Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

November 12, 2021


Pages


DOI

Article

Application of RBF model in the relationship between organisational innovation and organisational performance of HEM enterprises

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Authors

Xiaoran Li Affiliation:
School of Economics and Management, Harbin Institute of Technology, Harbin, China
, Chunsheng Shi Affiliation:
School of Economics and Management, Harbin Institute of Technology, Harbin, China
, Hassan A. Alterazi Affiliation:
Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
and Mohammed Yousuf Abo Keir Affiliation:
Business Administration, Applied Science University, Al Eker, Kingdom of Bahrain


Abstract

With the increasing dynamics of the environment, the organisational innovation of high-end equipment manufacturing (HEM) enterprises has attracted more attention. This paper introduces a radial basis function (RBF) neural network to establish a model of the effect of organisational innovation on organisational performance (OP). Organisational innovation includes five dimensions: strategic innovation, structural innovation, cultural innovation, institutional innovation and process innovation. Through the modelling results, we know that all dimensions of organisational innovation have an effect on performance. According to the degree of impact, they are strategic innovation, structural innovation, process innovation, cultural innovation and institutional innovation.


Keywords

organisational innovation, organisational performance, RBF neural network


Citation

Li, X., Shi, C., Alterazi, H. A., & Abo Keir, M. Y. (2021). Application of RBF model in the relationship between organisational innovation and organisational performance of HEM enterprises. Applied Mathematics and Nonlinear Sciences, 6(2). https://doi.org/10.2478/amns.2021.2.00049
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