The International Journal of Management Education 2026
From information evaluation to technology use: Generative AI adoption in Chinese business schools
Corresponding author: Chengliang Wang
DOI 10.1016/j.ijme.2026.101430
Issue publication: 2026-12.
Research summary
Integrating the Information Adoption Model and Technology Acceptance Model, this survey of 672 business school students examines GenAI adoption. Ease of use, argument quality and source credibility are associated with perceived usefulness, which relates to adoption intention and reported use. Expertise and demographic and experience differences shape these relationships.
Study design.
Survey of 672 business school students, analyzed using PLS-SEM, expertise moderation and demographic and experience-based multigroup comparisons.
Abstract
Research context
How does evaluating AI-generated information relate to students' perceived usefulness, adoption intention and reported use?
This study connects evaluations of AI-generated information with technology acceptance, examining expertise and differences across gender, educational level and prior AI experience.
generative AI · information adoption · technology acceptance · source credibility · PLS-SEM
中文研究介绍
研究整合信息采纳模型与技术接受模型，基于672名商学院学生的问卷分析GenAI采纳。易用性、论据质量和来源可信度与感知有用性相关，并进一步关联采纳意愿及报告的使用行为；专业知识、人口学特征和AI使用经验影响这些关系。
Read and cite
Yu, T., Dai, J., Chen, X., & Wang, C. (2026). From information evaluation to technology use: Generative AI adoption in Chinese business schools. The International Journal of Management Education, 24(3), 101430. https://doi.org/10.1016/j.ijme.2026.101430