# Trends and Recommendations for Enhancing Maturity Models in Supply Chain Management and Logistics
## 3 Results
### Bibliometric Results  
The analysis of the temporal distribution of publications on MMs for SCML reveals that their application in these fields gained traction in the 2000s [62]. Therefore, the time series analysis conducted in the research paper covers the period from 2001 to 2023. Figure 2 depicts the publication trend, showing that the topic remained relatively inconspicuous until 2015, after which, as a matter of fact, a noticeable growth was observed. The peak year was 2021, with a total of 24 papers (18 articles, five conference papers, and one review) published. It is possible to state that although this topic is particularly recent, there is a growing interest in the scientific community for potential academic and practical contributions. The literature search focused on a specific niche application of MMs, namely \begin{table}
\begin{tabular}{c c c} \hline \hline
**Criteria** & **Sub-Criteria** & **Analysis** \\ \hline Paper identification & Publication year & Time series analysis \\  & Source type & Source analysis \\  & Publication country & Geographical distribution analysis \\  & Authors & Authors analysis and citation analysis \\  & Keywords & Keywords analysis \\ \hline \hline \multirow{2}{*}{Scope} & Domain & Technologies, operations, green, safety, \\  & Supply Chain Level & attributes, other \\  & Type of Maturity & Organization, process, network \\  & Process & Maturity, capability, readiness, diffusion, \\  & Process & Supply chain management, logistics, \\  & & manufacturing, procurement, sales and \\  & & operation planning \\ \hline \hline \multirow{2}{*}{Design} & Assessment Tool & Framework, CMM-based, Likert-like \\  & Design Process & questionnaire, Maturity grid \\  & Architecture & Theory-driven, practitioner-based, mixed \\  & & approach \\ \hline \hline \end{tabular}
\end{table} 
Table 2: The analyses were categorized based on criteria such as paper identification, scope, design, and application. Each of these criteria was further divided into relevant sub-criteria. MMs for SCML. However, the results also indicate an increasing interest in broader research trends such as Industry 4.0 [41; 45] and sustainability [39; 46]. These emerging areas have contributed to the growing number of publications on MMs for SCML. In terms of document type, the majority of the selected papers are articles, accounting for 64% (87 out of 137). Conference papers represent 30% (3 out of 137) of the total, while reviews constitute 8% (11 out of 137). The 137 selected papers on MMs for SCML are distributed across 87 different sources among journals and conference proceedings, resulting in an average of 1.57 publications per source. Most of the sources (65 out of 87) have only one publication, while nine sources have two publications. Only 13 sources have a higher number of publications, ranging from 3 to 6. Table 1 illustrates the temporal evolution of the 13 most productive journals. The top 13 journals contribute to a total of 54 publications, accounting for approximately 39% of the selected articles. The two most prominent sources in terms of publication count are IFIP Advances in Information and Communication Technology (IFIP) and Procedia Manufacturing, both with six publications. It is noteworthy that although the analysis covers a period starting from 2001, most of the influential journals in this field emerged after 2015, coinciding with the significant growth of the topic. An effective representation of the most productive sources is that described by Brandford's Law [63]. This law divides the sources into three zones by decreasing the number of publications distributed according to a geometric series. The first zone, described by the grey rectangle in Figure 3, contains the sources most relevant to the topic of MMs for SCML, which in this case is number 11.