Search Results (509)

The conservation of traditional villages has shifted from isolated site-by-site protection to regional collaboration, and exploring pathways for their sustainable development has become a key focus of research. Existing research still falls short in areas such as the integration of heritage value into decision-making mechanisms and the establishment of systematic conservation frameworks, leading to prominent issues of isolated conservation and homogeneous development. Taking traditional villages in Yanchuan County, China, as a case study, this research aims to establish a clustered conservation system and achieve a transition towards networked collaborative governance. The study utilised field surveys and literature review to establish a database and systematically catalogue heritage resources; it combined the Analytic Hierarchy Process (AHP) and the Delphi method to construct a value evaluation system and identify distinctive features; and it integrated cluster theory with GIS spatial analysis to construct a clustered conservation framework across three dimensions: classification and grading, symbiotic models, and the overall spatial pattern. The results indicate that: (1) the spatial distribution of villages in Yanchuan County is uneven, and the villages themselves exhibit significant homogeneity in their characteristics; (2) core characteristics include Loess culture, cave dwellings and revolutionary heritage sites, with comprehensive scores ranging from 0.4437 to 0.9116; these are classified into three protection levels, identifying five categories of villages of value. (3) Five major cluster zones were delineated based on resource and spatial characteristics. By integrating river basins and transport corridors, a comprehensive protection framework of ‘one belt, two wings, two centers and five zones’ was established, alongside three types of cluster symbiosis models, thereby achieving regional resource integration and enhancing collaborative efficiency. The cluster-based protection system proposed in this study can effectively address the challenges facing the conservation and development of traditional villages, providing a feasible solution for regional collaborative protection, and holds practical significance for cultural heritage management and sustainable development. Full article

In August 2022, the Pearl River flooded portions of Jackson, Mississippi and temporarily closed the city’s water treatment plant, leaving most citizens without access to safe drinking and potable water for more than a month. This event punctuated an ongoing water crisis that had lingered for decades in this predominately African American city. We employ a social production of disaster approach to reveal aspects of slow violence perpetrated against disadvantaged peoples that increased their collective vulnerability to flood risks and limited their access to safe water. Using survey data collected one year after the flood, we examine event-related psychosocial stress as measured by the Impact of Event Scale and associated risk factors related to Conservation of Resources Theory. Multivariate analysis indicates that resource losses from the flood, health concerns about water quality, and trust in government were significantly related to elevated levels of psychosocial stress. Although the 2022 Pearl River flood can be treated as a discrete event, a social production of disaster perspective situates the flood in terms of its cascading effects and cumulative impacts on the city’s water infrastructure and citizens who depend on it. Full article

Teacher well-being and performance represent critical challenges for educational systems worldwide. While organizational compassion has been identified as a protective resource, it remains unclear for whom compassion is most beneficial. Drawing on Job Demands–Resources (JD-R) theory and Conservation of Resources (COR) theory, we examined whether teachers’ self-efficacy moderates the relationship between workplace compassion and performance perceptions, testing differential patterns for individual versus organizational performance evaluations. Italian public-school teachers (N = 218; 82% female; M teaching experience = 11.6 years) completed an online survey measuring compassion at work, self-efficacy, and perceptions of individual and organizational performance. We employed a two-stage approach, first validating the measurement model through Confirmatory Factor Analysis (CFA), then testing moderation hypotheses using path analysis with mean-centered variables. Bootstrap confidence intervals (5000 iterations) verified the reliability of interaction effects. Self-efficacy significantly moderated the effect of compassion on individual performance perceptions (β = −0.006, p = 0.006; bootstrap 95% CI: [−0.010, −0.002]), revealing a compensatory pattern. Teachers with lower self-efficacy benefited substantially from workplace compassion (simple slope β = 0.31, p < 0.001), whereas teachers with high self-efficacy showed no significant benefit (β = 0.06, ns). The hypothesized synergistic effect on organizational performance perceptions was not supported (β = 0.006, p = 0.027; bootstrap CI included zero). Organizational compassion functions as a compensatory resource, most powerfully supporting teachers who lack personal resources. This challenges assumptions that organizational interventions uniformly benefit all employees and suggests that compassion-based interventions should be strategically targeted toward teachers experiencing lower self-efficacy. The study advances theoretical understanding of resource substitution mechanisms and provides actionable guidance for optimizing limited organizational resources in educational settings. Full article

As generative artificial intelligence (AI) becomes increasingly involved in creative processes, designers encounter a fundamental tension regarding creative control—the degree to which they dominate design direction and iterative decision-making when collaborating with AI. Existing theories offer contradictory predictions: self-determination and psychological ownership theories emphasize the benefits of control, whereas cognitive load theory highlights its cognitive costs. This tension remains empirically unresolved, particularly regarding how designer characteristics shape these competing effects. This study examines the dual-pathway mechanism linking creative control to design creativity and investigates the moderating role of design experience. A scenario-based between-subjects experiment was conducted with 226 designers and design students. Creative control exerted a positive indirect effect on design creativity through psychological ownership (effect = 0.16, 95% CI [0.09, 0.24]) and a negative indirect effect through cognitive load (effect = −0.07, 95% CI [−0.14, −0.02]), confirming the double-edged sword effect. Design experience strengthened the positive pathway while buffering the negative pathway. Creative control thus functions as a double-edged sword in designer-AI co-creation, with its net effect contingent on designer expertise. The results extend Conservation of Resources theory to human-AI collaboration contexts and inform the design of experience-adaptive AI-assisted systems. Full article

The expansion of digital connectivity has reshaped contemporary work environments, increasing flexibility while simultaneously blurring the boundaries between work and personal life. In such contexts, employees may experience difficulties in psychologically detaching from work during off-job time. Drawing on the Effort–Recovery model and Conservation of Resources theory, this study examined whether affective work-related rumination indirectly explained the association between Fear of Missing Out (FoMO) and psychological detachment. A cross-sectional survey was conducted with 228 employees from diverse occupational sectors who completed validated measures of FoMO, affective rumination, and psychological detachment. Indirect effect analyses using bootstrapping procedures indicated that FoMO was positively associated with affective rumination, and affective rumination was negatively associated with psychological detachment. The indirect effect was significant, whereas the direct association between FoMO and detachment was not. These findings are consistent with an indirect association pattern whereby FoMO is related to lower psychological detachment through higher levels of affective rumination. However, given the cross-sectional design, the results should be interpreted as correlational evidence rather than as demonstrating a causal mediation process. The model accounted for approximately 10% of the variance in psychological detachment. Overall, the findings suggest that FoMO may be indirectly related to reduced recovery experiences via emotionally charged repetitive thinking that sustains cognitive activation beyond working hours. Addressing rumination and supporting healthier digital boundary management may therefore represent promising avenues for supporting occupational mental health in increasingly connected work environments. Full article

Migrant workers are a unique group under China’s urban–rural dual system, and improving their well-being is an intrinsic requirement for achieving common prosperity. In recent years, human–robot collaboration has come forth as a novel work paradigm. Comprehending the influence of human–robot collaboration on the well-being of migrant workers is a vital yet insufficiently investigated matter. With the conservation of resources theory as an analytical framework, this study empirically analyzes data from a two-stage survey of 382 migrant workers in Chinese manufacturing enterprises. The findings suggest that perceived human–robot collaboration can positively influence migrant workers’ well-being by facilitating perceived decent work, while also negatively affecting their well-being by increasing job replacement anxiety. Perceived organizational support plays a positive moderating role in two distinct aspects: on the one hand, the relationship between perceived human–robot collaboration and perceived decent work; on the other hand, the mediating effect through which perceived decent work connects perceived human–robot collaboration with the well-being of migrant workers. Conversely, perceived organizational support exerts a negative moderating effect on the association between perceived human–robot collaboration and job replacement anxiety, while job replacement anxiety functions as a mediator in the relationship linking perceived human–robot collaboration to migrant workers’ well-being. This study helps understand how human–robot collaboration in manufacturing enterprises affects the well-being of migrant workers. Full article

Artificial intelligence (AI) technologies, such as service robots, substantially influence frontline employees in the hospitality sector. This study highlights that conversational AI (CAI) may function as a viable outlet for hospitality workers to vent negative work-related issues. This function is particularly relevant because employees in this industry frequently experience customer mistreatment. Grounded in conservation of resources theory, we conceptualize venting to CAI as a resource-replenishing coping strategy triggered by customer mistreatment. Further, we theorize that this relationship is mediated by emotional exhaustion and moderated by trust in CAI, thereby strengthening the indirect effect. We collected and analyzed two-wave data from 394 frontline employees with CAI experience in the hospitality industry. The results indicate that customer mistreatment indirectly impacted frontline employees’ venting behaviors towards CAI, with emotional exhaustion functioning as the mediating mechanism. This indirect effect is particularly pronounced when employees exhibit high levels of trust in CAI. These findings offer practical insights for hospitality organizations aiming to leverage CAI as an accessible, low-risk tool for supporting employee emotional well-being and mitigating the negative consequences of customer mistreatment. Full article

This study examines how abusive leadership influences non-green behavior among employees in five-star hotels in Egypt, drawing on Conservation of Resources (COR) theory and the Job Demands–Resources (JD–R) model. Using survey data collected from 400 full-time hotel employees, the study investigates the mediating roles of emotional exhaustion and presenteeism, as well as the moderating role of perceived co-worker support. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to test the proposed relationships. The results indicate that abusive leadership increases emotional exhaustion and presenteeism, both of which contribute to higher levels of non-green behavior. Emotional exhaustion mediates the relationship between abusive leadership and non-green behavior, while presenteeism partially mediates the link between abusive leadership and emotional exhaustion. Additionally, perceived co-worker support buffers the negative effect of presenteeism on emotional exhaustion. By integrating COR and JD–R perspectives, this study advances understanding of the psychological mechanisms through which abusive leadership undermines environmentally responsible behavior. The findings offer practical insights for hospitality managers seeking to promote employee well-being and sustainability in high-pressure service environments. Full article

While prior research shows that subordinates’ attributions can amplify or buffer the negative effects of abusive supervision on performance outcomes, it remains unclear whether similar moderating effects extend to subordinate well-being. Drawing on attribution theory and conservation of resources (COR) theory, this study investigates whether performance-promotion and injury-initiation attributions moderate the relationship between abusive supervision and emotional exhaustion. Applying a time-lagged research design, we surveyed full-time employees (N = 224) within a single Chinese transportation company and tested the proposed hypotheses using structural equation modeling (SEM). Contrary to the expectations and prior evidence, the moderating effect of injury-initiation attribution between abusive supervision and emotional exhaustion is nonsignificant. Moreover, performance-promotion attribution significantly moderates this relationship, in the opposite direction to the expectations: It exacerbates (rather than buffers) the positive association between abusive supervision and emotional exhaustion. These findings complicate the assumption that performance-promotion attributions are protective whereas injury-initiation attributions are destructive, instead suggesting a different pattern of attributional effects. The study advances the understanding of abusive supervision attributions and provides implications for management practice. Full article

This systematic review synthesizes empirical applications of the theory of planned behavior to employee green behavior, including only studies that are consistent with the theory’s assumptions and methodological requirements. In doing so, the review reconciles a fragmented, discipline-specific body of knowledge, provides a rigorous assessment of the TPB’s validity in organizational contexts, and clarifies standards for theory-consistent refinement and extension. Seventeen peer-reviewed articles published since 2011 were retained after independent screening. Findings indicate a marked increase in TPB-based research since 2020, predominantly in Asian contexts, and a strong reliance on extended models—most frequently including personal norm and seldom organizational factors—while relatively few studies implemented the traditional framework with measures of salient beliefs. Most investigations focused on resource-conservation behaviors defined at a high level of generality and relied on convenience samples of employees from heterogeneous organizational and industrial settings. Across studies, belief-based constructs were positively associated with intentions, with attitudes as the strongest antecedent, and intentions consistently predicted behavior. At the same time, many investigations relied on cross-sectional self-reports and assessments of either intention or behavior. Finally, most studies fail to provide theoretical and empirical justifications for including additional relationships. Implications for advancing TPB-based research on employee green behavior are discussed. Full article

In the tourism and hospitality industry, abusive supervision is a common social stressor, yet how it relates to employees’ behavioral adjustment remains underexplored, particularly when considering recovery processes outside of work. Drawing on Conservation of Resources (COR) theory, this study conceptualizes sleep deprivation as an indicator of impaired recovery that may help explain time-ordered associations between abusive supervision and quiet quitting. Based on three-wave, time-lagged data collected from employees in the tourism and hospitality industry, the findings show that abusive supervision is positively associated with sleep deprivation and quiet quitting, and that sleep deprivation carries a significant indirect association between abusive supervision and quiet quitting. In addition, personality strengthens the association between abusive supervision and sleep deprivation and, in turn, strengthens the indirect association with quiet quitting. By integrating leadership behavior, recovery-related processes, and individual differences, this study reframes quiet quitting as a form of resource regulation and offers behavioral science implications for understanding employees’ work investment adjustment across work and non-work contexts. Full article

Organizations increasingly rely on environmental, social, and governance (ESG) practices as a core element of sustainable management, yet little is known about how ESG affects employees during periods of crisis. Despite the growing ESG literature, limited research has examined how firm-level ESG performance influences employee psychological mechanisms and innovative behavior under crisis conditions through multi-level pathways. Drawing on corporate reputation theory and conservation of resources (COR) theory, this study examines how corporate ESG performance shapes employee experiences and behaviors under crisis conditions. This study conceptualizes ESG performance as a reputation-based organizational resource that buffers employees against psychological stress, thereby enabling innovative behavior that is critical for business sustainability. In addition, team cohesion as a contextual social resource was proposed to strengthen the stress-buffering effect of ESG. Using multi-level data from 980 employees nested within 51 large Korean firms, combined with objective ESG ratings collected prior to the crisis, this study tests the proposed model through multi-level structural equation modeling. The results show that higher corporate ESG performance is associated with lower employee psychological stress, which in turn promotes innovative behavior. Moreover, team cohesion amplifies the negative relationship between ESG performance and employee stress. By revealing a micro-level pathway through which ESG enhances employee well-being and innovation during crises, this study advances research on the economic and business aspects of sustainability. Full article

The enclave villages of Lake Malawi National Park (LMNP) are human settlements within a World Natural Heritage landscape. While social heterogeneity has been widely discussed in social–ecological systems (SES) scholarship, ethnic diversity has often remained analytically implicit. This study makes ethnic diversity central to analysis by examining how it shapes livelihoods, resource use, and governance across enclave villages. Drawing on an integrated household survey, key informant interviews, and extended field observations, and informed by collaboration theory, the SES framework, and scholarship on social differentiation, the analysis shows that ethnic diversity facilitates exchanges of fishing techniques, farming skills, ecological knowledge, and market linkages, producing plural and seasonally adaptive livelihood portfolios. Households routinely combine fishing, agriculture, tourism, petty trade, and forest use, contributing to diversified resource use. However, pressures on fish stocks, forest resources, and agricultural land highlight the need for more inclusive co-management. Emerging community-based institutions and collaborative initiatives increasingly facilitate coordination, rule-making, and shared stewardship. Overall, the findings identify practical and conceptual entry points through which ethnic diversity, ecological knowledge, and adaptive livelihoods can jointly support more resilient and inclusive pathways for sustainability at the crossroads of resource-dependent livelihoods and conservation, offering insights for socially diverse human–nature landscapes. Full article

Community-based tourism (CBT) is widely promoted as a route to inclusive growth and conservation in emerging economies, yet outcomes vary because the communities’ ability to create, scale, and sustain CBT enterprises depends on the surrounding entrepreneurial ecosystem. Building on entrepreneurial ecosystem theory and grand challenges scholarship, this article reframes CBT as a place-based entrepreneurial ecosystem that mobilizes local and external actors, resources, and institutions to advance the United Nations 2030 Agenda. The purpose of the study is to develop and illustrate an SDG-oriented CBT entrepreneurial ecosystem framework and identify the ecosystem mechanisms and boundary conditions associated with SDG contributions. Using a qualitative multiple-case design and structured document analysis of 42 public artifacts (peer-reviewed studies, program evaluations, organizational reports, and organizational webpages), three initiatives were examined: Namibia’s communal conservancies, Chi Phat community-based ecotourism in Cambodia, and Bolivia’s Chalalán Ecolodge. Cross-case synthesis showed that progress on SDG 1 (No Poverty) and SDG 8 (Decent Work and Economic Growth)—with complementary contributions to SDGs 10, 11, 12, 15, 16, and 17—emerges when ecosystems combine: (i) enforceable community rights and benefit-sharing rules; (ii) bridging organizations that provide training, finance, market access, and quality assurance; (iii) accountable local governance for transparency and conflict resolution; and (iv) reinvestment mechanisms that fund conservation and community services. The analysis also identified boundary conditions (e.g., elite capture, value leakage, donor dependence, uneven tourism potential, and demand shocks) and specific policy levers (tenure security, adaptive concession policies, blended finance, and impact monitoring) to strengthen CBT ecosystems for SDG delivery. Full article

Mineral resource extraction and urban expansion in resource-based cities have progressively degraded regional ecosystems, leading to increasingly fragmented ecological patterns. Ecological network resilience plays a critical role in maintaining regional ecological stability. In this study, we integrated landscape ecology and systems science to develop a network model and assess the resilience of ecological networks in the coal mining subsidence area with high groundwater levels. This study employed morphological spatial pattern analysis (MSPA) and circuit theory to construct the ecological network. A cascading failure model was further applied to simulate network dynamics under three attack strategies. Based on a comparative analysis of these strategies, we introduce the concept of “dangerous nodes” to identify priority conservation areas. The research results show that 101 ecological source areas and 255 ecological corridors were identified in the study area. Topologically, its ecological network is characterized by a small number of core nodes and a large number of secondary nodes. When the adjustable parameter is $\alpha <1.2$, targeting low-degree nodes may inflict more severe damage on the network. When $\alpha >1.2$, attacks against nodes with a high-degree or high betweenness centrality may have significant cascading failure implications. Our results show that the network’s critical threshold $T_c$ depends on the number of dangerous nodes in the attack set. The distribution of these nodes differs substantially between low-degree attacks and those targeting high-degree or high betweenness centrality nodes. These findings advance ecological network optimization and provide practical guidance for ecosystem conservation and restoration in resource-based cities. Full article