Abstract

The computer information service industry is closely related to the fourth industrial revolution and stands at the core of the global value chain. It has become an essential engine for developing industries in various countries, and its scale is constantly expanding. In the critical period of global economic transformation and development, the use of mathematical models to predict its international competitiveness will help scientifically evaluate the development level of the industry and accelerate the adaptation to the needs of the fourth industrial revolution. In this article, a prediction model is proposed for the international competitiveness of the computer information service industry. First, we used the Revealed Comparative Advantage (RCA) index to measure the international competitiveness of the computer information service industry. Furthermore, based on the characteristics of the industry and high-quality development theory, we constructed the evaluation indicator system of influencing factors and used the grey relational analysis method to screen key indicators. Then, we combined the Grey model and BP neural network algorithm to construct the GM-BP prediction model. Finally, China is used as an example to predict the international competitiveness of its computer information service industry, and suggestions are made for industrial development. The results show that the grey relational analysis method can genuinely reflect the impact of different aspects on the international competitiveness of China’s computer information service industry and better determine the key indicators of influencing factors. The GM-BP model has minor errors and excellent simulation results and can accurately predict the future status of international competitiveness. The applicability and reliability of the model are reasonable.

Highlights

  • In the era of the service economy, service trade has become the core driving force to promote global business development

  • The computer information service industry is most closely associated with the fourth industrial revolution among all the service trade industries and stands at the core of the global value chain

  • Grey theory and BP neural network theory, a GM-BP neural network prediction model is established to predict the international competitiveness of the computer information service industry

Read more

Summary

Introduction

In the era of the service economy, service trade has become the core driving force to promote global business development. The computer information service industry is most closely associated with the fourth industrial revolution among all the service trade industries and stands at the core of the global value chain. In the critical period of global economic transformation and development, it is of immense importance to analyze the factors that affect the computer information service industry’s international competitiveness and build a prediction model from the perspective of highquality development. It helps to adapt to the needs of the global economic servicing and Algorithms 2021, 14, 308 to analyze the factors that affect the computer information service industry’s international competitiveness and build a prediction model from the perspective of high‐quality devel‐.

Literature Review
Construction of GM-BP Prediction Model
Competitiveness Evaluation
Analysis Framework
Key Indicators Selection
Prediction of Key Indicators
Model Construction
Predictive Analysis
Comparative Analysis
Data Calculation
Key Indicators
Findings
Discussion
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.