Diego Rorato Fogaça1,2,3, Mercedes Grijalvo1, and Mario Sacomano Neto2
Diego Rorato Fogaça1,2,3, Mercedes Grijalvo1, and Mario Sacomano Neto2
1 Universidad Politécnica de Madrid (UPM), Madrid, Spain
2 Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil
3 Federal University of Mato Grosso do Sul (UFMS), Campo Grande, MS, Brazil
Keywords: Industry 4.0, Digitalization, Institutional Theory
1. Introduction
The term “Industry 4.0” is becoming increasingly common to refer to the fourth industrial revolution. It is based on complex digital systems that, when integrated into networks and automated processes, bring together physical and virtual objects which support an even more flexible and customized industrial mass production [1]. It offers opportunities and promotes changes in markets, business models, supply chains, and in the world of work. Some authors discuss the Industry 4.0 is a discourse to institutionalize innovation in manufacturing systems [2] or a project to ensure Germany’s leadership in high-quality industrial production and exports [3]. In other words, there are relevant institutional issues in the origins and dissemination of Industry 4.0. An institutional perspective can therefore bring valuable insights to the phenomenon. The paper aims to investigate how and to what extent the institutional theory has been used to understand Industry 4.0. For this, a systematic literature review (SRL) is performed.
2. Methods
The SLR’s objective was to find articles that simultaneously addressed the concepts of “Industry 4.0” and “Institutional Theory”. The application of selection criteria resulted in the selection of 19 articles, which were fully read. Since few documents were located, the search was expanded to include the concept of “digital transformation” that is connected but is broader than the definition of Industry 4.0. The software IRAMUTEQ was utilized to analyze the articles’ abstracts.
We used two multivariate techniques. The Descending Hierarchical Classification (DHC) displays stable word classes with a vocabulary similar to each other and different from other classes. The Correspondence Factor Analysis (CFA) shows the association and opposition between words or texts (Fig. 1). Such techniques reduce a large number of observed variables to a small number of factors. The factors represent the latent constructs that explain the set of observed variables.
3. Results
From the 64 abstracts (19 related to Industry 4.0 and 45 related to digitalization), the DHC generated three thematic classes identified as Industry 4.0 (blue), digitization in the public sector (green) and process of change related to digitization (red). To generate Fig. 1 showing the CFA, each of the abstracts was classified according to its theme (Industry 4.0 or digital transformation), the research method used and the underlying institutional theory.
The horizontal axis clearly distinguishes Industry 4.0 from digitalization (in red and green). Industry 4.0 is associated with institutional isomorphism and the survey method. Dig