Explore the AI Anxiety Attitude of E-Commerce Employees

Abstract

With the rapid development and widespread application of artificial intelligence (AI) technology in the e-commerce industry, understanding practitioners’ attitudes and psychological reactions to AI has become critical. This study explores the impact of AI on the anxiety of e-commerce professionals, establishes a structural equation model by constructing an integrated Artificial Intelligence Anxiety (AIA) framework, and analyzes the path relationships between various anxiety factors. The results show that Learning Anxiety and Job Replacement Anxiety are associated with Existential Risk Anxiety, AI Configuration Anxiety, and Sociotechnical Blindness Anxiety. The study further extends its analysis using a machine learning algorithm to assess the impact of each AIA variable and individual variables on job optimism. The results indicate that among the AIA variables, Job Replacement Anxiety has a significant negative impact on job optimism, while among the individual variables, gender has a significant negative impact. This study provides important insights into understanding the AI-related anxiety of e-commerce practitioners and offers implications for the management and development of AI in practice.