# Shared Logistics--Literature Review
## 2 Methods of Analysis
As such, it has a vested interest in exploring ways to improve  
Figure 1: Number of papers mentioning shared logistics since 2015. Source: Own elaboration based on Google Scholar data. Figure 2: “Shared logistics” subject—authors’ nationality. Source: Own work. logistics and supply chain efficiency, which could include shared logistics. Furthermore, the country has a large and rapidly growing academic community, particularly in engineering and technology. Many universities and research institutions are focused on logistics and supply chain management, and these institutions are actively researching and publishing on the topic of shared logistics. Moreover, the country has strong government support for research and development in the logistics field, with many state-funded research projects being devoted to logistics and supply chain management. This support is likely to drive research in the field. Finally, Chinese companies may be more willing to share resources and collaborate than companies in other countries. This may be a cultural difference that could be driving more interest in shared logistics in China. The fact that the subject is most appreciated in China may mean that gains in efficiency and cost reduction are most appreciated in China, at the cost of a partial loss of individuality/privacy. It is worth noting that shared logistics is a relatively new concept, and the scientific literature on this topic is still evolving. As the field of shared logistics continues to grow, it is likely that research on this topic will become more diverse and will come from a wider range of countries and regions. A tool that allows users to analyze and visualize the relationships between keywords in a set of scientific publications is VosViewer. It is a tool that helps to visualize the literature. It can be used to identify patterns and trends in the literature. We analyzed which keywords are commonly used together, how authors associate certain keywords with each other, and which topics are currently the most researched. Figure 3 shows the correlation between the words used in the abstracts of the researched publications and the correlation between them. The greater the variance, the more often the word was used. The thicker the line, the greater the correlation between the words. Figure 3 shows the most often model business services, supply chain services, and, added value concerning collaboration, and the relatively often research solutions for cities and model logistical problems for digital services concerning time and potential development. There is a visible, strong correlation between the words logistics, development, economy, and distribution. The connections between keywords used by authors provide a snapshot of the current state of the literature in the field. It can help identify the major  
Figure 3: Repeated words correlation between abstracts of chosen papers. Source: Own work made in VosViewer program. topics of research, and the relationships between different topics. It can also reveal areas where research is lacking or where there are gaps in the literature. Figure 4 shows three clusters of phrases that appeared together most often. As the program does not show the correlation between the phrases, instead of shared logistics, we showed collaboration word links (Figure 5). If the center of gravity from the point of view of the keyword collaboration (the most commonly used synonym for shared logistics) is analyzed, there are connections with the concepts of the supply chain, time, services, modeling, company and value, product and retail, business, and logistics. While this is a superficial analysis, it gives a picture of research areas and areas of interest which can help to understand what the current trends in the field are and identify the most active research topics. Most articles deal with the area of computer sciences, then engineering, social sciences, business, and management, then environment and energy.