摘要 : Purpose The rapid growth of the logistics industry is pivotal for economic expansion. However, it poses significant sustainability challenges due to its energy consumption and environmental impact. This study aims to establish a comprehensive evaluation index system for economy, logistics and ecology (ELV) to assess their synergistic dynamics and strategic development. Design/methodology/approach A comprehensive evaluation index for ELV was constructed using 23 indicators across 9 dimensions. The entropy method was used to objectively weigh the indicators and a coupling coordination degree model was employed to measure the level of coupling coordination development of the ELV. The grey correlation degree model was used to analyze the factors influencing collaborative development. Findings Using the Yangtze River Delta (YRD) region as the research object, the findings reveal an overall upward trend in the coupling coordination degree of ELV across YRD, with significant disparities among provinces. Innovation capacity, logistics sector size and economic growth were identified as the primary influencers. Originality/value This study innovatively integrates economic, logistical and ecological indicators into a unified metric, offering a novel framework for evaluating their coordinated development. By combining multiple analytical methods, this study provides a nuanced understanding of ELV interdependencies and regional disparities, providing practical guidance for achieving a harmonious coexistence of the ELV.

摘要 : Against the growing prominence of the digital economy, leveraging corporate digital transformation (CDT) to foster corporate disruptive innovation (CDI) has become critical for enhancing firm resilience and long-term profitability. Despite this importance, existing research offers limited evidence on the relationship between CDT and CDI in modern market economies. Using panel data on Chinese listed firms from 2013 to 2022, we employ two-way fixed-effects and difference-in-differences (DID) models to examine the causal impact of CDT on CDI and to explore the underlying mechanisms. We introduce top management faultlines (fau) as moderating factors. The results show that CDT significantly promotes CDI, and this effect is further amplified in firms with stronger top management faultlines. Our findings provide new empirical evidence on the innovation consequences of digital transformation and offer important policy and managerial implications for advancing CDT and fostering disruptive innovation.

摘要 : Increasing human disturbance (HD) is accelerating the erosion of ecosystem health (EH), posing severe and far-reaching threats to human well-being and ecosystem security. Although this issue has drawn global attention, existing studies predominantly focus on linear relationships between the two, while systematic exploration of nonlinear relationships and threshold effects between HD and EH has received limited attention. This knowledge gap hinders the formulation of precise strategies. This study employs an interpretable machine learning approach that combines an XGBoost model with SHAP analysis to systematically quantify the nonlinear impacts and threshold effects of multiple HD variables on the ecosystem health index (EHI) in the Taihu Basin from 2000 to 2020. A composite human disturbance index (HDI) is further constructed, and piecewise linear regression is used to identify critical thresholds in the HDI–EHI relationship. The results indicate that: (1) Land use intensity, population density, and night light are the primary driving variables, with SHAP contribution rates of 55.90%, 21.79% and 13.72%, respectively; (2) EHI responds to land use intensity, and population density in an inverted U-shaped manner, with recommended thresholds of land use intensity <0.7 and population density < 0.8, whereas night light has a monotonically negative effect with a critical threshold at 0.6; (3) The study reveals critical inflection points of impact of HDI on EHI, categorizing them into four stages: moderate promotion, critical decline, sustained resilience, and excessive collapse, presenting typical threshold transition characteristics, and shows that EHI declines sharply once HDI exceeds approximately 0.666. Based on these findings, we propose targeted planning and management strategies at different levels, emphasizing the importance of “pre-threshold proactive intervention” in preventive ecological planning and management. This research provides a new perspective for understanding complex social-ecological system relationships and offers robust support for achieving Sustainable Development Goals.

摘要 : Purpose The development of smart construction sites (SCS) enhances construction efficiency, safety management and sustainability. However, the underlying factors influencing SCS remain insufficiently explored, hindering the creation of effective strategies within the construction industry. The aim of this study is to identify the key factors influencing the development of SCS and to construct a complex network model where these factors are represented as vertices and their interrelationships as edges. This model facilitates a dual-level analysis: examining both the significance of individual factors and the structural patterns of their interconnections, providing theoretical insights that could inform the future advancement of SCS. Design/methodology/approach Through a comprehensive review of the literature, 31 influencing factors across seven dimensions were identified. A questionnaire survey was conducted to gather insights from 58 professionals in the construction industry. Based on the survey data, an adjacency matrix was constructed, with the influencing factors represented as vertices and their interrelationships as edges within the network. Using these vertices and edges, the Smart Construction Site Influencing Factor Network (SCSIFN) was constructed, and its topological characteristics and network efficiency were analyzed to derive the findings. Findings The degree distribution, betweenness centrality and clustering coefficient of the various vertices differ significantly, highlighting that the influencing factors exert varying levels of impact within the SCSIFN. The topological characteristics of SCSIFN reveal that it exhibits characteristics of both a small-world network and a scale-free network, indicating that influence among factors can spread rapidly and concentrate on a few key factors. The technical standard and scientific research system are the two vertices within the SCSIFN that have the most significant impact on network efficiency. Research limitations/implications A key challenge lies in quantitatively identifying and establishing the relative importance of influencing factors, particularly in assigning appropriate weights to vertices and edges during the construction of the SCSIFN. Practical implications The network-based approach provides a practical framework for comprehensively understanding the influencing factors in SCS development. This study offers targeted guidance for policymakers and practitioners by identifying the most critical factors, such as technical standard and scientific research system. These insights can help prioritize resource allocation, enhance technical training programs and support the development of standardized regulations, among other things. Originality/value By developing a new SCSIFN model, this study provides valuable insights into the key characteristics of critical factors and their interactions, making contributions to both academic research and industry practice. The findings could aid in the formulation of more flexible strategies for advancing the development of SCS.

摘要 : Despite extensive micro- and macro-level research on divorce in China, its spatial diffusion remains underexplored. Using the Chinese Census data (2000 to 2020) and spatial Durbin model, this study investigates the spatial dynamics of divorce at prefecture level and examines associated socio-economic factors. Our analysis reveals significant spatiotemporal variation in divorce rates across China. Prefecture-level cities in western and northeastern regions form two major high-divorce clusters, while central and eastern regions display substantial internal heterogeneity. These patterns reflect the interplay of multiple forces, including urbanization, uneven regional development, institutional arrangements, and persistent family traditions, resulting in differentiated regional trajectories of family change. Furthermore, the effects of urbanization on divorce vary over time, reflecting differences in developmental stages and socio-economic conditions. We also find that spatial interactions among neighboring prefectures are crucial for understanding the diffusion of divorce. By identifying endogenous trends (e.g., the Northeast) and exogenous trends (e.g., the central region), this study highlights the temporal and regional heterogeneity of divorce dynamics. Overall, our findings contribute to debates on family modernization in China and enrich the literature on family demography from a spatial diffusion perspective.

摘要 : This study employed event-related potentials (ERPs) to investigate how emotion priming modulates the comprehension of within-sentence code-switching in Chinese-English bilinguals. Using a dual-task paradigm combining emotion priming and sentence comprehension, we adopted a 3 (emotion: happy, neutral, fear) × 2 (language: L1, L2) × 2 (context: non-switch, switch) within-subjects design. Behavioral results revealed that emotion priming dynamically shaped code-switching costs by reallocating cognitive control resources: negative emotion (fear) amplified the L1 advantage (smaller switching cost compared to L2), whereas positive emotion (happy) attenuated this asymmetry. ERP results demonstrated a stage-specific, dynamically coupled neurocognitive mechanism: during early perceptual encoding (EPN, 100–300 ms), emotion interacted with language type and hemisphere; in the conflict monitoring stage (N2, 180–360 ms), language type dominated, with emotion modulating monitoring sensitivity; during semantic integration (N400, 380–500 ms), language remained central, while emotion and context jointly influenced processing depth; in the late evaluative stage (LPC, 600–850 ms), language and context drove reanalysis, with emotion exerting only selective modulation. These findings reveal a hierarchical "stage-differentiated, dynamically coupled" mechanism through which emotion regulates bilingual code-switching comprehension, offering novel insights into the interplay among emotion, language, and cognitive control in the bilingual brain.

摘要 : Artificial intelligence is increasingly used to design cultural and creative products, yet consumer acceptance varies considerably. Personality traits may play a key role in shaping these responses, but research has not examined how nostalgia proneness — an individual's dispositional tendency to long for the past — influences attitudes toward AI-designed cultural products. This study investigated whether nostalgia proneness predicts lower acceptance of such products through reduced perceived authenticity, and whether need for uniqueness moderates this indirect pathway A cross-sectional survey was conducted with 291 Chinese university students. Participants viewed images of museum cultural products explicitly labeled as AI-designed and completed measures of nostalgia proneness (Southampton Nostalgia Scale, 7 items), perceived authenticity (8 items), need for uniqueness (8 items), and acceptance of AI-designed cultural products (5 items). A moderated mediation model (PROCESS Model 14) was tested using bias-corrected bootstrap confidence intervals with 5, 000 resamples. Nostalgia proneness negatively predicted acceptance of AI-designed cultural products (B = − 0.29, p < 0.001). Perceived authenticity partially mediated this relationship' the indirect effect was significant (ab = − 0.129, 95% CI [− 0.198, − 0.071]), accounting for 44.6% of the total effect. Need for uniqueness moderated the second stage of the mediation path: the positive effect of perceived authenticity on acceptance was stronger among individuals with low need for uniqueness (B = 0.50) than among those with high need for uniqueness (B = 0.22). The index of moderated mediation was significant (index = 0.061, 95% CI [0.013, 0.124]), confirming that the negative indirect effect was attenuated as need for uniqueness increased. Consumers higher in nostalgia proneness are less accepting of AI-designed cultural products, largely because they perceive such products as less authentic. However, this negative pathway is attenuated among consumers with a stronger need for uniqueness, who are less reliant on authenticity judgments when evaluating AI-designed offerings. These findings extend nostalgia psychology to the domain of AI acceptance and provide actionable insights for culturally sensitive AI product marketing strategies.

摘要 : Purpose The increasing unexpected contingencies make resilience indispensable for project teams. Drawn on input–process–outcome (IPO) framework, this study aims to investigate how and when team mindfulness (i.e. input) fosters team resilience (i.e. outcome) via team formalization and team improvisation (i.e. process) under boundary conditions of the shared mental model.Design/methodology/approach By conducting a three-wave research design, this paper collects 312 questionaries from the Chinese construction industry. The proposed hypotheses were tested by hierarchical regression analysis and structural equation modeling.Findings The results confirm that team mindfulness exerts a positive effect on team resilience. The positive relationship is mediated by team formalization and team improvisation. In addition, the shared mental model serves as a buffering moderator between team mindfulness and team resilience via team improvisation.Practical implications This study suggests managers take appropriate interventions of mindfulness to foster team resilience. Making explicit procedures for risk management and taking improvisational action appropriately are also key processes for addressing crises.Originality/value This study enriches the literature on the positive prediction effect of team mindfulness on team resilience. Combining team formalization with team improvisation, this study provides new alternatives for the process variables in the IPO framework. Furthermore, this paper reveals the "dark side" of the shared mental model on the relationship between team mindfulness and team resilience.

摘要 : This study employed eye-tracking technology to investigate the effect of memory load on language switching during Chinese-English bilingual sentence comprehension. Using a within-subject experimental design with three levels of load (low, medium, high), two language types (Chinese, English), and two context types (non-switch, switch), the study collected behavioral measures and eye-tracking measures. The results revealed that under high load, switching from English (L2) to Chinese (L1) resulted in the longest reaction times and the highest costs, whereas switching into L2 consistently yielded switch benefits. Eye-tracking data indicated a dissociation between temporal and spatial dimensions at the sentence level, with switch effects demonstrating contrasting patterns. Similar processing patterns were observed at the target word across the early and late stages, with a significant increase in the effect in the latter. These findings suggest that language-switching costs are not fixed but adaptable, with cognitive load modulating the interplay between language and context, highlighting the intricate relationship between domain-general cognitive control and language-specific switching mechanisms.

摘要 : This study investigated how self-uncertainty influences benevolent creativity (BC) and malevolent creativity (MC), and whether creative goal orientation (BC versus MC) moderates these effects. Two experiments were conducted. In Experiment 1, self-uncertainty was induced through mental simulation. In Experiment 2, self-uncertainty was induced via a personal writing task. In both experiments, participants completed tasks measuring BC and MC, and creative performance was assessed in terms of fluency, originality, and flexibility. • Experiment 1: Self-uncertainty significantly increased MC fluency but not BC fluency, resulting in a significant interaction between self-uncertainty and creative goal orientation. Self-uncertainty also enhanced originality across both creativity tasks. BC generally exceeded MC in fluency and flexibility. Flexibility showed a marginally significant interaction. • Experiment 2: Self-uncertainty increased fluency in both BC and MC tasks, with no significant interaction. Self-uncertainty showed mixed effects on creativity across the two experiments, primarily enhancing fluency. The predicted moderation by creative goal orientation emerged only in Experiment 1. These findings highlight the importance of examining boundary conditions—such as the specific induction method—in the relationship between self-uncertainty and creative performance.