The Factors Influencing Artificial Intelligence Adoption Intention in Enterprise Management

Abstract

With the rapid development of artificial intelligence, the adoption of artificial intelligence has also brought many challenges, including technology ethics, data privacy, employee adaptability, market competition, etc. Especially in the highly competitive market environment, how enterprises can effectively use artificial intelligence to improve their competitiveness has become an important topic of common concern in academia and the business community. This study aims to explore the factors that affect the adoption of artificial intelligence in the context of emerging technology acceptance, and through analysis and summary, help enterprises better use artificial intelligence to help them improve management efficiency and performance. This study uses the Technology Acceptance Model (TAM) model combined with the Technology-Organization-Environment (TOE) framework to explore the factors that affect the adoption of artificial intelligence from the perspective of the impact of artificial intelligence on individuals and organizations. Using quantitative methods, the original data will be collected through questionnaires. Data analysis using 500 employees in Shanxi Province. The results of the study are expected to help enterprises better use artificial intelligence to improve management efficiency and performance.