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

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.

Citation

Ren, J., Yusuf, Y.Y. and Burns, N.D. (2003), "The effects of agile attributes on competitive priorities: a neural network approach", Integrated Manufacturing Systems, Vol. 14 No. 6, pp. 489-497. https://doi.org/10.1108/09576060310491351