Emotions and Employee Turnover: New Methods for Complex Dynamic Systems

情绪和员工流动率：复杂动态系统的新方法

• 批准号: DP200100219
• 负责人: Prof Michael Zyphur
• 金额: $ 30.08万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-05-29 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200100219
• 关键词: Emotions; Employee; Turnover; New; Methods

This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in complex dynamic systems. The expected outcomes include an improved capacity for researchers, managers, and policy makers to understand complex organisational, economic, and health systems. This will provide immediate societal benefits by informing the development and deployment of targeted interventions in such systems.

该项目旨在极大地提高社会和健康研究人员的数据分析能力，同时增加关于情绪动态及其与员工流动的联系的知识。通过借鉴和推进生态学和应用物理学的方法，该项目计划用新的定量方法来研究个人情绪在员工离职中的作用，以表征和测试复杂动态系统中的因果关系。预期的结果包括提高研究人员、管理人员和决策者理解复杂的组织、经济和卫生系统的能力。这将通过为在此类系统中制定和部署有针对性的干预措施提供信息，提供直接的社会效益。