Search Results (112)

The growing mismatch between ecosystem service (ES) supply and demand underscores the importance of thoroughly understanding their spatiotemporal patterns and key drivers to promote ecological civilization and sustainable development at the regional level in China. This study investigates six key ES indicators across mainland China—habitat quality (HQ), carbon sequestration (CS), water yield (WY), sediment delivery ratio (SDR), food production (FP), and nutrient delivery ratio (NDR)—by integrating a suite of analytical approaches. These include a spatiotemporal analysis of trade-offs and synergies in supply, demand, and their ratios; self-organizing maps (SOM) for bundle identification; and interpretable machine learning models. While prior research studies have typically examined ES at a single spatial scale, focusing on supply-side bundles or associated drivers, they have often overlooked demand dynamics and cross-scale interactions. In contrast, this study integrates SOM and SHAP-based machine learning into a dual-scale framework (grid and city levels), enabling more precise identification of scale-dependent drivers and a deeper understanding of the complex interrelationships between ES supply, demand, and their spatial mismatches. The results reveal pronounced spatiotemporal heterogeneity in ES supply and demand at both grid and city scales. Overall, the supply services display a spatial pattern of higher values in the east and south, and lower values in the west and north. High-value areas for multiple demand services are concentrated in the densely populated eastern regions. The grid scale better captures spatial clustering, enhancing the detection of trade-offs and synergies. For instance, the correlation between HQ and NDR supply increased from 0.62 (grid scale) to 0.92 (city scale), while the correlation between HQ and SDR demand decreased from −0.03 to −0.58, indicating that upscaling may highlight broader synergistic or conflicting trends missed at finer resolutions. In the spatiotemporal interaction network of supply–demand ratios, CS, WY, FP, and NDR persistently show low values (below −0.5) in western and northern regions, indicating ongoing mismatches and uneven development. Driver analysis demonstrates scale-dependent effects: at the grid scale, HQ and FP are predominantly influenced by socioeconomic factors, SDR and WY by ecological variables, and CS and NDR by climatic conditions. At the city level, socioeconomic drivers dominate most services. Based on these findings, nine distinct supply–demand bundles were identified at both scales. The largest bundle at the grid scale (B3) occupies 29.1% of the study area, while the largest city-scale bundle (B8) covers 26.5%. This study deepens the understanding of trade-offs, synergies, and driving mechanisms of ecosystem services across multiple spatial scales; reveals scale-sensitive patterns of spatial mismatch; and provides scientific support for tiered ecological compensation, integrated regional planning, and sustainable development strategies. Full article

This study offers a unique perspective on the role of ancestral knowledge in sustainable river management and community resilience. Specifically, this study draws on (1) a systematic literature review using the PRISMA methodology and (2) a qualitative analysis of community surveys conducted with 39 women in Zambrano, Colombia, to examine the impact of ancestral knowledge on sustainability, peace promotion, and community development. The findings highlight that women’s traditional water management practices significantly contribute to environmental sustainability, conflict resolution, and social cohesion. Women play a central role in transmitting and applying ancestral water knowledge, yet they remain marginalized in decision-making processes, often facing barriers to participation in governance structures. Finally, these findings proposed strategies for integrating ancestral knowledge into sustainable resource management policies. This study underscores the urgent need for legal recognition, intercultural dialogue, gender-inclusive governance, and educational programs to ensure the transmission and adaptation of these practices in contemporary contexts. Integrating ancestral knowledge into water management policies is essential for strengthening gender equity, community resilience, and fostering governance models that harmoniously combine traditional and scientific approaches. Full article

A conflict is a situation where multiple stakeholders have different evaluations over possible scenarios or states. Conflict analysis is an essential tool for understanding and resolving complex conflicts, especially in scenarios involving multiple stakeholders and uncertainties. Confrontation analysis (ConAna) and graph model for conflict resolution (GMCR) have been integrated for dilemma reasoning and conflict resolution in region crisis analysis. This paper discusses the application of decision-theoretic rough sets (DTRS) to three-way decisions (3WD) in dilemma reasoning and conflict resolution. Three-way decisions are a strategy for making decisions under uncertain conditions, which compensates for the shortcomings of traditional two-way decisions (such as accept or reject) by introducing a “delayed decision” option. In terms of dilemma reasoning, we try to address incomplete or conflicting information and provide a more reasonable decision path for decision-makers through comprehensive evaluation of multi-criteria. In terms of conflict resolution, the DTRS model seeks a compromising solution that is acceptable to all parties by analyzing the game relationship between different stakeholders. The DTRS model combines decision-making theory and rough set theory to determine the balanced decision region by constructing a game between multiple criteria. This dynamic integration is of great significance for the study of complex international conflicts, providing a cross-disciplinary perspective for related research. In this paper, we demonstrate the application of DTRS in 3WD and discuss the relationship between DTRS and probabilistic rough sets. The research shows that the DTRS model has significant advantages in dealing with complex decision problems and can effectively deal with the conflicts and uncertainties in multi-criteria decision-making. Full article

Marine biodiversity is of critical importance to global ecosystems. The Indo-Pacific Convergence Zone (IPCZ), a global marine biodiversity hotspot, faces escalating threats from human activities and climate change. This underscores the pressing need to develop effective conservation strategies for marine biodiversity in the IPCZ. This study integrates spatial analysis of ecological sensitivity (coral reefs, mangroves, and seagrass) and anthropogenic pressures (shipping/fishing intensity) to identify biodiversity hotspots and conservation gaps. Using datasets from UNEP-WCMC, OBIS, and Global Fishing Watch, we applied GIS-based multi-criteria evaluation to 5408 grid cells (0.5° resolution) across the IPCZ. Results revealed that 14.7% of the study area constitutes biodiversity hotspots, primarily in coastal Philippines, Indonesia’s Lesser Sunda Islands, and northern Australia. However, only 6% of the IPCZ is currently protected, with merely 13.88% of hotspots overlapping existing marine protected areas (MPAs). Anthropogenic pressure hotspots (e.g., Malacca Strait) showed limited spatial overlap with biodiversity hotspots, suggesting species displacement from high-disturbance zones. Priority conservation areas were delineated by balancing ecological significance and economic activity conflicts. We propose targeted strategies, including buffer zones, seasonal no-take areas, and green shipping technologies, to reconcile conservation with sustainable development. This framework provides actionable insights for enhancing MPA networks in biogeographic transition zones. Full article

Diversion programs are increasingly used as alternatives to criminal penalties for women involved in commercial sex, yet limited research has examined how such programs support behavior change across diverse subgroups, particularly between sex-trafficked and non-trafficked participants. This study evaluates changes in readiness for change among 131 women who participated in a court-ordered diversion program led by survivors of sex trafficking. Participants were classified as sex-trafficked or non-trafficked based on self-reported age of entry and experiences of third-party control. The program offered a range of trauma-informed services aimed at fostering holistic well-being and facilitating a pathway out of sex trafficking and prostitution. Participants engaged in group classes focused on job interview skills, emotion regulation, substance use awareness, and psychoeducation related to trauma. Life skills workshops addressed financial literacy, relationship dynamics, and conflict resolution. In addition, participants received referrals to GED programs, career training, mental health services, and emergency housing as needed. Program duration typically ranged from 12 to 16 weeks, adjusted for individual needs. Results from a repeated-measures Analysis of Variance (ANOVA) revealed a significant increase in readiness for change (p < 0.05) from program entry to completion. However, women with trafficking histories demonstrated smaller gains than their non-trafficked peers, suggesting that trauma-related and systemic barriers may limit the impact of short-term interventions. These findings underscore the importance of tailoring diversion programs to address the complex needs of sex-trafficked individuals and support the development of differentiated trauma-responsive strategies within diversion frameworks. Full article

The widespread scrapping of retired mechanical parts has led to severe waste of resources and environmental burdens, posing a significant challenge to sustainable industrial development. To enable efficient recycling of retired mechanical parts and enhance the sustainability of their remanufacturing processes, the concept of biological genes is adopted to characterize the changes in the information of retired mechanical parts during the remanufacturing process as gene mutations of parts, aiming to maximize remanufacturing potential and devise an optimal generalized remanufacturing strategy for extending part life cycles. However, gene mutation of retired mechanical parts is not an isolated event. The modification of local genes may disrupt the original equilibrium of the part’s state, leading to conflicts such as material–performance, structure–function/performance, and function–performance. These conflicts constitute a major challenge and bottleneck in designing generalized remanufacturing schemes. Therefore, we propose a conflict identification and resolution method for gene mutation of retired mechanical parts. First, gene mutation graph of retired mechanical parts is established to express its all-potential remanufacturing pathways. Using discrimination rules and the element representation method from extenics, mutation conflicts are identified, and a conflict problem model is constructed. Then, the theory of inventive problem solving (TRIZ) engineering parameters are reconstructed and mapped to the mutation conflict parameters. The semantic mapping between the inventive principles and the transforming bridges is established by the Word2Vec algorithm, thereby improving the transforming bridge method to generate conflict resolution solutions. A coexistence degree function of transforming bridges is proposed to verify the feasibility of the resolution solutions. Finally, taking the generalized remanufacturing of a retired gear shaft as an example, we analyze and discuss the process and outcome of resolving gene mutation conflicts, thereby verifying the feasibility and effectiveness of the proposed concepts and methodology. Full article

In the face of escalating climate challenges, the energy sector is increasingly investing in renewable projects. However, the implementation of utility-scale renewable energy initiatives is often hindered by public opposition. While previous research has offered detailed insights into the determinants of public acceptance generally, there remains scope for examining the impact of strategies that developers can employ to coalesce support for success at the local level. This study contributes with a comparative case study of two U.S. utility-scale projects: the Empire Wind offshore wind farm, which achieved success through proactive conflict resolution, and the Northern Pass hydroelectric transmission project, which was halted due to sustained local resistance. Our findings suggest the critical importance of community-centered conflict resolution strategies in garnering public support and facilitating the successful deployment of large-scale renewable energy projects. Full article

The construction industry faces persistent challenges from disputes and claims, leading to delays, cost overruns, and strained stakeholder relationships. This study proposes a strategic framework that integrates building information modeling (BIM) as a proactive tool for dispute avoidance. Using a causal loop diagram (CLD), the research maps the relationships among systemic factors contributing to disputes, such as poor communication, ambiguous specifications, and ineffective stakeholder engagement. The study highlights BIM’s transformative potential in enhancing visualization, improving collaboration, and fostering proactive conflict resolution. Validated through expert insights, the framework provides actionable recommendations for integrating BIM (with ISO19650 specs) into construction workflows, addressing the root causes of disputes, and driving project efficiency. This research contributes a structured roadmap for advancing construction management practices, emphasizing early BIM adoption considered with ISO19650, stakeholder alignment, and balancing systemic dynamics. The findings underscore BIM’s pivotal role in reshaping conflict prevention strategies, paving the way for sustainable and dispute-free project delivery. Full article

(1) Background: This study investigates the relationship between the moral maturity levels of individuals who have experienced parental divorce or loss and their adjustment to the divorce process, considering various factors. (2) Methods: A total of 319 participants, aged between 10 and 18, who had either divorced parents or had experienced parental loss, were included in the study. Data were collected using the Adaptation to Divorce Inventory for Children and the Moral Maturity Scale. (3) Results: The results revealed that individuals who had experienced parental loss exhibited higher-than-average moral maturity levels. (4) Conclusions: A moderate, positive correlation was found between moral maturity and divorce adjustment, specifically in the areas of conflict resolution and depression–anxiety subscales. Additionally, substance use was associated with lower levels of moral maturity, while gender and educational level were significant predictors of moral maturity. These findings suggest that professional support, guidance programs, and family communication strategies are essential to promote the psychological adjustment of children affected by parental divorce or loss. Full article

This research investigates the potential of computational argumentation, specifically the application of the Abstract Argumentation Framework (AAF), to enhance the evaluation of deliberative quality in public discourse. It focuses on integrating AAF and its related semantics with the Discourse Quality Index (DQI), which is a reputable indicator of deliberative quality. The motivation is to overcome the DQI’s constraints using the AAF’s formal and logical features by addressing dependency on hand coding and attention to specific speech acts. This is done by exploring how the AAF can identify conflicts among arguments and assess the acceptability of different viewpoints, potentially leading to a more automated and objective evaluation of deliberative quality. A pilot study is conducted on the topic of abortion to illustrate the proposed methodology. The findings of this research demonstrate that AAF methods can improve discourse analysis by automatically identifying strong arguments through conflict resolution strategies. They also emphasise the potential of the proposed procedure to mitigate the dependence on manual coding and improve deliberation processes. Full article

Legal protests are recognized as a legitimate form of civic participation. Illegal protests, on the other hand, are an effective form of civil disobedience, which, however, can take a rather excessive form. This article tracks the trends in expected participation in illegal protests of 8th-grade students using data from thirteen countries participating in all three cycles of the International Civic and Citizenship Education Study (2009, 2016, and 2022). The results of the countries’ overall trends show that students’ anticipation for participation in illegal protest activities has increased in most participating countries. The general trend across the participating countries is that male students have a higher anticipation of participating in all cycles, although in nine countries, the gap between male and female students is shrinking over time, and in two countries, the trends are increasing for both male and female students. In general, students with an immigrant background have higher expectations to participate in illegal protest activities. These findings can inform the development of curricula and teaching strategies to promote critical thinking, ethical decision-making, and constructive civic engagement. The results also suggest that integrating lessons on peaceful advocacy, conflict resolution, and democratic processes can channel student activism into lawful and impactful forms of participation and engagement. Full article

This study investigates the relationship between sustainable leadership styles and conflict management strategies within the context of Greek Public Sector. Specifically, it examines how collaborative, transformational, and authoritarian leadership styles impact workplace conflict resolution. The research adopts a case study methodology, focusing on Departments of Public Works in Greece, where data were collected through questionnaires. The analysis involved quantitative methods, including exploratory factor analysis (EFA), to examine the relationship between leadership styles and conflict management techniques. Results indicate that collaborative leadership is strongly associated with higher employee satisfaction and more effective conflict resolution, particularly in organizations with flat hierarchical structures. Transformational leadership fosters trust and open communication, which further enhance conflict resolution. On the other hand, authoritarian leadership styles correlate with increased workplace tension, lower satisfaction, and less effective conflict management, especially in high power-distance environments. The study also highlights cultural factors, such as the Greek emphasis on interpersonal relationships, as critical influences on leadership effectiveness. These findings underline the need for culturally adaptive and sustainable leadership strategies and provide practical recommendations for promoting harmony and productivity in Greek organizations. Full article

This study employs the Graph Model for Conflict Resolution (GMCR) to systematically analyze and evaluate potential solutions to disputes arising from the Parambikulam-Aliyar Project (PAP) agreement in India. By incorporating hydrological analysis in the study, the research assesses the potential impacts of proposed solutions on water demand. The GMCR methodology is applied through a comprehensive decision support system (GMCR II), involving the identification of decision-makers, options, and preferences, followed by the development of a conflict resolution model. The analysis is based on a thorough literature review of previous studies on GMCR and PAP systems. The strategic analysis using GMCR II reveals nine stable states, representing feasible resolution scenarios. The study evaluates the real-world implications of various resolution scenarios by assessing their hydrological consequences on demand sites using Water Evaluation and Planning (WEAP). The results provide valuable insights into both conflict resolution and environmental considerations, evaluating various resolution scenarios and their feasibility. The study discusses the practical applicability and long-term effectiveness of the proposed solutions, addressing potential challenges and impacts. For instance, this study examines the potential impacts of new constructions in the PAP system, based on hypothetical data assumptions regarding water divergence and reservoir capacity. The study indicates that such a solution involving new construction can reduce the overall unmet water demand by up to 39%, with a notable decrease of up to 50% in unmet demand for irrigation in Tamil Nadu. However, the study also reveals potential challenges, including a 14% increase in unmet demand for irrigation in Kerala. This study contributes to the existing literature by providing a novel application of GMCR to a complex water management conflict, highlighting its potential to support policymakers in mitigating conflicts and promoting cooperation in the context of transboundary water management. While offering valuable insights into the strategic dynamics of the PAP agreement, the analysis is constrained by limited data availability, such as long-term hydrologic data and real-time water usage data. Future research addressing data scarcity can leverage this study’s framework to develop more robust and actionable management strategies. Full article

Aggressive behaviour encompasses a spectrum of emotional responses, ranging from mild irritation to intense anger and fury. The goals of the present research were to develop a reduced and adapted version of the Buss–Perry Aggression Questionnaire (VRA-AQ) for Portuguese college students, to explore its relationship with negative life events as well as to ascertain the importance of self-regulation and resilience in preventing aggressive behaviour among young people from higher education, and to explore the differences between genders, academic year, and socioeconomic status to examine the risk factors of aggressive behaviour. The validation of the reduced and adapted Portuguese version of the VRA-AQ was carried out on a Portuguese university sample (N = 2991). There were three main focuses of data analysis: descriptive statistics, correlations, and factor analyses. Differences between genders and academic year were found in men, and undergraduate students displayed higher averages of physical aggression, negative life events, and the impact of these events, while women and post-graduate students exhibited higher averages of self-regulation and resilience. Regarding SES, youth from low to medium-low socioeconomic backgrounds demonstrated higher averages in overall aggression, physical aggression, anger, hostility, negative life events, and the impact of these life events. Conversely, those from higher socioeconomic backgrounds displayed higher averages in resilience. Therefore, it is essential to prevent aggressive behaviour in students, and several strategies can be implemented based on the findings, namely, gender-specific interventions; academic year targeted support; socioeconomic support programmes; promotion of positive coping mechanisms; creating supportive environments; and education on conflict resolution. Full article

The digital maturity of Human Resource Management (HRM) is a critical determinant of organisational success in today’s digital age. This paper aims to contribute to the limited literature on the “digital maturity” of HRM by identifying emerging themes and success factors of HRM in the digital age. Drawing on data from 190 journal articles for 2017–2024, this paper identifies three motor themes shaping contemporary HRM: (1) Digital Transformation and Competition, (2) Innovation and Performance Management, and (3) COVID-19 Adaptive Human Resource Management. These findings indicate the multidimensionality of HR digital maturity—from focusing on technology and people to fostering innovation and crisis management. Several factors require attention to improve the digital maturity of HR, including HR strategy and governance; talent management, diversity, and safety; employee adoption and competencies; conflict resolution and stakeholder engagement; and HR practitioners’ competencies. Strategic investment in these pillars is necessary not only to facilitate organisational adaptation to digital transformation but also for harnessing the benefits of emerging technologies to drive innovation and long-term success in the post-COVID era. Full article