The relationship between Ikujiro Nonaka's knowledge spiral and the six industry principles 4.0 in the context of digital transformation

Authors

DOI:

https://doi.org/10.20397/2177-6652/2021.v21i4.2145

Keywords:

Digital Transformation, Industry 4.0, Knowledge Management. Ikujiro Nonaka. Strategic System.

Abstract

Purpose: The 4.0 industry is the current trend in automation and data exchange in organizations. However, to date, there is no common, generic understanding in terms of evaluation, but it is necessary to understand the main principles of Industry 4.0 and the manufacturing processes for organizations. This theoretical paper proposes a study of the relationship between Nonaka's spiral from its dimensions with the six industry 4.0 Design Principles in the context of digital transformation.

Design/methodology/approach: This research used inductive method, exploratory and descriptive research, and a bibliographic research was carried out, besides a qualitative research as field research. However, the systematic literature review methodology (SLR) of Tranfield et al. (2003) was used to ensure the replicability and transparency of the study review process.

Findings: The industrial phenomenon 4.0 that Schwab (2016) and Burke et al. (2017), called the Fourth Industrial Revolution, was guided by six design principles theorized by Hermann, Pentek and Otto (2015). As a result, a proposal for mapping organizational knowledge was presented, in the context of digitization considering the five dimensions of the knowledge spiral and the six principles of industry 4.0, which can help managers of technologies and organizational strategies in decision making. For future studies, it would be indicated the development of a study that investigates the relationship between the five dimensions of the spiral of Nonaka and its impact on management practices in companies that are in the process of digital transformation.

Originality/value: With the advances in technology and the advances of the industrial revolutions, the profile of professionals and the relationship between employees and companies were changed, a fact demonstrated in the field research, making it possible to highlight: the degree of knowledge of managers on the subject, means, the perception of what Industry 4.0 is; how organizations are already adapting to the new industrial revolution; the main challenges for this adjustment; the relevance for customers and opponents; among other findings. Ikujiro Nonaka's knowledge spiral has been an elementary theoretical basis for understanding the creation and flow of knowledge in a two-dimensional structure. Since its publication, Nonaka's model has been criticized for its viability and usability in day-to-day business. One of the criticisms is the nature of the knowledge (power, density and speed) that circulates in the organization. Another criticism is in relation to its life cycle (creation, organization, formalization, sharing and application). However, in the current context of digital transformation the emergence of industry 4.0 through digitization and digitalization the flow of intraorganizational knowledge offers a strong relationship with virtualized data exchanges.

Author Biographies

Daniel de Souza Silva Junior, ESAG-UDESC/Mestrado em Administração FAPESC/Bolsista

Graduação em Administração pela Faculdade AVANTIS. Especialização em Gestão Pública Municipal pelo IFSC. Mestrando em Administração pela ESAG-UDESC.

Ruan Carlos dos Santos, Centro Universitário UNIAVAN (Avantis)/ Professor Ecole Nationale D'Administration (ENA-Brasil)/Professor e Docente Credenciado Universidade do Vale do Itajaí (UNIVALI)/Doutorando em Administração

Bacharel em Filosofia pela Universidade do Sul de Santa Catarina (2006). Licenciatura Plena em Filosofia e Ciências Sociais pela Faculdade Entre Rios do Piauí - FAERPI (2018). Bacharelando em Teologia pela Faculdade Católica de Santa Catarina Católica - FACASC/ITESC (2008). Especialização e MBA em Gestão Estratégica Empresarial pela Faculdade Porto das Águas - FAPAG (2012). Especialização em Metodologia de ensino de Filosofia e Sociologia pela Faculdade de Administração, Ciências, Educação e Letras - FACEL (2018). MBA em Governança Corporativa pela UnIBF (2019). Especialização em Auditoria e Perícia Contabil pela UnIBF (2020). Especialização em Administração, Supervisão e Coordenação Escolar pela UniBF (2020). Bacharel em Administração pela UniFCV (20212). Mestrado em Administração - UNIVALI (2015-2017). Doutorando em Administração pela UIVALI. Participante do Grupo de Pesquisa - GEEP - Grupo de Estudos sobre Estratégia e Performance - liderado pela Profª. Dra. Rosilene Marcon. Professor no Ensino Médio na SED-SC nas disciplinas de Filosofia. Professor e Tutor na UniAvan no Curso de Tecnologia em Gestão Financeira. Consultor/docente credenciado na ENA (Ecole Nationale D'Administration - Brasil).

Jucineia de Jesus Ferreira Souza, UDESC/Graduação em Administração Pública

Graduação em Logística pela Pontifícia Universidade Católica de Minas Gerais, PUC Minas. Graduação em andamento em Administração Pública pela Universidade do Estado de Santa Catarina, UDESC,

References

Bauernhansl, T., Hompel, M. T., & Heuser, B. V. (2014) Industrie 4.0 in Produktion, Automatisierung und Logistik. Springer Vieweg: Munique, 2014.

Bordeleau, F., Mosconi, E., & Santa-Eulalia, L. A. de. (2019). Business intelligence and analytics value creation in Industry 4.0: a multiple case study in manufacturing medium enterprises. Production Planning & Control, v. 30. Doi: 10.1080/09537287.2019.1631458

Bratianu, C. (2010). A Critical Analysis of Nonaka’s Model of Knowledge Dynamics. Electronic Journal of Knowledge Management, v. 8 n. 2, p.193 – 200.

Brecher, C., Behnen, D., Brumm, M., Carl, C.; Ecker, C., Herfs, W., Klement, R., Königs, M., Komma, T.; Lohse, W., Malik, A., Müller, S., & Özdemir, D. (2014). Virtualisierung und Vernetzung in Produktions systemen. In: Brecher, C. Integrative Produktion: Industrie 4.0. Aachener Perspektiven. Tagungsb and Aachener Werkzeugmaschinen kolloquium AWK, 22. bis 23. Mai 2014, Aachen: Shaker.

Burke, R., Mussomeli, A., Laaper, S., Hartigan, M., & Sniderman, B. (2017). The Smart Factory: Responsive, Adaptive, connected manufacturing. Deloitte University Press.

Cheng, C., Guelfirat, T., Messinger, C., Schmitt, J., Schnelte, M., & Weber, P. (2015). Semantic Degrees for Industrie 4.0: Deciding on the degree of semantic formalization to select appropriate Technologies. ABB Corporate Research, v. 15, n. 6, pp. 128-139.

Cohen, W. M., & Levinthal, D. A. (1990). Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly, Technology, Organizations, and Innovation, v.35, n.1, Mar., p.128-152.

Cruzara, G., Sandri, E., Cherobim, A., & Frega, J. (2021). The value at the industry 4.0 and the digital transformation process: evidence from Brazilian small enterprises. Revista Gestão & Tecnologia, 21(1), 117-141.

Diogo, R. A., Kolbe Junior, A., & Santos, N. (2019). A transformação digital e a gestão do conhecimento: contribuições para a melhoria dos processos produtivos e organizacionais. P2P E INOVAÇÃO, v. 5, n. 2, p. 154-175, mar.

Feng, S. C., Bernstein, W. Z., Hedberg, T., & Feeney, A. B. (2017). Towards Knowledge Management for Smart Manufacturing, ASME Journal of Computing and Information Science in Engineering, 17(3), p. 03-16.

Filipov, V., & Vasilev, P. (2016). Manufacturing Operations Management - The smart backbone of industry 4.0. In: Scientific Proceedings and International Scientific Conference "Industry 4.0", XXIV, Vol. 1, p. 71-76.

Gašová, M., Gašo, M., & Štefánik, A. (2017). Advanced Industrial Tools of Ergonomics Based on Industry 4.0 Concept. Procedia engineering, v. 192, p. 219-224.

Goldman, F. L. (2017). Revisando Nonaka e Takeuchi: a inovação vista como criação de conhecimento organizacional. Revista de Ciência, tecnologia e inovação, n.2, abr.

Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, Vol. 29, n. 6, pp. 910-936, 2018. Doi: 10.1108/JMTM-02-2018-0057.

Habib, M. K., & Chimsom, C. I. (2019). Industry 4.0: Sustainability and design principles. In: 20th International Conference on Research and Education in Mechatronics, Wels: Austria. Doi: 10.1109/REM.2019.8744120

Hendriks, P. (1999). Why Share Knowledge? The Influence of ICT on the Motivation for Knowledge Sharing. Knowledge and Process Management, v.6, n.2 p 91–100.

Hermann, M., Pentek, T., & Otto, B. (2016). Design Principles for Industrie 4.0 Scenarios. In: 49 th Hawaii International Conference on System Sciences (HICSS), Koloa, HI, 2016, pp. 3928-3937. Doi: 10.1109/HICSS.2016.488.

Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, v.3, n.57, pp. 829-846.

Jannuzzi, C. S. C., Falsarella, O. M., & Sugahara, C. R. (2016). Gestão do conhecimento: um estudo de modelos e sua relação com a inovação nas organizações. Perspectivas em Ciência da Informação, v. 21, p. 97-118.

Kamp, B., Ochoa, A., & Diaz, J. (2017). Smart servitization within the context of industrial user supplier relationships: contingencies according to a machine tool manufacturer. International Journal on Interactive Design and Manufacturing (IJIDeM), v. 11, n. 3, p. 651-663.

Kotynkova, M. (2017). Re-Industrialization of Europe: Industry 4.0 and the Future of Work. European Scientific Journal, v. 7881, n. April, p. 249–256.

Kroll, H., Horvat, D., & Jäger, A. (2018). Effects of Automatisation and Digitalisation on Manufacturing Companies' Production Efficiency and Innovation Performance. Fraunhofer ISI Discussion Papers Innovation Systems and Policy Analysis, n.58, Feb., Karlsruhe.

Kusiak, A. (2018). Smart Manufacturing. International Journal of Production Research, v. 56, n. 1–2, 508–517, jan.

Laugsand, E. E. (2017). Industry 4.0: New Technologies and Potential for Increased Value Creation. Norwegian University of Science and Technology. Available at <https://pdfs.semanticscholar.org/2955/935c9d8e2b81d559504c4fd2a51597c57c3d.pdf> accessed at 01 abr. 2020.

Lotti Oliva, F. (2014). Knowledge management barriers, practices and maturity model. Journal of Knowledge Management, v. 18, n. 6, p. 1053–1074.

Lu, Y. (2017) Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, v. 6, p. 1–10, 2017.

Lin, Y., Ieromonachou, P., & Sun, W. (2016). Smart Manufacturing and Supply Chain Management. Business School, Londres: University of Greenwich.

Madsen, D. O. (2019). The Emergence and Rise of Industry 4.0 Viewed through the Lens of Management Fashion Theory. Adm. Sci., n.9, v.3. Doi: 10.3390/admsci9030071

Marques, M., Agostinho, C., Zacharewicz, G., & Goncalves, R. (2017). Decentralized decision support for intelligent manufacturing in Industry. JAISE - Journal of Ambient Intelligence and Smart Environments, IOS Press, v. 9, n. 3, p. 299-313.

Mittal, S., Khan, M.A., Romero, D., Wuest, T. (2019). Smart manufacturing: Characteristics, technologies and enabling factors. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, v. 233, n.5, pp. 1342-1361.

Mohajan, H. (2017). The Impact of Knowledge Management Models for the Development of Organizations. Journal of Environmental Treatment Techniques, v. 5, n. 1, p. 12-33.

Morais, R., & Monteiro, R. (2019). An Assay On The Impact of Industry 4.0 in The Operations Area. International Journal of Professional Business Review, 4(2), 43-50. Doi: 10.26668/businessreview/2019.v4i2.134.

Muller, J. M., Buliga, O., & Voigt, K. (2020). The role of absorptive capacity and innovation strategy in the design of industry 4.0 business Models-A comparison between SMEs and large enterprises, European Management Journal, 2020. Doi: 10.1016/j.emj.2020.01.002.

Nadae, J., & Monteiro de Carvalho, M. (2017). A knowledge management perspective of the project management office. Brazilian Journal of Operations & Production Management, 14(3), 350-362.

Nissen, M. (2014). Marine Forces Reserve: accelerating knowledge flow through asynchronous learning technologies. Dudley Knox Library. Monterey. Available at < https://core.ac.uk/download/pdf/36736837.pdf> accessed at 15 de abr. 2020.

Nonaka, I., Toyama, R., & Konno, N. (2000). SECI, Ba and leadership: a unified model of dynamic knowledge creation. Long range planning, v. 33, n. 1, p. 5-34.

Nonaka, I., & Toyama, R. (2003). The knowledge-creating theory revisited: knowledge creation as a synthesizing process. Knowledge management research & practice, v. 1, n. 1, p. 2-10.

Nonaka, I. (2007). The Knownledge-Creating Company. Harvard Business Review, jul-aug.

Nonaka, I., Von Krogh, G., & Voelpel, S. (2006). Organizational Knowledge Creation Theory: Evolutionary Paths and Future Advances. Organization Studies, 27(8), p. 1179–1208. Doi: 10.1177/0170840606066312

Nonaka, I., & Takeuchi, H. Gestão do conhecimento. Trad. Ana Thorell. Porto Alegre: Bookman, 2008.

Nonaka, I., & Toyama, R. (2003). The knowledge-creating theory revisited: knowledge creation as a synthesizing process. Knowledge Management Research & Practice, n.1, p.2-10.

North, K., & Kumta, G. (2018). Knowledge Management: value Creation Through Organizational Learning. 7. ed. Suíças: Springer.

Nowacki, R., & Bachnik, K. (2016). Innovations within knowledge management. Journal of Business Research, Vol. 69, pp. 1577-1581.

Nuvolari, A. (2004). The Making of Steam Power Technology: A study of Technology Change the British Industrial Revolution. Doctoral Thesis. Eindhoven: Technische Universiteit Eindhoven, Inglaterra, UK.

Odenbach, J., Göll, E., & Behrendt, S. (2017). ARBEITSPAPIER: Industrie 4.0 – digital-vernetzte dezentrale Produktion. Berlin: IZT - Institut für Zukunftsstudien und Technologiebewertung gemeinnützige GmbH.

Oesterreich, T. D., & Teuteberg, F. (2016). Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in Industry, 83, 121–139. Doi: 10.1016/j.compind.2016.09.006.

Oztemel, E., & Gursev, S. (2018). Literature review of Industry 4.0 and related Technologies. Journal of Intelligent Manufacturing, v.31 (3), p.127-182. Doi: 10.1007/s10845-018-1433-8.

Peters, M. A. (2016). Technological unemployment: Educating for the fourth industrial Revolution. Educational Philosophy and Theory, n. 49, v.1, 2016. Doi: 10.1080/00131857.2016.1177412

Philipson, S., & Kjellström, E. (2020). When objects are talking: How tacit knowing becomes explicit knowledge. Journal of Small Business Strategy, v. 30, n.1, p. 68-82.

Rezende, J. F., Pereira, R. D., & Oliveira, D. A. (2016). Plataformas para gestão do conhecimento: estudo de caso sobre a ativação do valor de excedentes cognitivos por meio do desenvolvimento de um contexto capacitante virtual. Perspectivas em Gestão & Conhecimento, v. 6, n. 1, p. 72-88.

Roblek, V., Mesko, M., & Krapez, A. (2016). A Complex View of Industry 4.0. Sage Journals, v.6, n.2,

Sabeti, M., Hashemzadeh, G., Gelard, P., & Rabiei, M. (2020). Designing a knowledge based technology transfer model using the fourth generation approach in the automotive industry. Revista Gestão & Tecnologia, 20, 106-125.

Santos, I. L. dos, Santos, R. C. dos, Silva Junior, D. de S. (2019). Análise da Indústria 4.0 como Elemento Rompedor na Administração de Produção. Future Studies Research Journal - Future, v. 11, p. 48-64.

Schniederjans, D. G., Curado, C., & Khalajhedayati, M. (2020). Supply chain digitisation trends: An integration of knowledge management. International Journal of Production Economics, v. 220.

Schrauf, S., & Berttram, P. (2016). Industry 4.0: How digitization makes the supply chain more efficient, agile, and customer-focused. Strategyand PWC.

Schwab, K. (2016). The Fourth Industrial Revolution: what it means, how to respond. Published in < https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution> accessed in 20 jan. 2020.

Silva Junior, D., Santos, R., & Santos, I. (2020). Industry Innovations 4.0 Process Management in the Provision of Services in the Construction Industry. Future Studies Research Journal: Trends and Strategies, 12(3). Doi: https://doi.org/10.24023/FutureJournal/2175-5825/2020.v12i3.500

Silveira Gontijo, T., & Motta Alves, F. (2019). A Bibliometric study on Industry 4.0. International Journal of Professional Business Review, 4(2), 35-42. Doi: 10.26668/businessreview/2019.v4i2.112.

Synnes, E. L., & Welo, T. (2016). Enhancing Integrative Capabilities through Lean Product and Process Development. Procedia CIRP, v. 54, p. 221-226.

Stocker, A. et al. (2014). Mensch-zentrierte IKT-Lösungen in einer Smart Factory. Elektrotechnik und Informationstechnik, v. 131, n. 7, p. 207-211.

Spath, D., Ganschar, O., Gerlach, S., Hämmerle, M., Krause, T., & Schlund, S. (2013). Produktionsarbeit der Zukunft – Industrie 4.0. Zurick: FRAUNHOF IAO.

Thoben, K., Wiesner, S., & Wuest, T. (2017). Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples. International Journal of Automation Technology. v.11, n.1. jan.

Tsoukas, H. (2002). Introduction: Knowledge-Based Perspectives on Organizations: Situated Knowledge, Novelty, and Communities of Practice. Management learning, v.33, n.4, p.419-426.

Wang, L., & Wang, G. (2016). Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0. I.J. Engineering and Manufacturing, v.4, jul., p.1-8, 2016.

WORLD ECONOMIC FORUM – WEF. (2017). System Initiative on shaping the Future of Production: Impact of the Fourth Industrial Revolution on Supply Chains. EUA: WEF.

WORLD ECONOMIC FORUM – WEF. (2019). Fourth Industrial Revolution Beacons of Technology and Innovation in Manufacturing. EUA: WEF.

Yao, X., Zhou, J., Zhang, J., & Boer, C. R. (2017). From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven by Next Generation Artificial Intelligence and Further On. In: 5th Internacional Conference on Enterprise Systems, set., p.311-318.

Xu, M., David, J. M., & Kim, S. H. (2018). The Fourth Industrial Revolution: Opportunities and Challenges. International Journal of Financial Research, v.9, n. 2. Doi: 10.5430/ijfr.v9n2p90

Zuehlke, D. (2010). Smart Factory-Towards a factory-of-things. Annual Reviews in Control, v.34, n.1, p. 129-138, 2010. DOI:10.1016/j.arcontrol.2010.02.008.

Downloads

Published

2021-12-22

How to Cite

Silva Junior, D. de S., Santos, R. C. dos, & Souza, J. de J. F. (2021). The relationship between Ikujiro Nonaka’s knowledge spiral and the six industry principles 4.0 in the context of digital transformation. Journal of Management & Technology, 21(4), 135–161. https://doi.org/10.20397/2177-6652/2021.v21i4.2145

Issue

Vol. 21 No. 4 (2021): Outubro/Dezembro

Section

ARTIGO

License

Copyright (c) 2021 Journal of Management & Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms: • 1. The author(s) authorize the publication of the article in the journal. • 2. The author(s) ensure that the contribution is original and unpublished and is not being evaluated in other journal(s). • 3. The journal is not responsible for the opinions, ideas and concepts expressed in the texts because they are the sole responsibility of the author(s). • 4. The publishers reserve the right to make adjustments and textual adaptation to the norms of APA. • 5. Authors retain copyright and grant the journal right of first publication, with the work [SPECIFY PERIOD OF TIME] after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. • 6. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. • 7. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access) at http://opcit.eprints.org/oacitation-biblio.html