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

被引:0
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作者
Guilherme Luz Tortorella
Flavio S. Fogliatto
Michel J. Anzanello
Alejandro Mac Cawley Vergara
Roberto Vassolo
Jose Arturo Garza-Reyes
机构
[1] The University of Melbourne,IAE Business School
[2] Universidad Austral,undefined
[3] Universidade Federal de Santa Catarina,undefined
[4] Universidade Federal do Rio Grande do Sul,undefined
[5] Pontifícia Universidade Católica,undefined
[6] University of Derby,undefined
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关键词
Industry 4.0; Organizational learning; Learning profiles; I4.0 base technologies; Empirical study;
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摘要
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.
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页码:1091 / 1104
页数:13
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