The effects of agile attributes on competitive priorities: a neural network approach

J. Ren, Y. Yusuf, N. Burns
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引用次数: 83

Abstract

Considering the significance of organisational attributes and competitiveness, it is necessary to explore how the attributes affect enterprise competitive capabilities. This paper intends to identify the dominant and critical attributes with the greatest influence on each priority. The present research intends to identify the potential for the use of a neural network in the area where statistical modelling approaches have traditionally been used. A method of artificial neural network (ANN) has been proposed. For the ANN, capability of a multi‐layer perceptron with back propagation algorithm is made use of. The proposed network configured can detect, classify and estimate the extent of effects of agile attributes on competitive capabilities. The potential of the above approach is illustrated with an empirical study to show that a neural network approach is a very promising tool for the manufacturing enterprise design.
敏捷属性对竞争优先级的影响:一个神经网络方法
考虑到组织属性与竞争力的重要性,有必要探讨组织属性对企业竞争力的影响。本文旨在找出对每个优先级影响最大的主导属性和关键属性。目前的研究旨在确定在传统上使用统计建模方法的领域使用神经网络的潜力。提出了一种人工神经网络(ANN)方法。对于人工神经网络,利用了多层感知器的反向传播算法的能力。所构建的网络可以检测、分类和估计敏捷属性对竞争能力的影响程度。通过一项实证研究表明,神经网络方法是一种非常有前途的制造企业设计工具。
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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