Reinventing the Global Services Value Chain under the Wave of Digitization: An Analysis Based on Nonlinear Regression Models

Authors

  • Gaihong Lu School of Economics and Management, Guangdong Open University, Guangzhou, Guangdong, 510091, China;School of Economics, Zhejiang Gongshang University, Hangzhou, Zhejiang, 310018, China

DOI:

https://doi.org/10.70917/ijcisim-2026-0067

Keywords:

nonlinear regression model; entropy weight method; trade value added method; service industry value chain

Abstract

Under the impact of digitalization wave, it is both a challenge and an opportunity for the global service industry value chain. Combined with the current development status of digital economy, it is proposed to use the entropy weight method to obtain the value of the development level of the former digital economy, while the value of the global services value chain is obtained by the trade value added method. The research variables are set, the data sources are determined, and the influence relationship between the two is explored using a nonlinear regression model. There is a significant positive correlation between the level of digital economy development and the status index of the global services value chain, and the status index of the global services value chain rises by 0.042 units for every unit increase in the level of digital economy development, which shows the interaction between the two, and provides guidance and reference for the reengineering of the value chain of the global services industry under the wave of digitization.

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Published

2026-01-17

How to Cite

Gaihong Lu. (2026). Reinventing the Global Services Value Chain under the Wave of Digitization: An Analysis Based on Nonlinear Regression Models. International Journal of Computer Information Systems and Industrial Management Applications, 18, 16. https://doi.org/10.70917/ijcisim-2026-0067

Issue

Section

Original Articles