Banking Method: Addressing Resource Token Bias in P2P Human Resource Sharing Platform
Abstract: In many small and medium-sized enterprises (SMEs), workloads fluctuate, and managing human resources under such fluctuating conditions is challenging. During busy periods, employees struggle to complete all the work, but during idle periods, there may not be sufficient work to assign to employees. This study has two objectives: first, to propose a new peer- to- peer (P2P) human resource sharing platform to balance the working hours of employees, and second, to propose a banking method, i.e., a coping mechanism for stablecoins called share-P (sharing points). The first aim is to enable companies experiencing idle time to offer their employees to other companies with a greater workload through automated negotiation techniques. The second aim is to reduce the share- P bias that hinders the smooth distribution of share- P and employees within the platform. The effectiveness of the new platform and the new distribution method are evaluated and validated through multi-agent simulations using NetLogo.
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