Mobile healthcare applications are of significant potential value in the development of the aged-care industry due to their great convenience, high efficiency, and low cost. Since the cognition and utilization rates of mobile healthcare applications for the elderly are still low, this study explored the factors that affect the elderly’s adoption of mobile healthcare applications. This study conducted a questionnaire survey on the elderly in China and received 365 valuable responses. This study combined the technology acceptance model, protection motivation theory, and perceived risk theory to build a research model of factors affecting the use of mobile healthcare applications by the elderly. The data were analyzed using a structural equation model. The results were as follows: according to the empirical research, (1) perceived usefulness and perceived ease of use positively affect the use attitude of the elderly; perceived usefulness and user attitude positively affect the behavior intention of the elderly; perceived ease of use positively affects perceived usefulness; (2) perceived severity has a significant positive correlation with use attitude; perceived susceptibility and attitude to use have no significant impact; (3) perceived risk is negatively correlated with the use attitude and behavioral intention. The above-mentioned factors should be taken into consideration during the development of mobile healthcare applications for the aged to upgrade the overall service quality of mobile healthcare applications, thus enhancing the operational level of mobile healthcare applications and the health literacy of the aged.

With the rapid development of network technology and smart technology, smart aged-care products are becoming increasingly valued for their ability to help the aged actively cope with the challenges of aging. However, seniors face challenges in using smart aged-care products for many reasons, which reduces their willingness to adopt them. As a result, the sustainable development of smart aged-care products is constrained. This study combined the unified theory of technology acceptance and use, perceived risk theory and perceived cost theory, and reconstructed a research model that investigated the adoption of smart aged-care products by the elderly in China. Questionnaires were given to older Chinese adults in this study, and 386 valuable responses were received. The findings of the structural equation model (SEM) analysis are as follows: (1) performance expectancy, effort expectancy, and social influence were positively related to the behavioral intention of seniors to use smart aged-care products; (2) perceived cost and perceived risk were negatively related to the behavioral intention of seniors to use smart aged-care products; (3) perceived risk indirectly affected use behavior through behavioral intentions; (4) facilitating conditions did not have a significant impact on the use behavior of seniors in adopting smart aged-care products. Based on the empirical results, this study sought to improve the use behavior of the aged in relation to the adoption of smart aged-care products, and provided suggestions to improve the overall service quality and sustainability of those products.

With the rapid development of AI intelligent technology, AIGC can bring an innovative revolution to art creation, providing designers with unlimited possibilities but also challenges. These challenges affect the willingness to adopt and constrain the sustainable development of AIGC. The purpose of this study is to analyse the factors of designers’ adoption intention behaviours. This study reconstructed the research model by combining the factors of AIGC technology characteristics and interactivity, technology acceptance model, technology readiness model, etc. The empirical study was conducted from the dual perspectives of AIGC application characteristics and designers’ psychology, in order to predict the factors that predict designers’ behavioural intentions to use AIGC. In this study, a questionnaire survey was conducted among designers in China and 462 valuable responses were received. Through structural equation modelling (SEM) analysis, the study found that: (1) AIGC’s technical features and interactivity positively affect perceived ease of use, and perceived usefulness, but the interactive features do not directly affect perceived usefulness; perceived ease of use and perceived usefulness positively affect designers’ intention to adopt AIGC applications; (2) optimism and innovation positively affect technical features and designers’ intention to adopt; Insecurity negatively affects designers’ willingness to adopt, and insecurity does not affect technical features; discomfort does not affect designers’ technical features and willingness to adopt. This study further extends the theoretical models of TAM(Technology Acceptance Model) and TRI(Technology Readiness Model), provides a theoretical basis for studying designers’ adoption behaviour of AIGC, and enriches the application groups and domains of the theoretical models of TAM and TRI. The results of this study provide inspiration for the development, design, and marketing of AIGC applications, contributing to the realisation and further adoption of AIGC applications, as well as to the professional development of designers.

The integration of production and education represents a common paradigm for vocational education development globally. In this study, project-based teaching serves as a crucial pedagogical model. However, the manifestation of this model in Chinese undergraduate vocational institutions has yet to reach the desired state of integration. The objective of this research is to advance the concept, service model, and platform framework for project-based teaching service design through empirical research by utilizing the Double-Diamond process of service design. The aim is to address service pain points for stakeholders against the backdrop of project-based teaching with the integration of production and education, thereby enhancing service qualvrtity. Five critical areas were identified, leading to the proposition of service concepts such as platforms for information communication, fund management, teaching management, auditing/evaluation management, and promotion management. The effectiveness and recommendation levels of the digital service concepts were validated via a Net Promoter Score survey involving 100 stakeholders. This research features targeted discussions and suggestions regarding a conceptual digital service platform. The five service concepts derived from this research may serve as specific digital designs for applications and evaluations of project-based teaching.

As a critical factor in determining a product’s success, users’ willingness to adopt artificial intelligence-generated content (AIGC) tools is a key driver for their sustainable development. As a new productivity tool, AIGC tool adoption by design students is influenced by various factors. However, there is a lack of systematic research on this topic in the academic community, which hinders the sustainable development of AIGC tools. Based on this, the study combines the Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-Technology Fit (TTF) models to construct a dual-perspective model—integrating “technology (external)” and “individual (internal)” dimensions—to investigate the key factors influencing design students’ willingness to adopt AIGC tools in their professional learning. A questionnaire was distributed to Chinese design students, resulting in 517 valid responses. The structural equation model (SEM) analysis yielded the following findings: Characteristics of AIGC Technology(CoAT) and students’ task characteristics positively influence task-technology fit. CoAT positively affect performance expectations(PE) but have no significant impact on effort expectations(EE). Task-technology fit positively influences use behaviors and performance expectations. Additionally, performance expectations, effort expectations, and social influences(SI) significantly enhance willingness to use, which in turn drives use behaviors(UB). Conversely, facilitating conditions(FC) do not affect use behaviors. Based on the empirical findings, this study discusses strategies for enhancing design students’ adoption of AIGC tools and provides recommendations for promoting their adoption and sustainability in design education.eing rejected by search engines.

The rehabilitation assistive device industry is an important field of innovative development in the health industry and occupies a huge consumer market share worldwide. The rehabilitation assistive device industry in China has developed rapidly in recent years, but there is still a gap between China and developed countries. How to improve the industrial competitiveness and promote the sustainable development of this industry is therefore the subject of this study. This study uses the “diamond model” to analyze the development status and competitiveness of China’s rehabilitation assistive device industry from six aspects: “production factors”, “demand conditions”, “related and supporting industries”, “market strategy and peer competition”, “opportunities” and “government”. It concludes that the industry chain is not perfect, the ability of independent innovation is weak, the vitality of market factors is not mobilized, and that there is a lack of systematic industrial policy support. Additionally, it puts forward the development countermeasures of integrating industrial resources, improving the industrial production chain, stimulating market demand, cultivating industrial talents, improving technological innovation, seizing opportunities, and improving industrial policies, laws and regulations. In this study, through the linkage analysis between the elements, it is believed that the elements affect each other. Therefore, in order to achieve sustainable development of the rehabilitation assistive device industry, all of the elements must be strengthened.