original data

This study constructs a competence model for managerial roles within enterprises by integrating socio-technical system theory and data mining analysis. Drawing on 200 job postings from the BOSS Recruitment platform in China, the research identifies the evolving competency requirements of managerial positions under digital transformation. Using KH Coder-based text mining, the study uncovers industry-specific patterns and develops a dual-layer “ability–scenario” framework that captures the dynamic interaction between managerial skills and contextual adaptability. Results reveal that both managerial and professional competencies carry comparable importance, while communication ability functions as a key moderating factor across industries. The proposed model contributes to the understanding of how enterprises align human–machine collaboration, talent strategy, and organizational resilience. These findings extend socio-technical perspectives to managerial competency research and provide practical implications for human resource development in digitally transforming business environments.

本研究融合社会技术系统理论（socio-technical system theory）与数据挖掘分析方法，构建了企业内部管理岗位的胜任力模型。本研究依托中国BOSS直聘（BOSS Recruitment）平台收录的200条招聘启事，识别出数字化转型背景下管理岗位的动态胜任力需求。本研究采用基于KH Coder的文本挖掘技术，挖掘得到行业专属的胜任力分布模式，并构建了双层"能力-情境"框架，用以捕捉管理技能与情境适应性之间的动态交互关系。研究结果表明，管理胜任力与专业胜任力的重要程度相当，而沟通能力则是贯穿各行业的关键调节变量。本研究所提出的模型有助于理解企业如何协调人机协作、人才战略与组织韧性。本研究结论将社会技术系统视角拓展至管理胜任力研究领域，并为数字化转型商业环境中的人力资源开发提供了实践启示。