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Found 6374 publications
Pro-environmental behavior as a driver of organizational sustainability: insights from a bibliometric analysis
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
This study aims to explore the current research progress and developmental trends in the domain of pro-environmental behavior (PEB) and its role in driving organizational sustainability. It further investigates how organizational, socio-cultural, and behavioral factors influence sustainability across various contexts and proposes directions for future research. The study employs a bibliometric review approach, which was conducted using R and VOSviewer software to identify key publication patterns, influential contributors, and thematic evolution. The analysis reveals a significant increase in research interest in PEB and organizational sustainability, particularly following the introduction of the UN’s Sustainable Development Goals (SDGs). The most developed themes in recent years involve employee attitudes, education, corporate social responsibility (CSR), green human resource management (GHRM), environmental commitment, and organizational citizenship behavior (OCB). This study offers a comprehensive and up-to-date synthesis of how PEB-related research supports organizational sustainability. It uniquely maps the intellectual structure and thematic evolution of the field over time. Furthermore, it provides theoretical contributions and practical implications by outlining future research directions, particularly in understanding the contextual influence of socio-cultural and behavioral drivers on organizational practices.
Open Access: Yes
Comparison of sustainability and circularity indicators: downstream vs. upstream supply chain strategies
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
In the quest for sustainable and circular practices within supply chains, both downstream and upstream strategies play pivotal roles. This structured literature review aims to compare the indicators of sustainability and circularity between downstream and upstream supply chain strategies, evaluating their impact through practical cases and empirical studies. The downstream strategies, which focus on waste management, customer engagement, and reverse network planning, are explored alongside upstream strategies such as sourcing environmentally friendly raw materials and integrating design for circularity principles. This paper assesses the efficacy of these strategies through a comprehensive review of scholarly articles, reports, and case studies in achieving sustainability and circularity goals. The literature review reveals that downstream strategies often face challenges related to felxibility and operational efficiency while crucial for managing end-of-life products and optimizing resource utilization. Conversely, upstream strategies, emphasizing eco-friendly sourcing and circular design principles which demonstrate significant potential for long term sustainability and circularity. Practical cases illustrate how upstream interventions can lead to reduced environmental impact, enhanced resource efficiency, and increased product longevity across various industries. Furthermore, the review highlights the interconnectedness of downstream and upstream strategies within the broader supply chain ecosystem. Synergistic approaches that integrate both strategies demonstrate the highest potential for driving transformative change towards sustainable and circular supply chains. Ultimately, this review underscores the importance of integrated approaches that leverage both downstream and upstream strategies to achieve lasting environmental and economic benefits to provides insights for policymakers and researchers seeking to prioritize interventions that maximize sustainability and circularity across the supply chain.
Open Access: Yes
Pathways to asbestos-free and sustainable cities using multi-level perspective approach
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
Urban policymakers, researchers, and municipal planners increasingly face the challenge of managing complex sustainability transitions, particularly in contexts involving persistent environmental hazards such as asbestos contamination. This systematic review applies the Multi-Level Perspective (MLP), which examines interactions between niche innovations, socio-technical regimes, and broader landscapes, to the underexplored area of asbestos-free urban transitions. The concept of an “asbestos-free city” is introduced in this paper as a novel analytical lens to describe urban transitions aiming to eliminate asbestos-related risks through systemic, sustainable interventions. The review was conducted through a structured qualitative analysis of peer-reviewed academic literature, guided by predefined thematic criteria and relevance to urban asbestos-related transitions. The review highlights the factors that enable or hinder the adoption of asbestos-free and strong sustainable solutions, as well as the role of various actors, such as policymakers, industry, and civil society, in driving these transitions. Despite the growing body of work on sustainability transitions, the integration of MLP into asbestos-related urban transformation remains limited. This paper fills that gap by offering a structured synthesis and proposing a roadmap for future research and practice. Our findings provide actionable insights for actors across policy, civil society, and industry seeking to accelerate transitions toward asbestos-free and sustainable cities.
Open Access: Yes
Eating disorders and disordered eating on wrestling sport: a systematic review
Publication Name: BMC Nutrition
Publication Date: 2025-12-01
Volume: 11
Issue: 1
Page Range: Unknown
Description:
Although there are studies on the effects of eating disorders (EDs) among athletes, a limited number of studies have been conducted in wrestling. This systematic review aims to identify the prevalence of eating disorders (ED) and disordered eating (DE) in wrestling, which is important for developing healthier weight control behaviours within the sport. A systematic review was conducted following the PRISMA protocol, focusing on publications from the last 10 years. PubMed, Scopus, PsycINFO, SPORTDiscus and Web of Science were used to identify eligible studies with the searching terms “Eating disorders” AND “wrestlers” OR “Eating disorders” AND “wrestling” OR “Disordered eating” AND “wrestlers” OR “Disordered eating” AND “wrestling” OR “Anorexia Nervosa” AND “wrestlers” OR “Anorexia Nervosa” AND “wrestling” OR “Bulimia Nervosa” AND “wrestlers” OR “Bulimia Nervosa” AND “wrestling” within the timeframe from 2014 to 2024. Eight articles met the inclusion criteria. When all studies were considered as a homogeneous group, the analysis revealed: (a) wrestlers are significantly more susceptible to Eds than other branches, (b) wrestlers have unhealthy weight control behaviors to control weight for optimum performance and to enhance their muscular appearance due to body image issues. It is recommended that future research address eating disorders, which have predominantly been studied in male wrestlers, within female wrestlers as well. Additionally, it is advised to identify potential causes contributing to the elevated risk of eating disorders among wrestlers and to develop targeted prevention strategies.
Open Access: Yes
An Analytically Derived Gauss–Legendre Quadrature for Axis-Aligned Ellipse–Ellipse Intersection
Publication Name: Mathematics
Publication Date: 2025-12-01
Volume: 13
Issue: 23
Page Range: Unknown
Description:
Accurate and efficient evaluation of the intersection area between two axis-aligned ellipses is essential in applications where the coordinate system or underlying geometry naturally imposes alignment. However, most existing numerical integration techniques are designed for arbitrarily oriented ellipses, and their generality typically requires adaptive refinement or solving higher-degree algebraic intersection formulations, leading to greater computational cost than necessary in the axis-aligned case. This study introduces two analytically derived, fixed-cost Gauss–Legendre quadrature formulations for computing the intersection area in the axis-aligned configuration. The first is a sine-mapped Gauss–Legendre quadrature, which applies a trigonometric transformation to improve conditioning near endpoint singularities while retaining constant-time evaluation. The second is an enhanced two-panel affine-normalized formulation, which splits the intersection domain into two sub-intervals to increase local accuracy while maintaining a fixed computational cost. Both methods are benchmarked against adaptive Simpson integration, polygonal discretization, and Monte Carlo sampling over 10,000 randomly generated ellipse pairs. The two-panel formulation achieves a mean relative error of 0.003% with runtimes more than twenty times faster than the adaptive reference and remains consistently more efficient than the polygonal and Monte Carlo approaches while exhibiting comparable or superior numerical behavior across all tested regimes.
Open Access: Yes
DOI: 10.3390/math13233814
Flower fertilization optimization algorithm with application to adaptive controllers
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
This article presents the Flower Fertilization Optimization Algorithm (FFO), a novel bio-inspired optimization technique inspired by the natural fertilization process of flowering plants. The FFO emulates the behavior of pollen grains navigating through the search space to fertilize ovules, effectively balancing exploration and exploitation mechanisms. The developed FFO is theoretically introduced through the article and rigorously evaluated on a diverse set of 32 benchmark optimization problems, encompassing unimodal, multimodal, and fixed-dimension functions. The algorithm consistently outperformed 14 state-of-the-art metaheuristic algorithms, demonstrating superior accuracy, convergence speed, and robustness across all test cases. Also, exploitation, exploration, and parameter sensitivity analyses were performed to have a comprehensive understanding of the new algorithm. Additionally, FFO was applied to optimize the parameters of a Proportional-Integral-Derivative (PID) controller for magnetic train positioning—a complex and nonlinear control challenge. The FFO efficiently fine-tuned the PID gains, enhancing system stability, precise positioning, and improved response times. The successful implementation underscores the algorithm’s versatility and effectiveness in handling real-world engineering problems. The positive outcomes from extensive benchmarking and practical application show the FFO’s potential as a powerful optimization tool. In applying multi-objective PID controller parameter optimization, FFO demonstrated superior performance with a sum of mean errors of 190.563, outperforming particle swarm optimization (250.075) and dynamic differential annealed optimization (219.629). These results indicate FFO’s ability to achieve precise and reliable PID tuning for control systems. Furthermore, FFO achieved competitive results on large-scale optimization problems, demonstrating its scalability and robustness.
Open Access: Yes
Decision Support System for Financial and Accounting Performance Assessment in Manufacturing Industries
Publication Name: International Journal of Computational Intelligence Systems
Publication Date: 2025-12-01
Volume: 18
Issue: 1
Page Range: Unknown
Description:
The increasing intricacy of financial and accounting decisions within manufacturing sectors necessitates comprehensive, data-driven assessment tools. This study examines the assessment of financial and accounting performance in manufacturing firms amidst uncertainty, emphasizing the importance of reliable and transparent decision support. A novel decision support system is proposed, integrating advanced multi-criteria decision-making techniques. Picture fuzzy sets are utilized to represent uncertainty and hesitation in expert evaluations by depicting positive, neutral, and negative assessments with different levels of indeterminacy. A dual weighting approach is utilized, employing the logarithmic percentage change-driven objective weighting method to quantify the dispersion and relevance of criterion data, while the ranking comparison method systematically integrates expert preferences. The MARCOS method is employed to assess alternatives and rank firms according to compromise solutions. A case study of manufacturing firms demonstrates the model’s applicability, revealing that profitability, liquidity, and efficiency of costs are the primary financial and accounting measures. The automotive part supplier has been recognized as the best option due to its emphasis on liquidity ratios and efficiency in operations, enabling it to fulfill supply commitments and mitigate risks related to profit margin limitations and quality compliance costs. The sensitivity and comparative analyses illustrate the system’s endurance and adaptability under different circumstances and stakeholder perspectives.
Open Access: Yes
Assessing the texture profile and optimizing the temperature and soaking time for the rehydration of hot air-dried Auricularia auricula-judae mushrooms
Publication Name: Discover Food
Publication Date: 2025-12-01
Volume: 5
Issue: 1
Page Range: Unknown
Description:
Rehydrating dried jelly ear mushrooms allows them to take on the original shape, and texture, but no thorough study has been done to date to determine the ideal rehydration parameters. The study aimed to optimize the rehydration conditions of the hot-air-dried jelly ear mushroom, to achieve the most similar stock to the fresh mushroom. To achieve this, the mushrooms dried to a constant weight at 40 °C were soaked in water that had been heated to 20–100 °C for 10–70 min. The mushrooms were weighed and examined the texture profile to determine the rehydration %, hardness, gumminess, chewiness, springiness, and cohesiveness at each tested temperature and soaking time. The fresh mushroom used as a control had a moisture content of 95.39 m/m%, hardness of 847.40, springiness of 0.70, gumminess of 562.04, chewiness of 423.98 N/m2, and cohesiveness of 0.66 J/m3. These results were compared to the rehydrated mushroom samples texture profile test results, and it was found that the dried mushrooms recovered nearly the same texture as the fresh mushrooms with a 20-minute soak at 40 °C. As consumers prefer rehydrated products to be similar to fresh products in terms of texture and enjoyment value, it is crucial to determine the ideal rehydration parameters. However, each drying method and temperature has a different effect on the texture and water absorption capacity of the mushrooms, so the mentioned results are only achieved with the described parameters.
Open Access: Yes
Identifying Consumer Segments for Advanced Driver Assistance Systems (ADAS): A Cluster Analysis of Driver Behavior and Preferences
Publication Name: Future Transportation
Publication Date: 2025-12-01
Volume: 5
Issue: 4
Page Range: Unknown
Description:
The rapid advancement of Advanced Driver Assistance Systems (ADAS) is reshaping the future of mobility by offering potential improvements in safety, efficiency, and driving experience, yet consumer acceptance remains uneven across regions. This study addresses the gap in knowledge and trust by examining how Hungarian drivers, as part of the Central and Eastern European context, perceive and adopt ADAS technologies. To achieve this, we conducted two expert in-depth interviews to refine the research instrument, followed by an online survey of 179 drivers. Using k-means cluster analysis, we identified three distinct consumer segments: Conservative Controllers, who demonstrate low levels of trust and willingness to adopt ADAS; Cautious Adopters, who weigh costs and benefits carefully; and Pragmatic Innovators, who are open to experimentation and display the highest acceptance and willingness to pay. The results reveal that awareness and familiarity strongly influence acceptance, highlighting the role of consumer education and transparent communication in shaping adoption. The findings suggest that manufacturers, driving schools, and policymakers can accelerate the diffusion of ADAS by developing targeted strategies tailored to different consumer groups. Strengthening knowledge and trust in these systems will not only support their market success but also contribute to safer, more sustainable transportation.
Open Access: Yes
