## 3 Research Methodology  
This section summarizes the applied Glaserian systematic mapping study (GSMS) methodology [14]. GSMS generates a theory about the results of the research work conducted [14; 19], as depicted in Figure 1. The first phase is **data collection (S1)**, which starts with collecting information about the topic of interest. The second phase is **data analysis (S2)**, where the data are analyzed using constant comparisons to develop a theory and iden \begin{table}
\begin{tabular}{c c} \hline \hline
**Glaserian** & **Straussian** \\ \hline \hline \multicolumn{3}{c}{**Open Coding**} \\ \hline Start the data analysis & The datum is broken down to a higher level of abstraction \\ \hline \hline \multicolumn{3}{c}{**Axial Coding**} \\ \hline Not used & It runs parallel to open coding \\ \hline \hline \multicolumn{3}{c}{**Selective Coding**} \\ \hline Identification of the core category & It is similar to axial coding but with a higher level of abstraction \\ \hline \hline \multicolumn{3}{c}{**Regarding Research Questions**} \\ \hline The problem is not established initially; & \\ therefore, it does not start with the research & There are research questions at the beginning \\ questions. There is only one central concern. & \\ \hline \hline \multicolumn{3}{c}{**Theoretical Sensitivity**} \\ \hline Generates concepts from the data through the process of abstraction & The process of abstraction is based on the researcher and their knowledge about the subject \\ \hline \hline \multicolumn{3}{c}{**Core Category**} \\ \hline It is the crux and the theory is developed & Selective coding provides an abstract category; \\ around it & if this does not adequately cover the GT, a new abstract category is chosen, and the cycle is repeated until reaching the core category. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Specific differences between the two GTs. Adapted from [8; 19]. tify new categories until saturation is reached. The third phase is **literature comparison (S3)**[14], where the results of the data analysis are compared with the existing literature, as shown in Figure 1.  
The terms \"phase,\" \"stage,\" and \"step\" were used similarly to the terminology used in [PERSON] paper [14]. Specifically, \"phase\" refers to the processes in GSMS, \"stage\" refers to GGT, and \"step\" refers to SMS. The **GSMS Data collection S1** phase takes the following steps from SMS: _Research Questions Definition (p1)_, _Conduct Search (p2)_, and _Screening of Papers (p3)_. **GSMS Data Analysis S2** comprises a complex grid structure using the SMS steps _Keywording (p4)_, _Mapping (p5)_, and _Synthesis (p7)_ along with GGT processes (open, selective, and theoretical Coding), conducted through iterations to obtain an appropriate abstraction level until saturation [14]. Finally, in the **comparison with the literature S3 phase**, the _Rigor and relevance assessment (p6)_ step is incorporated from SMS. GSMS consists of GGT sub-processes: open, selective, and theoretical coding are associated with outcomes concepts, categories, and propositions, respectively [2]. The concepts emerge from the data and are the basic ideas that, when related, lead to the categories [14]. Finally, the propositions take the previous concepts and categories that produce a discursive set of theoretical statements. The application of GSMS data analysis is conducted through several iterations. The beginning of the iteration uses previous iteration outcomes, a sample of which can be seen in Section 4.3 and Section 4.4. In each iteration in GSMS [14], each SMS step is described through the GGT stages, ending with the corresponding outputs for the next iteration. For the case of iteration 0, its inputs are the outcomes of the data collection stage, as presented in Section 4.3. Figure 1: GSMS methodology, adapted from Navas [14].