Ambiguities of industry 4.0: gains, efficiency, and worker tensions




industry 4.0, innovation, industrial, performance, manufacturing, technology


Purpose: Increasingly, organizations are seeking technological innovations to improve their processes and production stages, configuring Industry 4.0, which, despite the evident gains, has generated tensions in the world of work. Thus, this article aims to analyze how workers in this context have experienced this transition. Methodology/Approach: In methodological terms, this study was conducted through a qualitative-descriptive approach, which investigated the perception of workers involved in organizations that went through technological innovations through semi-structured interviews analyzed in the light of content analysis. Findings: The results acknowledge the benefits of technological advancement to the substantial development of the production processes of these organizations but highlight the ambiguities of Industry 4.0, such as the replacement of human labor by machine, generating unemployment, conflicts, and tensions among workers. Research Limitation/implication: The limitations of this study are the size of its corpus due to the difficulty in joining the research, imposed by the social limits caused by the pandemic. Originality/Value of paper: The discussions observed in the research point to the ambiguities that accompany this phenomenon, which has different positions and visions and points to the urgency of inserting the human component in the debates involving various sectors of society.


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Author Biographies

Georgiana Luna Batinga, Federal University of Technology – Paraná

Professor of the Postgraduate Program in Administration at the Federal Technological University of Paraná (DAGEE/UTFPR), Curitiba campus. She has a PhD (2018), Master's (2014) and Graduation (2008) in Business Administration from the Pontifical Catholic University of Minas Gerais. She develops research in the area of Work, Consumption and Society, with theoretical and methodological contributions in Discourse Analysis and Critical Discourse Analysis.

Richardson Coimbra Borges, Federal University of Mato Grosso do Sul

Doctor in Business Administration from the Federal University of Lavras - UFLA, focusing on Business Management, Economics and Markets. Master in Agricultural Statistics and Experimentation, Area of concentration: Agricultural Statistics and Experimentation, by the Federal University of Lavras - UFLA. Specialist in Finance, Investments and Banking, from the Pontifical Catholic University of Rio Grande do Sul (PUCRS). Graduated in Accounting Sciences from the Pontifical Catholic University of Minas Gerais (PUCMINAS). Graduated in Business Administration from Faculdades Integradas Adventistas de Minas Gerais - FADMINAS. He is currently an Adjunct Professor at the Federal University of Mato Grosso do Sul, teaching subjects related to Accounting, Finance and Economics.


Alam, G. M., Forhad, A. R., & Ismail, I. A. (2020). Can education as an ‘International Commodity’be the backbone or cane of a nation in the era of fourth industrial revolution?-A Comparative study. Technological Forecasting and Social Change, 159, 120184.

Bardin, L. (2011). Análise de conteúdo. Lisboa: Edições 70.

Batista Lins, A. (2021). Método Qualitativo na Pesquisa Acadêmica. Revista Primeira Evolução, 1(1-4), p. 17–24.

Brun, L., Gereffi, G., & Zhan, J. (2019). The “lightness” of Industry 4.0 lead firms: implications for global value chains. In Transforming industrial policy for the digital age. Edward Elgar Publishing.

Butterick, M., & Charlwood, A. (2021). HRM and the COVID‐19 pandemic: How can we stop making a bad situation worse?. Human Resource Management Journal, 31(4), 847-856.

Cardoso, M. R. G., Oliveira, G. S., & Ghelli, K. G. M. (2021). Análise de conteúdo: uma metodologia de pesquisa qualitative. Cadernos da Fucamp, 20(43), p.98-111.

Cruz, A. C. S. O., & Medeiros, A. F. de. (2021). Theoretical-methodological construction of a research: an analysis of the path traveled. Research, Society and Development, 10(17), p. 1-8.

Felsberger, A., Qaiser, F. H., Choudhary, A., & Reiner, G. (2022). The impact of Industry 4.0 on the reconciliation of dynamic capabilities: evidence from the European manufacturing industries, Production Planning & Control, 33(2-3), p. 277-300.

Frank, A.G., Mendes, G.H.S., Ayala, N.F., & Ghezzi, A. (2019). Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective. Technological Forecasting and Social Change, 148, 341–351.

Ghobakhloo M. (2020). Industry 4.0, digitization, and opportunities for sustainability. Journal of cleaner production, 252, p. 1-21.

Gonçalves, J. R. (2021). Manual de Projeto de Pesquisa. Brasília: Editora Processus.

Grabowska S., & Saniuk S. (2022). Business Models in the Industry 4.0 Environment—Results of Web of Science Bibliometric Analysis. Journal of Open Innovation: Technology, Market, and Complexity. 8(1), p. 1-19.

Guazi, T. S. (2021). Diretrizes para o uso de entrevistas semiestruturadas em investigações científicas. Revista Educação, Pesquisa e Inclusão, 2, p. 1-20.

Hermann, M., Pentek, T., & Otto, B. (2016). Princípios de design para cenários da Indústria 4.0: uma revisão de literatura. Documento de trabalho. n.01/2015, TechnischeUniversitat Dortmund, 15p.

Hui H., & Trimi, S. (2022). Towards a data science platform for improving SME collaboration through Industry 4.0 technologies, Technological Forecasting and Social Change, 174, p.

ILO. International Labour Organization. (2016). Non-standard employment around the world: Understanding challenges, shaping prospects. Understanding Challenges, Shaping Prospects. Report, 16 November. Geneva: ILO.

Kagermann, H. (2016). Recomendações para a implementação do setor de iniciativa estratégica 4.0. Relatório final do grupo de trabalho Industria 4.0. Francfort: Acatech. Disponível em: <>. Acesso em: 24 de janeiro. 2022.

Kagermann, H., Wahlsler, W., & Helbig, J. (2013). Recomendações para implementando a iniciativa estratégica INDUSTRIE 4.0, Frankfurt.

Khin, S., & Kee, D.M.H. (2022). Factors influencing Industry 4.0 adoption, Journal of Manufacturing Technology Management.

Machado, A. B., Secinaro, S., Calandra, D., & Lanzalonga, F. (2022). Knowledge management and digital transformation for Industry 4.0: a structured literature review. Knowledge Management Research & Practice, 1-19.

Meindl, B., Ayala, N. F., Mendonça, J., & Alejandro G. F. (2021). The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives, Technological Forecasting and Social Change, 168, 1-18.

Mendes, D. S. F. T., Navas, H. V. G., & Charrua-Santos, F. M. B. (2022). Proposal for a maintenance management system based on the lean philosophy and industry 4.0. Revista Produção e Desenvolvimento, 8(1), e587.

Meski, O., Belkadi, F., Laroche, F., & Furet, B. (2019). Towards a knowledge-based framework for digital chain monitoring within the industry 4.0 paradigm. Procedia CIRP, 84, 118-123.

Neumann, W. P., Winkelhaus, S., Grosse, E. H., & Glock, C. H. (2021). Industry 4.0 and the human factor–A systems framework and analysis methodology for successful development. International journal of production economics, 233, 107992.

Oluyisola, O.E., Bhalla, S., & Sgarbossa, F. (2022). Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study. Journal of Intelligent Manufacturing, 33, 311–332.

Popkova, E. G., & Sergi, B. S. (2020). Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia. Journal of Intellectual Capital, 21(4).

Robert, M., Giuliani, P., & Gurau, C. (2022). Implementing industry 4.0 real-time performance management systems: the case of Schneider Electric. Production Planning & Control, 33(2-3), 244-260.

Sanchéz-Castañeda, A. (2019). La cuarta revolución industrial (industria 4.0). Entre menos trabajo, nuevos empleos y una cíclica necesidad: la protección del trabajador asalariado y no asalariado. Esta obra forma parte del acervo de la Biblioteca Jurídica Virtual del Instituto de Investigaciones Jurídicas de la UNAM. Disponível em: <>. Acesso em: 27 janeiro 2022.

Schuh, G., Reuter, C., Hauptvogel, A., & Dölle, C. (2015). Hypotheses for a Theory of Production in the Context of Industrie 4.0. Advances in production technology, 30, 52-62.

Schwab, K. (2016). A quarta revolução industrial. São Paulo: Edipro.

Sima, V., Gheorghe, I. G., Subić, J., & Nancu, D. (2020). Influences of the industry 4.0 revolution on the human capital development and consumer behavior: A systematic review. Sustainability, 12(10), 4035.

Tadeu, H. F. B. (2016). Impactos da indústria 4.0. Fundação Dom Cabral: Nova Lima.

Traulsen, J. M., & Druedahl, L. C. (2018). Shifting perspectives–planning for the future of the pharmacy profession taking current labor market trends into consideration. Research in Social and Administrative Pharmacy, 14(12), 1189-1194.

Torres, M. B., Gallego-García, D., Gallego-García, S., & García-García, M. (2022). Development of a Business Assessment and Diagnosis Tool That Considers the Impact of the Human Factor during Industrial Revolutions. Sustainability, 14(2), 940.

Wamba, S. F., & Queiroz, M. M. (2022). Industry 4.0 and the supply chain digitalisation: a blockchain diffusion perspective. Production Planning & Control, 33 (2-3), 193-210.

Williamson, J., Liu, Q., Lu, F., Mohrman, W., Li, K., Dick, R., & Shang, L. (2015, January). Data sensing and analysis: Challenges for wearables. In The 20th Asia and South Pacific Design Automation Conference (pp. 136-141). IEEE.

Winkler, M., Gallego-García, S., & García-García, M. (2022). Design and Simulation of Manufacturing Organizations Based on a Novel Function-Based Concept. Applied Sciences, 12(2), 811.

Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021). Industry 4.0 and Industry 5.0: Inception, conception and perception, Journal of Manufacturing Systems, 61, 530-535.

Zhou, K., Liu, T., & Zhou, L. (2015, August). Industry 4.0: Towards future industrial opportunities and challenges. In 2015 12th International conference on fuzzy systems and knowledge discovery (FSKD) (pp. 2147-2152). IEEE.




How to Cite

Batinga, G. L., & Borges, R. C. . (2022). Ambiguities of industry 4.0: gains, efficiency, and worker tensions. Revista Produção E Desenvolvimento, 8(1), e595.



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