Navigating Career Competency, AI Integration, and Psychological Capital in China's Agritech Innovation Landscape

Abstract

This research investigates the intricate dynamics between Career Competency, Artificial Intelligence (AI) threat perception, and Psychological Capital, and how these elements influence Innovation Behavior within agritech companies in Zhejiang Province, China. Amidst rapid technological advancements and the integration of AI in agricultural practices, this study explores the transition of traditional agriculture into modern, technology-driven agriculture, examining the psychological and competency-related challenges faced by employees in this evolving landscape. The thesis delves into the nuances of Innovation Behavior, dissecting its conceptual definitions, theoretical underpinnings, and practical implications within the context of Chinese agritech enterprises. It scrutinizes the mediating role of Self-control and Job Performance in the relationship between AI threat perception and Innovation Behavior, providing a detailed analysis of how these variables interplay to shape innovative outcomes. Drawing from a rich body of literature, the research employs quantitative methods to dissect the perceived threats and opportunities brought about by AI, the psychological resources represented by Psychological Capital, and the resultant Innovation Behavior manifesting in the workforce. The study’s implications are far-reaching, providing strategic insights for fostering innovation in the face of technological disruption, with a focus on enhancing the Chinese agritech sector's competitive edge.