## 2 Review of the Literature
[45] analyzed the strategies of users of the BBSM system with the help of evolutionary game theory; under different assumptions, they found that several different stable states of the system are possible, with instability occurring when manufacturers do not participate in the confirmation of transactions. The BBSM system is in a global state where all users of the BBSM system participate in transaction confirmation. While many papers have described the problem of integrating blockchain technology into manufacturing systems due to scalability limitations, these have not analysed the impact of these constraints on system performance [41; 42]. Implementations of scalability solutions are emerging to improve the integration of blockchain technology in systems such as manufacturing [37; 38]. Thus far, two studies have addressed scalability limitations in the context of blockchain-based shared manufacturing [2; 3]. Both studies recognize the scalability limitations of blockchain technology and propose solutions that reduce the consumption of computational resources in the context of implementing the BBSM concept. Even though all the studies presented above considered the impact of blockchain technology on the performance characteristics of the system and the behavior of system users, none of the analyses used any of the metrics that describe the performance of the manufacturing system, instead mostly using metrics that define the performance of the blockchain network (i.e., transaction throughput and transaction costs). In addition, none of the aforementioned studies deal with the situation when the blockchain network becomes congested, which is a common occurrence in existing networks, or when the operation of the network changes. In the extant analyses, the decisions of the real users of the system (people) are not fully taken into account; instead, simulation and theoretical approaches are mostly used. Based on the reviewed literature, the following research gap can be identified, leading to the posing of the following research questions:  
* What are the effects of the scalability limitations of blockchain technology on the performance of BBSM systems (i.e., the frequency of manufacturing services)? \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Authors** & **Problematics** & **Parameters** & **Methodology** & **Key Findings** \\ \hline \multirow{4}{*}{[PERSON] et al. [3]} & Analysis of block generation efficiency in resource operation blockchain & Gas consumption and throughput & Simulation & A decrease in the number of transactions per service increases efficiency \\ \cline{2-5}  & Performance analysis of collaboration platform & Transaction throughput and latency & Simulation & Performance is satisfiable if a sufficient amount of blockchain nodes are present compared to the number of users in the system \\ \hline \multirow{2}{*}{[PERSON] et al. [2]} & Performance analysis of scalable platform & Costs and time for service analysis & Theoretical calculations and experimental analysis & Scalability solutions reduce the costs and time rejoored for manufacturing service execution \\ \hline \multirow{2}{*}{[PERSON] et al. [45]} & User strategy analysis in BBSM systems & Payoff & Theoretical approach and simulations & Instability occurs in the system if manufacturers do not participate in confirmation of transactions \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Existing studies on blockchain-based shared manufacturing. * How do the scalability limitations of the blockchain technology and resulting blockchain network congestion affect human behavior in BBSM systems?