Guidance For Management Research Articles

ESG factors affecting the asset sustainability of infrastructure REITs in China

PurposeEnvironmental, social and governance (ESG) can enhance the sustainable value and profitability of assets by improving environmental responsibility, social benefits and governance quality. However, there is a lack of research on the ESG aspects of the asset sustainability of infrastructure Real Estate Investment Trusts (REITs), particularly in terms of how ESG affects asset sustainability and their intrinsic relationships. Therefore, this study aims to explore the ESG factors affecting the asset sustainability of infrastructure REITs and their intrinsic linkages, in order to enhance the long-term sustainability of the asset.Design/methodology/approachThe study employed structural equation modeling (SEM) to analyze the relationship between ESG factors and the sustainability of infrastructure REITs, through a comprehensive literature review and questionnaire survey to collect data. This method aims to provide a quantitative analysis framework to assess the impact strength and interactions of these factors.FindingsThe 11 ESG factors positively influence the sustainability of infrastructure assets. Specifically, carbon emission management, information disclosure and infrastructure asset management have the most substantial impacts, with path coefficients of 0.830, 0.814 and 0.817, respectively. Measures such as optimizing resource use, enhancing transparency and improving operational efficiency contribute to increased asset sustainability. Also, interviews indicate that asset managers and corporate executives with overseas educational backgrounds play a crucial role in the ESG management of infrastructure assets. Sustainability can be enhanced by promoting sustainable technologies and enhancing cross-cultural communication.Practical implicationsThe results offer guidance for infrastructure REIT managers and policymakers, emphasizing the importance of strengthening specific ESG practices to enhance sustainability. This provides an empirical basis for optimizing ESG policies and practices, helping to advance infrastructure REITs towards more sustainable development directions.Originality/valueThis study offers new insights into the field of ESG for infrastructure REITs in China by providing specific analysis of ESG factors and applying SEM. The originality of this study lies in its deep exploration of the specific impact factors within the ESG dimensions and quantifying their relationship with sustainability, offering strong scientific support for the sustainable development practices of infrastructure REIT.

A PRISMA‐Based Systematic Review on Economic, Social, and Governance Practices: Insights and Research Agenda

ABSTRACTThe article synthesizes existing research on economic, social, and governance (ESG) practices and explores their impact on corporate sustainability and financial outcomes. A systematic literature review (SLR) followed PRISMA guidelines, analyzing 85 peer‐reviewed articles from high‐quality journals indexed in Scopus. The results reveal that robust governance mechanisms—such as board diversity, strategic integration of ESG criteria, and effective risk management—are key drivers of enhanced ESG performance and corporate profitability. However, the findings also highlight significant gaps in current knowledge, particularly regarding emerging concepts like green innovation, ESG controversies, and digital transformation. The study concludes that further research is needed to develop a more nuanced understanding of how different governance structures and ESG practices interact and to provide clearer guidance for policymakers and corporate managers in fostering sustainable business practices.

A Literature Review of the Educational Gaps and Needs in Migraine Management: An Asian Perspective Within a Global Context.

Migraine is a common neurological disorder that presents considerable challenges to healthcare systems worldwide. These changes are especially relevant in rapidly developing regions such as Asia, with an increasingly productive population and ongoing advancements in healthcare systems and infrastructure. Despite its substantial impact, migraine management remains inadequate, potentially due to deficiencies in medical education. We hypothesized that significant gaps in basic and advanced medical training and continuing professional education contribute to the suboptimal management of migraine in various healthcare settings across Asia. A comprehensive literature review was conducted using PubMed and Google databases. The search focused on cross-sectional studies published in English from inception until September 2024 that examined educational needs among medical trainees and clinicians and clinical gaps in migraine management in Asia. These studies were then contextualized within a global perspective. The review identified significant shortcomings in migraine education at all levels of educational training in Asia, which also translated to poor management of migraines in clinical practice. Undergraduate medical curricula in Asia inadequately address headache disorders, while postgraduate training programs provide insufficient guidance in headache management, especially for complex cases. Primary care clinicians exhibited variable levels of understanding and frequently incorrectly diagnosed and managed migraine.Additionally, many Asian countries lack standardized clinical practice guidelines (CPGs) and specialized training programs for headache management. A multidimensional approach is required to tackle the pre-existing educational and clinical practice limitations. The approach should include improving the medical school curriculum, providing focused continuing medical education programs or developing migraine modules for primary care physicians (PCPs), and developing region-specific CPGs. Besides educational initiatives, integrating and coordinating systems of care, where primary and specialist services complement each other, are crucial for improving patient care. Robust education combined with comprehensive referral and linkage protocols ensures continuity of care across healthcare levels. Moreover, collaboration, communication, and cooperation among healthcare providers (HCPs) and organizations are vital to enhancing the quality of life and productivity of migraine patients in the region.A synergistic approach that combines robust collaboration with innovative educational delivery can catalyze the widespread adoption of evidence-based medicine (EBM).

Measuring Collision Risk in Mixed Traffic Flow Under the Car-Following and Lane-Changing Behavior

This study proposes a risk measurement approach to assess collision risks in mixed traffic flow, focusing on the integrated behavior of car-following and lane-changing. A new surrogate safety measure (SSM), denoted as Rtotal, is developed to provide a comprehensive risk assessment. Numerical analysis is used to determine the weights of parameters within Rtotal, and its validity is substantiated using an empirical dataset, with a risk threshold of 0.49 established when the time to collision (TTC) is set to 2 s. The study incorporates scenarios of connected and automated vehicle (CAV) degradation and evaluates the influence of penetration rates, perception–reaction time (PRT), and lane-changing modes on risk levels. Simulation results reveal that a CAV penetration rate between 0.4 and 0.6 represents a critical range where collision risks significantly increase, reflecting safety dynamics under CAV degradation. Furthermore, in scenarios involving lane-changing, the degradation of the following vehicle in the target lane poses the highest risk. At lower PRTs, the penetration rate exerts a more significant influence on collision risks. Rtotal has been validated across various scenarios, showing strong applicability and more sensitive trends than other SSMs, making it well-suited for assessing long-term comprehensive traffic flow risks. These findings offer practical guidance for traffic management to establish real-time risk prediction and warning systems for identifying high-risk car-following and lane-changing behaviors. Future research can explore the applicability of the proposed risk index in more complex traffic scenarios and its effectiveness across different levels of vehicle automation and connectivity.

Decadal Morphological Evolution and Governance Measures of the South Branch, Changjiang Estuary

Estuaries and deltas hold significant socioeconomic importance and immense ecological value due to their dynamic geomorphic processes and unique geographical advantages. However, in recent decades, delta recession and the instability of river regimes have become global challenges, driven by intensive human interventions in upstream river basins and local regions. This study examines the South Branch of the Changjiang Estuary as a typical case to investigate its morphological evolution over the past decades and project future trends, offering suitable solutions to enhance the river regime stability. Analysis of bathymetric data reveals substantial channel–shoal adjustments in the South Branch from 1958 to 2016, characterized by significant erosion and deposition on a decadal scale. After 1997, reduced fluvial sediment supply has led to widespread erosion in the South Branch. Further disturbances at the Baimao Shoal and Biandan Shoal have exacerbated the instability of the river regime. Numerical predictions indicate continued erosion in the South Branch over the next 20 years, accompanied by further channel–shoal pattern adjustments. Hydrodynamic modeling of proposed measures demonstrates an improved flow ratio for the North Baimao Shoal Channel, contributing to enhanced channel–shoal system stability. These integrated governance measures have been incorporated into the latest renovation plan for the Changjiang Estuary. The findings provide valuable scientific guidance for the comprehensive management of the Changjiang Estuary and offer insights applicable to other large estuaries facing similar challenges.

AI Chatbot, Human, and In‐Between: Examining the Broader Spectrum of Technology‐Human Interactions in Driving Customer‐Brand Relationships Across Experience and Credence Services

ABSTRACTAdvancements in artificial intelligence (AI) have driven companies to incorporate AI chatbots into service encounters. However, research exploring how to balance human and AI interactions in service encounters for brand‐building strategies remains limited. Grounded in social response theory and the attachment‐aversion model of consumer‐brand relationships, this study examines the effect of different service chat agent types (substitution chatbot, augmentation chatbot, and human chat agent) on brand usage intention, with brand‐self distance and consumer brand engagement as mediating mechanisms. Service types (experience vs. credence service) act as boundary conditions moderating the relationship between service chat agents and brand‐self distance. Through two experiments involving actual interactions with three types of service chat agents, the results show that substitution chatbots negatively influence consumers' perceived brand‐self distance, engagement, and usage intention across both service types. For experience services, augmentation chatbots lead to a closer brand‐self distance than human chat agents, enhancing consumer brand engagement and brand usage intention. While for credence services, augmentation chatbots perform comparably to human chat agents. The results offer guidance for service managers and policymakers on optimizing the balance between human and technological inputs to enhance customer‐brand relationships.

Orchestrating Digital Resilience: A Clinical IS Study of an Everything-as-a-Service Technology Strategy

ABSTRACT Organisations must build digital resilience to effectively safeguard their business operations against environmental, economic, or socio-political disruptions. One approach involves adaptation – using Information Technology (IT) to design business operations that can withstand and recover from such disruptions. A second approach involves mitigation – using IT to advance environmental, social, or economic objectives that reduce the root causes and likelihood of future disruptions. However, both approaches to building digital resilience are challenging to implement. Our clinical Information Systems (IS) research article examines and reflects on how Beta Bank, an Australian fintech firm, developed an Everything-as-a-Service (EaaS) technology strategy and achieved digital resilience throughout its business operations. We explain how Beta Bank strategically leveraged EaaS to adapt to the significant disruptions caused by the Australian wildfire disaster and the global COVID pandemic of 2019–2021. We then unpack how Beta Bank further leveraged EaaS to enhance its digital resilience via a mitigation approach. Our work delineates a typology of four EaaS pathways for pursuing digital resilience, discusses the scholarly implications of EaaS as a future IS research area, and provides actionable managerial guidance through an EaaS roadmap, a strategic planning tool for those aiming to implement and benefit from this technology strategy.

Robust design heuristics for product costing systems: a replication and extension using an ABC cost hierarchy

AbstractAccurately reported product costs are essential for many managerial decisions, such as product and resource planning, pricing, product mix decisions, and cost management. Balakrishnan et al. (Manag Sci 57(3):520–541, 2011) offered valuable managerial guidance on how costing system design heuristics affect the accuracy of reported product costs. This paper tests the internal and external validity of their numerical experiments and recommendations. Our replication results show that we are able to reproduce most of the findings, thereby confirming the results’ internal validity. To test external validity and assess the robustness of their findings, we modify a key model element by implementing a resource consumption pattern that follows a four-tier Activity-Based Costing (ABC) cost hierarchy, with which we repeat the numerical experiments. Although the design heuristics are mostly robust in this modified environment, the benefits of improving the costing system design are less straightforward and less linear. For instance, single plant-wide cost drivers outperform more information-demanding costing systems with few (2–4) cost pools. Consequently, given a four-tier ABC cost hierarchy, refining the costing system incrementally can reduce accuracy, leaving costing system designers stuck in the middle. Overall, our study supports Balakrishnan et al. (2011) results’ robustness but also identifies reasons why firms may still use simple costing systems.

How to Mitigate Risk in the Treatment of Patients with Borderline Personality Disorder.

Clinicians treating patients with borderline personality disorder (BPD) experience concerns about risk for adverse events that can lead to litigation or complaints to administrative boards. This paper's goal is to outline steps to ensure the safety of both the patient and clinician. Review of available data confirms that psychiatry is a subspeciality with relatively low risk for malpractice litigation, but high risk for complaints to administrative agencies. Examination of litigation and complaints suggests that familiar challenges in work with patients with BPD are frequently cited. Risk management considerations have been impacted in recent years by changes in psychiatric training, health care delivery, and regulations about patient information transparency. Concurrently, empirically validated treatments for BPD have been refined and disseminated. Clinicians can address safety concerns by adapting established risk management guidance with an appreciation of key elements of BPD.

Pre-hospital management of penetrating neck injuries: derivation of an algorithm through a National Modified Delphi

BackgroundTimely and effective pre-hospital management of penetrating neck injuries (PNI) is critical to improve patient outcomes. Pre-hospital interventions in patients with PNI can be especially challenging due to the anatomical injury site coupled with a resource-limited environment. Nationally, in the United Kingdom, no consensus statement or expert agreed guidance exists on how to best manage PNI in the pre-hospital setting.MethodWe conducted a national modified e-Delphi study with subject matter experts (SMEs) from multiple professional specialities with experience in the management of PNI. Pre-identified SMEs were contacted and consented prior to participation allowing for a remotely conducted Delphi using REDCap and Microsoft Teams. In Round 1, statements drawn from the literature base were distributed to all SMEs. Round 2 comprised a facilitated and structured discussion of the statements and then an online survey provided final ratification in Round 3. Of the participating SMEs consensus was set a priori at 70%.ResultsOf the 67 pre-identified SMEs, 28 participated, resulting in a response rate of 42%. From the first two rounds, 19 statements were derived with every statement achieving consensus in Round 3. Subsequently, an algorithm for the pre-hospital management of PNI was developed and agreed with SME consensus.ConclusionCuration of national consensus statements from SMEs aims to provide principles and guidance for PNI management in a complicated patient group where pre-hospital evidence is lacking. Multi-professional national consensus on the best approach to manage these injuries alongside a novel PNI management algorithm aims to optimise time critical care and by extension improve patient outcomes.

Effects of Different Spatial Distributions of Vegetation on the Hydraulic Characteristics of Overland Flow

ABSTRACTVegetation plays a crucial role in mitigating and controlling soil erosion caused by overland flow. However, variations in the hydraulic characteristics of overland flow induced by the spatial distribution of vegetation with different row and column spacings are often overlooked in existing literature, potentially leading to significant deviations in predicting these characteristics. In this study, 180 lab‐scale runoff tests were conducted to clarify the hydraulic characteristics of overland flow considering six α (the ratio of the lateral distance of vegetation to stem diameter) levels, six β (the ratio of the slope distance of vegetation to stem diameter) levels, and three slope angles (θ) under five flow discharges (Q) conditions. The results show that the observed flow regime of overland flow belongs to the transition flow regions, shifting from slow to rapid as α and/or β increase. The friction coefficient and the proportion of frictional resistance in the total flow resistance increase with increasing α and β. The local resistance dominates the total flow resistance of bare glass slopes. The local resistance coefficient ξ decreases with increasing α and β, however, it initially increases and then decreases with increasing θ. The impact of β on the local resistance is greater for gentle slopes, whereas the impact of α is more significant for steep slopes. ξ exhibits a negative correlation with Re and the ξ‐Re curves gradually level off as α or β increases, while they become steeper with increasing θ. A prediction model for the total flow resistance was established taking into account the combined effects of Re, α, β and θ, which provides better prediction performance than two other relevant models. The results obtained from this study provide valuable insights into the hydraulic characteristics of overland flow and offer clear guidance for vegetation management in controlling soil erosion on slopes with heterogeneous vegetation coverage.

The precise implementation of the ecological water transfer project effectively promotes the enhancement of desert riparian ecosystem service value in the mainstream of Tarim River

Ecosystem service value (ESV), as a crucial indicator concerning human and regional ecological well-being, has always been a hot topic in academia. Selecting appropriate assessment factors for arid areas to comprehensively explore the spatial–temporal heterogeneity of ESV and proposing pathways for ESV enhancement are currently challenging in research. This study incorporates three driving indicators, namely, human disturbance intensity (HDI), vegetation growth status (NIRv), and hydrological wetness condition (TVDI), into ESV calculation, efficiently improving the pixel-scale spatial heterogeneity manifestation of ESV. The study was conducted in a representative desert region of the Tarim River Basin (TRB), where ecological water transfer has effectively facilitated vegetation restoration. Based on this analysis, the total ESV in the TRB grew by 12.73 % between 2000 and 2022. Among them, ESVHDI, ESVNIRv, and ESVTVDI increased by 4.10 %, 58.25 %, and 18.78 % respectively. ESV in the four source rivers and mainstream of TRB increased by 4.36 % (YR), 60.77 % (TR), 2.94 % (AR), 3.88 % (HR), and 2.11 % (KR), with the ESV enhancement areas highly coinciding (coincidence degree is as high as 60.64 % of the mainstream of TRB) with the Populus euphratica forest water transfer area. ESV in the ecological water transfer area increased by 51.27 %, especially in the mainstream of the TRB water transfer area, where ESV increased by 62.32 %. Based on the perspectives of water use benefit (ESV/ET) and efficiency (ET/NIRv), to improve the ecological water use efficiency and ESV even further, the water supply thresholds of forests, grasslands, and wetlands should be controlled within the ranges of [495.37 mm-553.45 mm], [474.25 mm-528 mm], and [1011.68 mm-1070.64 mm], respectively. This study not only provides new insights for ESV calculation in arid areas but also offers scientific guidance for precise management of arid ecosystem.

SHAP-Instance Weighted and Anchor Explainable AI: Enhancing XGBoost for Financial Fraud Detection

This research aims to enhance financial fraud detection by integrating SHAP-Instance Weighting and Anchor Explainable AI with XGBoost, addressing challenges of class imbalance and model interpretability. The study extends SHAP values beyond feature importance to instance weighting, assigning higher weights to more influential instances. This focuses model learning on critical samples. It combines this with Anchor Explainable AI to generate interpretable if-then rules explaining model decisions. The approach is applied to a dataset of financial statements from the listed companies on the Stock Exchange of Thailand. The method significantly improves fraud detection performance, achieving perfect recall for fraudulent instances and substantial gains in accuracy while maintaining high precision. It effectively differentiates between non-fraudulent, fraudulent, and grey area cases. The generated rules provide transparent insights into model decisions, offering nuanced guidance for risk management and compliance. This research introduces instance weighting based on SHAP values as a novel concept in financial fraud detection. By simultaneously addressing class imbalance and interpretability, the integrated approach outperforms traditional methods and sets a new standard in the field. It provides a robust, explainable solution that reduces false positives and increases trust in fraud detection models. Doi: 10.28991/ESJ-2024-08-06-016 Full Text: PDF

Optimization of ventilation and dust removal parameters in plateau extra-long tunnel inclined shaft based on orthogonal numerical simulation test method

Ventilation and dust removal system in the inclined shaft of the plateau long tunnel is an important component for ensuring safe excavation. The arrangement of wind tube and the volume of air flow have a significant impact on the movement of dust. In order to address the issues of poor ventilation and severe dust pollution in the inclined shaft of plateau long tunnels, this study establishes a dust generation and transportation model for the face of the inclined shaft based on the determination of dust source parameters and their physicochemical characteristics during the excavation process. The results indicate that the particles are predominantly spherical with an approximate diameter of 4 μm at a magnification of 500 times. The dust in high-altitude inclined shafts exhibits poor wettability, with a hydrophobic tendency during the excavation phase, making a ventilation dust removal scheme appropriate. After determining the physical parameters corresponding to the elevation of the inclined shaft, a series of orthogonal numerical simulations involving 3 factors at 5 levels were conducted. Analysis of range and variance revealed that optimal dust control is achieved when the air duct height is 5.725m, the distance from the working face is 21m, and the exit wind speed is 29.71m/s. Comparative analysis confirmed the rationality of the ventilation dust removal scheme under the optimal combination of ventilation parameters. This provides guidance for engineering and environmental management in similar construction scenarios.

Birds of a Feather Flock Together: The Impact of Top Management Team Faultlines on Environmental, Social, and Governance Performance

ABSTRACTWhile theory and research indicate that top management team (TMT) attributes play a crucial role in shaping responsible practices, how and when TMT faultlines affect environmental, social, and governance (ESG) performance remains an open question. This study aims to fill this research gap by integrating social categorization theory with the faultline literature. Using a sample of Chinese listed firms over a 12‐year period, our findings indicate that TMT faultlines can significantly inhibit ESG performance, and managerial myopia is the primary channel through which the negative effect operates. In addition, our study reveals that negative attainment discrepancy significantly amplifies the inhibitory effect of TMT faultlines on ESG performance. Intriguingly, this inhibitory effect is mitigated in firms with strong Confucian culture. Our study also reveals variations in the impact of TMT faultlines on ESG performance concerning the type of faultlines and the level of industry competition. These findings not only contribute to the literature on TMT faultlines and upper echelons but also provide valuable guidance for managers in adeptly navigating the dynamics of TMT composition.

From Theory to Practice: Leveraging Digital Twin Technologies and Supply Chain Disruption Mitigation Strategies for Enhanced Supply Chain Resilience with Strategic Fit in Focus

AbstractSupply chain resilience (SCR) has been a topic of enormous interest among researchers for almost two decades. Still, there’s been limited focus on the impact of digital twin (DT) technologies and supply chain disruption mitigation (SCDM) strategies on SCR. This study addresses this gap by examining how DT and SCDM strategies enhance SCR and whether strategic fit (SF) moderates these relationships. Using the dynamic capability view (DCV) as the theoretical foundation, we developed our conceptual framework and research hypotheses. Data were collected from 200 Bangladeshi manufacturing organizations through a survey-based approach, and the partial least square (PLS) technique was utilized to assess the framework and research hypotheses. The findings reveal that both DT technologies and SCDM strategies significantly boost SCR. Besides, while SF plays a critical moderating role in the relationship between DT and SCR, it does not moderate the association between SCDM strategies and SCR. This study contributes to the theoretical understanding of SCR by integrating DT and SCDM strategies within the DCV framework, offering insights into their roles in managing supply chain disruptions. Additionally, it provides practical guidance for managers on effectively leveraging DT and SCDM strategies to build resilient supply chains while emphasizing the importance of strategic alignment in optimizing digital interventions.

Data Security and Access Rights Management on Anime Content Management Information System

In the increasingly developing digital era, data security and access rights management have become crucial aspects in information systems, especially on platforms that manage specific content such as anime. The Anime Content Management Information System (SIPKA) requires a robust security mechanism to protect user data, content and access rights in order to prevent security threats such as unauthorized access, data theft and content manipulation. This study discusses various methods and technologies that can be applied to improve data security and access rights management in SIPKA. Through literature analysis and case studies, this research found that implementing data encryption, multifactor authentication, and role-based access rights management (RBAC) systems are effective strategies in maintaining data integrity and confidentiality. It is hoped that the results of this research can provide guidance for SIPKA developers and managers in implementing appropriate security policies and technology to ensure the security and operational continuity of the system.

Analysis of Transcriptional and Metabolic Differences in the Petal Color Change Response to High-Temperature Stress in Various Chrysanthemum Genotypes

Flower color is one of the most important ornamental traits of chrysanthemums. Previous studies have shown that high temperatures can cause the petals of some chrysanthemum varieties to fade; however, the molecular mechanisms behind this phenomenon remain poorly understood. This study examines the mechanisms of color change in purple chrysanthemums under high-temperature stress using combined metabolomic and transcriptomic analyses. Four chrysanthemum varieties—two heat-stable (‘Zi Feng Che’ and ‘Chrystal Regal’) and two heat-sensitive (‘Zi Hong Tuo Gui’ and ‘Zi Lian’)—were analyzed. High-temperature conditions (35 °C) significantly downregulated key anthocyanins in heat-sensitive varieties, particularly cyanidin-3-O-(3″,6″-O-dimalonyl)glucoside and pelargonidin-3-O-(3″,6″-O-dimalonyl)glucoside. Transcriptome analysis revealed differential gene expression involved in anthocyanin biosynthesis and degradation, with significant enrichment in the MAPK signaling, phenylpropanoid biosynthesis, flavonoid biosynthesis, and anthocyanin biosynthesis pathways. The study highlighted the differential expression of CHS, DFR, ANS, GT1, 3AT, and UGT75C1 genes in anthocyanin synthesis between heat-sensitive and heat-tolerant varieties. Compared to heat-stable varieties, the petals of heat-sensitive varieties exhibited greater differential expression of heat-responsive transcription factors, including HSFs, ERFs, MYBs, and WRKYs. Genes that show a significant negative correlation with the downregulated anthocyanins, including Cse_sc012959.1_g030.1 (βG), Cse_sc001798.1_g020.1 (MYB), Cse_sc006944.1_g010.1 (MYB), and Cse_sc000572.1_g090.1 (HSF), might regulate anthocyanin accumulation in chrysanthemums in response to high-temperature stress. These results provide guidance for the cultivation management and variety selection of chrysanthemums under high-temperature conditions. Additionally, they lay the foundation for elucidating the molecular mechanisms of flower color stability under heat stress and for breeding new heat-tolerant varieties.

A Study on the Antecedent Grouping Pattern of ESG Decoupling in New Energy Vehicle Manufacturing Companies

This study explores the decoupling phenomenon of listed companies in the new energy vehicle manufacturing category in terms of ESG (environmental, social, and corporate governance) by using fuzzy set qualitative comparative analysis (fsQCA) and necessity condition analysis (NCA) methods, and identifies four different groupings. These groupings reveal the complexity and diversity of firms' ESG performance and disclosure, including high gearing and low environmental commitment, high management compensation and low social responsibility, high media attention and selective disclosure, and high market competition and inadequate governance. The results of the study show that financial pressure, management incentives, media attention and market competition all significantly affect firms' ESG behavior. Based on this, policy and management recommendations are proposed, such as strengthening the regulation of ESG disclosure, incorporating ESG performance assessment in executive incentives, and balancing short-term financial goals with long-term sustainable development. Although this study reveals the complexity of ESG decoupling in new energy automobile manufacturing firms, the limitations of data source, sample scope and methodology still exist. Future research should expand the sample scope, conduct dynamic analysis, and synthesize multiple methods to deepen the understanding of corporate ESG decoupling behavior and provide scientific guidance for management and policy making.

Prediction Model and Knowledge Discovery for Roof Stress in Mined-Out Areas Integrating 3D Scanning Image Features

The accurate prediction of roof stress in mined-out areas is crucial for ensuring mine safety. However, existing study methods often overlook the increasingly available image data and fail to balance the model predictive capability with interpretability. To address these issues, this study innovatively integrates 3D laser scanning image features into the prediction of roof stress in mined-out areas. Image features are extracted using pre-trained deep-learning models and combined with traditional geological parameters to construct multiple machine-learning models for prediction. The experimental results demonstrate that models incorporating image features significantly outperform traditional models that rely solely on geological parameters in terms of prediction accuracy, interpretability, and complexity, revealing the critical role of image features in stress prediction. Furthermore, the use of SHapley Additive exPlanations (SHAP) to interpret the random forest model uncovers new domain knowledge, such as the relationship between spatial patterns and stress concentration. This study theoretically validates the effectiveness of image data and effectively balances the predictive capability and interpretability of the model, facilitating knowledge discovery in the field. On a practical level, it also provides guidance for mine safety management.