Empowered by artificial intelligence and 5G technologies, intelligent messaging service instead of the existing short messaging service could provide an omni-channel service, thus achieving higher interconnection for mobile users. In this paper, we adopted mixed methods research and explored the psychological factors that affect adoption intention to adopt intelligent messaging services among mobile users based on self-determination theory. After semi-structured interviews, we constructed a partial least squares structural equation model from the perspectives of intrinsic and extrinsic motivations. In addition, openness and perceived complexity were also introduced as an extended dimension. Through an online survey, 548 valid questionnaires were obtained. The results show that intrinsic motivation has a greater effect on adoption intention. Specifically, attitude, perceived autonomy, perceived relatedness, and perceived system quality have significant positive impacts on the adoption intention of intelligent messaging, while perceived complexity has a negative direct impact on adoption intention. Although perceived competence and perceived media richness have no significant effects on adoption intention, an indirect effect on adoption intention through attitude was observed. Notably, perceived interactivity and openness have no effect on adoption intention. Through this study, we aim to provide guidance for developers to focus on mobile users’ psychological needs regarding upgraded interactive channels, which can accelerate the construction of an omni-channel media environment.

Supported by artificial intelligence and 5G techniques in mobile information systems, the rich communication services (RCS) are emerging as new media outlets and conversational agents for both institutional and individual users in China, which inherit the advantages of the short messaging service (SMS) with larger coverage and higher reach rate. The benefits can be fulfilled through media interactions between business and smart phone users. As a competitor of over-the-top services and social media apps, the adoption of RCS will play a vital role for mobile users. It is important to conduct quantitative research and reveal the behavioral intention to use (BIU) among RCS users. In this paper, we collect 195 valid respondents from university via an offline experiment and then build a structural equation model consisting of task characteristics (TAC), technology characteristics (TEC), task-technology fit (TTF), performance expectancy (PE), perceived risk (PR), perceived trust (PT), perceived convenience (PC) and satisfaction (SA). We find that SA, PC and PE have direct impact on BIU. TTF has indirect path connecting to BIU via PE and SA. The impacts of PT and PR on BIU are not significant. Performance results show that our proposed model could explain 49.2% and 63.1% of variance for SA and BIU, respectively. Through revealing the influencing factors of BIU, we can point out the user perception of the brand-new interactive channel and then provide the guidance for the large-scale commercialization of 5G RCS.