Standardization and Adaptability: A Study on the Technology Governance Strategies of Chinese AI Enterprises in Global Expansion

DOI

10.2991/978-94-6239-604-3_24How to use a DOI?

Keywords

Artificial intelligence governance; Technology standardization; Regulatory adaptability; Integration-responsiveness framework; Cross-border data compliance

Abstract

This research work attempts to investigate the mode in which Chinese AI enterprises balance technology governance tensions associated with standardization versus adaptability in international expansion operations in varying regulatory settings worldwide. By using a multiple case study research design with semi-structured interview approaches to corporate executives combined with extensive textual research, an integrated technology governance framework with technical standards, data privacy, and algorithm ethics perspectives is constructed. The outcome of the research work uncovers in its empirical findings that strategy profiles with varying dominance levels from technical standards-dominated strategies for enhanced operational efficiency to adaptability-dominated strategies for favorable cultural responses in international operations have been effectively employed by the enterprises, which are largely conditioned by varying levels of regulatory environment intensity, architecture modular levels for technology, and enterprise configurations. The research work applies integration-responsiveness theories in the areas of artificial intelligence and establishes a critical capability for international success in technology governance with approaches that could balance the need for global efficiency with locally achieved adaptability in technology governance on the international scene.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xuanwen Mo
AU  - Yingmei Wu
AU  - Shaobin Mo
PY  - 2026
DA  - 2026/02/26
TI  - Standardization and Adaptability: A Study on the Technology Governance Strategies of Chinese AI Enterprises in Global Expansion
BT  - Proceedings of the 5th International Conference on Economic Development and Business Culture (ICEDBC 2025)
PB  - Atlantis Press
SP  - 219
EP  - 227
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-604-3_24
DO  - 10.2991/978-94-6239-604-3_24
ID  - Mo2026
ER  -