0 Program in Portugal from 2017 to 2019. The following research question arises in this context: What is the influence of the incentive value on the competitiveness of Portuguese industries after the implementation of the Industry 4.0 technology-enabling projects? Methods: the methodological approach of the study is correlational in nature, and it seeks to establish relationships between the Industry 4.0 incentive value and competitiveness in order to identify the role of funds/subsidies in the competitiveness of Industry 4.0 in Portugal. The study relied on the use of non-parametric statistical techniques. Kendall’s rank correlation coefficient, the Fisher test, and the Wilkinson test were used to interpret the results. Results and Conclusions: according to the presented results, the central hypothesis of
this study is accepted, since the factors that make up the Industry 4.0 — European fund — incentive value dimension have an association with the degree of competitiveness (operating revenue, number of employees, total factor productivity — TFP, gross value added, EBITDA, and net profit) in the 2017-2019 period.

Downloads

Download data is not yet available.

Article Details

How to Cite
Santa Rita, L. P., & Silva, J. R. (2023). Competitiveness and R&D subsidies: The case of the Industry 4.0 Program in Portugal. Brazilian Administration Review, 20(2), e220003. https://doi.org/10.1590/1807-7692bar2023220003
Section
Research Articles

References

Adamik, A. (2015). Strategic partnership and competitiveness of enterprises. SME perspective [Scientific Papers, No. 1199; Scientific Dissertations, Issue 484]. Lodz University of Technology, Poland.
Adamik, A. (2019). Creating a competitive advantage in the age of industry 4.0. Problemy Zarządzania, 17(82), 13-31. https://doi.org/10.7172/1644-9584.82.1
Alamsyah, D., Aryanto, R., Utama, I., Marita, L & Othman, N. (2020). The antecedent model of green awareness customer. Management Science Letters, 10(11), 2431-2436. https://doi.org/10.5267/j.msl.2020.4.007
Alvarez-Aros, E. L., & Bernal-Torres, C. A. (2021). Technological competitiveness and emerging technologies in industry 4.0 and industry 5.0. Anais da Academia Brasileira de Ciências, 93(1), e20191290. https://doi.org/10.1590/0001-3765202120191290
Amendola, G. Dosi, G, & Papagni, E. (1993). The dynamics of international competitiveness. Weltwirtschaftliches Archiv, 129(3), 451–471. https://doi.org/10.1007/BF02707997
Ardito, L., D'Adda, D., & Petruzzelli, A. M. (2018). Mapping innovation dynamics in the internet of things domain: Evidence from patent analysis. Technological Forecasting and Social Change, 136, 317-330. https://doi.org/10.1016/j.techfore.2017.04.022
Bain, J. S. (1956). Advantages of the large firm: Production, distribution, and sales promotion. Journal of Marketing, 20(4), 336-346. https://doi.org/10.1177/002224295602000402
Bal, H. Ç., & Erkan, Ç. (2019). Industry 4.0 and competitiveness. Procedia Computer Science, 158, 625-631. https://doi.org/10.1016/j.procs.2019.09.096
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108
Baumann, C., Cherry, M., & Chu, W. (2019). Competitive productivity (CP) at macro–meso–micro levels. Cross Cultural & Strategic Management, 26(2), 118-144. https://doi.org/10.1108/CCSM-08-2018-0118
Bianchini, S., Llerena, P., & Martino, R. (2019). The impact of R&D subsidies under different institutional frameworks. Structural Change and Economic Dynamics, 50, 65-78. https://doi.org/10.1016/j.strueco.2019.04.002
Bostan, I., Lazar, C. M., Asalos, N., Munteanu, 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
Boyes, H., Hallaq, B., Cunningham, J., & Watson, T. (2018). The industrial internet of things (IIoT): An analysis framework. Computers in Industry, 101, 1-12. https://doi.org/10.1016/j.compind.2018.04.015
Brennan, L., Ferdows, K., Godsell, J., Golini, R., Keegan, R., Kinkel, S., Srai, J. S., & Taylor, M. (2015). Manufacturing in the world: Where next? International Journal of Operations & Production Management, 35(9), 1253-1274. https://doi.org/10.1108/IJOPM-03-2015-0135
Bronzini, R., & Piselli, P. (2016). The impact of R&D subsidies on firm innovation. Research Policy, 45(2), 442-457. https://doi.org/10.1016/j.respol.2015.10.008
Brown, J. R., Martinsson, G., & Petersen, B. C. (2017). What promotes R&D? Comparative evidence from around the world. Research Policy, 46(2), 447-462. https://doi.org/10.1016/j.respol.2016.11.010
Buckley, P. J., Pass, C, L., & Prescott, K. (1988) Measures of international competitiveness: A critical survey. Journal of Marketing Management, 4(2), 175-200. https://doi.org/10.1080/0267257X.1988.9964068
Buer, S.-V., Strandhagen, J. O., & Chan, F. T. (2018). The link between Industry 4.0 and lean manufacturing: Mapping current research and establishing a research agenda. International Journal of Production Research, 56(8), 2924-2940.
Bulgarelli, L. H. P., & Porto, G. (2011). Análise da produtividade nas empresas industriais no estado de São Paulo com base na adoção de estratégias e técnicas de manufatura: Um estudo sobre a PAEP. Revista Ibero-Americana de Estratégia, 10(2), 84-117. https://doi.org/10.5585/ijsm.v10i2.1699
Cao, B., Wang, Z., Shi, H., & Yin, Y. (2015, November). Research and practice on Aluminum Industry 4.0. Proceedings of the Sixth International Conference on Intelligent Control and Information Processing (ICICIP), Wuhan, China.
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. https://doi.org/10.1016/j.techfore.2016.11.017
Chabowski, B. R., Mena, J. A. (2017). A review of global competitiveness research: Past advances and future directions. Journal of International Marketing, 25(4), 1-24. https://doi.org/10.1509/jim.16.0053
Chen, G., & Breedlove, J. (2020). The effect of innovation-driven policy on innovation efficiency: Based on the listed sports firms on Chinese new third board. International Journal of Sports Marketing and Sponsorship, 21(4), 735-755. https://doi.org/10.1108/IJSMS-12-2019-0136
Chen, T., & Lin, Y.-C. (2017). Feasibility evaluation and optimization of a smart manufacturing system based on 3D printing: A review. International Journal of Intelligent Systems, 32(4), 394-413. https://doi.org/10.1002/int.21866
Chiarello, F., Trivelli, L., Bonaccorsi, A., & Fantoni, G. (2018). Extracting and mapping industry 4.0 technologies using Wikipedia. Computers in Industry, 100, 244-257. https://doi.org/10.1016/j.compind.2018.04.006
Collie, D. R. (2005). State aid to investment and R&D [Economic Papers nº 231]. European Economy, European Comission, Brussels, Belgium. https://ec.europa.eu/economy_finance/publications/pages/publication616_en.pdf
COMPETE (2020). Competitiveness and internationalization operational program. https://www.compete2020.gov.pt/
Contador, J. L., & Senne, E. L. F. (2016). Non-parametric tests for small samples of categorized variables: A study. Gestão & Produção, 23(3), 588-599. https://doi.org/10.1590/0104-530X357-15
Correia, C., & Costa, V. (2016). Avaliação do impacto dos fundos do QREN no desempenho económico e financeiro das PME: O caso da indústria transformadora do concelho de Barcelos. Portuguese Journal of Finance, Management and Accounting, 2(4), 76-99. http://u3isjournal.isvouga.pt/index.php/PJFMA/article/view/185
COTEC (2020, August 31). Indústria 4.0: Uma temática estratégica. COTEC Portugal. https://cotecportugal.pt/pt/2020/industria-4-0-uma-tematica-estrategica/
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, 104948. https://doi.org/10.1016/j.worlddev.2020.104948
Cruz-Cázares, C., Bayona-Sáez, C., & García-Marco, T. (2013). You can’t manage right what you can’t measure well: Technological innovation efficiency. Research Policy, 42(6-7), 1239-1250. https://doi.org/10.1016/j.respol.2013.03.012
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. https://doi.org/10.1016/j.ijpe.2018.08.019
Dias, S., Espadinha-Cruz, P., & Matos, F. (2022). Understanding how additive manufacturing influences organizations’ strategy in knowledge economy. Procedia Computer Science, 200, 1318-1327. https://doi.org/10.1016/j.procs.2022.01.333
Diaz-Balteiro, L., Herruzo, A. C., Martinez, M., & González-Pachón, J. (2016). An analysis of productive efficiency and innovation activity using DEA: An application to Spain’s wood-based industry. Forest Policy and Economics, 8(7), 762-773. https://doi.org/10.1016/j.forpol.2005.06.004
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. https://doi.org/10.1016/j.respol.2014.05.001
Dosi, G. (1998). Sources, procedures and microeconomic effects of innovation. Journal of Economic Literature, 26(3), 1120-1171. https://www.jstor.org/stable/2726526
Dosi, G. (1982). Technological paradigms and technological trajectories: A suggested interpretation of the determinants and directions of technical change. Research Policy, 11(3), 147-162. https://doi.org/10.1016/0048-7333(82)90016-6
Dosi, G., Grazzi, M., & Moschella, D. (2015). Technology and costs in international competitiveness: From countries and sectors to firms. Research Policy, 44(10), 1795–1814. https://doi.org/10.1016/j.respol.2015.05.012
Dosi, G., Pavitt, K., & Soete, L. (1990). The economics of technical change and international trade. New York University Press.
Durand, M., & Giorno, C. (1987). Indicators of international competitiveness: Conceptual aspects and evaluation. OECD Economic Studies, (9), 147-182. https://www.oecd.org/economy/outlook/33841783.pdf
Fagerberg, J. (1996). Technology and competitiveness. Oxford Review of Economic Policy, 12(3), 39–51. https://doi.org/10.1093/oxrep/12.3.39
Fagerberg, J., Srholec, M., & Knell, M. (2007). The competitiveness of nations: Why some countries prosper while others fall behind. World Development, 35(10), 1595-1620. https://doi.org/10.1016/j.worlddev.2007.01.004
Fan, S.-R., Chen, Z.-B., & Shen, L. (2018). Effect of enterprises' financial flexible policies on innovation efficiency--based on the empirical evidence in the context of new normal economy. Journal of Northeastern University (Social Science), 20, 36-43. https://doi.org/10.15936/j.cnki.1008-3758.2018.01.006
Fan, D., Li, Y., & Chen, L. (2017). Configuring innovative societies: The crossvergent role of cultural and institutional varieties. Technovation, 66-67, 43-56. https://doi.org/10.1016/j.technovation.2017.05.003
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, Cham. https://doi.org/10.1007/978-3-030-78170-5_11
Fee, P. R., Mialon, H. M., & Williams, M. A. (2004). What is a barrier to entry? American Economic Review, 94(2), 461-465. https://doi.org/10.1257/0002828041302235
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
Ferreira, J., Coelho, A., & Moutinho, L. (2021). Strategic alliances, exploration and exploitation and their impact on innovation and new product development: The effect of knowledge sharing. Management Decision, 59(3), 524-567. https://doi.org/10.1108/MD-09-2019-1239
Gordeev, R. (2020) Comparative advantages of Russian forest products on the global market. Forest Policy and Economics, 119, 102286. https://doi.org/10.1016/j.forpol.2020.102286
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. https://doi.org/10.1016/j.respol.2014.09.001
Gujarati, D. N., & Porter, D. C. (2011). Econometria básica (5 ed.). AMGH.
Howell, A. (2016). Firm R&D, innovation and easing financial constraints in China: Does corporate tax reform matter? Research Policy, 45(10), 1996-2007. https://doi.org/10.1016/j.respol.2016.07.002
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. https://doi.org/10.1080/09537325.2015.1060310
Hsu, F.-M., Horng, D.-J., Hsueh, C.-C. (2009). The effect of government-sponsored R&D programmes on additionality in recipient firms in Taiwan. Technovation, 29(3), 204-217. https://doi.org/10.1016/j.technovation.2008.05.001
IAPMEI (2020). Portugal 2020. https://www.iapmei.pt/PRODUTOS-E-SERVICOS/Incentivos-Financiamento/Sistemas-de-Incentivos/Incentivos-Portugal-2020.aspx
International Institute for Management Development (2020). World competitiveness center rankings. https://www.imd.org/centers/wcc/world-competitiveness-center/rankings/
Jamalnia, A., Yang, J.-B., Xu, D.-L., Feili, A., & Jamali, G. (2019). Evaluating the performance of aggregate production planning strategies under uncertainty in soft drink industry. Journal of Manufacturing Systems, 50, 146-162. https://doi.org/10.1016/j.jmsy.2018.12.009
Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of german manufacturing industry [Final Report of the Industries 4.0 Working Group]. Acatech, national Academy of Science and Engineering, Forschungsunion, Frankfurt, Germany. https://en.acatech.de/publication/recommendations-for-implementing-the-strategic-initiative-industrie-4-0-final-report-of-the-industrie-4-0-working-group/
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. https://doi.org/10.1016/j.technovation.2011.08.004
Kendall, M. G. (1938). A new measure correlation. Biometrika, 30(1-2), 81-93. https://doi.org/10.1093/biomet/30.1-2.81
Kim, J.-S., & Shin, N. (2019). The impact of blockchain technology application on supply chain partnership and performance. Sustainability, 11(21), 6181. https://doi.org/10.3390/su11216181
Klingenberg, C. O., Viana Borges, M. A., Valle Antunes Jr., J. A. (2019). 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
Krugman, P. (1994). Competitiveness: A dangerous obsession. Foreign Affairs, 28. https://www.foreignaffairs.com/articles/1994-03-01/competitiveness-dangerous-obsession
Lamperti, F., Malerba, F., Mavilia, R., & Tripodi, G. (2020). Does the position in the inter-sectoral knowledge space affect the international competitiveness of industries? Economics of Innovation and New Technology, 29(5), 441-488. https://doi.org/10.1080/10438599.2019.1633113
Laureti, T., & Viviani, A. (2011). Competitiveness and productivity: A case study of Italian firms. Applied Economics, 43(20), 2615-2625. https://doi.org/10.1080/00036840903357439
Laursen, K., & Meliciani. V. (2000). The importance of technology-based intersectoral linkages for market share dynamics. Review of World Economics, 136(4), 702–723. https://doi.org/10.1007/BF02707649
Lee, I., & Lee, K. (2015). The internet of things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431-440. https://doi.org/10.1016/j.bushor.2015.03.008
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. https://doi.org/10.1016/j.respol.2018.02.010
Lee, R. (2021). The effects of smart factory operational strategies and system management on the innovative performance of small-and medium-sized manufacturing firms. Sustainability, 13(6), 3087. https://doi.org/10.3390/su13063087
Li, C., Li, M., Zhang, L., Li, T., Ouyang, H., & Na, S. (2019). Has the high-tech industry along the belt and road in China achieved green growth with technological innovation efficiency and environmental sustainability? International Journal of Environmental Research and Public Health, 16(17), 3117. https://doi.org/10.3390/ijerph16173117
Li, 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, 66-74. https://doi.org/10.1016/j.techfore.2017.05.028
Li, H., Zhang, J., Wang, C., Wang, Y., & Coffey, V. (2018). An evaluation of the impact of environmental regulation on the efficiency of technology innovation using the combined DEA model: A case study of Xi'an, China. Sustainable Cities and Society, 42, 355-369. https://doi.org/10.1016/j.scs.2018.07.001
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. https://doi.org/10.1080/00207543.2017.1308576
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, 441-452. https://doi.org/10.1016/j.econmod.2018.11.027
Lu, H.-P., & Weng, C.-I. (2018). Smart manufacturing technology, market maturity analysis and technology roadmap in the computer and electronic product manufacturing industry. Technological Forecasting & Social Change, 133, 85–94. https://doi.org/10.1016/j.techfore.2018.03.005
Marco, R. (2012). Gender and economic performance: Evidence from the Spanish hotel industry. International Journal of Hospitality Management, 31(3), 981-989. https://doi.org/10.1016/j.ijhm.2011.12.002
Mardones, C., & Ávila, F. (2020). Effect of R&D subsidies and tax credits on the innovative processes of Chilean firms. Academia Revista Latinoamericana de Administración, 33(3/4), 517-534. https://doi.org/10.1108/ARLA-08-2020-0181
Martins, A. (2004). Introdução à análise financeira de empresas (2 ed.). Grupo Editorial Vida Económica.
Melnyk, S. A., Flynn, B. B., & Awaysheh, A. (2018). The best of times and the worst of times: Empirical operations and supply chain management research. International Journal of Production Research, 56(1-2), 164-192. https://doi.org/10.1080/00207543.2017.1391423
Mendonça, M., Pereira Jr., A., Medrano, L., & Pessanha, J. (2021). Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector. Socio-Economic Planning Sciences, 76, 100973. https://doi.org/10.1016/j.seps.2020.100973
Mendonça, M.., Pereira, R., Pinna, B., & Medrano, L. (2022). Avaliando o desempenho da indústria brasileira [Texto para Discussão (TD) 2774]. IPEA. https://repositorio.ipea.gov.br/handle/11058/11216
Minford, L., Meenagh, D. (2019). Testing a model of UK growth: A role for R&D subsidies. Economic Modelling, 82, 152-167. https://doi.org/10.1016/j.econmod.2019.01.002
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
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(5), 1384–1400. https://doi.org/10.1080/00207543.2019.1636323
Moreira, J. (2001). Análise financeira de empresas - da teoria à prática (4 ed.). Associação da Bolsa de Derivados do Porto.
Mukherjee, A., Singh, M., & Zaldokas, A. (2017). Do corporate taxes hinder innovation? Journal of Financial Economics, 124(1), 195-221. https://doi.org/10.1016/j.jfineco.2017.01.004
Müller, J. M., Kiel, D., & Voigt, K.-I. (2018). What drives the implementation of Industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability, 10(1), 247. https://doi.org/10.3390/su10010247
Nelson, R., & Winter, S. (1982). An evolutionary theory of economic change. Belknap Press.
Nowacki, K. (2021). Accident risk in the production sector of EU countries—Cohort studies. International Journal of Environmental Research and Public Health, 18(7), 3618. https://doi.org/10.3390/ijerph18073618
Oztemel, E., & Gursev, S. (2018). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31, 127-182. https://doi.org/10.1007/s10845-018-1433-8
Paluch, S., Antons, D., Brettel, M., Hopp, C., Salge, T.-O., Piller, F., & Wentzel, D. (2019). Stage-gate and agile development in the digital age: Promises, perils, and boundary conditions. Journal of Business Research, 110, 495-501. https://doi.org/10.1016/j.jbusres.2019.01.063
Pan, X.-F., & Yang, Y. (2014). Evaluation of industrial enterprise’s innovation efficiency in China excluding the influence of environment variables. Operations Research and Management Science, (6), 244-251. http://caod.oriprobe.com/articles/43640155/Evaluation_of_Industrial_Enterprise__s_Innovation_Efficiency_in_China_.htm
Pereira, A. C., & Romero, F. (2017). A review of the meanings and the implications of the Industry 4.0 concept. Procedia Manufacturing, 13, 1206-1214. https://doi.org/10.1016/j.promfg.2017.09.032
Pindyck, R. S., & Rubinfeld, D. L. (2004). Econometria, modelos e previsões (3 ed.). Campus.
PORDATA (2020). Indústria, inovação e infraestruturas. PORDATA Estatística sobre Portugal e Europa. https://www.pordata.pt/
Porter, M. E. (1990). The competitive advantage of nations. Harvard Business Review, 68(2), 73-93. https://hbr.org/1990/03/the-competitive-advantage-of-nations
Prasada, P. Komaladewi, R., & Zusnita, W. O. (2021). Competitiveness of SMEs: The support of value creation and market orientation. Management Science Letters, 11(2), 645-656. https://doi.org/10.5267/j.msl.2020.9.002
Prasetyo, H. A. (2016). What driver international competitiveness? An empirical test in emerging Indonesian market. Journal of Competitiveness, 8(4), 124-139. https://doi.org/10.7441/joc.2016.04.08
Radas, S., Anić, I.-D., Tafro, A., & Wagner, V. (2015). The effects of public support schemes on small and medium enterprises. Technovation, 38, 15-30. https://doi.org/10.1016/j.technovation.2014.08.002
Reis, R., Diniz, F., Mizioka, L., Olivio, P., Lemos, G., Quintiães, M., Menezes, R., Amadio, F., & Caldas, N. (2018). FASTEN: An IoT platform for manufacturing. Embraer use case. MATEC Web of Conferences, 233, 00009. https://doi.org/10.1051/matecconf/201823300009
Reischauer, G. (2018). Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing. Technological Forecasting and Social Change, 132, 26-33. https://doi.org/10.1016/j.techfore.2018.02.012
Rodriguez-Fernandez, M. (2016). Social responsibility and financial performance: The role of good corporate governance. BRQ Business Research Quarterly, 19(2), 137-151. https://doi.org/10.1016/j.brq.2015.08.001
Rosenberg, N., Landau, R., & Mowery, D. (1992). Technology and the wealth of nations. Stanford University Press.
Sá, J., Ferreira, L. P., Dieguez, T., Sá, J. C., & Silva, F. J. G. (2021). Role of the industry 4.0 in the wine production and enotourism sectors. In J. V. de Carvalho, Á. Rocha, P. Liberato, A. Peña (Eds.), Advances in tourism, technology and systems. ICOTTS 2020. Smart innovation, systems and technologies (Vol. 208). Springer. https://doi.org/10.1007/978-981-33-4256-9_16
Saboia, J., & Carvalho, P. (1997). Produtividade na indústria brasileira: Questões metodológicas e análise empírica. Instituto de Pesquisa Econômica Aplicada.
Santa Rita, L., Silva, J., & Ferreira Junior, R. (2022). Best regional practices for digital transformation in industry: The case of the industry 4.0 program in Portugal. In V. Kumar, J. Leng, V. Akberdina, E. Kuzmin (Eds.), Digital Transformation in Industry, Lecture Notes in Information Systems and Organisation (Vol. 54). Springer. https://doi.org/10.1007/978-3-030-94617-3_13
Savu, T., & Dumitrescu, A. (2021). Work-in-progress: Developing a master programme for specialists in industry 4.0: How an international partnership of universities developed the curricula for a master programme for specialists in industry 4.0. In M. E. Auer, & T. Tsiatsos (Eds.), Internet of things, infrastructures and mobile applications: Proceedings of the 13th IMCL Conference (pp. 1033-1038). Springer International Publishing. https://www.springerprofessional.de/en/work-in-progress-developing-a-master-programme-for-specialists-i/18362728
Schuh, G., Anderl, R., Gausemeier, J., Hompel, M., & Wahlster, W. (2017). Industrie 4.0 maturity index - Managing the digital transformation of companies. Acatech Study. https://en.acatech.de/publication/industrie-4-0-maturity-index-managing-the-digital-transformation-of-companies/
Selltiz, C., Jahoda, M., Deutsch, M., & Cook, S. (1985). Métodos de pesquisa nas relações sociais. Herder – EDUSP.
Siegel, S. (1975). Estatística não paramétrica. Ed. Trillas.
Shan, P., Song, M., & Ju, X. (2016). Entrepreneurial orientation and performance: Is innovation speed a missing link? Journal of Business Research, 69(2), 683–690. https://doi.org/10.1016/j.jbusres.2015.08.032
Simões, A. C., Mendes, J. T., & Rodrigues, J. C. (2022). The impact of industry 4.0 paradigm on the pharmaceutical industry in Portugal. In J. Machado, F. Soares, J. Trojanowska, & V. Ivanov (Eds.), Innovations in industrial engineering (pp. 406-419). Springer International Publishing. https://www.springerprofessional.de/en/the-impact-of-industry-4-0-paradigm-on-the-pharmaceutical-indust/19288134
Song, C., & Oh, W. (2015). Determinants of innovation in energy intensive industry and implications for energy policy. Energy Policy. 81, 122-130. https://doi.org/10.1016/j.enpol.2015.02.022
Strozzi, F., Colicchia, C., Creazza, A., & Noè, C. (2017) Literature review on the ‘Smart Factory’ concept using bibliometric tools. International Journal of Production Research, 55(22), 6572-6591. https://doi.org/10.1080/00207543.2017.1326643
Sung, B. (2019). Do government subsidies promote firm-level innovation? Evidence from the Korean renewable energy technology industry. Energy Policy, 132, 1333-1344. https://doi.org/10.1016/j.enpol.2019.03.009
Sutapa, M., Mulyana, M., & Wasitowati, W. (2017). The role of market orientation, creativity and innovation in creating competitive advantages and creative industry performance. Jurnal Dinamika Manajemen, 8(2), 152-166. https://doi.org/10.15294/jdm.v1i1.12756
Tao, F., Zuo, Y., Xu, L., & Zhang, L. (2014). IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Transactions on Industrial Informatics, 10(2), 1547-1557. https://doi.org/10.1109/TII.2014.2306397
Thoben, K.-D., Wiesner, S., & Wuest, T. (2017). “Industrie 4.0” and smart manufacturing-a review of research issues and application examples. International Journal of Automation Technology, 11(1), 4-16. https://doi.org/10.20965/ijat.2017.p0004
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. https://doi.org/10.2307/2601030
Wang, Y., & Turkina, E. (2020). Economic complexity, product space network and Quebec's global competitiveness. Canadian Journal of Administrative Sciences, 37(3), 334-349. https://doi.org/10.1002/cjas.1555
Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics Bulletin, 1(6), 80-83. https://doi.org/10.2307/3001968
Xu, L. D., Xu, E. L., & Li, 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
Yang, X., & Yu, X. (2020). Preventing patent risks in artificial intelligence industry for sustainable development: A multi-level network analysis. Sustainability, 12(20), 8667. https://doi.org/10.3390/su12208667
Zhang, P., & London, K. (2013). Towards an internationalized sustainable industrial competitiveness model. Competitiveness Review, 23(2), 95-113. https://doi.org/10.1108/10595421311305325
Zhong, R. Y., Xu, C., Chen, C., & Huang, G. Q. (2017). Big data analytics for physical internet-based intelligent manufacturing shop floors. International Journal of Production Research, 55(9), 2610-2621. https://doi.org/10.1080/00207543.2015.1086037