基于波动-均衡的员工工作行为定性模拟

Oscillation-equilibrium -based Simulation for Employee Work Behavior

为模拟员工工作行为,给企业管理者提供决策依据,提出波动-均衡规律:员工工作行为变化是一种受社会场引力和费用引力吸引的波动-均衡过程。根据该规律,对变量进行分类和表述,用因果关系图描述变量之间作用关系;用BP神经网络衡量社会场及费用引力;根据波动现象,设计状态变量的转换规则、过滤原理和模拟步骤。在示例应用中组合了不同环境和管理措施的实验方案,模拟结果表明,该方法能够正确地描述和预测员工工作行为的变化过程。

To simulate employee work behavior for providing enterprise managers with decision information, an oscillation-equilibrium theory of behavior was proposed, in which the work behaviors were viewed as an oscillation-equilibrium process between the society field gravitation and cost gravitation. Based on this theory, variables were classified and described. Causal graph was used to describe the interaction between the variables. BP neural network was used to describe the magnitude of the society field gravitation and cost gravitation. Based on the oscillation phenomena, the transition rules of state variable, filter and simulation algorithm were designed. In an example, experimental designs of environment and decision variables were given. Simulation results show the proposed method is able to describe and forecast the change process of employee work behaviors.