Abstract
The technologies that make up the Industry 4.0 umbrella provide organizations with efficiency and flexibility, but without alignment with organizational strategies, below-average results can be achieved in comparison with the market. In order to avoid this failure, investments in I4.0 must support current or explore new business strategies. The present work aims to analyze how eleven companies located in Brazil can be typified in technological transformation alignment perspective by model of Henderson and Venkatraman. The eleven companies are large companies with consolidated initiatives to implement Industry 4.0. In the findings, it was possible to identify that the dominant adequacy to the strategic alignment model remains valid, despite the enabling technologies of Industry 4.0 to be recent. It is also highlighted the degree of concern about the type of strategic alignment chosen by these companies, which results in a temporary competitive advantage, as it allows imitation by other competing companies by not creating value in the customers’ view.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Tyas, W.P., Hutama, J.K.P.: Strategy and innovation of home based enterprises for local development in the 4.0 era: a bibliographic study. In: IOP Conference Series Earth Environment Science, vol. 673, no. 1, pp. 0–14 (2021)
Kamble, S.S., et al.: Smart manufacturing process and system automation–a critical review of the standards and envisioned scenarios. J. Manuf. Syst. 56(4), 312–325 (2020)
Cordeiro, G.A., Ordóñez, R.E.C., Ferro, R.: Theoretical proposal of steps for the implementation of the Industry 4.0 concept. Brazilian J. Oper. Prod. Manag. 16(2), 166–179 (2019)
Hitt, M.A., Ireland, R.D., Hoskisson, R.E.: Administração Estratégica. Cengage Learning Edições (2008)
Henderson, J.C., Venkatraman, H.: Strategic alignment: leveraging information technology for transforming organizations. IBM Syst. J. 38(2.3), 472–484 (1993)
Fernandes, A.A., Abreu, V.F.: implantando a governança de TI: da estratégia à Gestão dos Processos e Serviços. BRASPORT, Rio de Janeito (2014)
Gadekar, R., Sarkar, B., Gadekar, A.: Assessment of key success factors for Industry 4.0 implementation in manufacturing industry using EDAS. Int. J. Innov. Eng. Sci. 6(1), 1–11 (2021)
Nosalska, K., Piątek, Z.M., Mazurek, G., Rzadca, R.: Industry 4.0: coherent definition framework with technological and organizational interdependencies. J. Manuf. Technol. Manag. 31(5), 837–862 (2019)
Lee, C.K.M., Lin, B.B., Ng, K.K.H., Lv, Y.Q., Tai, W.C.: Smart robotic mobile fulfillment system with dynamic conflict-free strategies considering cyber-physical integration. Adv. Eng. Inf. 42, 100998 (2019)
Culot, G., Orzes, G., Sartor, M., Nassimbeni, G.: The future of manufacturing: a delphi-based scenario analysis on Industry 4.0. Technol. Forecast. Soc. Change 157, 120092 (2020)
El Zant, C., Benfriha, K., Loubère, S., Aoussat, A., Adjoul, O.: A design methodology for modular processes orchestration. CIRP J. Manuf. Sci. Technol. 35, 106–117 (2021)
Zheng, T., Ardolino, M., Bacchetti, A., Perona, M.: The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review. Int. J. Prod. Res. 59(6), 1922–1954 (2021)
Mitropoulos, S.: An integrated model for formulation, alignment, execution and evaluation of business and IT strategies. Int. J. Bus. Syst. Res. 15(1), 90–111 (2021)
Karpovsky, A., Galliers, R.D.: Aligning in practice: from current cases to a new agenda. J. Inf. Technol. 30(2), 136–160 (2015)
Ullah, A., Lai, R.: A systematic review of business and information technology alignment. ACM Trans. Manag. Inf. Syst. 4(1), 1–30 (2013)
Ghobakhloo, M., Fathi, M.: Corporate survival in Industry 4.0 era: the enabling role of lean-digitized manufacturing. J. Manuf. Technol. Manag. 31(1), 1–30 (2020). https://doi.org/10.1108/JMTM-11-2018-0417
Gajsek, B., Marolt, J., Rupnik, B., Lerher, T., Sternad, M.: Using maturity model and discrete-event simulation for Industry 4.0 implementation. Int. J. Simul. Model. 18(3), 488–499 (2019)
Lang, S., Reggelin, T., Jobran, M., Hofmann, W.: Towards a modular, decentralized and digital Industry 4.0 learning factory, pp. 123–128 (2018)
Ribeiro, P.P., de M. Lopes, C., Correia, A.M.: Avaliação da gestão de estoque em uma microempresa de autopeças utilizando a curva abc como ferramenta de apoio. Rev. CEREUS 12(2), 130–145 (2020)
Hoffmann Souza, M.L., da Costa, C.A., de Oliveira Ramos, G., da Rosa Righi, R.: A survey on decision-making based on system reliability in the context of Industry 4.0. J. Manuf. Syst. 56, 133–156 (2020)
Belinski, R., Peixe, A.M.M., Frederico, G.F., Garza-Reyes, J.A.: Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda. Benchmarking 27(8), 2435–2457 (2020)
Kamble, S.S., Gunasekaran, A., Sharma, R.: Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry. Comput. Ind. 101, 107–119 (2018)
Espinola, A.J.C., da Si. Diniz, R., de Oliveira, G.F.: Níveis De Ocupação No Brasil Com a Indústria 4.0: Desafio Ou Caos? Rev. FATEC SEBRAE EM DEBATE Gestão, Tecnol. e Negócios 07(11), 41 (2020)
Pacchini, A.P.T., Lucato, W.C., Facchini, F., Mummolo, G.: The degree of readiness for the implementation of Industry 4.0. Comput. Ind. 113, 103125 (2019)
Stebbins, R.A.: Exploratory Research in the Social Sciences: Qualitative Reserach Methods Series, vol. 48. Sage University Paper, Thousand Oaks (2001)
Pereira, G.B., Nogueira, G.C., Oliveira, G.F.: Maturity in Industry 4.0: study in eleven companies located in greater São (2021)
Buchi, G., Cugno, M., Castagnoli, R.: Smart factory performance and Industry 4.0. Technol. Forecast. Soc. Change 150, 119790 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 IFIP International Federation for Information Processing
About this paper
Cite this paper
de Oliveira, G.F., Gonçalves, R.F., Laurindo, F.J.B. (2022). Strategic Alignment and Industry 4.0: An Exploratory Study with Eleven Companies. In: Kim, D.Y., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, vol 663. Springer, Cham. https://doi.org/10.1007/978-3-031-16407-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-031-16407-1_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-16406-4
Online ISBN: 978-3-031-16407-1
eBook Packages: Computer ScienceComputer Science (R0)
