基于元分析的AIGC服务接受度影响因素研究OACHSSCD

[Purpose/Significance]The effect between AIGC service acceptance and factors from technical,user,and environmental perspectives remains inconsistent.These inconsistencies hinder a deeper understanding of the underlying acceptance mechanisms regarding the complexity of AIGC service.Furthermore,few studies provide reasonable analysis or explanation for these discrepancies,particularly concerning the regulatory role of potential moderating variables.This paper conducts a systematic quantitative literature review and meta-analysis of relevant primary studies.The findings hold significant reference value for clarifying the influence mechanisms of AIGC service acceptance,resolving theoretical contro-versies,and supporting various stakeholders in formulating strategic plans,management decisions,and service optimiza-tion schemes.[Method/Process]This study adopted meta-analysis as the core research method.This paper systematically retrieved Chinese and English literature on AIGC service acceptance from core academic databases published before April 1,2025.Based on strict inclusion and exclusion criteria,this paper obtained 171 valid primary studies suitable for meta-analysis.This study coded 182 independent samples which include 943 effect sizes of coefficient.The Analysis used CMA V3.3 software to examine the overall impact of 29 key factors across three dimensions—technology,user,and environment—on AIGC service acceptance.This paper further investigated the sources of heterogeneity in these relationships from the perspectives of user acceptance type,contextual factors,and measurement factors.[Result/Conclusion]The results indi-cate that usefulness(technical dimension),AI application and attitude(user dimension),and fitness and organizational effectiveness(environmental dimension)demonstrate the strongest positive correlations with AIGC service acceptance,identifying them as core drivers of user acceptance.Nineteen variables,such as ease of use,usage motivation,facilitating conditions,and other influencing factors show moderate positive correlations with the acceptance of AIGC services.In con-trast,anthropomorphism(technical dimension)and personal traits and ethical awareness(user dimension)have weak posi-tive correlations with this acceptance.Eight moderating variables—namely acceptance type,attitude type,usage type,AIGC application field,AI type,literature type,national culture,and publication year—exert significant moderating effects on the relationships between the influencing factors and AIGC service acceptance.This study integrates and expands theories related to AIGC service acceptance,effectively reconciles inconsistent conclusions in prior research,explains the root causes of these inconsistencies,and provides a solid theoretical foundation for the precise operation,mana-gement,and high-quality development of AIGC services.