AbstractTeam members’ project collaborative process evaluation is the key link to improve the management effectiveness of an organization. However, there is a lack of evaluation methods from the perspective of multiple team membership (MTM). Based on the data in the project management system (PMS) of engineering design enterprises, this article studies the project participation evaluation method of team members from the perspective of MTM. Using a clustering algorithm, this article developed and verified the participation evaluation index of single projects and multiple projects, a classification and statistics method, and the centrality evaluation method of team members. The research revealed the distribution law of MTM quantity and the influence of team members’ knowledge and ability on it. We found that this index can evaluate objectively team members’ project participation, which can divided into three levels: high, medium, and low. Collaborative activities that contribute significantly to the project account for 20% of the total. The reasonable range for team members to invest in high participation projects is from 2 to 4. For medium participation projects, the number is from 6 to 8. For low participation projects, the number is from 18 to 25, or even unlimited. This study found four positive and four negative effects of personal characteristics on work efficiency. When individuals have these characteristics, team members can better play to their abilities under the project management mechanism, which provides a reference for enterprises to identify and cultivate team members.Practical ApplicationsWith the transformation of the cooperation mode of consulting projects to diversification and remoteness, the organization has to adapt to the complexity of the project and environment, constantly adjust project team structure, and improve team efficiency. Individual employees increasingly participate in multiple project teams and play different roles. Multiple team membership (MTM) theory provides an important theoretical basis and practical guidance for an organization’s project management activities. Firstly, because it is difficult to quantify and evaluate the project participation of team members (TMs) in a multiproject environment, this article formulates the measurement indicators and classification description methods for evaluating single and multi-project participation in the MTM context, as well as the MTM quantitative statistics method. By dividing the project participation into high, medium and low levels, the distribution law of team members’ work efficiency is revealed, and the in-depth study of MTM theory is realized based on PMS data, so that survey and design enterprises can grasp the workload of employees in real time. Secondly, this study identified the key personal characteristics that affect the workload and the core of team members, so that organizations can cultivate and select talents according to their personal characteristics.

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