In this study, educational demographics has been studied in the banking sector within a developing economy context targeting job allocations. In a system view, among organizational demography; educational demographics of staff should be regarded at various educational levels where the number of employees must be determined concerning job leveling and organizational development. This study has been done in a retail bank in Iran and has analyzed the dynamics of educational demographics. Due to interactions between the chain components, the policies and decisions are investigated via system dynamics (SD) method to guarantee the appropriate and balanced growth of the bank. Various policies were simulated, and the consequences of applying them were assessed. Results revealed that a change in the system’s parameters, e.g., employment rate and training periods are not effective in reaching balanced educational demographics in the long-term. Rather, findings showed that achieving this balance would only be possible through structural changes in the promotion of training and higher education levels as well as personnel regulations development at each level within a 3-year timeframe. Presenting educational demographics in an SD framework as well as applying the simulation model would enable decision aiders to analyze the implications of contrasting decisions in the long run. Furthermore, it demonstrates the dynamics of staff’s educational demographics in financial institutions and banks in a developing economy. Results show that even though the optimal setting for each level of education, which was the number of jobs defined for each level, cannot be achieved in the long run, and in the most efficient case, a 27% deviation from the desired job levels can be achieved. This was due to the multiple time delays existing in the system.

中文翻译：

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教育人口统计学：人力资源管理的系统动力学模型

在这项研究中，在针对工作分配的发展中经济背景下，对银行部门的教育人口统计学进行了研究。在系统视图中，在组织人口统计中；应从各个教育水平考虑工作人员的教育人口统计学，在这些教育水平上必须确定有关工作级别和组织发展的雇员人数。这项研究已在伊朗的一家零售银行完成，并分析了教育人口统计学的动态。由于链条组件之间的相互作用，因此通过系统动力学（SD）方法研究了政策和决策，以保证银行的适当且平衡的增长。模拟了各种策略，并评估了应用它们的后果。结果表明，系统参数发生了变化，例如 从长期来看，就业率和培训时间对达到均衡的教育人口统计无效。相反，调查结果表明，只有通过在三年内对培训和高等教育水平的提升以及每个级别的人事法规的发展进行结构性改变，才能实现这种平衡。在SD框架中呈现教育人口统计信息以及应用模拟模型将使决策辅助者从长远来看可以分析对比决策的含义。此外，它展示了发展中经济体中金融机构和银行中员工教育人口统计的动态。结果表明，即使针对每个教育水平的最佳设置（即为每个层次定义的工作数量），从长远来看是无法实现的，而在最有效的情况下，可以实现与所需工作水平的27％的偏差。这是由于系统中存在多个时间延迟。