Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers

By Guilherme Luz Tortorella, Alejandro Mac Cawley Vergara, J. Garza‐Reyes, Rapinder Sawhney. International Journal of Production Economics, 2020

315 citations recorded by the source corpus.

Abstract This article aims at examining the mediating role played by Organizational Learning (OL) capabilities at different contextualization levels on the association between Industry 4.0 (I4.0) technologies and operational performance. For that, we gathered information from 135 firms that have initiated their digital transformation towards the fourth industrial revolution era. Data was analyzed by means of multivariate data techniques. Our results show that learning capabilities at an organization level positively mediate the impact of I4.0 for achieving higher operational performance levels. However, OL at a team and individual level may not present a significant effect on such mediation. As I4.0 is claimed to facilitate a faster and more efficient identification and solution of manufacturing problems, our research provides empirical evidence to indicate that companies that systematically foster learning and knowledge sharing at an organization level can obtain greater benefits from I4.0 technologies adoption.

Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/61505381daf82dd7e3b6c0f3c43ebdf04af0fdf6

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Citations in the corpus

Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations (2020, background): “The future of supply chain digitization will be driven by big data predictive analytics capability, powered by artificial intelligence (O’Leary, 2013; Loebbecke and Picot, 2015; Zhong et al., 2016; Kusiak, 2018; Ivanov et al., 2016, 2019b; Baryannis et al., 2019; Tortorella et al. 2020).”
A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation (2020, methodology): “Tortorella et al. (2020) identified that emerging technologies lead to an improvement in the quality of the products and customer service level satisfaction, thereby increasing the overall efficiency of the organization.”