Chinese scholars and overseas collaborators have made progress in the research of decentralized autonomous organization platform governance model

Figure 1 A visual example of platform governance for decentralized autonomous organizations

Figure 2 Task processing flow chart of decentralized autonomous organizations

With the support of the National Natural Science Foundation of China (approval number: 72132007, 91746111), Professor Zhao Xi of Xi'an Jiaotong University, together with Professor Luo Xin of the University of New Mexico, Professor Lai Fujun of the University of Southern Mississippi and Professor Jose Benitez of HEC Nord took the operation and management of distributed platforms as the starting point and decentralized Autonomous Organization (DAO) conducted the study
.
The research results were officially published
in the Journal of Operations Management in September 2022 under the title "Task Management in Decentralized Autonomous Organization".
The link to the paper is: https://doi.
org/10.
1002/joom.
1179
.

Different from the traditional hierarchical organization management model, decentralized autonomous organizations encode management and operation rules on the blockchain in the form of smart contracts, and make decisions
on platform transactions through token-weighted voting 。 Users who are willing to participate in platform governance can purchase platform management tokens to become members of the DAO organization and obtain voting rights (as shown at the top layer of Figure 1), DAO members vote on various matters in the operation and management of the platform, and make joint decisions to obtain solutions to management problems (as shown in the middle layer of Figure 1), the platform business makes corresponding adjustments according to the decision-making results, and the operational performance of the platform is also affected (as shown at the bottom layer of Figure 1).

This innovative form of management collaboration provides institutional solutions to the "agency problem" existing in traditional companies, but its effectiveness in practice has not been verified
.

The research team summarized and abstracted the process of decentralized autonomous organizations processing tasks (Figure 2), proposed a new management decision-making model based on organizational management theory, and tested
the model based on the business and management data of the real distributed platform.
The study finds that operational management decisions obtained through token-weighted voting have a negative impact on the operational performance of the platform, while strategic decisions obtained in this way have a positive impact
on platform performance.
In addition, the study also finds that the mechanisms of task allocation, incentive distribution and information provision adopted by decentralized autonomous organizations have a moderating effect
on the above relationships.
The relevant results not only provide new insights for the application and development of organizational management and operation management theory in the blockchain innovation environment, but also can be used to guide the performance improvement
of distributed platforms in practice.