Author(s)

Wenrui Zhang, Li Chen, Bin Zhu, Shaobo Liu, Juntai Shi

Corresponding Author

Wenrui Zhang

Abstract

With the widespread deployment of smart organization construction platform, the behavior data generated by members in the platform is increasingly rich. This paper focuses on the modeling method of member behavior data and the construction of evaluation system of grass-roots organizational strength, and explores the governance path of organization construction driven by data. By combing the multi-source behavior data in the platform of smart organization construction, the key characteristics such as activity, participation, persistence and interaction are extracted, and a member behavior classification model based on cluster analysis is constructed. On this basis, combined with the theoretical connotation of organizational capability, an evaluation index system covering four dimensions: political leadership, organizational execution, mass cohesion and innovative service power is designed. The purpose of the study is to promote the transformation of organizational construction evaluation from empirical and qualitative to data and structure, and to improve the scientific and forward-looking management of grass-roots organizations. The model and system can provide theoretical reference for the functional optimization and decision support of the platform for building smart organizations, and help improve the quality and efficiency of organizational construction in the new era.

Keywords

Smart Organization Construction; Member Behavior Data; Data Modeling; Organizational Capability; Index System