## 3 Materials and Methods  
In this study, the objective of the systematic literature review was to build a bibliographic portfolio to identify the dimensions and digital risks arising from the implementation of Industry 4.0 (TMR-I4.0). To assist in this process, the Methodi Ordinatio (InOrdinatio) was chosen and proposed by [PERSON], [PERSON], and [PERSON] [104; 105]. For the authors, Methodi Ordinatio consists of systematizing and ordering articles, allowing for selection and classification according to the degree of relevance. Methodi is composed of three indicators: the impact factor of the journal in which the article was published, the number of citations the article has (usually obtained from Google Scholar), and the year of publication of the article. Based on these indicators, it is possible to classify articles by their relevance. Methodi consists of 9 steps, as presented in Figure 3, which not only represents the steps of Methodi but also presents the sequence and some actions of the Systematic Literature Analysis. The research was motivated by the need to build a bibliographic portfolio of articles to support the categorization of digital risks arising from Industry 4.0 (TMR-I4.0). As a result, the themes researched in this study were Industry 4.0 and Digital Risks. A random search was conducted in the SCOPUS (SC) and WEB OF SCIENCE (WoS) databases, which were considered to include relevant articles and to be one of the most important databases for Production Engineering. The keywords used in this stage were \"Industry 4.0\" and 'Risk\". The preliminary search in the databases was conducted in April 2023. The objective of Table 3 is to present the result of the preliminary search conducted in the databases. It can be observed from the table that the preliminary search returned 849 articles from SCOPUS and 763 from WEB OF SCIENCE, totaling 1612 articles. From the preliminary research, it was necessary to define the research axes and keywords to be considered in the definitive search. To do this, the keywords found in the articles located in the previous stage were analyzed. Table 4 presents the research axes used, as well as their variations. According to Table 4, the research axes were defined as \"Industry 4.0\" AND Risk AND Impact. Additionally, some variations of the research axes were used, such as Axis 1--(\"Industry 4.0\" OR \"Industrie 4.0\" OR \"Fourth Industrial Revolution\" OR \"4 th Industrial Revolution\" OR \"Smart Manufacturing\" OR \"Supply Chain 4.0\" OR \"Advanced Manufacturing\") AND Axis 2--(Risk OR Uncertainty OR Challenge OR \"Risk Analysis\") AND Axis 3--Impact\". To improve searches in the databases and return articles that are truly pertinent to the defined axes, boolean operators (OR and AND) were used, which helped in forming two sets of keywords (referred to as Queries). These Queries were used for the definitive searches in the databases. It is worth noting that the asterisk (*) was used in keywords and combinations as a wildcard term, allowing for searches of word variations, thereby yielding a greater number of results for the research. Figure 3: Sequence of Systematic Literature Analysis using Methodi Ordinatio. Adapted from [105]. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Keyword Combination** & **Scopus** & **Web of Science** & **Total** \\ \hline “Industry 4.0” and Risk* & 849 & 763 & 1612 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Preliminary Search Results in the Databases. The chosen databases were SCOPUS (SC), WEB OF SCIENCE (WoS), and SCIENCE DIRECT (SD). These databases were selected to contain relevant articles for the theme and to be the most important for Production Engineering. Furthermore, the choice of these databases was motivated by the fact that SCOPUS (SC) and WEB OF SCIENCE (WoS) encompass many other databases within their platforms, even though they are from different publishers. SCOPUS (SC), for example, belongs to Elsevier but also includes journals from other publishers.