Title: Enterprise internationalisation performance evaluation model based on artificial neural network

Authors: Guojun Yang; Xiaohu Zhou; Zhiyao Liang

Addresses: School of Foreign Studies, Nanjing University of Science and Technology, Nanjing, Jiangsu, China; School of Economics and Management, Nanjing University of Science and Technology, Nanjing, Jiangsu, China ' School of Economics and Management, Nanjing University of Science and Technology, Nanjing, Jiangsu, China ' School of Information Technology, The Macau University of Science and Technology, Macau

Abstract: The internationalisation performance of enterprises has been affected by many factors. Designing scientific and effective evaluation index system and conducting comprehensive evaluation are important means to help international enterprises to evaluate their internationalisation performance reasonably. This paper comprehensively reviews the research findings of factors influencing internationalisation performance and indexes at home and abroad, focusing on two quantifiable factors of financial performance and structural proportion, and constructs a hierarchy of internationalisation performance evaluation index system. Secondly, artificial neural network (ANN) is used for adaptive training to obtain the optimised connection weights. Finally, the data of some enterprises' internationalisation performance indexes are collected for empirical research to illustrate the rationality and effectiveness of the method.

Keywords: artificial neural network; ANN; internationalisation performance; index system; evaluation; enterprise internationalisation; financial performance; structural proportion.

DOI: 10.1504/IJES.2020.110652

International Journal of Embedded Systems, 2020 Vol.13 No.4, pp.387 - 397

Received: 01 Mar 2019
Accepted: 07 Aug 2019
Published online: 27 Oct 2020 *

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