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A PREDICTIVE MODEL FOR DETERMINING COGNITIVE VOLUNTARY TURNOVER BEFORE PHYSICAL DEPARTURE

机译:确定在物理出发前确定认知自愿营业额的预测模型

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摘要

This research focuses on the detection and identification of personnel who have mentally departed from their jobs before they physically leave. This process is defined as cognitive turnover (CT). A methodology for identifying and monitoring CT is presented as the Statistical Evaluation of Cognitive Turnover Control System. (SECtCS). SECtCS identifies personnel affected by CT, identifies causes, and provides relevant solutions. By using SECtCS, organizations can identify and predict disturbed workers that may sabotage both the company and themselves, so that some type of intervention can take place.
机译:这项研究侧重于在物理离开之前精神离开工作的人员的检测和鉴定。该过程被定义为认知营业额(CT)。识别和监测CT的方法作为认知流转控制系统的统计评估。 (突破)。派科标识受CT影响的人员,识别原因,并提供相关的解决方案。通过使用突破,组织可以识别和预测可能破坏公司和自己的受扰动的工人,以便可以进行某种类型的干预。

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