Techno-innovative solution in the form of neural expert system to address the problem of high attrition rate

Viral Nagori
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引用次数: 1

Abstract

The paper presents the solution to address the problem of high attrition rate by the way of technology innovation in the form of neural expert system. The neural expert system evaluates the motivational preferences of the employees based on their demographics. Based on the evaluation, the system generates set of customized motivational strategies for each individual employee to motivate them and thus in turn helps to retain them for the longer duration. The paper also justifies the need for the techno-innovation to address the problem of high attrition rate. The research is based on the population of ICT employees working in Ahmedabad and Gandhinagar region of Gujarat state in India. The system has been implemented and provides more than 90% of the accuracy in prediction. The comparison with such other neural network based systems indicates that our system is above par in performance evaluation criteria.
以神经专家系统的形式提出技术创新解决方案,解决高流失率问题
本文以神经专家系统的形式,通过技术创新的方式,提出了解决高流失率问题的方法。神经专家系统根据员工的人口统计数据评估他们的动机偏好。在评估的基础上,系统为每个员工生成一套定制的激励策略,以激励他们,从而帮助他们更长时间地留任。文章还论证了通过技术创新解决高流失率问题的必要性。这项研究基于在印度古吉拉特邦艾哈迈达巴德和甘地纳加尔地区工作的信息通信技术雇员的人口。该系统已实现,预测准确率达90%以上。与其他基于神经网络的系统进行了比较,结果表明该系统在性能评价指标上优于同类系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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