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Business excellence initiative success prediction model based on logistic regression and artificial neural network

机译:基于逻辑回归与人工神经网络的企业卓越倡议成功预测模型

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摘要

Today the organisations are increasingly adopting business excellence (BE) initiatives for the breakthrough business results. However, such initiatives have given limited success. The practitioners are looking for early alerts for the initiative mid-course corrections. The present paper describes the development of a logistic regression and artificial neural network(ANN)-based BE initiative success prediction model. The deployment of the model in various organisations helped to predict BE initiative success probability and take corrective actions. The success rate of the organisations deploying BE model is statistically more than that are not deploying it. The exploratory research has shown that organisational culture has a greater impact on BE initiative success than the business environment and organisational structure related factors. The descriptive research indicates that Lean Six Sigma is deployed in 73% organisations as a successful BE initiative and the focus of the 63% respondents are in bottom-line improvements.
机译:今天,组织越来越多地采用卓越的商业卓越(是)突破性业务结果。但是,这些举措取得了有限的成功。从业者正在寻找提前警报,以获得主动中间课程更正。本文介绍了基于初始成功预测模型的逻辑回归和人工神经网络(ANN)的发展。在各种组织中部署模型有助于预测是主动成功概率并采取纠正措施。部署组织的成功率为模型是统计上的,而不是部署它。探索性研究表明,组织文化对倡议成功产生了更大的影响,而不是商业环境和组织结构相关因素。描述性研究表明,在73%的组织中部署了精益六西格玛,这是一个成功的主动权,63%受访者的重点是底线改进。

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