Modeling the impact of industry 4.0 base technologies on the development of organizational learning capabilities

Tortorella, Guilherme Luz; Fogliatto, Flavio S.; Anzanello, Michel J.; Cawley Vergara, Alejandro Mac; Vassolo, Roberto; Garza-Reyes, Jose Arturo

Abstract

In this paper, we examine the impact of adopting Industry 4.0 (I4.0) base technologies on the development of seven learning dimensions used as proxies for organization learning capabilities. We conducted a grounded theory approach in which 129 practitioners from different manufacturing companies were surveyed, and their responses analyzed through multivariate techniques. Findings allowed us to raise a theoretical framework for explaining learning development in organizations undergoing I4.0 adoption. We identified three clusters of adopters: (i) beginners, (ii) in-transition, and (iii) advanced. We found an ascending learning trend in clusters (i) and (iii) and a stationary learning pattern in (ii). Our study advances the understanding of how learning capabilities are affected as organizations advance I4.0 adoption. Our findings also gauge expectations regarding the effects of I4.0 base technologies' adoption on learning capabilities, helping academics and practitioners anticipate potential issues and develop countermeasures accordingly.

Más información

Título según WOS: ID WOS:000877989200001 Not found in local WOS DB
Título de la Revista: OPERATIONS MANAGEMENT RESEARCH
Editorial: Springer
Fecha de publicación: 2022
DOI:

10.1007/s12063-022-00329-w

Notas: ISI