Learning Needs Determination for Industry 4.0 Maturity Development in Automotive Organisations in Slovakia

Abstract

<p><strong>Purpose:</strong> This paper aims to present the results of the study focused on the assessment of Industry 4.0 (I4.0) maturity level and adoption level of Quality 4.0 (Q4.0) intelligent technologies in organisations operating in the automotive industry in Slovakia (OEMs, Tier 1 and Tier 2 suppliers). The results serves as inputs for identification of learning and development needs.</p><p><strong>Methodology/Approach:</strong> The background of the study was a literature review and quantitative research. The I4.0 maturity model published by PwC (2016) was used in the study, while dimension elements were adjusted to the specifics of the automotive industry.</p><p><strong>Findings:</strong> Tier 1 and Tier 2 automotive suppliers are in the early stages of I4.0 maturity and adoption of Q4.0 intelligent technologies. OEMs achieve the level of horizontal collaborators in most of the dimensions. Q4.0 intelligent technologies are mostly adopted at an average level. Further development of OEMs to achieve the level of digital champions requires new disruptive business models and a fully integrated partner ecosystem.</p><p><strong>Research Limitation/Implication:</strong> The research is limited by the sample size and target levels of particular dimensions, related elements and Q4.0 intelligent technologies, which were not examined.</p><strong>Originality/Value of paper:</strong> The results bring more in-depth insight into the current state of I4.0 maturity and Q4.0 technology adoption level of the automotive organisations in Slovakia. There is no evidence of the study examining holistically the I4.0 maturity and Q4.0 technologies in the automotive.

Quality 4.0: literature review analysis, definition and impacts of the digital transformation process on quality

“…Leadership skill sets are one of the reported crucial aspects for the success of the Q4.0 transition. Several authors sustain that there is a need for a knowledge-oriented leadership style that promotes engagement and collaboration, the development of new capabilities and a culture of learning and innovation (Sütőová et al , 2020; Armani et al , 2021). The new era of quality requires a leadership style that combines the practice of quality management with the emerging needs of I4.0.…”

The readiness of manufacturing industries to transit to Quality 4.0

“…Some of the Q4.0 technologies which can be implemented include those that can collect real-time data, integrate QM processes and approaches (e.g. quality risk investigation and validation and product and/or service innovations), execute innovative supply chain management, remote maintenance and diagnosis, predictive QM, large data examination, advanced visualisation and remote monitoring (Sütőová et al. , 2020).…”

Una revisión de literatura sobre las estrategias tecnológicas usadas en el sector automotriz derivadas de la pandemia del COVID-19

“…La investigación existente recoge diferentes puntos de vista de autores que comparten su punto de vista en cuanto a la adopción de tecnología e innovación en la industria automotriz en China por parte de Ali (2021), en Eslovaquia Sütőová et al (2020), en México González (2021), en Indonesia Hidayatno et al (2019), por mencionar algunos.…”

“…Por otra parte, se realizó bajo una revisión de literatura, una investigación cuantitativa con el uso del modelo de madurez I4.0 de acuerdo a PwC, los resultados permitieron conocer que los proveedores automotrices del nivel 1 y 2 se encuentran en la etapa inicial de madurez I4.0 y adopción de tecnologías inteligentes Q4.0. En cuanto mayor desarrollo de los OEM para alcanzar el nivel máximo de digitalización requiere nuevos modelos comerciales disruptivos (Sütőová et al, 2020).…”