Exploring technology, organization and environmental factors driving firms generative AI adoption intention: The moderating role of trans-parasocial relation
Document Type
Article
Publication Date
2025
Department/School
Marketing
Publication Title
Journal of Business & Industrial Marketing
Abstract
Purpose: This paper aims to determine how technological, organizational and environmental factors affect the intention to adopt generative artificial intelligence (Gen-AI) in the financial services industry. Design/methodology/approach: A conceptual model based on the technology-organization-environment framework and the resource-based view theory is proposed and empirically tested, using survey data collected from 188 managers of Chinese financial firms. Findings: The results show that the model’s technological (learnability, error), organizational (organizational innovation capability, organization learning orientation) and environmental (competitive pressure) factors have a significant positive impact on the intention to adopt Gen-AI. In addition, trans-parasocial relation is a moderating variable in these relationships. Originality/value: The results offer valuable insights for providers and managers of Gen-AI technology in the retail company sector, to help establish more effective procedures to facilitate the successful adoption of Gen-AI technology.
Link to Published Version
Recommended Citation
Yuan, C., Yin, Y., Wang, S., Zhang, Z., & Moon, H. (2025). Exploring technology, organization and environmental factors driving firms generative AI adoption intention: The moderating role of trans-parasocial relation. Journal of Business & Industrial Marketing, 40(5), 1146–1159. https://doi.org/10.1108/JBIM-04-2024-0257
Comments
H. Moon is a faculty member in EMU's Department of Marketing.