Empowering leadership can provide more resource support for organizations and better match the characteristics of current knowledge employees, such as a high demand for autonomy and pursuit of value diversification. However, existing literature has not fully clarified the specific cognitive transmission mechanisms linking empowering leadership to knowledge workers’ job crafting, nor has it sufficiently examined the boundary conditions of this relationship under specific individual traits. This study aimed to explore the impact of empowering leadership on knowledge employees’ job crafting by constructing a moderated mediation model. This study introduces role breadth self-efficacy as a mediating variable and learning goal orientation as a moderating variable and collects questionnaire data to investigate the underlying mechanisms among 338 knowledge employees. Empowering leadership has a positive effect on knowledge employees’ job crafting. Role breadth self-efficacy mediates the relationship between empowering leadership and job crafting. Learning goal orientation positively moderated the impact of empowering leadership on role breadth self-efficacy. Building an empowering leadership model with empowerment and psychological safety at its core can stimulate employees’ job crafting. Role breadth self-efficacy can be improved by challenging tasks and systematic training. The implementation of differentiated management based on learning-goal orientation strengthens the empowerment effect. These measures provide feasible paths for organizations to drive adaptive changes.

Despite the rapid penetration of digital technologies into the workplace, many enterprises are undergoing digital transformation, making safeguarding employees’ occupational health increasingly important. Drawing on social cognition and the conservation of resources theories, this study developed a moderated mediation model to explore the relationship between digital leadership and employee resilience, as well as the mediating roles of work gamification and workplace mindfulness and the moderating role of AI anxiety. Survey data from 293 employees revealed that digital leadership significantly and positively predicted employee resilience. Both work gamification and workplace mindfulness mediate the relationship between digital leadership and employee resilience. AI anxiety positively regulated the positive relationship between workplace mindfulness and employee resilience but did not significantly moderate the indirect pathway through work gamification. In addition, AI anxiety negatively regulates the direct positive effect of digital leadership on employee resilience. These findings clarify the mechanisms and boundary conditions through which digital leadership promotes employee resilience in digitally transformed workplaces. This study also offers practical implications for organizations seeking to protect employee well-being and reduce burnout during digital transformation.

Rapid urbanization has led to habitat fragmentation in peri-urban areas, continuously eroding the ecological foundation of sustainable food systems in urban–rural transition zones and posing a real threat to regional food security. Against the backdrop of urbanization disturbances, traditional nature-based solutions have limitations in addressing socioecological nonlinear responses, whereas digital tools offer new governance pathways for enhancing food system resilience. To elucidate the intrinsic mechanisms through which digital technology empowers the resilience of peri-urban food systems, this study, which is grounded in ecological wisdom theory, constructs a system dynamics model that integrates “digital technology-ecological perception-ecological wisdom capital” in a three-dimensional linkage. This model simulates the dynamic process through which sustainable food systems in urban–rural transition zones resist the risks of habitat fragmentation and achieve synergistic steady-state evolution. According to the simulation results, a synthesized steady-state transition in sustainable food systems can be regarded as a self-organizing phase transition process. During resource metabolism, system elements show strong nonlinear symbiotic and mutually beneficial features. Further, there is a significant time-lag effect on improving food system resilience through digital technology empowerment and policy coordination. Also, the effects of governance are not immediately visible. Further, as an important instrumental empowerment carrier, urban–rural spatial and information barriers can be broken through means like digital ecological monitoring. Moderate investment in this regard can promote the acceleration of the system’s self-organizing phase transition. Also, this can enhance resilience against disturbance from habitat fragmentation while ensuring food production and supply. Finally, the ecological carrying capacity of core food production spaces does not increase monotonically. This means that the system possesses an adaptive cyclical fluctuation mechanism, with a periodic oscillatory evolution of carrying capacity. This study breaks through static analytical paradigms, fills the quantitative research gap on the resilience evolution of peri-urban food systems driven by the integration of digital technology and ecological wisdom, and can provide scientific evidence and decision-making support for food–ecological collaborative governance in China’s urban–rural transition zones.

Against the backdrop of AI-driven digital transformation, digital creativity has emerged as a critical driver of corporate innovation. Consequently, investigating the mechanisms through which human–machine collaboration influences employees‘ digital creativity holds profound theoretical and practical significance. Grounded in the Job Demands-Resources (JD-R) theory, this study constructs a structural equation model to explore these underlying pathways, specifically examining the chain-mediating roles of technology acceptance and positive emotion. Using cross-sectional multi-source survey data from 401 employees, empirical findings reveal that human–machine collaborative behavior shows a significant positive association with employee digital creativity. Furthermore, technology acceptance serves as a primary cognitive channel, playing a crucial mediating role in this relationship. Collaboration with AI also indirectly fosters digital creativity by cultivating positive emotions, which supply the psychological momentum necessary for creative endeavors. Notably, the results confirm a serial mediation pathway, establishing the sequential pattern: “human–machine collaboration → technology acceptance → positive emotions → employees' digital creativity.” Ultimately, this study expands the scope of the JD-R theory by enriching its conceptualization of job resources in the digital era, while simultaneously offering multidimensional practical insights for leveraging human–machine collaboration to empower workforce creativity during enterprise intelligent transformation.

There can be no assurance about the mental health of college students in today’s digital information age without their personal digital health literacy. The current academic studies on this mechanism are in their infancy. This paper uses cognitive behavioral theory and stress response theory to build a chain mediation model of internet addiction and sleep quality. The study recruited participants from a pool of 407 college students and provided the students with standard scales, such as the e-HEALS, AMHLAQ, IAT, and ISI-C. The researchers used the SPSS 27.0 software to analyze the data and tested the mediation hypothesis using the Bootstrap method. The findings indicate a positive relationship between digital health literacy and mental health among college students. Additionally, the study found that internet addiction and sleep quality served as mediators. The complete chain was defined as digital health literacy → internet addiction → sleep quality, with the total indirect effect on college mental health measured at 0.6304. The study helped fill an academic void regarding digital health literacy. It demonstrated that internet addiction can be reduced and sleep quality and college students’ mental health can be improved. The study has both academic and professional merit. The study aids colleges in the application of digital intervention strategies and the development of mental health literacy among college students.