Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: This study aimed to analyze the influence of trust on the acceptance of artificial intelligence (AI) technologies among small and medium-sized enterprises (SMEs). Based on the modified Technology Acceptance Model (TAM), the relationships between trust and perceived usefulness, ease of use, attitude, and implementation intention were examined. Need for the study: In dynamic digital transformation, SMEs face limited resources, low technological competence, and uncertainty about AI's ethical and functional aspects. Previous studies have rarely considered trust as a central factor in AI adoption models in the SME sector. Filling this research gap became the main motivator of this project. Methodology: A quantitative research method based on structural equation modeling (SEM) was used, using a five-point Likert scale questionnaire. Data were collected from the management staff of SMEs in Poland. The relationships between constructs were analyzed using confirmatory factor analysis (CFA) and model fit indices. Findings: The results confirmed the significant influence of trust on perceived ease of use, usefulness, and attitude towards AI and indirectly on implementation intention. Trust was a key factor supporting the positive perception and acceptance of AI technologies in the SME environment. The model achieved high construct validity and a good fit to empirical data. Practical Implications: The study suggests strengthening trust in AI – through algorithm transparency, user education, certification, and ethical frameworks – should be essential to SMEs' digital transformation strategies. The results provide practical guidance for decision-makers, policymakers, and technology providers on effectively supporting AI adoption in the SME sector.