Organizational Learning in Industry 4.0

Abstract

Globalisation and the scarcity of resources have contributed to the need to implement and meet higher customer expectations while reducing the number of employees, the workload, and resource depletion. This situation initiated Industry 4.0, the foundation of which is the implementation and dissemination of modern technologies related to process autonomization, artificial intelligence, and the Internet of Things. They are to contribute to improvements in terms of increased efficiency, decision-making, as well as the creation and maintaining of competitive advantage. Changes in the field of robotics, artificial intelligence, and automation technologies indicate that with the growth of their importance and implementation in organisations, changes need to be introduced in the management of organisations, particularly in the context of organisational processes that form the basis for making knowledge-based decisions. This article’s aim is to identify the meaning of organisational learning for Industry 4.0 implementation. For the purpose of the article, a literature analysis was carried out using the method of systematic literature review. A model on organizational learning within the Industry 4.0 was proposed. The results of analyses show that organisational learning is strictly related to Industry 4.0, as it stimulates the development, acquisition, transformation, and use of new knowledge, which is, in turn, crucial for the implementation of Industry 4.0. The article also proposes guidelines for management practitioners who may consider the introduction of Industry 4.0 tools into work as a challenge. JEL: O10, O30 null The creation of the English-language version of these publications is fi nanced in the framework of contract No. 607/P-DUN/2018 by the Ministry of Science and Higher Education committed to activities aimed at the promotion of education.