IGC知识服务用户持续使用意愿影响因素研究

Purpose/Significance]?Exploring?the influencing factors and mechanisms of users willingness to continue using the Artificial Intelligence Generated Content (AIGC) knowledge service?will help improve?service quality and competitiveness of AIGC knowledge service model related products. [Method/process]?First,?semi-structured interviews were conducted with users of AIGC knowledge service products, and progressive?coding was carried out using the Grounded theory analysis method, and 26 categories were obtained and 9 main categories were extracted.?Then, combined with relevant theories, a theoretical model of influencing factors of AIGC knowledge service users willingness to continue using?was constructed, and corresponding research hypotheses were put forward based on this model; Finally, based on the valid sample data of AIGC knowledge service users questionnaire survey,?the standardized scale was constructed, and the theoretical model of influencing factors of AIGC knowledge service users?willingness to continue using?was?verified by structural equation model method, and corresponding suggestions were?put forward for AIGC knowledge service practice.?[Result/Conclusion]?The verification results show that user perceived quality?of AIGC knowledge service (knowledge base content quality, interaction quality, and derivative function quality) has a direct positive impact on expected confirmation,?while the expected confirmation, perceived usefulness and user satisfaction have a significant positive impact on the?continuous use intention of users, while the perceived ease of use and perceived cost of AIGC knowledge service have no significant direct impact on its user satisfaction.