A Study on the Determinants of User Continuance Intention in Social Media Intelligent Recommendation Systems from the Perspective of Information Ecology

This study employs literature analysis and integrates information ecology theory to categorize the determinants influencing user continuance intention in social media intelligent recommendation systems into four dimensions: individual factors, information factors, environmental factors, and technological factors. Data is collected through a questionnaire survey, and a qualitative comparative analysis method is utilized to validate the paths and combinations leading to user continuance intention in the context of social media intelligent recommendations. The research reveals that user continuance intention in social media intelligent recommendations is the result of the combined influence of individual factors, environmental factors, information factors, and technological factors, with flow experience and social influence playing primary roles in the process.