The Fourth Industrial Revolution, driven by advancements in information technology, has ushered humanity into the age of intelligence. As digital technologies like artificial intelligence and large-scale models continue to evolve and gain traction, the convergence of digital innovation and green development within manufacturing enterprises has emerged as a pivotal trend. This integration not only fosters high-quality, sustainable growth, but also increasingly validates the impact of digital intelligence on advancing low-carbon performance. This study delves into how manufacturing enterprises can attain sustainable and low-carbon growth via digital transformation, employing the entropy TOPSIS evaluation model to assess the effectiveness of various empowerment strategies. Based on the findings, the paper offers actionable recommendations for enhancing sustainable practices in manufacturing during this digital shift. Beyond enriching the theoretical framework on the synergy between digital intelligence and sustainability in manufacturing, this research provides practical insights and guidance for enterprises leveraging next-generation digital technologies to drive their green and low-carbon initiatives more effectively.

Objective: COVID-19 has negatively influenced industrial development, family consumption, and residents’ mental health. Unfortunately, it has not yet been studied whether this adverse situation can be alleviated after the relaxation of the COVID-19 control policy (RCC). Therefore, this study aimed to analyze the effect of the RCC on the resident’s mental health and the mediating effect of family tourism consumption.Methods: By using the PSM and mediating effetc model to research the panel data of two periods (April 2021 and April 2023) for Shaanxi province, China.Results: The RCC negatively inhibited the mental health severity of residents, and the mental health severity decreased by 0.602. In particular, the RCC showed the most substantial negative effect on residents’ stress, followed by anxiety and depression. Meanwhile, it is found that the impact of the RCC on the mental health of residents is highly heterogeneous. The RCC indicates a linear significant effect on the mental health of residents under 60 years of age, while the results were found insignificant for residents above 60 years of age. Meanwhile, the RCC’s improvement effect on urban residents’ mental health is greater than that of rural residents. In addition, mechanism analysis showed that tourism consumption plays a mediating role in the influence of the RCC on the mental health of residents, and the mediating effect accounted for 24.58% of the total effect.Conclusion: Based on the findings, the study proposes that government and policymakers should strengthen mental health intervention, improve access to mental health counseling, stimulate economic development, expand the employment of residents, and track the mutation of the novel coronavirus.

Digital technology is profoundly transforming the experiential landscape of tourism. However, its application does not necessarily produce cultural experiences, creating a critical bottleneck that constrains the sustainable development of the cultural tourism industry and broader societal culture. To address this gap, this study introduces psychological ownership theory as an overarching explanatory framework. It constructs and validates an integrated model that examines how digital technology characteristics (interactivity and innovativeness) influence cultural experience through three parallel mediating pathways: cognitive evaluation (perceived usefulness and ease of use), scenario construction, and flow experience. Based on 540 visitor questionnaires, structural equation modeling validated the theoretical model. Findings reveal that the interactivity and innovation of digital technology jointly stimulate visitors’ psychological ownership through three parallel pathways. Specifically, technological innovativeness exhibited the strongest effect on perceived ease of use (β = 0.387, p < 0.001), while the indirect effect via the flow experience path was also significant (effect size = 0.036). This process stimulates visitors’ psychological ownership, ultimately leading to cultural experiences. The study systematically reveals the pathways through which digital technology empowers cultural experiences across three dimensions: as a rational tool, an emotional narrative medium, and an intrinsic psychological catalyst. It highlights that strategically allocating technological resources to cultivate visitors’ psychological ownership is crucial for driving high-quality industrial development. Furthermore, the research offers significant implications for cultural sustainability, suggesting that such internally motivated identification provides a more effective foundation for the living transmission of culture and socio-cultural sustainability than external regulations or imposed norms.

Digital technologies are increasingly embedded in tourism performing arts, yet technology-intensive projects do not automatically generate profound cultural experiences. To explain this high-investment-but-low-experience dilemma, this study conceptualizes digital technology-enabled cultural experience as a configurational outcome of technological conditions and visitor-side psychological processing. Drawing primarily on the S-O-R framework and interpreted from a socio-technical systems perspective, digital technology interactivity and innovativeness are treated as stimulus conditions, while cognitive evaluation, scenario construction, and flow experience are treated as organism-level processing conditions. Psychological ownership theory is employed as a supplementary interpretive lens—rather than as a directly measured or tested mechanism—to explain why divergent configurational pathways may converge on high cultural experience through control, intimate understanding, and self-investment. Using fuzzy-set qualitative comparative analysis (fsQCA) with 540 valid questionnaires from visitors to tourism performing arts, the study finds that no single condition is necessary for high cultural experience. Instead, five sufficient configurations are identified: interaction–cognitive compensation, interaction–cognitive–flow synergy, dual-technology traction, innovation–scenario–immersion drive, and innovation–cognitive–flow compensation. The pathway to non-high cultural experience is asymmetric and is mainly characterized by the concurrent absence of technological, cognitive, scenario, and flow conditions. The findings re-specify the application of S-O-R theory in a configurational analytical context and provide a cautious socio-technical explanation of how technological and psychological conditions jointly shape cultural experience.