Banking Method: Efficient Human Resource Sharing between Companies

We propose a peer-to-peer (P2P) human resource sharing platform using stablecoins (Share-P) to address thelabor shortage in Japanese small and medium-sized enterprises by equalizing their busy and idle periods. However,repeated sharing resulted in a skewed distribution of Share-P, leading to two groups: wealthy companies with toomuch Share-P and 0pt companies without any Share-P, negatively impacting the efficiency of human resource sharing.To address the challenge of 0pt companies in busy periods unable to borrow human resources due to Share-Pimbalances, our objective is to create a mechanism where a third party lends Share-P, thus enhancing the overalleffectiveness of the human resource sharing platform. The banking Method has been proposed to solve the issue ofShare-P bias. The method involves creating a Share-P bank at the center of the human resource-sharing platform.Each company must deposit a predetermined proportion of Share-P based on their employee count. This will helpto facilitate smooth human resource sharing among companies within the platform. If any company faces a shortageof Share-P, the bank will provide loans to them. The ultimate goal of this approach is to help companies carry outtheir operations more efficiently. The exchanged employees participate in contract-based secondments, remainingformally employed by their original companies while temporarily assigned to others. Ideally, they are multi-skilledgeneralists, as they are better suited for human resource sharing. Specialists can develop broader capabilities and amore versatile skill set through repeated sharing. This model is particularly effective for companies that frequentlyexchange employees within a corporate group or small and medium-sized enterprises (SMEs) seeking a more flexibleworkforce. We used NetLogo to create the artificial platform for multi-agent simulations called the human resourcesharing platform. We also tested a proposed banking Method solution to address Share-P imbalances. The resultsshowed that when we compared human resource sharing alone with the banking Method (using a deposit rate of 30%and a financing rate of 30%), there was a 20% decrease in busyness and idleness per employee and a 10% increase inthe number of borrowed employees per year. This effectiveness is due to the improved mobility of human resourcesutilizing Share-P through the banking method.

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Publication Details

Journal
Transactions of the Japanese Society for Artificial Intelligence
Published
2025-08-31
DOI
https://doi.org/10.1527/tjsai.40-5_ag25-d
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
0.00
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article

Banking Method: Efficient Human Resource Sharing between Companies

Kenta Abe, Miki Saito, Hisashi Hayashi
Transactions of the Japanese Society for Artificial Intelligence
Banking stability, regulation, efficiency
article

Banking Method: Efficient Human Resource Sharing between Companies

Kenta Abe, Miki Saito, Hisashi Hayashi
article en

Abstract

We propose a peer-to-peer (P2P) human resource sharing platform using stablecoins (Share-P) to address thelabor shortage in Japanese small and medium-sized enterprises by equalizing their busy and idle periods. However,repeated sharing resulted in a skewed distribution of Share-P, leading to two groups: wealthy companies with toomuch Share-P and 0pt companies without any Share-P, negatively impacting the efficiency of human resource sharing.To address the challenge of 0pt companies in busy periods unable to borrow human resources due to Share-Pimbalances, our objective is to create a mechanism where a third party lends Share-P, thus enhancing the overalleffectiveness of the human resource sharing platform. The banking Method has been proposed to solve the issue ofShare-P bias. The method involves creating a Share-P bank at the center of the human resource-sharing platform.Each company must deposit a predetermined proportion of Share-P based on their employee count. This will helpto facilitate smooth human resource sharing among companies within the platform. If any company faces a shortageof Share-P, the bank will provide loans to them. The ultimate goal of this approach is to help companies carry outtheir operations more efficiently. The exchanged employees participate in contract-based secondments, remainingformally employed by their original companies while temporarily assigned to others. Ideally, they are multi-skilledgeneralists, as they are better suited for human resource sharing. Specialists can develop broader capabilities and amore versatile skill set through repeated sharing. This model is particularly effective for companies that frequentlyexchange employees within a corporate group or small and medium-sized enterprises (SMEs) seeking a more flexibleworkforce. We used NetLogo to create the artificial platform for multi-agent simulations called the human resourcesharing platform. We also tested a proposed banking Method solution to address Share-P imbalances. The resultsshowed that when we compared human resource sharing alone with the banking Method (using a deposit rate of 30%and a financing rate of 30%), there was a 20% decrease in busyness and idleness per employee and a 10% increase inthe number of borrowed employees per year. This effectiveness is due to the improved mobility of human resourcesutilizing Share-P through the banking method.

Transactions of the Japanese Society for Artificial IntelligenceVol. 40(5)
Advanced Institute of Industrial Technology (JP)
Openalex Percentile: Top 70%
Banking stability, regulation, efficiency
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