# Shared Logistics--Literature Review
## 2 Methods of Analysis  
The years 2017-2021 were selected for the analysis, as the concept of sharing in logistics began to appear in logistics in 2015, and more often only in 2017, therefore this year was chosen as the beginning of the analyzed period. The keywords used in the search were \"shared logistics\" in quotation marks. To collect the articles for this analysis, first, the Scopus database was used, which gave the result of 26 papers for the selected range. Additionally, the Google Scholar database was used, which for the analyzed period, gave 421 results for the password \"shared logistics\" (including the 26 that Scopus found). The reason Google Scholar was used is that it offers results of scientific papers across many disciplines and therefore allows for a wide analysis of how shared logistics is being defined and used by all sorts of businesses and organizations. After carefully examining all 421 documents, 160 documents were found to be scientific papers. All of them were read and 74 studies were selected for the final analysis as those that were significantly related to shared logistics. We decided not to use meta-analysis as the studies analyzed were not similar enough to combine their results meaningfully; therefore, the meta-analysis may not be valid. In addition, desk analysis allowed us to can use our knowledge and expertise to interpret the literature and make connections between different studies that may not be apparent to a software tool. Desk analysis can apply critical thinking and evaluate the quality of the studies, while a tool only can classify the studies based on the given criteria. Desk analysis in this case allowed us to adapt the review to the unique characteristics of their topic and research question, while meta-analysis is limited to the parameters it has been programmed with. In addition, our desk analysis allowed us to handle nuanced information and understand the implications of the findings. The selected papers' data were entered into Mendeley software, which is a tool for creating bibliographies and organizing research work and allows the creation of bibliographic databases. With a list of references, we were able to create a file in a format accepted by the VosViewer program. VosViewer is a software tool that allows the creation of visual bibliometric networks. The networks can contain specific journals, specific researchers, or, in our case, keywords. They are created based on biographical data. Additionally, desk analysis of the read texts was made and grouped according to the subject matter to which they relate, as part of shared logistics. Figure 1 shows the number of articles that respond to a Google Scholar \"shared logistics\" query since 2015 when it started to appear in scholarly research. Distinguishing geographical areas in which shared logistics processes are most often analyzed is important because it can provide insight into where the most active research community for shared logistics is located, which can be beneficial for researchers looking to collaborate or stay up-to-date on the latest developments in the field. It can give researchers an idea of the policy environment and regulations that have been established in different countries, which can be beneficial for understanding the impact of different policies on shared logistics. Finally, it can help researchers to identify the direction and trends of the field in different countries, which can be beneficial for identifying opportunities for future research and development. Scientists who appreciate the potential of shared logistics most often come from China (33) and then from the USA (7), France (6), and India (5), which may indicate that these countries are open to innovation, but it is a simplification that would require further research. Figure 2 illustrates the origin of the authors of the papers we were able to find the affiliation for. China has a rapidly growing economy and is a major player in the global supply chain, particularly in manufacturing.