Search Results (58)

Hostility toward diversity, equity, and inclusion (DEI) programs threaten to widen long-term racial economic gaps in the U.S. As the demographic makeup of the country continues to shift, a failure to address these gaps will have growing negative impacts on overall national prosperity. In this paper, three issues are discussed in order to achieve the broad goal of greater social and economic justice: (1) rebranding DEI and encouraging equity and fairness principles (EFP) for all, (2) using organizational and social science theories to illustrate and explain the ongoing sources of inequity and unfairness within Black and other minority communities, and (3) changing the focus of the argument for social justice away from a moral argument to the economic argument. This paper provides conceptual and theory-based arguments to illustrate how superior organizational performance is achieved through diversity and to make the case for the proposed EFP framework. Practical and theoretical implications are explored to reduce misunderstanding of the goals of DEI and return focus toward the continued and ongoing need to address social and economic inequality. Full article

This study aims to clarify how different types of motivation influence employee retention by identifying the distinct roles of intrinsic and extrinsic factors in shaping job satisfaction, particularly under varying levels of urban stress and generational identity. Drawing on Herzberg’s Two-Factor Theory and Self-Determination Theory, we distinguish between intrinsic drivers (e.g., autonomy, achievement) and extrinsic hygiene factors (e.g., pay, stability). Using survey data from 356 Chinese employees and applying PLS-SEM with a moderated mediation design, we investigate how urbanization and Generation Z moderate these relationships. Results show that intrinsic motivation enhances satisfaction, especially in urban settings, while extrinsic factors negatively affect satisfaction when perceived as insufficient or unfair. Job satisfaction mediates the relationship between motivation and retention, although this effect is weaker among Generation Z employees. These findings refine motivational theories by demonstrating how environmental pressure and generational values jointly shape employee attitudes. The study contributes a context-sensitive framework for understanding retention by integrating individual motivation with macro-level moderators, offering practical implications for managing diverse and urbanizing labor markets. Full article

The realization of forest ecological functions value is an important path for implementing the “Two Mountains” theory. Improving the efficiency of forest ecological functions and benefits value realization faces several challenges, such as an underdeveloped value evaluation system that makes it difficult to quantify ecological value, a weak policy system lacking effective incentive mechanisms, and unclear ecological property rights leading to unfair benefits distribution. Forest new quality productive drivers are a key factor in promoting high-quality forestry development, and can effectively address several issues hindering the efficiency of forest ecological functions and benefits value realization. Forest ecological functions and benefits are divided into tangible forest products and intangible ecological services, with the efficiency of realizing their economic and welfare values reflecting the input–output status of forest ecological value. This paper constructs an indicator system for assessing the modern productive capacity in forestry and the efficiency of forest ecological value realization, and uses a two-stage network DEA model and a double fixed effects model for empirical analysis. The study finds that the advanced drivers of forestry productivity significantly enhance the efficiency of forest ecological economic value realization but constrain the efficiency of ecological welfare value realization, with significant regional differences. As a moderating variable, enhancing the resilience of the industry chain can significantly deepen the effect throughout the process, while improving the informatization level of residents can weaken the constraints of forest new quality productive drivers on the efficiency of forest ecological welfare value realization. Therefore, this paper offers targeted recommendations aimed at providing theoretical support and practical guidance for optimizing the efficiency of forest ecological value realization. Full article

The exchange of gradients is a widely used method in modelling systems for machine learning (e.g., distributed training, federated learning) in privacy-sensitive domains. Unfortunately, there are still privacy risks in federated learning, as servers can reconstruct clients‘ training data through gradient inversion attacks. To protect against such attacks, we need to know when and how privacy is being undermined, largely due to the black box nature of deep neural networks. Although gradient inversion has been used to classify images and text data, its use in time-series is still largely unexplored. In this paper, we empirically evaluate the practicality of recovering lithium-ion battery time-series data from the gradients of a transformer-based model, both without and with differential privacy, in a time-series federated learning framework. It is especially significant in the case of electric vehicles (EVs). As shown in this paper, additional protection by differential privacy leads to the saturation of gradient inversion attacks, i.e., the reconstructed signal maintains a certain error level, depending on the applied privacy budget level. With this empirical evaluation, we provide insights into effective gradient perturbation directions, unfairness with respect to privacy, and privacy-preferred model initialisation. Full article

Around 2–8% of children and adolescents in developed societies are young carers, who provide care for ill, disabled, or addicted family members. This paper investigates the vulnerability and multidimensional injustices faced by young carers, drawing on empirical studies—both qualitative and quantitative—and social theory to reveal how young carers navigate their roles within the broader context of social inequality, highlighting the social structures and mechanisms that contribute to their marginalization and the detrimental consequences for their social inclusion, well-being, and personal development. The methodology of this article is a narrative analysis of relevant empirical research on young carers, combined with an analysis of this literature through a normative framework of social justice, which examines four dimensions of justice in order to highlight the vulnerability of young carers. (1) Firstly, young carers are often pushed into their situation because of economic and social constraints, which do not allow the family to find a different solution. Economic inequalities lead to and enforce caring obligations and have a cumulative negative effect on the young carer. Limited resources can be problematic for social inclusion, and when combined with caring obligations, they are corrosive. (2) Secondly, young carers are often victims of moral blackmail, which is that they are trapped in a situation where it would be morally wrong for them to act otherwise. Such moral blackmail can be carried out by those who are cared for, by the family and relatives or even by society, which could, but does not provide alternatives to young carers. (3) Thirdly, young carers are often manipulated to accept their caring obligations through distorted social norms and practices. Other than in the case of moral blackmail, such young carers do not care because they want to do the morally right thing and do have no alternatives available, but because they internalized that it would be normal for them to do so. Two concepts are useful to capture this aspect: adaptive preferences and indoctrination. (4) Fourthly, young people caring is often a form of exploitation, in that it takes unfair advantage of the young carer by receiving something from them, without giving an equivalent in return (and harming them in the process). Full article

The different bargaining power of actors is a long-standing problem in the fruit and vegetable supply chain, where buyers (e.g., retailers, industry, and wholesalers) have more power than agricultural producers and are, therefore, able to engage in commercial practices that may be perceived as unfavorable or even unfair by the weaker part. This study explores how producers perceive the quality of commercial relations. The methods include a focus group discussion with sales managers of producer organizations and a survey of agricultural producers in Italy. We measure their willingness to change buyer and their stated overall satisfaction with the commercial relation by analyzing ninety-eight commercial relations and five dimensions of quality in the relationship. We identify four clusters of relationships characterized by different quality levels. The satisfaction and willingness to change buyers significantly differ across the clusters; economically favorable commercial relations are associated with a low willingness to change buyers, even when the producer is not satisfied with the overall quality of the relationship. The highest levels of satisfaction and the lower willingness to change buyers are reached for commercial relations that are not only economically favorable but also include positive relational aspects such as trust and mutual commitment. Full article

This study examined the perceptions of physical education teachers regarding inclusive education in their classes. A qualitative, cross-sectional design was employed, using a digital survey with an open-ended question designed to explore barriers and needs in implementing inclusive practices. Thematic content analysis was conducted to identify key themes from the responses. Seventy-five in-service physical education teachers from diverse educational contexts in Spain participated, sharing their experiences and challenges. Participants expressed genuine interest in receiving training and incorporating inclusive principles into their practices. However, structural limitations, such as high student–teacher ratios and insufficient specialized resources, significantly hindered their ability to implement these strategies effectively. Persistent challenges, including excessive workloads and the lack of support personnel, were reported, leading to frustration in their efforts to provide an equitable education for all students. Although focused on the Spanish context, these findings resonate with international research, highlighting similar structural barriers to inclusive education. This study underscores the need for ongoing, discipline-specific training for physical education teachers, supported by strong institutional commitments to ensure the provision of adequate human and material resources. Without such support, the burden on teachers remains disproportionate and ultimately unfair, hindering progress towards a truly inclusive educational environment. Full article

Artificial intelligence (AI) holds tremendous potential for promoting equity and access to science, technology, engineering, and mathematics (STEM) education, particularly for students with disabilities. This conceptual review explores how AI can address the barriers faced by this underrepresented group by enhancing accessibility and supporting STEM practices like critical thinking, inquiry, and problem solving, as evidenced by tools like adaptive learning platforms and intelligent tutors. Results show that AI can positively influence student engagement, achievement, and motivation in STEM subjects. By aligning AI tools with Universal Design for Learning (UDL) principles, this paper highlights how AI can personalize learning, improve accessibility, and close achievement gaps in STEM content areas. Furthermore, the natural intersection of STEM principles and standards with the AI4K12 guidelines justifies the logical need for AI–STEM integration. Ethical concerns, such as algorithmic bias (e.g., unequal representation in training datasets leading to unfair assessments) and data privacy risks (e.g., potential breaches of sensitive student data), require critical attention to ensure AI systems promote equity rather than exacerbate disparities. The findings suggest that while AI presents a promising avenue for creating inclusive STEM environments, further research conducted with intentionality is needed to refine AI tools and ensure they meet the diverse needs of students with disabilities to access STEM. Full article

Fairness in competitive games such as the Ultimatum Game is often defined theoretically. According to some of the literature, in which fairness is determined only based on resource allocation, a proposal splitting resources evenly (i.e., 5:5) is generally assumed as fair, and minimal deviation (i.e., 4:6) is considered enough to classify the proposal as unfair. Relying on multinomial processing tree models (MPTs), we investigated where the boundaries of fairness are located in the eye of responders, and pit fairness against relative and absolute gain maximization principles. The MPT models we developed and validated allowed us to separate three individual processes driving responses in the standard and Third-Party Ultimatum Game. The results show that, from the responder’s perspective, the boundaries of fairness encompass proposals splitting resources in a perfectly even way and include uneven proposals with minimal deviance (4:6 and 6:4). Moreover, the results show that, in the context of Third-Party Ultimatum Games, the responder must not be indifferent between favoring the proposer and the receiver, demonstrating a boundary condition of the developed model. If the responder is perfectly indifferent, absolute and relative gain maximization are theoretically unidentifiable. This theoretical and practical constraint limits the scope of our theory, which does not apply in the case of a perfectly indifferent decision-maker. Full article

Following the economic shocks of recent decades, characterized by the destabilization of markets and pressure on national economies, protectionist policies have seen a significant increase. Thus, anti-dumping has become a convenient and frequently used tool in the political game of trade. In the context of the transition toward a climate-neutral economy, anti-dumping measures have become a topic of great interest due to their indirect effects on CO₂ emissions. Often used to protect domestic industries from unfair trade practices, these measures influence trade and the geographical redistribution of production, contributing to the phenomenon of “carbon leakage”. By transferring emissions from countries with strict climate regulations to economies with more permissive standards, anti-dumping measures can undermine global efforts to reduce emissions. Trade policies are becoming, in this context, an important tool in regulating international trade. Consequently, the objective of this paper is to analyze the impacts of anti-dumping measures, primary energy consumption, and urbanization on CO₂ emissions in OECD countries for the period 2000–2021. The methodology used is based on dynamic A.R.D.L. models using panel data. Our results suggest that anti-dumping measures and primary energy consumption influence CO₂ emissions and are statistically significant, at least at the 10% level. The results of this study are useful to both policymakers and environmental authorities in developing trade policies that support both economic development and emission-reduction targets. Full article

Work disparities, such as unfairness in pay or unequal distribution of work experienced by nurses in long-term care (LTC), can impact the retention and health of this workforce. Background: Despite the significant impact of disparities on nurses’ health in LTC, a literature review on work disparities of nurses in LTC has not been conducted. Method: This scoping review aimed to explore the nature and extent of research on meso-level work disparities experienced by nurses in LTC and its links with nurse health and well-being. Five databases were searched: MEDLINE (Ovid), EMBASE (Ovid), PsycINFO (Ovid), SCOPUS, and CINAHL (EBSCO host). Results: Of the 5652 articles retrieved, 16 studies (14 quantitative and 2 qualitative) published between 1997 and 2024 met the inclusion criteria. A total of 53 work disparities were identified. Only four articles investigated the association of a work disparity with a variable of health (e.g., physical, mental, or poor general health). Conclusions: The results suggest that more attention to how disparities impact nurses’ health and lived experiences is warranted. Meso-level disparities from this review provide an initial basis to consider possibilities in the workplace, especially in supporting equity and opportunities for health and well-being at work (e.g., through fair access to professional growth opportunities and a more equitable balance of work expectations and demands of nursing staff). Future studies of the intersection of macro- and meso-level factors are needed to inform better workplace practices and social and economic policies to support the well-being, health, and safety of nurses at work in LTC. Full article

Nowadays, the use of digital services is indispensable to the daily activity of businesses or end users. Digital services and online platforms contribute to the internal market by opening new business opportunities, increasing industry competitiveness, and widening consumer choice. While digital services have contributed to boosting innovation and developing new business models, a few online platforms act as gatekeepers by controlling a large digital market, likely leading to unfair practices and conditions for business users and end users. Against this background, this paper discusses the rationale and the necessity for regulating digital technology development in the digital market. It analyses the EU’s approach to adapting competition policy for the digital age. This paper argues that the Digital Markets Act will undoubtedly impact business models in the digital market and regulatory framework at the national level. However, its fundamental success will depend on whether the Commission has the appropriate tools to address the development of new technologies. Full article

Forest restoration and tree-planting projects initiated as a response to climate change and biodiversity loss are increasingly important around the globe. Small-scale and community-based tree nurseries have been promoted as a potential route to meeting some local or regional supply-side bottlenecks. A study in the UK used a mixed methods approach to assess the potential contribution of community tree nurseries (CTNs) to tree material supply. Semi-structured interviews (SSIs) were undertaken with 16 CTNs across the UK to generate a sector-wide characterisation of CTNs. A UK-wide online survey assessed the total number of CTNs, production methods and volumes, biosecurity practices and benefits of community involvement. Another 13 CTNs receiving support to establish and extend their operations took part in SSIs assessing their development. The results indicate that there are four broad types of CTN (Organisation- and project-based, Community-based, Enterprise and Network CTNs). A significant number of CTNs in Britain are new and establishing. The sustainability of CTNs relies in large part on grant support rather than income from tree sales. Production is almost exclusively native broadleaves and local provenances. There are policy implications concerning: i. the suitability of species being produced to future climatic and market conditions and ii. the tension around financial viability, grant dependence and CTN sustainability for those CTNs focused on social and environmental benefits rather than income generation. Identifying gaps in the provision of trees by commercial nurseries, e.g., uncommon or recalcitrant species, could be a feasible financial strategy. It is likely that financial support and skills development are likely to be required as social innovation in the community-supported tree nursery sector establishes and develops. Judging the success and impact of some types of CTNs in terms of production and finance measures may be unfair, as other social and environmental benefits may be as important and valuable. It is clear that more evaluative research is needed to quantify and better understand these kinds of outcomes and the added value they accrue. Full article

Many studies have been conducted on the poor performance of the construction industry. Nigeria’s construction industry has been linked to project delays and cost overruns, leading to many abandoned construction projects throughout the country. These issues are largely attributed to inadequate project management practices and the underutilization of project managers. To address these challenges, an institutional analysis was conducted to examine the factors, within the institutional framework of the Nigerian construction industry, that hinder the effective utilization of project managers and the implementation of project management practices. Data were collected from the previous literature and were supported by data collected through semi-structured interviews in Nigeria. The collected data were coded into a four-level framework for institutional analysis. This method was employed to analyze the interrelationships between the identified embedded factors, institutional laws and regulations, and construction organizations, and to understand how their influence results in the underutilization of project managers. Deviation analysis was conducted as an additional method to categorize the impacts of the embedded factors at each institutional level and to determine how these impacts contribute to the underutilization of project managers in the Nigerian construction industry (NCI). It was found that the system of the underutilization of project managers consists of two subsystems: underutilization and lowering commitment. For the former subsystem, corruption, political influence, religious and tribal discrimination, and organizational culture were found to adversely influence the institutional structure of the construction industry in Nigeria. These factors weaken the governance mechanisms within the industry, leading project managers to prioritize corrupt practices over project needs. The ineffectiveness of existing laws and regulations exacerbates the situation, supporting unfair working conditions and contributing to the underperformance of project managers. This result leads to development at the top of the latter subsystem, with minimal incentives and limited opportunities for career growth within construction organizations. The findings hold significant potential for addressing systemic issues in the Nigerian construction industry, particularly the underutilization of project managers and organizational support measures to improve project management practices and mitigate the adverse effects of corruption. Full article

To alleviate traffic congestion, it is necessary to effectively manage traffic bottlenecks. In existing research, travel demand prediction for traffic bottlenecks is based on travel behavior assumptions, and prediction accuracy is low in practice. Thus, the effect of traffic bottleneck management strategies cannot be guaranteed. Management strategies are often mandatory, leading to problems such as unfairness and low social acceptance. To address such issues, this paper proposes managing traffic bottlenecks based on shared travel plans. To solve the information security and privacy problems caused by travel plan sharing and achieve information transparency, travel plans are shared and regulated by blockchain technology. To optimize the operation level of traffic bottlenecks, travel plan regulation models under scenarios where all/some travelers share travel plans are proposed and formulated as linear programming models, and these models are integrated into the blockchain with smart contract technology. Furthermore, travel plan regulation models are tested and verified using traffic flow data from the Su-Tong Yangtze River Highway Bridge, China. The results indicate that the proposed travel plan regulation models are effective for alleviating traffic congestion. The vehicle transfer rate and total delay rate increase as the degree of total demand increases; the vehicle transfer rate increases as the length of the time interval decreases; and the vehicle transfer rate and total delay rate increase as the number of vehicles not sharing their travel plans increases. By using the model and method proposed in this paper, the sustainability of urban economy, society, and environment can be promoted. However, there are many practical situations that have not been considered in this paper, such as multiple entry and exit bottlenecks, multiple travel modes, and other control strategies. In addition, this paper considers only one bottleneck rather than road networks because of the throughput limitations of blockchain technology. Full article