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Found 6289 publications

External Climate Information Pressure and Corporate ESG Performance: How Public Climate Risk Attention Shapes Sustainability Strategy

Publication Name: Corporate Social Responsibility and Environmental Management

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Against the background of escalating global climate risks and deepening the sustainable development agenda, the public is paying increasing attention to climate change, and the impact on corporate environmental behavior through channels such as information search and public discourse is increasing. This study employs panel data from Chinese non-financial A-share listed companies between 2011 and 2023, utilizing a multidimensional fixed-effects model to examine the impact of public climate risk attention on corporate ESG performance. Empirical findings reveal that heightened public climate risk attention significantly improves corporate ESG performance, underscoring the growing role of informal institutional pressures as drivers of sustainable corporate governance. This catalytic effect is moderated by three key organizational characteristics: female executive representation, managerial ability, and political connections, which respectively enhance the governance role of public attention by shaping the firm's risk perception capabilities, resource integration capabilities, and institutional adaptation capabilities. Heterogeneity tests reveal that the impact of public attention on corporate environmental behavior is more pronounced in non-state-owned enterprises, firms in eastern regions, and companies in competitive industries, indicating that this influence is highly contingent on market and institutional environments. Our findings contribute to a broader understanding of external drivers of ESG behavior and provide support for constructing green governance systems based on public participation.

Open Access: Yes

DOI: 10.1002/csr.70591

Investigation of the Size Effect of Concrete Elements and Surface Optimisation to Enhance DIC Measurements

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2026-01-01

Volume: 1768 LNNS

Issue: Unknown

Page Range: 211-224

Description:

The mechanical performance of concrete elements is significantly influenced by specimen size, particularly in bending behaviour under load. In this study, the size effect of a specific concrete composition was examined through three-point bending tests on specimens of varying dimensions. The results revealed non-linear trends in load-bearing capacity and deformation, indicating that intermediate-sized specimens exhibited more favourable mechanical properties. Surface preparation methods were also investigated to enhance the accuracy of Digital Image Correlation (DIC) measurements using the ARAMIS system. Several factors – including paint absorption, drying time, ambient conditions, and mould materials – were evaluated to determine their impact on speckle pattern quality and system recognition. It was demonstrated that inadequate surface preparation leads to errors in DIC analysis, while optimised surface treatments significantly improve data reliability. The findings emphasise the importance of specimen scaling and standardised surface preparation protocols in experimental setups that utilise non-contact optical measurement techniques. By enhancing the precision and reliability of these experimental methods, this research facilitates the development of smarter, more adaptive infrastructure systems, thereby contributing to the broader goals of Cognitive Mobility. This approach leverages resilient materials and advanced monitoring techniques to enable safer, more efficient, and sustainable transportation solutions.

Open Access: Yes

DOI: 10.1007/978-3-032-13898-9_24

SUSTAINABLE TOURISM AND REGIONAL DEVELOPMENT IN A BORDERLAND CONTEXT: INSIGHTS FROM GREAT RYE ISLAND RESIDENTS IN SLOVAKIA

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2026-01-01

Volume: 65

Issue: 2

Page Range: 759-768

Description:

This study examines residents’ perceptions of sustainable tourism and regional development in Great Rye Island, Slovakia, which is particularly well-suited for cross-border urban and rural tourism. The area’s development falls short of its potential, and we examined the reasons for this from the perspective of the attitudes of local residents. Drawing on social exchange theory, the research explores how local identity, satisfaction with services and infrastructure, and expectations for development shape attitudes toward sustainable tourism. A survey of 528 residents was conducted between January and March 2025. Participation in the research was voluntary and anonymous, and the respondents were selected randomly. Data were analyzed using IBM SPSS, and the following analytical techniques were applied: descriptive statistics, ANOVA, principal component analysis (PCA) and k-means cluster analysis. The research revealed moderate satisfaction with local conditions and that residents prioritize social, cultural, and educational development over commercial or tourism-related services. Besides, development initiatives are likely to gain stronger legitimacy and community support when they build on settlement or Great Rye Island identities rather than on more distant regional or national frames. Furthermore, the analysis identified five underlying factors and eight resident groups with distinct profiles. Results show that dissatisfaction with basic infrastructure-especially utilities, roads, and cleanliness-emerges as a common concern and a prerequisite for tourism development. Moreover, identity alone does not determine support for tourism; rather, attitudes are shaped by the interplay of satisfaction, expectations, and local identities. The findings highlight the heterogeneity of borderland communities and underline the need for tailored development strategies that combine infrastructural improvements with initiatives enhancing community cohesion, cultural vitality, and environmental quality.

Open Access: Yes

DOI: 10.30892/gtg.65213-1718

Controllability analysis of fractional nonlinear dynamical systems using Ψ-Caputo derivatives and prescribed controls

Publication Name: Journal of Taibah University for Science

Publication Date: 2026-01-01

Volume: 20

Issue: 1

Page Range: Unknown

Description:

This article investigates controllability results for fractional dynamical systems with prescribed control, formulated using the (Formula presented.) -Caputo type fractional derivative. For linear systems, controllability is established via fractional calculus and the Gramian approach, while for nonlinear systems it is examined using Krasnoselskii’s fixed point technique. Theoretical findings are further supported with illustrative numerical examples. The study also discusses the mathematical framework required for the analysis and highlights the logical steps followed to derive the main results.

Open Access: Yes

DOI: 10.1080/16583655.2026.2635196

Analytical and numerical investigation of jet engine vibration equation using least square homotopy perturbation method

Publication Name: Journal of Low Frequency Noise Vibration and Active Control

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This research focuses on solving the nonlinear second-order jet engine vibration equation utilizing a hybrid analytical technique named the least square homotopy perturbation method (LSHPM). The numerical and graphical comparison of the solutions obtained using the homotopy perturbation method (HPM), LSHPM, and the MATLAB built-in solver bvp5c is presented across four distinct cases. Additionally, a comparative analysis between the solutions derived from LSHPM and those reported in previous literature is also presented. The tabular and graphical representation of the solutions, along with the numerical validation through residual error analysis, are given. Furthermore, the convergence analysis of the LSHPM for its stability and solution reliability is provided. The graphical and numerical representation of the residual error analysis reveals that LSHPM exhibits superiority over HPM in terms of rapid convergence and accuracy. The strong agreement between the results obtained from HPM and bvp5c with those of LSHPM demonstrates that LSHPM offers a more efficient, reliable, and fast convergent solution of the initial and boundary value problem.

Open Access: Yes

DOI: 10.1177/14613484251413078

Green City Development in a Mid-Sized Hungarian City: A Case Study of Komárom’s Environmental Initiatives

Publication Name: Journal of Sustainability Research

Publication Date: 2026-01-01

Volume: 8

Issue: 1

Page Range: Unknown

Description:

Background: This study aims to summarize and analyze the possibilities, findings, and results related to the concept of green cities as an environmentally friendly and sustainable model of urban development. A key aspect of this is the integration of innovative, environmentally friendly solutions into a city’s development. Methods: The study integrates a systematic literature review, synthesizing prior research on the topic, with a detailed examination of a Hungarian city as a case study. This approach provides evidence of how an innovative environmental program and climate strategy can enhance a city’s green spaces, boost its competitiveness, and strengthen its image. Results: The study’s insights, derived from a systematic literature review synthesizing global green city research, can serve as a good example to effectively assist the implementation of future green projects in both domestic and international cities. Compilation of key indicators as a model from both the literature and case study, includes the development of green networks, recreational spaces, and an improved city image through community engagement. Conclusions: By examining the multifaceted impact of various green city functions and solutions on sustainability, the analysis offers a comprehensive understanding of how and to what extent green city concepts contribute to shaping the city’s image. Furthermore, the case study helps to recognize that smaller settlements are also capable of implementing effective, green strategies that contribute to the development of their image. A future research direction could be to assess whether cities have strategic planning documents that specifically promote green cities and solutions, and if so, for what time frame they are designed. Such research would allow us to categorize cities based on their green city strategies.

Open Access: Yes

DOI: 10.20900/jsr20260018

Entrepreneurship education as a driver of sustainable innovation and community development

Publication Name: Asian Education and Development Studies

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-21

Description:

Purpose – In the contemporary higher education landscape, there is an increasing emphasis on the integration of entrepreneurship education (EE) as a strategic tool to address societal challenges. However, there is a paucity of research that explores the manner in which EE contributes to sustainable innovation and community development in Central and Eastern Europe (CEE). Design/methodology/approach – A multiple-case study was conducted of three representative programmes from Hungary and Poland. Institutional and policy documents, programme materials, evaluations and official statistics were triangulated and then synthesized cross-culturally against predefined criteria. Findings – The following models have been identified as exemplars of best practice in this field: (1) Centrally coordinated, curriculum-embedded models [for example, Hungary’s Hungarian Startup University Program (HSUP)] that broaden access via credits, stipends and national coverage and (2) decentralized, ecosystem-anchored pathways (for example, Poland’s Aula Polska, PFR School of Pioneers and WUT’s Startup Entrepreneurship) that deepens community embeddedness through peer learning, mentoring networks and problem-driven projects. Across cases, entrepreneurship education fosters human-capital formation, opportunity recognition in green and social domains and university–community linkages; persistent challenges include high dropout rates, fragmented governance and weak long-term impact tracking. Originality/value – The present study demonstrates how governance design conditions EE’s sustainability contribution pathways, which are comprised of the following three elements: mindset formation, project-based experimentation and community and industry interfaces. HSUP primarily focuses on scaling inclusive access and early prototyping at the national level, while the Polish programmes primarily seek to strengthen local innovation communities and promote translational learning. The study contributes to the refinement of theory on entrepreneurial universities by establishing a correlation between EE design choices and sustainable innovation and community development mechanisms in CEE. Furthermore, it offers actionable implications for programme evaluation and funding.

Open Access: Yes

DOI: 10.1108/AEDS-09-2025-0455

Artificial intelligence in academic practices and policy discourses across ‘Big 5’ publishers

Publication Name: Research Evaluation

Publication Date: 2026-01-01

Volume: 35

Issue: Unknown

Page Range: Unknown

Description:

The present study investigates how the five largest academic publishers (Elsevier, Springer, Wiley, Taylor & Francis, and SAGE) are responding to the epistemic and procedural challenges posed by generative AI through formal policy frameworks. Situated within ongoing debates about the boundaries of authorship and the governance of AI-generated content, our research aims to critically assess the discursive and regulatory contours of publishers’ authorship guidelines (PGs). We employed a multi-method design that combines qualitative coding, semantic network analysis, and comparative matrix visualization to examine the official policy texts collected from each publisher’s website. Findings reveal a foundational consensus across all five publishers in prohibiting AI systems from being credited as authors and in mandating disclosure of AI usage. However, beyond this shared baseline, marked divergences emerge in the scope, specificity, and normative framing of AI policies. Co-occurrence and semantic analyses underline the centrality of ‘authorship’, ‘ethics’, and ‘accountability’ in AI discourse. Structural similarity measures further reveal alignment among Wiley, Elsevier, and Taylor & Francis, with Springer as a clear outlier. Our results point to an unsettled regulatory landscape where policies serve not only as instruments of governance but also as performative assertions of institutional identity and legitimacy. Consequently, the fragmented field of PG highlights the need for harmonized, inclusive, and enforceable frameworks that recognize both the potential and risks of AI in scholarly communication.

Open Access: Yes

DOI: 10.1093/reseval/rvag004

A Simulation-Optimization Framework for Road Maintenance Scheduling with Adaptive Agent Behavior

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2026-01-01

Volume: 1768 LNNS

Issue: Unknown

Page Range: 173-189

Description:

Recently, with an increasing number of people traveling by car, there has been a growing demand for effective traffic management, reduced travel times, and improved road and street maintenance plans. Here, it is evident that drivers make a well-informed decision on which route to take by utilizing smartphone routing, traffic announcements, and advancements in navigation technology. In the present study, the authors aim to develop a road maintenance plan that incorporates a bi-level optimization and simulation framework. They focus on the upper level by optimizing the road maintenance plan; at a lower level, intelligent agents acting as savvy passengers seek to minimize driving time and wait times in traffic. To evaluate the intelligent behavior of agents in reducing travel time on blocked routes (due to road repairs) under various scenarios, the authors first calculate the agents’ behavior in finding the optimal travel demand route and then integrate the optimization of the road maintenance plan. The results of this study demonstrated the effectiveness of informing passenger agents and their intelligence in correcting routes and reducing travel time.

Open Access: Yes

DOI: 10.1007/978-3-032-13898-9_20