Investigating the impact of artificial intelligence on human resource functions in the health sector of China: A mediated moderation model

Examining the influence of technological self-efficacy, perceived trust, security, and electronic word of mouth on ICT usage in the education sector

The context of education has changed due to revolutionary developments in the information communication technology (ICT) industry in the post-COVID era. Innovative learning methods were introduced in the education sector to promote quality education. The students find it more convenient to use ICT tools to integrate their knowledge-seeking. China has recently paid more attention to developing and adopting electronic infrastructure. The study assesses the effect of technology self-efficacy (TSE) on ICT acceptance and implementation in China's education sector. It also analyzed the role of perceived trust, perceived security, and electronic word of mouth (eWOM) in integrating digital information sharing and interaction tools. Data is collected from 382 business students at Chinese universities. The results revealed that perceived trust mediates the relationship between TSE and the actual use of ICT tools, intention to use ICT tools for information, and intention to use ICT tools for interaction. Further, perceived security and eWOM significantly moderate the relationship between TSE and perceived trust. The findings indicate that it is essential to offer assistance and instruction to students in the educational sector so they can use ICT technology more frequently. It is also crucial for organizations to establish a supportive culture and provide the necessary technological resources to facilitate the use of ICT.

Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning

The advancement of artificial intelligence (AI) and the ubiquity of social media have become transformative agents in contemporary educational ecosystems. The spotlight of this inquiry focuses on the nexus between AI and social media usage in relation to academic performance and mental well-being, and the role of smart learning in facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) on a sample of 401 Chinese university students. The study results reveal that both AI and social media have a positive impact on academic performance and mental well-being among university students. Furthermore, smart learning serves as a positive mediating variable, amplifying the beneficial effects of AI and social media on both academic performance and mental well-being. These revelations contribute to the discourse on technology-enhanced education, showing that embracing AI and social media can have a positive impact on student performance and well-being.

Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students

5G technology continues to evolve, and its potential to revolutionize various aspects of society is becoming increasingly evident. However, the successful adoption and utilization of 5G technology depends on various factors, particularly among consumers expected to be early adopters and critical drivers of technological advancements. This study investigates the effect of social influence, environmental awareness, and safety affordance on Chinese university students' actual use of 5G (AU5G) technologies. It also analyzed the mediating role of trustworthiness and intention to use 5G (ITU5G) between them and the moderating role of facilitation conditions between trustworthiness and ITU5G. Data was collected from university students (n = 364) in Beijing and was examined employing the structural equation modelling (SEM) approach. The outcomes confirm that trustworthiness and ITU5G significantly mediate the relationship between social influence, environmental awareness, and safety affordance on AU5G technologies among Chinese students. Further, the supportive facilitation conditions strengthen the relationship between trustworthiness and ITU5G. These findings are backed by UTAUT2 models that support the technology acceptance and adoption among the users. The study outcomes can help policymakers design strategies to address potential barriers and encourage greater uptake of 5G services among university students.

Impact of gamification on green consumption behavior integrating technological awareness, motivation, enjoyment and virtual CSR

Gamification entails integrating game design elements, including rewards, points, competition, and interactive challenges, into non-game contexts to engage and motivate individuals. In the context of green consumption, gamification can encourage individuals to acquire more sustainable consumption behaviors. The proposed study aims to examine the influence of gamification on green consumption behavior among Chinese university students. However, university students are considered an important target group for such interventions due to their technological savvy and high interest in environmental issues. A self-determination theory (SDT) was used to measure the motivating factors of gamification for adopting green consumption behavior-a convenience sampling technique in which survey-based research designs were used to collect the data. A survey was conducted on a sample of 332 university students in China, using a questionnaire with structural equation modeling (SEM) to test the hypotheses and assess the proposed relationships between the variables. The finding of this study reveals that gamification has a significant negative relation with green consumption behavior. Further, technological awareness, hedonic motivation, and perceived enjoyment significantly mediate the relationship between gamification and green consumption behavior. Additionally, virtual CSR significantly moderates the relationship between gamification and technological awareness, hedonic motivation, and perceived enjoyment. The findings of this study could have implications for the development of more effective interventions for policy makers and industrialists aimed at promoting sustainable consumption behaviors in China.