Severe Conflicts Research Articles

Mental contrasting and conflict management in satisfied and unsatisfied romantic relationships

Managing relationship conflict is a difficult yet crucial task for romantic partners. We investigated how imagining a conflict’s resolution affects the engagement in resolving that conflict. For instance, people may indulge in positive fantasies about their future, or they may mentally contrast their desired future (successful conflict resolution) with the main inner obstacle (e.g., anger, frustration) in the current reality. In two experiments, we tested whether mental contrasting increases engagement in resolving ongoing relationship conflicts participants perceived as important (i.e., high incentive value) and solvable (i.e., high expectations of success). In Experiment 1 ( N = 274, from predominantly satisfied relationships), mental contrasting compared to indulging improved the resolution of solvable conflicts over two weeks. This effect did not extend to conflicts of highest importance, which we found to be particularly severe. In Experiment 2 ( N = 270, from less satisfied relationships), mental contrasting, compared to indulging and to working on a concentration task, increased mental engagement with highly important, more severe conflicts over two weeks. Results suggest that mental contrasting helps in resolving solvable conflicts. When facing more severe, less solvable conflicts, however, mental contrasting stimulated mental engagement with conflicts. Our findings suggest that teaching people mental contrasting may complement existing conflict management approaches (e.g., in counseling or in self-help apps).

Sustainable Development of Urban Agglomerations around Lakes in China: Achieving SDGs by Regulating Ecosystem Service Supply and Demand through New-type Urbanization

The mechanism through which New-type Urbanization (NU), as a new direction in urban development, influences the Sustainable Development Goals (SDGs) by regulating the Ecosystem Services (ES) supply and demand remains to be determined. It is particularly true in urban agglomerations around lakes, characterized by severe human-land conflicts, where socio-economic development is closely linked to water. We selected China’s urban agglomerations around lakes as the study area. We investigated the spatio-temporal heterogeneity of NU and the Ecosystem Service Supply and Demand Ratio (ESDR) from 2000 to 2018. We specifically focused on the dynamic trends of SDG 2 (Zero Hunger), SDG 13 (Climate Action), and SDG 15 (Life on Land). Furthermore, we utilized Structural Equation Modeling (SEM) to reveal the direct effects and indirect pathways through which NU influences the achievement of SDGs in the study area, emphasizing the differentiated performance of this mechanism across various urban agglomerations around Lakes. The results indicated that the ESDR has a particularly evident downward trend in urban centers along lakes, rivers, and road networks in spatial terms. The level of NU in urban agglomerations around lakes has increased by about 50% overall. It geographically exhibits three main spatial distribution patterns: “diffusion along the lake,” “homogeneous distribution,” and “diffusion along the river.” NU directly inhibits the achievement of SDGs but indirectly promotes the improvement of ESDR for food production and soil conservation, thereby indirectly facilitating the achievement of SDG 2 and SDG 15, but has an inhibitory effect on SDG 13. By regulating ESDR, NU is most effective in achieving SDGs in the urban agglomerations around Poyang Lake and Dongting Lake but has a significant inhibitory effect on the urban agglomeration around Hongze Lake. This research provides quantitative evidence for the urban planning shift, terrestrial ecosystem function restoration, and SDGs achievement in urban agglomerations around lakes. It also offers new insights from China for the sustainable urban construction of urban agglomerations around lakes worldwide.

Determinants of coping strategies among agropastoralists in Kitui and Isiolo counties, Kenya

Agropastoralists in Kenya’s Arid and Semi-arid Lands (ASALs) face various shocks that threaten their livelihoods and expose them to significant health and economic risks. While existing studies often focus on climate-related shocks, they frequently overlook other challenges faced by these communities. A comprehensive understanding of how agropastoralists manage diverse shocks is essential to developing effective vulnerability reduction strategies. This study examined the major shocks experienced by agropastoral households in Kenya’s ASALs, their primary coping strategies, and the determinants informing the choice of the strategies adopted. Using cross-sectional data from 371 households in Isiolo (203) and Kitui (168) counties, this study applied descriptive analysis and multivariate probit (MVP) models to assess coping strategies and influencing factors. From 2016 to 2021, households faced shocks, such as droughts, livestock pests and diseases, crop pests, theft, and intercommunal conflicts. Regional variations were observed: crop pests were common in Kitui, whereas Isiolo experienced higher theft and conflict rates. Coping strategies include income diversification, asset sales, increased farm labor, and reduced food expenditure. Severe droughts and conflicts led to migration, while floods caused extreme measures such as withdrawing children from school. Key factors influencing coping strategies include household demographics, farm characteristics, and market proximity. Households with more adults, higher literacy, or greater income from crops and livestock are less likely to adopt costly strategies. This study recommends integrated interventions to enhance resilience to both climate and non-climate shocks.

Demographic Consequences of Major Wars

This article investigates the demographic consequences of major wars and the determinants of post-war demographic recovery, analyzing severe conflicts from 1914 to 2010 in countries across various development levels and war types. Through an empirical evaluation of demographic recovery following major wars, this paper explores how several important factors, including political capacity, foreign aid, and human capital, influence recovery patterns in societies that have experienced these conflicts. The analysis suggests that populations tend to recover to pre-war levels within a generation, often exceeding them due to significant post-war baby booms. Political capacity appears to be associated with faster recovery, while the impact of foreign aid and human capital varies across different economic contexts. The research employs a large N time-series cross-section analysis, offering a comprehensive exploration of the dynamics involved in post-war demographic recovery. The results highlight the complex relationship between political, economic, and social factors, providing a valuable foundation for future research. By integrating insights from political demography, international relations, and population studies, these findings can guide the development of new theories and models to better understand the mechanisms of post-conflict recovery. Ultimately, this research aims to inform more effective strategies and policies for post-conflict reconstruction and development, promoting sustainable peace and stability in war-affected regions.

Historical drivers of HCV Subtypes 1b and 3a in Thailand and 6f in Phetchabun, an HCV endemic area of the country.

The World Health Organization has set a target to eliminate viral hepatitis as a public threat by 2030. In pursuit of this goal, Thailand initiated a hepatitis C virus (HCV) microelimination project targeting Phetchabun province, a well-recognized high-burden HCV endemic area. However, the historical transmission dynamics of HCV in Phetchabun, and in Thailand in general, remain unclear. This study investigates the epidemic histories of HCV in Phetchabun, focusing on Subtypes 1b, 3a, and 6f, and their relationship with HCV in other regions of Thailand, using molecular phylogenetic analyses. Our results reveal nationwide the presence of Subtypes 1b and 3a, while Subtype 6f is mainly confined to Phetchabun. The initial spread of Subtype 1b was inferred to coincide with World War II and the period of suboptimal medical and hygienic standards in Thai blood transfusion services, suggesting a correlation between the two. The early expansion of Subtype 3a was, on the other hand, found to correlate with the epidemic of intravenous drug use in Thailand during the time of Vietnam War. The early expansion of Subtype 6f, in contrast, appears to coincide with the period of severe regional political conflict and social and economic instability. All these findings suggest the complex interplay between social determinants of health and HCV transmission. Post the mid-1990s/early 2000s, all subtypes showed significantly reduced population growth rates, aligning with improvements in blood transfusion safety standards, the nationwide "War on Drugs" policy, and enhanced accessibility to public healthcare and HCV treatments. These combined efforts likely have contributed to curbing the spread of HCV in Thailand. Nevertheless, our analyses reveal that the prevalence of HCV in Thailand remains high overall, emphasizing the need for further research and a nationwide approach to more effectively reduce the HCV burden in Thailand.

Historical Account of Managing Overabundant Wild Asian Elephants in Myanmar by the Kheddah System of Capture: Philosophy, Principles and Practices.

When standard methods of human-elephant conflict mitigation are not successful, free-ranging wild elephants may continue to come into close contact with people. This results in more frequent and severe conflict, with consequences ranging from crop raiding to loss of human and elephant lives. Understandably, in such situations, local communities may want to be rid of entire herds of elephants. Historically, one of the strategies the Myanmar Government practiced to resolve human-elephant conflict was the capture of whole herds using the Kheddah system. This involved trapping the herd in a stockade, immediately followed by on-site post-capture taming. After taming, the captured elephants were utilized as logging elephants. Elephants worked in timber extraction, retired at age 55 years and were then cared for by the Government until they died. The capture of wild elephants by the Kheddah system was formally banned in Myanmar in 1985 but occasional, small-scale, captures were allowed until 2013 under the strict control of the Myanmar Government. These operations were aimed primarily at capturing elephants involved in human-elephant conflict, rather than to supplement the working elephant population. One of the last Kheddah operations, organized and managed by the author, was conducted in 1996 at the Taikkyi township of the Yangon Region, as a last resort to end human-elephant conflict in an emergency. While chemical immobilization was being used at this time, it was not logistically possible with the high numbers of elephants engaged in the conflict. This review aims to record the history of an activity that was an important element of Myanmar's timber industry more than three decades ago. In this paper, the author presents a description of Kheddah not to endorse it, but to document (1) the Myanmar elephant population management strategy in the past, before it is forgotten, and (2) the practicality of the Kheddha operation when the singly selected commonly- used immobilization or noosing method of elephant capture is unfeasible. The author attempts to shed light on the modern veterinary procedures that may significantly reduce the notorious historical outcome of Kheddha, especially the resulting mortality of captured elephants, should the Kheddha system of capture ever be used as an emergency solution for ongoing problems of human-elephant conflict in the range states of Asia.

Reasoning graph-based reinforcement learning to cooperate mixed connected and autonomous traffic at unsignalized intersections

Cooperation at unsignalized intersections in mixed traffic environments, where Connected and Autonomous Vehicles (CAVs) and Manually Driving Vehicles (MVs) coexist, holds promise for improving safety, efficiency, and energy savings. However, the mixed traffic at unsignalized intersections present huge challenges like MVs’ uncertainties, the chain reaction and diverse interactions. Following the thought of the situation-aware cooperation, this paper proposes a Reasoning Graph-based Reinforcement Learning (RGRL) method, which integrates a Graph Neural Network (GNN) based policy and an environment providing mixed traffic with uncertain behaviors. Firstly, it graphicly represents the observed scenario as a situation using the interaction graph with connected but uncertain (bi-directional) edges. The situation reasoning process is formulated as a Reasoning Graph-based Markov Decision Process which infers the vehicle sequence stage by stage so as to sequentially depict the entire situation. Then, a GNN-based policy is constructed, which uses Graph Convolution Networks (GCN) to capture the interrelated chain reactions and Graph Attentions Networks (GAT) to measure the attention of diverse interactions. Furthermore, an environment block is developed for training the policy, which provides trajectory generators for both CAVs and MVs. A reward function that considers social compliance, collision avoidance, efficiency and energy savings is also provided in this block. Finally, three Reinforcement Learning methods, D3QN, PPO and SAC, are implemented for comparative tests to explore the applicability and strength of the framework. The test results demonstrate that the D3QN outperformed the other two methods with a larger converged reward while maintaining a similar converged speed. Compared to multi-agent RL (MARL), the RGRL approach showed superior performance statistically, reduced the number of severe conflicts by 77.78–94.12 %. The RGRL reduced average and maximum travel times by 13.62–16.02 %, and fuel-consumption by 3.38–6.98 % in medium or high Market Penetration Rates (MPRs). Hardware-in-the-loop (HIL) and Vehicle-in-the-loop (VehIL) experiments were conducted to validate the model effectiveness.

Multi-objective robust dynamic pricing and operation strategy optimization for integrated energy system based on stackelberg game

The integrated energy system (IES) with hydrogen storage has become one of the most important developments in multi-energy coupling field, where the severe conflict of interests between different entities leads to great challenges to the economy and low-carbon operation. A multi-objective robust dynamic pricing and operation strategy optimization method based on the Stackelberg game is proposed for the hydrogen-containing energy storage (HES) IES. Firstly, the HES-IES trading framework is established based on the introduction of an integrated energy operator (IEO) and a load aggregator (LA). Secondly, a multi-objective robust Stackelberg game model is developed with the IEO as the leader and the LA as the follower, considering the minimization of operating costs and carbon emissions of the IEO and the minimization of integrated energy costs of the LA as the objectives. Finally, the compromise planning and the max-min fuzzy are addressed to solve the multi-objective model, which adopts the adaptive differential evolution (ADE) algorithm. In addition, the robust optimization (RO) with adjustable coefficients is employed to tackle uncertainties of source and load. The results show that this method can effectively balance the operating costs and carbon emissions of the system, improve the benefit of the IEO, reduce the costs of the LA, and avoid the uncertainty risk. Compared with traditional algorithms, the ADE algorithm has significant advantages in the number of iterations and solving time. In summary, the multi-objective robust dynamic pricing and operation strategy optimization proposed in this paper could effectively achieve the benefit balance between the IEO and the LA, also further improve the economy and robustness of the system and reduce carbon emissions.

Exploring the impact of right-turn safety measures on E-bike-heavy vehicle conflicts at signalized intersections

A major safety hazard for e-bike riders crossing an intersection is encountering heavy vehicles turning right in the same direction, which often results in severe casualties. Recently, some cities in China have implemented right-turn safety improvement treatments (i.e., right-turn yielding rules and right-turn warning facilities) at intersections to reduce the occurrence of such accidents. However, the risk perception and behavior of e-bike riders and heavy vehicle drivers dynamically change during the right-turn interaction process, and the safety effects of different right-turn safety measures remain unclear. This study aims to investigate the safety effect of right-turn safety measures on E-Bike-Heavy Vehicle (EB-HV) right-turn conflicts at signalized intersections. The right-turn conflicts and potential influencing factors are extracted from aerial video data, including characteristics of right-turn warning facilities, characteristics and behavior of e-bike riders and heavy vehicle drivers, environmental factors, and traffic-related factors. Moreover, traffic conflict indicators such as the Time to Collision (TTC), Post Encroachment Time (PET), and Jerk are selected and calculated. Multinomial and binary logit models are used to estimate and analyze the EB-HV right-turn conflict severity and drivers yielding behavior. The results reveal that: (a) right-turn warning facilities can decrease the probability of slight and severe EB-HV right-turn conflicts, while the presence of law enforcement cameras could prompt heavy vehicle drivers to comply with the yielding rules and adopt more cautious behavior; (b) increased heavy vehicle speed and acceleration before turning right have strong correlation to illegitimate yielding behavior of the driver and higher EB-HV right-turn conflict severity; and (c) aggressive behavior of e-bike rider increases the severe conflict probability, especially at intersections without right-turn warning facilities. Based on the study findings, several practical implications are suggested to reduce the risk of EB-HV right-turn conflicts, enhance the effectiveness of right-turn safety measures, and improve crossing safety for e-bike riders.

Behavioral Conflicts in Urban Greenway Recreation: A Case Study of the “Three Rivers and One Mountain” Greenway in Xi’an, China

The current greenway systems in China are relatively homogenous, whereas recreational groups and their needs are highly diverse. This discrepancy has resulted in increasingly severe behavioral conflicts during greenway recreation. However, scholarly research on behavioral conflicts in greenway recreational activities is lacking. Recreationists’ perceptions of conflict negatively impact their evaluation of the recreational experience, thereby limiting the ecological and recreational benefits of greenways. Therefore, it is crucial to categorize these conflicts, understand their formation mechanisms, and identify influencing factors, so as to put forward targeted management strategies for greenway construction. This study selected urban segments of greenways along the Wei and Feng rivers in Xi’an, Shaanxi Province, China. Field observation, semi-structured interviews, and NVivo 12 three-level coding were used to investigate and analyze the main types of behavioral conflicts perceived by various recreational groups on urban greenways and the factors influencing these perceptions. The results indicate that the primary types of behavioral conflicts are danger perception, space occupancy, environmental damage, and noise disturbance. Younger groups, highly educated individuals, local residents, and those with exercise as their primary recreational purpose are more likely to perceive conflicts. In addition, recreationists also focus on the completeness of greenway infrastructure, the richness of green landscapes, and the adequacy of behavior management. These findings can help greenway managers and planners understand the perception of recreational conflicts, enabling the formulation of targeted design strategies and management measures to mitigate these conflicts in urban greenway recreation.

Comparison of the Efficacy of Complete Endoscopic and Microscopic Vascular Decompression in the Treatment of Classical Trigeminal Neuralgia

To compare whether there is a difference in the efficacy of complete endoscopic microvascular decompression (EVD) and microscopic microvascular decompression (MVD) in patients with classical trigeminal neuralgia (CTN). From January 2014 to January 2021, 297 CTN patients were assigned to the retrosigmoid approach EVD (138 cases) and the MVD groups (159 cases); to compare whether there are differences in the pain control rate, recurrence, complications of CTN patients between the 2operations, and separately predict the factors related to prognosis of both groups. There was no significant difference in painless rates at 1, 3, and 5years after surgery (P= 0.356, P= 0.853, P= 1), and overall incidence of complications (P= 0.058) between the EVD and MVD groups. The EVD group had shorter surgical decompression duration than the MVD group (P < 0.001). The painless rate of patients with vertebrobasilar trigeminal neuralgia in the EVD group was higher than that in the MVD group, but the difference was not statistically significant (90% vs. 61.1%, P= 0.058). The independent risk factors associated with a good prognosis in the EVD group were a shorter course of the disease and severe neurovascular conflict, while severe neurovascular conflict is the only independent risk factor associated with a good prognosis in the MVD group. For CTN patients, compared with traditional MVD, EVD is also safe and effective and has the advantage of shorter decompression time.The predictive results of prognostic factors also suggest that CTN patients may benefit more from early surgical treatment.

An approach for evaluating traffic safety of expressway weaving segments: Investigating risk patterns of lane-changing conflicts

Weaving segments, integral to expressway systems, face safety challenges due to frequent lane changes. While previous research has leveraged pre– and post–lane-changing (LC) data for risk estimation, few efforts have assessed time-series characteristics of LC conflict risks. This study proposes an approach to evaluate safety performance of weaving segments by investigating conflict risk patterns during the LC process using vehicle trajectory data. First, risk profiles are generated based on driving safety field theory for detected LC conflicts. These profiles are then categorized into distinct time-series patterns using k-shape clustering. Finally, determinants of these patterns are identified by enhanced random forest, which provides valuable insights into their relationship with risk severity. Analysis of trajectory data from 12 weaving segments in China reveals three main risk patterns (ascent, descent, and stabilization with a peak) for both rear-end and sideswipe conflicts. Ascending risk patterns signify more severe conflicts compared to descending ones. Increasing auxiliary lanes at weaving segments results in a more evenly distributed acceleration, potentially leading to a more severe LC conflict. The lowest risk is observed at the weaving segments with two auxiliary lanes. This study offers a novel perspective for mitigating LC crashes and enhancing traffic safety in weaving segments.

Impact of Auxiliary Markings on Intersection Safety

The rapid growth of motorcycle vehicles coupled with inadequate traffic discipline contributes to an escalating rate of traffic accidents and casualties. This study investigates the efficacy of auxiliary road markings in enhancing traffic safety and intersection performance along Lieutenant Sutopo Street, Promoter Street, and Boulevard BSD East in South Tangerang, Indonesia. Employing the Traffic Conflict Technique (TCT), the research evaluates safety enhancements and service level alterations subsequent to the installation of road markings. Preliminary observations highlight significant safety concerns and traffic conflicts at the intersection. Consequently, auxiliary road markings are strategically installed to regulate driver behavior, enhance lane discipline, and improve visibility. Post-installation observations revealed a significant decrease in total vehicle conflicts, though the percentage of severe conflicts slightly increased. Initially rated as Level of Service (LOS) F with high delays, the LOS remained the same post-marking installation but with reduced delays. Further cycle time adjustments improved the LOS to E, indicating a substantial overall reduction in delays. The findings suggest that although auxiliary road markings effectively reduce traffic conflicts and improve intersection performance, additional measures are necessary to address the severity of these conflicts. The study offers valuable insights into the effectiveness of road safety interventions, supporting broader strategies for improving traffic management and safety in urban areas.

A modeling method for two-dimensional two-wheeler driving behavior during severe conflict interaction at intersections

The safety of two-wheelers is a serious public safety issue nowadays. Two-wheelers usually have severe conflict interaction with vehicles at intersections, such as running red lights, which is very likely to cause traffic accidents. Therefore, a model of two-wheeler driving behavior in conflicting interactions can provide guidance for traffic safety management on one hand, and can be used for the development and testing of autonomous vehicles on the other. However, the existing models perform poorly when interacting with vehicles. To address the problems, this paper proposes a modeling method (an improved social force model, ISFM) for two-dimensional two-wheeler driving simulation for conflict interaction at intersections. Based on analysis of naturalistic driving study data, when two-wheelers encounter with vehicles, their driving intentions and trajectories can be categorized into two groups, which are yielding and overtaking. Therefore, the vehicle-related social forces are designed to be a set of two forces rather than a repulsion force in original SFM, which is a yielding force based on the relative distance between the two-wheeler and the vehicle, and an overtaking force based on the velocity of the two-wheeler itself. This opens up the possibilities for modeling the multi-modal driving intention of two-wheelers encountering with cross traffic. Based on ISFM, a bicycle model, a powered two-wheeler (PTW) model and a model of a group of PTWs, are then constructed. Compared to the original SFM, ISFM increases the precision of driving intention prediction by 19.7 % (yielding situation) and 25.0 % (overtaking situation), and reduces the root mean square error between simulated and actual trajectories by 7.8 % and 14.8 % on the bicycle model and the PTW model, respectively. Meanwhile, the model of a group of PTWs also performs well. Finally, the results of ablation experiments also validate the effectiveness of the social force designed based on velocity.

An integrated model chain for diagnosing and predicting conflicts between production-living-ecological space in lake network regions: A case of the Dongting Lake region, China

The disorderly expansion of human production-living construction activities into aquatic ecological sensitive areas has triggered severe production-living-ecological space (PLES) conflicts. However, research on the risk-triggering mechanisms of PLES conflicts in lake network regions and multidimensional scenario simulation techniques is relatively lacking. To address these issues, this study constructs an integrated model chain by coupling the Markov-GMOP-PLUS model to achieve a quantified diagnosis and simulated regulation of spatial conflict strength index (SCSI) under sustainable development goals. Applying it to the Dongting Lake region reveals that: (1) The overall PLES exhibited a distribution pattern where “ecological space encompasses production space, with living space interspersed within”. The category conversion mainly reflected the encroachment of agricultural production space on the plain water ecological space, with a conversion area of up to 899.48 km2. (2) The distinctive “high in the north, low in the south” PLES conflict pattern was closely aligned with the land use structure and water system distribution, with conflict hotspots persistently clustering in the core lake network regions amid rapid urbanization. Among these, the growth rate of severe conflicts in the last ten years was 3.86 times that of the previous ten years. (3) The sustainable development scenario showcased the most effective conflict mitigation by curtailing production-living space expansion and ecological space encroachment. This scenario reversed the growth trend in conflict high-value zones and the reduction trend in low-value zones, with change rates of −3.30 % and 7.05 %, respectively, compared to 2020. This study provides a scientific basis for formulating sustainable land-use policies in lake network regions.

Effects of the incredible years parenting program on children's interpersonal conflict: An integrative data analysis.

Behavioral parenting programs, such as Incredible Years (IY), reduce conduct problems in children. However, conduct problems encompass many different behaviors, and little is known about the effects of parenting programs on specific aspects of children's conduct problems, such as children's relationships with others. The aim of this study was to examine, for the first time, the effects of the IY parenting program on children's levels of conflict with their parents, siblings, and peers. We used individual participant-level data pooled across 12 randomized trials in Europe, comprising a total of 1,409 families: child aged 1-11 years (M = 5.53 years, SD = 1.56) and 61% male, 60% low-income families, and 30% from an ethnic minority. Multilevel models were used to explore the effects of IY on children's conflict with parents, siblings, and peers. The IY program reduced children's conflict with their parents (β = -.21), but there were no main effects of the program on conflict with siblings or peers. Moderation analyses showed that IY reduced conflict in sibling relationships for the 22% of families with the most severe sibling conflict at baseline. This suggests that high-quality behavioral parenting programs, such as IY, can effectively reduce children's conflict within the home (i.e., with parents and siblings), especially when initial levels of sibling conflict are high, but do not have broader benefits on children's interpersonal conflict outside of the home (i.e., with peers). (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Directors’ and officers’ liability insurance and corporate digital transformation

ABSTRACT In the digital era, digital transformation has become imperative for enterprises to seek better development opportunities. Using a sample of Chinese A-share listed firms from 2007 to 2020, we document a positive relationship between directors’ and officers’ liability insurance (D&O insurance) and corporate digital transformation. This correlation is robust to a series of robustness tests. Further mechanism tests reveal that mitigating agency costs and enhancing risk-taking ability are two potential channels. Additional heterogeneity analyses show that the impact of D&O insurance on digital transformation is more pronounced for non-state-owned firms, firms perceiving more economic policy uncertainty, firms with less media coverage and firms in highly competitive industries. These findings suggest that companies should pay attention to the positive governance effect of D&O insurance and it’s more advisable for companies with severe agency conflict and weak risk-taking ability to purchase D&O insurance to facilitate digital transformation.

Socio‐economic strategy for settlement of refugees amidst crisis: The case of Pak‐Afghan

AbstractToday, global concerns are at their peak due to the fast‐growing number of refugees. The world faces the dilemma of the refugee crisis, which needs to be addressed by the United Nations (U.N.) sustainable development goals (SDGs). Pakistan hosts about 1.4 million registered refugees in camps and urban areas. The majority consist of Afghans who departed due to severe poverty, conflict, and security concerns. These refugees bring socio‐economic distress to the host country. In order to comprehend the whole crisis, this study primarily focuses on three areas: the unstable political and security situation in the country of origin, the refugee concerns and their implications. This research is unique throughout the literature as it applies the interpretive structural modelling (ISM) tool to view the refugee crisis holistically. Results from ISM show that the ‘Political situation of Afghanistan’ is the most influential factor with very high driving power. Afterward, 10 resulting factors were opted from the ISM model, which demonstrate the implications on the host country. The relative importance index (RII) approach was used to rank the resultant factors. Ranking from RII depicts a significantly different impact of refugees while residing in urban areas. Using the Prisoner's dilemma of cooperative game theory (GT), this study concludes by recommending refugees to get registered and the host country to settle them in the local population. The use of cooperative GT with the nexus of ISM and RII is also exceptional and will be helpful for researchers and policymakers to resolve any conflict.

Job crafting, positive psychological capital, and social support as predictors of job embeddedness on among clinical nurses- a structural model design

BackgroundThis study establishes the relationships among role conflict, positive psychological capital, social support, job crafting, and job embeddedness among clinical nurses. The results are expected to provide a basis for efficient human resource management in hospitals.MethodsConsidering a 15% dropout rate, we distributed 300 copies of our questionnaire, of which 290 were returned. We used 260 responses in the final analysis after excluding 40 responses that were incomplete or showed an identical pattern in the item responses. Participants were clinical nurses with less than one year of experience in general and tertiary general hospitals in G province and D metropolitan city in South Korea. A structured questionnaire was administered from January 10 to February 28, 2022. The collected data were analyzed using SPSS 26.0 and AMOS 26.0. We assessed the statistical significance using the bootstrapping method.ResultsThe direct and total effects (both β = 0.806, p =.007) of positive psychological capital on job crafting were significant. The direct and total effects (both β = 0.451, p =.004) of social support on job crafting were significant. The direct (γ = 0.292, p =.055), indirect (γ = -. 671, p =.003), and total (γ = − 0.379, p =.008) effects of role conflict on job crafting were significant. The direct (γ = − 0.382, p =.007), indirect (γ = − 0.208 p =.003), and total (γ = − 0.589, p =.006) effects of role conflict on job embeddedness were significant. The direct and total (both β = 0.548, p =.005) effects of job crafting on job embeddedness were significant.ConclusionsNurses’ job embeddedness is directly influenced by their job crafting, which is shaped by high levels of positive psychological capital and social support. When job crafting takes place, role conflict increases, and if job crafting becomes difficult because of severe role conflict, job embeddedness decreases. Therefore, to increase job embeddedness among clinical nurses, hospitals must implement support systems and programs to increase job autonomy, and positive psychological capital to promote job crafting.

Research on the urban green transportation development level evaluation based on the triangular pythagorean fuzzy multiple attribute decision making

With the acceleration of urbanization and the significant improvement of people’s living standards, the motorization of urban transportation in China has developed rapidly, and the number of urban motor vehicles has sharply increased. This has also caused a series of problems such as increasingly severe urban road traffic congestion, increased traffic energy consumption, and atmospheric environmental pollution. Unprecedented social and environmental pressures have put forward higher requirements for the development model of urban transportation. Against the backdrop of increasingly severe conflicts between urban transportation and resource environment in China, green transportation with the goal of “meeting maximum demand with minimum consumption” has gradually received widespread attention from the academic community. The urban green transportation development level evaluation is a classical multiple attribute decision making (MADM). In this paper, we define the triangular Pythagorean fuzzy sets (TPFSs) and investigate the MADM problems under TPFSs. Based on the traditional geometric BM (GBM) operator and generalized weighted GBM (GWGBM) operator, some triangular Pythagorean fuzzy operators are proposed: triangular Pythagorean fuzzy generalized GBM (TPFGGBM) operator and triangular Pythagorean fuzzy generalized WGBM (TPFGWGBM) operator. Accordingly, we have took advantage of these operators to develop some approaches to work out the triangular Pythagorean fuzzy MADM. Ultimately, a practical example for urban green transportation development level evaluation is took advantage of to validate the developed approach, and an influence analysis of the parameter on the final results is been presented to attest its availability and validity.