Publication

@article{hamdache_3631,

title = {Asymptotic behavior of thin ferroelectric models},

author = {Kamel Hamdache and Djamila Hamroun},

url = {www.elsevier.com/locate/nonrwa},

year  = {2025},

date = {2025-10-01},

journal = {Nonlinear Analysis-Real World Applications},

volume = {85},

number = {1},

pages = {104379},

abstract = {It was pointed out in Shaw et al. (2000) that the boundary conditions satisfied by the

polarization play an important role in the description of the thin-limit of ferroelectric materials.

In this work we confirm the importance of this choice. In the present work, we consider the

limiting process as the thickness ? of a thin cylinder of R3 goes to 0, and when the polarization

satisfies two different boundary conditions. The first type of boundary conditions leads to an in-

plane model or 2?? 2? configuration while the second one leads to an (in-plane)-(out-of-plane)

model for the displacement and the polarization namely a 2?? 3? configuration. Moreover, the

thin-limit process in both cases induces a change of the Lamé coefficients in the displacement

equation, the coupling coefficient between the displacement and polarization equations, the

double wells potential of the polarization together to a new contribution in the equation of the

out-of-plane component of the polarization for the 2?? 3? model. The techniques used rely on

a rescaling method that penalizes the out-of-plane variable. Uniform bounds with respect to ?

are established, compactness techniques are employed, and the limits of the penalized terms

are identified.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{makki_3409,

title = {Asymptotic behavior of the coupled Allen-Cahn/Cahn-Hilliard system with proliferation term},

author = {Ahmad Makki and RIM MHEICH and Madalina Petcu and Raafat Talhouk},

url = {https://doi.org/10.1016/j.jmaa.2025.129382},

year  = {2025},

date = {2025-08-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {548},

number = {1},

pages = {129382},

abstract = {In this article, we investigate the coupled Allen-Cahn/Cahn-Hilliard equations with

a proliferation term, which can model the growth of cancerous tumors and other

biological entities. We focus on establishing the existence, uniqueness, and regularity

of solutions, as well as analyzing their asymptotic behavior, with particular attention

to the existence of finite-dimensional attractors. The system is considered under

Dirichlet boundary conditions, and we introduce assumptions on the proliferation

term to ensure dissipativity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kumar_3606,

title = {AI capability and environmental sustainability performance: Moderating role of green knowledge management},

author = {Sachin Kumar and Vinod Kumar and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis},

url = {http://dx.doi.org/10.1016/j.techsoc.2025.102870},

year  = {2025},

date = {2025-06-01},

journal = {Technology In Society},

volume = {81},

pages = {102870},

abstract = {The capabilities of AI may not only foster green technology innovations but also enhance the environmental 

sustainability performance of organizations. Despite this, the interplay between AI capabilities, green technology 

innovations, and environmental sustainability performance largely remain unexplored in view of green knowledge management. The present study aims to fill this gap by examining the impact of AI capabilities on green 

technology innovations and ultimately on environmental sustainability performance. This study also examines 

how green technology innovations mediates between AI capabilities and environmental sustainability performance, and how green knowledge management moderates the relationships between AI capabilities and green 

technology innovations and between AI capabilities and environmental sustainability performance. To validate 

the proposed conceptual relationships, data were collected from IT companies of Pune, India from 237 respondents, and they were validated with PLS-SEM 3.0 software. The results of the present study contribute 

theoretically to the resources-based view, knowledge-based view, dynamic capability, and absorptive capacity 

theories. Moreover, this study has also contributed practically by revealing the potential of AI capabilities and 

green technology innovations to enhance environmental sustainability performance through green knowledge 

management. The insights of the study could also help managers to leverage the AI capabilities to enhance green 

technology innovations and to improve environmental sustainability performance of organizations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{peng_3611,

title = {CGCN-FMF:1D convolutional neural network based feature fusion and multi graph fusion for semi-supervised learning},

author = {Guowe Peng and Fadi Dornaika and Jinan Charafeddine},

url = {http://dx.doi.org/10.1016/j.eswa.2025.127194},

year  = {2025},

date = {2025-06-01},

journal = {Expert Systems With Applications},

volume = {277},

pages = {127194},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{benkraiem_2959,

title = {Access to finance and corporate tax avoidance: International evidence},

author = {Ramzi Benkraiem and Safa Gaaya and Faten Lakhal and Merve Kilic},

url = {https://www.sciencedirect.com/science/article/pii/S1061951824000740},

year  = {2025},

date = {2025-06-01},

journal = {Journal of International Accounting, Auditing and Taxation},

volume = {58},

pages = {100668},

abstract = {This paper investigates the relationship between access to finance and corporate tax avoidance. Using a sample of 63,443 firm-year observations from 37 countries, the results reveal that firms suffering from limited access to finance are more inclined to engage in tax avoidance practices. The results also show that increased levels of financial constraints are positively associated with tax avoidance for firms operating in countries with high economic and policy uncertainty and high government debt level. Further evidence shows that the difficulty to access finance increases tax avoidance in countries with weak investor protection. Our results are robust after addressing endogeneity concern and using different measures of financial constraints, tax avoidance, and countries' institutional environments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dornaika_3401,

title = {Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks},

author = {Fadi Dornaika and Jinan Charafeddine and Huaiyuan Xiao and Jingjun Bi},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0893608025000978?via%3Dihub},

year  = {2025},

date = {2025-05-01},

journal = {Neural Networks},

volume = {185},

pages = {107218},

abstract = {Semi-supervised learning with a graph-based approach has become increasingly popular in machine learning, particularly when dealing with situations where labeling data is a costly process. Graph Convolution Networks (GCNs) have been widely employed in semi-supervised learning, primarily on graph-structured data like citations and social networks. However, there exists a significant gap in applying these methods to non-graph multi-view data, such as collections of images. To bridge this gap, we introduce a novel deep semi-supervised multi-view classification model tailored specifically for non-graph data. This model independently reconstructs individual graphs using a powerful semi-supervised approach and subsequently merges them adaptively into a unified consensus graph. The consensus graph feeds into a unified GCN framework incorporating a label smoothing constraint.

To assess the efficacy of the proposed model, experiments were conducted across seven multi-view image datasets. Results demonstrate that this model excels in both the graph generation and semi-supervised classification phases, consistently outperforming classical GCNs and other existing semi-supervised multi-view classification approaches. 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{belot_3017,

title = {Government awards to CEOs},

author = {François Belot and Timothée Waxin},

url = {https://onlinelibrary.wiley.com/doi/full/10.1111/jbfa.12813},

year  = {2025},

date = {2025-05-01},

journal = {Journal Of Business Finance & Accounting},

volume = {52},

number = {1},

pages = {472-510},

abstract = {This paper investigates the value and corporate governance consequences of government awards for a sample of French CEOs appointed to the national Order of the Legion of Honor (Légion d'honneur). Short-term market reactions surrounding award announcements are significantly positive, whereas the valuation of firms with awarded CEOs is greater than that of (matched) firms with nonawarded CEOs. We explore the channels through which government awards create value and find evidence that they provide awarded CEOs and their firms with increased political access. We also observe that government awards are associated with better corporate governance in that awarded CEOs are more likely to be fired for poor performance. The negative effects that have been documented for media awards and are associated with CEOs' superstar status do not seem to apply to state awards.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sarang_3551,

title = {Does a co?opted director affect a firm's financial distress risk?},

author = {Aitzaz Ahsan Alias Sarang and Asad Ali Rind and Riadh Manita and Asif SAEED},

url = {https://onlinelibrary.wiley.com/doi/10.1002/ijfe.2959},

year  = {2025},

date = {2025-04-01},

journal = {International Journal Of Finance & Economics},

abstract = {This study examines the relationship between co-opted directors (CODIR),

measured as the fraction of directors appointed after the Chief Executive Officer

(CEO) assumes office to board size, and firms' financial distress risk

(FFDR). Understanding the relationship between CODIR and FFDR is imperative

due to the significant impact of high risk-taking on financial crises and the

heightened expectations placed on board members for risk oversight. Despite

growing research on corporate governance and FFDR, little attention has been

paid to the role of CODIRs, presenting a significant gap in the literature. Using

a US sample from 1996 to 2019, covering 13,486 firm-year observations, we

document that CODIR reduces FFDR, supporting the hypothesis that co-opted

directors have a lower financial distress risk-taking propensity than their nonco-

opted counterparts. We also find that a critical mass of at least three

CODIRs and independent CODIRs reduces FFDR. Our results also document

that CEO power in the form of CEO duality and CEO tenure, external monitoring

in the form of the number of analysts following the firm, competition, and

takeover susceptibility do not drive our main conclusions for co-option and

FFDR. Finally, the results show that CODIR reduces FFDR through liquidity

channels. The findings remain robust to various definitions of co-option and

distress risk, and are consistent in both difference-in-differences analysis and propensity score matching.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{sebban_3516,

title = {Improving visual perception through technology: a comparative analysis of real-time visual aid systems},

author = {Othmane Sebban and Ahmed Azough and Mohamed Lamrini},

url = {https://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/view/26455},

year  = {2025},

date = {2025-04-01},

journal = {TELKOMNIKA Telecommunication, Computing, Electronics and Control},

volume = {23},

number = {2},

pages = {349-370},

abstract = {Visually impaired individuals continue to face barriers in accessing reading and listening resources. To address these challenges, we present a comparative analysis of cutting-edge technological solutions designed to assist people with visual impairments by providing relevant feedback and effective support. Our study examines various models leveraging InceptionV3 and V4 architectures, long short-term memory (LSTM) and gated recurrent unit (GRU) decoders, and datasets such as Microsoft Common Objects in Context (MSCOCO) 2017. Additionally, we explore the integration of optical character recognition (OCR), translation tools, and image detection techniques, including scale-invariant feature transform (SIFT), speeded-up robust features (SURF), oriented FAST and rotated BRIEF (ORB), and binary robust invariant scalable keypoints (BRISK). Through this analysis, we highlight the advancements and potential of assistive technologies. To assess these solutions, we have implemented a rigorous benchmarking framework evaluating accuracy, usability, response time, robustness, and generalizability. Furthermore, we investigate mobile integration strategies for real-time practical applications. As part of this effort, we have developed a mobile application incorporating features such as automatic captioning, OCR based text recognition, translation, and text-to-audio conversion, enhancing the daily experiences of visually impaired users. Our research focuses on system efficiency, user accessibility, and potential improvements, paving the way for future innovations in assistive technology.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{askenazy_3447,

title = {Employment strategies in response to the first Covid lockdown: A typology of French workplaces},

author = {Philippe Askenazy and Clément Brébion and Pierre COURTIOUX and Christine Erhel and Malo Mofakhami},

url = {https://onlinelibrary.wiley.com/doi/full/10.1111/irel.12362},

year  = {2025},

date = {2025-04-01},

journal = {Industrial Relations},

volume = {64},

number = {2},

pages = {168-199},

abstract = {This research connects the literature on crisis management and on firm flexibility to investigate human resource (HR) strategies in response to unexpected crises such as the Covid-19 pandemic. Leveraging data from French workplaces we identify five main types of strategies implemented during the first lockdown, which go beyond the massive use of teleworking or the use of short-time work. The analysis demonstrates that a combination of preexisting HR practices (teleworking agreements, wage levels, risk exposure, and health and safety committees) and public policies (short-time programs, legislation on short-time contracts, and temps) influences which of these five strategies firms adopt.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhu_3394,

title = {CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images},

author = {Ni ZHU and Ruiwen He and Zhiqiang Wang},

url = {https://www.sciencedirect.com/science/article/pii/S0952197625001605?via%3Dihub},

year  = {2025},

date = {2025-04-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {145},

pages = {110160},

abstract = {Urban environments present significant challenges to commercial Global Navigation Satellite Systems (GNSS) receivers due to degraded satellite visibility and Non-line-of-sight (NLOS) receptions. Mitigating NLOS receptions for GNSS is essential, especially for safety-critical and reliability-critical location-based applications. Traditional physical error channel propagation modeling encountered bottlenecks since the NLOS and multipath errors cannot be modeled accurately in complex urban environments. Data-driven methods show significant potential for effectively classifying GNSS Line-of-sight (LOS) and NLOS. This paper proposes the CarNet - a generative Convolutional Neural Network (CNN)-based GNSS LOS/NLOS classifier by transforming multivariate time-series data into images. CarNet comprises two modules: an image generator and an image classifier. The image generator enriches and augments the original 1-dimension feature vector into 2-dimension feature maps and the image classifier uses an inception-based CNN to realize multi-scale feature extraction and classification. The proposed architecture is trained and tested on more than 6 h of real vehicle data collected in different challenging environments (about 1.6 million samples). A thorough benchmark is conducted, comparing CarNet against the existing mainstream Artificial Intelligence (AI) methods. The results with cross-validation on unseen data indicate that CarNet achieves the highest accuracy, i.e., 81.47% while maintaining the optimal balance between precision for both classes: 83.3% for LOS and 70.99% for NLOS. Finally, positioning accuracy is assessed using a reweighting strategy based on the LOS/NLOS information predicted by CarNet. The assessment of total datasets shows that CarNet weighting can achieve the best accuracy compared to the traditional weighting schemes based on signal-to-noise ratio or satellite elevation. CarNet shows strong potential for embedding into GNSS receivers to enhance positioning accuracy in complex urban environments, benefiting a wide range of location-based applications such as autonomous driving, emergency response, and urban logistics.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{molinet_3314,

title = {Global solutions for the one-dimensional Boussinesq-Peregrine system under small bottom variation},

author = {Luc Molinet and Raafat Talhouk},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0022039625000129},

year  = {2025},

date = {2025-04-01},

journal = {Journal Of Differential Equations},

volume = {423},

pages = {550-596},

abstract = {The Boussinesq-Peregrine system is derived from the water waves system in presence of topographic variation under the hypothesis of shallowness and small amplitude regime. The system becomes significantly simpler (at least in the mathematical sens) under the hypothesis of small topographic variation. In this work we study the long time and global well-posedness of the Boussinesq-Peregrine system. We start by showing the intermediate time well-posedness in the case of general topography (i.e. the amplitude of the bottom graph ?=O(1)). The novelty resides in the functional setting, Hs(R), s>12. Then we show our main result establishing that the global existence result obtained in [14] in the flat bottom case is still valid for the Boussinesq-Peregrine system under the hypothesis of small amplitude bottom variation (i.e. ?=O(?)). More precisely we prove that this system is unconditionally globally well-posed in the Sobolev spaces of type Hs(R), s>12. Finally, we show the existence of a weak global solution in the Schonbek sense [18], i.e. existence of low regularity entropic solutions of the small bottom amplitude BoussinesqPelegrine equations emanating from u0?H1and ?0in an Orlicz class as weak limits of regular solutions.

©2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{appio_3652,

title = {International Evidence on the Financial Performance of Biodiversity Investing},

author = {Francesco Appio and Mohammed Benlemlih and Imane El Ouadghiri and Jonathan Peillex},

url = {http://dx.doi.org/10.1016/j.jenvman.2025.124640},

year  = {2025},

date = {2025-03-01},

journal = {Journal Of Environmental Management},

volume = {377},

number = {-},

pages = {124640},

abstract = {The biodiversity depletion caused by human activities stands out prominently. Companies are urged to actively reduce the adverse effects they pose to biodiversity. Against this backdrop, financial institutions have recently developed equity indices that track the financial performance of the top companies based on their biodiversity achievements. We examine the financial performance of 10 biodiversity stock indices in contrast to their parent indices from 2022 to 2024. Our findings reveal that investing in biodiversity financial solutions does not entail additional costs when compared to investing in conventional counterparts. This new evidence may bolster the confidence of green investors to consider expanding their investments in financial products that actively promote biodiversity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{moradi_3630,

title = {Optimized bioactive glass/PLA nanocomposites for bone tissue engineering: balancing mechanical strength and biodegradability},

author = {Razie Moradi and Majid Vaseghi and Majid Sohrabian and Hamidreza Vanaei},

url = {https://doi.org/10.1080/00914037.2025.2477164},

year  = {2025},

date = {2025-03-01},

journal = {International Journal Of Polymeric Materials And Polymeric Biomaterials},

volume = {1},

number = {1},

pages = {1-14},

abstract = {Bioactive glass (BG)/polylactic acid (PLA) nanocomposites have gained significant attention for bone repair applications due to their mechanical and biological properties. In this study, sol-gel-derived bioactive glass nanoparticles (nBG) with a mean diameter of 53.38?nm were surface-modified with (3-Aminopropyl) triethoxysilane (APTES) to ensure uniform dispersion within the PLA matrix. Composite materials containing 0, 2, 8, and 16?wt% of surface-modified bioactive glass nanoparticles (m-nBG) were synthesized using a solvent-evaporation method. The composites' mechanical properties (tensile and flexural), degradation rate, hydrophilicity, and cellular responses were evaluated. The addition of 2?wt% m-nBG significantly improved the mechanical performance, achieving a tensile strength of 37.14?MPa and a flexural strength of 72.2?MPa. However, increasing the filler content beyond this threshold resulted in agglomeration, leading to a reduction in mechanical strength, though the tensile modulus continued to rise with higher nanoparticle loading. Biodegradation tests showed that m-nBG fillers accelerated the degradation process, with higher filler concentrations further promoting matrix degradation and increasing water absorption. The 2?wt% m-nBG nanocomposite exhibited optimal cell viability, proliferation, and attachment, highlighting its potential for bone tissue engineering applications. These findings suggest that a balanced nanoparticle content enhances both mechanical integrity and biological activity in PLA-based composites.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chaudhary_3626,

title = {Exploring Family Values, Religion, and Ethical Behavior in Family Businesses: A Multi-Stage Qualitative Investigation},

author = {Sanjay Chaudhary and Amandeep Dhir and Duc Khuong Nguyen and Enrico Battisti and Puneet Kaur},

url = {https://link.springer.com/article/10.1007/s10551-025-05947-5},

year  = {2025},

date = {2025-03-01},

journal = {Journal Of Business Ethics},

abstract = {One key element distinguishing family firms from non-family firms is the role of the family's religious beliefs, with growing attention on understanding the fit between religion and family in shaping a business's ethical conduct. A family firm's behavior is embedded in an institutional context, and it is important to understand how multiple institutional logic shapes a

family firm's values and ethical behavior. While scholars agree on the central significance of family values and religion in shaping family firms' values and ethical behavior, a definitive consensus on the influence of family values and religion in confronting ethical challenges and shaping ethical behavior has yet to be reached. We lack a theory explaining how family,

family business, and religion shape a family firm's ethical conduct. We conducted a qualitative study to investigate the role

of family values and religion in shaping a family firm's ethical conduct. The results reveal four themes, namely (a) ethical

challenges faced by family firms, (b) family values shaping ethical behavior, (c) religion providing a rationale for family firms'

ethical decision-making, and (d) outcomes of ethical decision-making. The principal contribution of our study is clarifying

the role of multiple institutional logics in the form of religion and family in explaining ethical behavior. Our findings sugges that the fit between religion, family, and business as an institution guides decision-making, helps family businesses earn a positive reputation in the community by displaying ethical behavior, and develops a positive workplace climate.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{recuero_virto_3615,

title = {Digital Sustainability Trade-Offs: Public Perceptions of Mobile Radiation and Green Roofs},

author = {Laura Recuero Virto and Peter Saba and Arno Thielens and Marek Czerwinski and Paul Noumba Um},

url = {https://aisel.aisnet.org/cais/vol56/iss1/27/},

year  = {2025},

date = {2025-03-01},

journal = {Communications of the AIS},

volume = {56},

number = {1},

abstract = {This paper explores how public perceptions influence the interplay between Digital Sustainability (DS), public health, and environmental policy, particularly regarding the effects of mobile radiation on green roofs. While green roofs are recognized for their ecological advantages, the impact of mobile radiation exposure, especially from 5G technology, has not been thoroughly examined in Information Systems (IS) research. Through a Discrete Choice Experiment (DCE) involving an urban sample from the French population, our findings indicate a significant preference for funding research focused on human health compared to plant health, with willingness to pay (WTP) estimates for human health nearly twice as high. Nonetheless, the considerable support for plant health research underscores the importance of addressing both human and environmental aspects in policy formulation. This study contributes to the growing DS dialogue by demonstrating how cognitive, emotional, and moral perceptions shape public backing for research on mobile radiation. These findings enhance our understanding of how public attitudes influence the adoption and regulation of green technologies in urban environments. Our research provides insights for IS researchers and policymakers, advocating for balanced funding approaches and the integration of cognitive, emotional, and ethical factors into policy frameworks to foster effective public engagement and regulatory policies.},

keywords = {},

pubstate = {accepted},

tppubtype = {article}

}

@article{alkebsee_3596,

title = {The Governance Role of Independent Directors' Cash  Compensation in Suspect Firms? Evidence From Real  Earnings Management},

author = {Radwan Alkebsee and Ammar Ali Gull and Abdul Ghafoor},

url = {https://onlinelibrary.wiley.com/doi/10.1002/ijfe.3137},

year  = {2025},

date = {2025-03-01},

journal = {International Journal Of Finance & Economics},

abstract = {This study examines the relationship between independent directors' cash compensation and real earnings management. Using the data of Chinese suspect firms over the period 2009-2023, we show that independent directors' cash compensation helps suspect firms reduce the magnitude of real earnings management, suggesting that cash-based compensation to independent directors enhances board independence and the effectiveness of its monitoring role over real earnings management. Further analysis shows that this relationship is significantly influenced by the ownership structure. Specifically, we find that non-state and foreign ownership strengthen the negative association between independent directors' cash compensation and real earnings management, implying that these investors enhance the governance role of independent directors' cash compensation in monitoring the opportunistic behaviour of managers. Our main findings are robust to alternate proxies of earnings management, sample composition, and endogeneity concerns using several econometric techniques. The study contributes to the related literature by providing empirical evidence on the association between non-equity compensation for independent directors and real earnings management in suspect firms. Our study also offers significant implications for international investors, firms, and regulators, especially after the inclusion of Chinese stocks in the MSCI indices.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{slama_3614,

title = {Investing in a Cleaner Future: The Role of Institutional Investors in Corporate Waste Management},

author = {Afef Slama and Khaled Ghozzi and Faten Lakhal and Assil Guizani and Khaled Hussainey},

url = {https://onlinelibrary.wiley.com/doi/10.1002/bse.4222},

year  = {2025},

date = {2025-03-01},

journal = {Business Strategy And The Environment},

pages = {01-21},

abstract = {As environmental sustainability gains prominence, institutional investors are increasingly recognized for their influence on corporate environmental practices. Despite this growing interest, their impact on waste management and circular economy initiatives is yet to be explored. This study seeks to bridge this gap by examining how institutional investors' ownership and investment horizon affect corporate waste management in France, where companies face increasing regulatory pressure under the 2015 Energy Transition Law. Analyzing 1001 firm-year observations over 2011-2021 in France, the results reveal that long-term (short-term) institutional investors negatively (positively) affect waste generation. This suggests that long-term investors exert pressure on managers to prioritize waste reduction strategies, supporting the neo-institutional theory perspective. Further analysis shows that the effect of long-term institutional investors on waste generation has accentuated after the adoption of the French Law on the Energy Transition in 2015, especially for firms with high environmental performance and strong corporate governance and those operating in environmentally sensitive industries. These results offer actionable insights for policymakers, investors, and corporate managers seeking to promote sustainable waste management practices.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{shuwaikh_3389,

title = {Towards Net Zero Emissions: The Impact of Green Innovation, GHG and CSR on the Financial Success of U.S. Corporate Venture Capital Parents},

author = {Fatima Shuwaikh},

url = {https://www.iaee.org/en/publications/ejarticle.aspx?id=4212},

year  = {2025},

date = {2025-03-01},

journal = {Energy Journal},

volume = {Vol. 44},

number = {Suppl 1},

pages = {261-294},

abstract = {This paper analyzs the influence of green innovation and environmental perfor-

mance on the success of US corporate venture capital (CVC) parent firms. Fur-

thermore, it investigates the intermediary function of corporate social responsibil-

ity (CSR) in this relation. Our sample consists of CVC parent firms obtained from

multiple databases between 2002 to 2019. Our findings suggest that incorporating

sustainability into target company plans has the dual benefit of improving environ-

mental outcomes and boosting long-term financial performance for CVC parent

firms. We find that companies that have lower levels of greenhouse gas (GHG)

emissions demonstrate better financial success over the long term. Moreover, al-

locating resources to environmentally-friendly advancements results in positive

financial results in both the short and long term. Our findings have important sig-

nificance for policymakers and practitioners, providing guidance for the creation

of sustainable business strategies. By promoting innovation focused on sustain-

ability and decreasing GHG emissions, CVC parent firms may actively contribute

to a more sustainable future while also assuring long-term financial success.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shakir_3613,

title = {Empowering MIMO-FSO Systems: RIS Technology for Enhanced Performance in Challenging Conditions},

author = {Wafaa Shakir and Jinan Charafeddine},

url = {https://ieeexplore.ieee.org/document/10937202},

year  = {2025},

date = {2025-03-01},

volume = {28},

number = {6},

pages = {1 - 1},

abstract = {This paper presents a novel analytical framework to enhance the performance of reconfigurable intelligent surfaces (RIS)-integrated multiple-input-multiple-output (MIMO) free-space optical (FSO) communication systems. The study addresses critical challenges such as atmospheric turbulence, misalignment, and signal attenuation. It introduces a series-based approach to model the combined effects of Gamma-Gamma turbulence, generalized Rician pointing errors, and RIS size-related constraints. In contrast to previous studies, which often rely on oversimplified or idealized channel models, this framework provides closed-form expressions for the first time for the probability density function and cumulative distribution function of the end-to-end channel specifically designed for RIS-empowered (RIS-E) MIMO-FSO systems. These expressions capture the complex interactions between channel impairments and system parameters, enabling accurate performance evaluation in real-world deployments. The derived formulations provide key performance metrics, including outage probability, average bit error rate, ergodic capacity, data rate, and energy efficiency, for a variety of system configurations. Practical diversity combining techniques such as equal gain combining, maximal ratio combining, and selection combining are rigorously analyzed. In addition, asymptotic analyses at high signal-to-noise ratios offer simplified expressions that provide valuable insights into coding gain, diversity order, and system behavior under extreme conditions. A key contribution of this work is the investigation of the optimization of RIS placement, which improves signal alignment and reduces the outage probability, even under challenging atmospheric conditions. In addition, the study highlights the computational efficiency of the proposed framework through a detailed complexity analysis that confirms its feasibility for practical, large-scale applications. Monte Carlo simulations validate the theoretical findings, demonstrating strong agreement with the analytical results. These results confirm the transformative potential of RIS technology in mitigating turbulence-induced fading and misalignment. This research establishes RIS-E MIMO-FSO systems as a robust, energy-efficient solution for next-generation, high-bandwidth optical networks. Additionally, it provides practical deployment guidelines, ensuring the effective integration of RIS technology into real-world wireless communication infrastructures, thereby advancing the development of resilient and high-performance optical communication systems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{saeed_3498,

title = {CSR decoupling and financial fraud: Unveiling the hidden nexus in US-listed firms},

author = {Asif SAEED and Samreen Hamid and Riadh Manita and Phassawan Suntraruk},

url = {https://www.sciencedirect.com/science/article/pii/S0275531925000479},

year  = {2025},

date = {2025-03-01},

journal = {Research In International Business And Finance},

volume = {75},

pages = {102791},

abstract = {In an era marked by heightened transparency and growing social consciousness, many companies opt for symbolic Corporate Social Responsibility (CSR) communication rather than substantive action, giving rise to skepticism and a phenomenon known as 'CSR decoupling.' Moreover, revelations of financial fraud within ostensibly socially responsible firms exacerbate ethical concerns, raising doubts about their sincerity and regulatory oversight mechanisms. This study delves into US-listed firms to explore the nexus between CSR decoupling and financial fraud. Utilizing propensity score matching (PSM), the sample is meticulously drawn from 15,993 firm-year observations from US-listed firms. The research uncovers that firms engaged in CSR decoupling face elevated risks of financial misconduct. Additionally, deficient governance, subpar audit quality, and concentrated ownership structures amplify the likelihood of financial fraud. Our findings underscore the imperative for stakeholders and regulatory bodies to exercise discernment in scrutinizing CSR performance and disclosures, as managerial self-interests can skew CSR initiatives, misleading stakeholders.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_3501,

title = {Data envelopment analysis fixed cost allocation based on dynamic bargaining game and the Nash equilibrium},

author = {Junfei Chu and Yanhua Dong and Weijiao Wang and Yuting RUI and Zhe Yuan},

url = {http://dx.doi.org/10.1016/j.ejor.2025.03.009},

year  = {2025},

date = {2025-03-01},

journal = {European Journal Of Operational Research},

abstract = {Fixed cost allocation (FCA) poses a significant challenge for decision-making units (DMUs) contributing to a shared cost. Each DMU aims to allocate the minimum possible cost to itself. As a result, different DMUs hold varying and often conflicting allocation proposals and preferences, which prevents them from reaching a consensus on the FCA outcome. This paper develops a dynamic bargaining game-based fixed cost allocation (DBG-FCA) approach within the data envelopment analysis (DEA) framework to address this issue. The DBG-FCA approach employs an iterative process where each DMU proposes its preferred allocation during each iteration. All DMUs gradually converge on a consensus FCA outcome through dynamic negotiations and gradual compromise. Notably, this consensus upholds the individual rationality of each DMU, allowing them to align their proposals with their specific interests. Furthermore, the analysis establishes that the resulting FCA solution constitutes a Nash equilibrium, guaranteeing stability and universal acceptance among the DMUs. The effectiveness of the proposed approach is further illustrated through a numerical example and a case study involving FCA across 14 bank branches, along with a comparison to existing FCA methods.},

note = {In press JOURNAL PRE PROOF},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{zhang_3500,

title = {The Evolution of Complex Global Innovation Collaboration Network: A Multilevel Analysis of a CoPS Industry 2001-2020},

author = {Beibei ZHANG and Ximing Yin and Jie Xiong and Zhe Yuan},

url = {https://ieeexplore.ieee.org/document/10916686/authors},

year  = {2025},

date = {2025-03-01},

journal = {Ieee Transactions On Engineering Management},

abstract = {Global innovation collaboration networks (GICNs) constitute a fundamental component of the innovation ecosystem and significantly contribute to the advancement of complex products and systems (CoPS) in the domain of engineering management. Despite their significance, existing research has not adequately captured the intricate dynamics of GICNs, particularly from an evolutionary perspective. This study seeks to fill this gap by employing a holistic approach to analyze the complexity and evolutionary characteristics of a representative CoPS industry, across macro-network, meso-module, and micro-motif levels. Utilizing global patent data from 2001 to 2020 pertaining to chip manufacturing, our analysis identifies distinct collaborative patterns across the macro, meso, and micro levels within GICNs. At the macro level, there is a discernible shift towards a distributed structure, epitomized by a ?big center, multi-centers, decentralization? trend. The meso level exhibits a progression towards a ?loosely coupled? configuration of technical sub-modules, reflecting a specialized division of labor. Notably, the micro level demonstrates a significant centralization in collaborative innovation, with enterprises playing a pivotal role. This investigation provides an exhaustive empirical examination of GICNs within the CoPS industry and offers novel insights into the evolution of such networks. Furthermore, it furnishes actionable recommendations for policymakers and engineering managers seeking to navigate the complexities of CoPS innovation, thus providing a strategic roadmap for collaboration and innovation management.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{dornaika_3466,

title = {Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data},

author = {Fadi Dornaika and Jingjun Bi and Jinan Charafeddine},

url = {http://dx.doi.org/10.1007/s12559-025-10428-y},

year  = {2025},

date = {2025-03-01},

journal = {Cognitive Computation},

volume = {17},

pages = {73},

abstract = {Semi-supervised learning with a graph-based approach has gained prominence in machine learning, particularly in scenarios

where labeling data involves substantial costs. Graph convolution networks (GCNs) have found widespread application in

semi-supervised learning, predominantly on graph-structured data such as citation and social networks. However, a noticeable

gap exists in the application of these methods to non-graph multi-view data, such as collections of images. In an effort to

address this gap, we introduce two innovative deep semi-supervised multi-view classification models specifically tailored for

non-graph data. Both models share a common architecture, leveraging GCNs and integrating a label smoothing constraint.

The primary distinction lies in the construction of the consensus similarity graph. The first model directly reconstructs the

consensus graph from different views using a specialized objective function designed for flexible graph-based semi-supervised

classification. In contrast, the second model independently reconstructs individual graphs and subsequently adaptively merges

them into a unified consensus graph. Our experiments encompass various multiple-view image datasets. The results consis-

tently demonstrate the superior performance of our proposed approach compared to traditional fusion methods with GCNs. In

this research, we present two approaches for tackling semi-supervised classification challenges involving multiple views. One

method is named Semi-supervised Classification with a Unified Graph (SCUG), and the other is referred to as Semi-supervised

Classification with a Fused Graph (SC-Fused). Both methods share a common semi-supervised classification process, utilizing

the GCN framework and incorporating label smoothing. However, the key distinction lies in the construction of the similarity

graph. Unlike traditional ad hoc graph construction approaches, our proposed methods, SCUG and SC-Fused, estimate the

unified graph or individual graphs, respectively, alongside the labels. This results in more optimized graphs that benefit from

data smoothing and the semi-supervised context.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gull_3435,

title = {Navigating the black box: board co-option and environmental innovation},

author = {Ammar Ali Gull and Umer Iqbal and Abdul Ghafoor and Ammad Ahmed},

url = {https://www.emerald.com/insight/content/doi/10.1108/jal-05-2024-0103/full/html},

year  = {2025},

date = {2025-03-01},

journal = {Journal of Accounting Literature},

abstract = {Purpose

This study examines the impact of board co-option on environmental innovation and the moderating effect of firms' industrial context, ESG compensation and environmental policy stringency (EPS) on this relationship. Finally, we examine the implications of the board co-option and eco-innovation nexus on the market value of firms.



Design/methodology/approach

This study employs the system generalized method of moments (GMM) estimator on a longitudinal panel dataset of the US-listed firms to test the proposed hypotheses. The system GMM findings are substantiated using the entropy balancing method and difference-in-differences (DiD) estimations to better establish causality while addressing endogeneity concerns.



Findings

The findings provide evidence that board co-option has a negatively significant relationship with environmental innovation. Further analyses imply that the impact of board co-option on environmental innovation is positively significant among firms operating in environmentally sensitive industries, with ESG compensation for executives, and those operating in environments characterized by high environmental policy stringency. Taken together, these results suggest that industrial context, ESG compensation and environmental policy stringency moderate the impact of board co-option on environmental innovation. The results also reveal that more environmentally innovative firms attain greater market valuation when the board is co-opted.



Originality/value

This study is a novel attempt to contribute to the debate on board composition and its impact on corporate environmental innovation. It complements the existing literature on sustainability governance and accounting by providing an understanding of the impact of board co-option on corporate environmental innovation and highlights the role of regulatory pressure, industrial context and executive compensation structure in shaping this relationship. The findings offer valuable insights for academics, senior management and policymakers.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{singh_3397,

title = {Assessing the impact of digital transformation on green supply chain for achieving carbon neutrality and accelerating circular economy initiatives},

author = {Kuldeep Singh and Ranjan Chaudhuri and Sheshadri Chatterjee},

url = {https://www.sciencedirect.com/science/article/pii/S0360835225000890?via%3Dihub},

year  = {2025},

date = {2025-03-01},

journal = {Computers & Industrial Engineering},

volume = {201},

pages = {110943},

abstract = {The objective of this research is to analyse how digital transformation initiatives influence the effectiveness of green supply chain practices to achieve carbon neutrality as well as to accelerate circular economy practices. The study posits a theoretical model grounded in resource-based, data empowerment, and contingency theory to conduct the study. The main aspect of the research is to analyse the mediating role played by green supply chain integration on the association between digital transformation and green supply chain performance. Furthermore, the study also tried to uncover the moderating impact of absorptive capacity and economic policy uncertainty on above mentioned relationship. The moderating effect could deaccelerate carbon neutrality and could create hindrance towards circular economy. Hence, absorptive capacity is anticipated to influence how organizations assimilate and apply digital advancements, while economic policy uncertainty is expected to shape the overall landscape within which these transformations occur. The study followed a quantitative design and PLS-SEM analysis. The results show the importance of digital transformation in in order to derive environmental sustainability within supply chains. In this study absorptive capacity found as a significant moderator. The results offer valuable insights for businesses in order to to enhance environmental sustainability. Also, these efforts with digital transformation and effective SCM practices can help a firm to achieve carbon neutrality. This distinct approach promotes more sustainable and resilient green supply chain practices that enables businesses to stay agile and accelerate circular economy practices.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{obbadi_3392,

title = {A stable second-order splitting method for incompressible Navier-Stokes equations using the scalar auxiliary variable approach},

author = {Anouar Obbadi and Mofdi El-Amrani and Mohammed Seaid and Driss Yakoubi},

url = {https://www.sciencedirect.com/science/article/pii/S0045782525000738?dgcid=coauthor},

year  = {2025},

date = {2025-03-01},

journal = {Computer Methods In Applied Mechanics And Engineering},

volume = {437},

pages = {117801},

abstract = {We propose a novel second-order fractional-step method for the numerical solution of incompressible Navier-Stokes equations. This fractional-step method consists of two splitting steps and it employs the second-order implicit backward differentiation formula for the time integration.

Unlike most of the projection methods for solving incompressible Navier-Stokes equations, the proposed method is free from any numerical inconsistencies generated by the treatment

of boundary conditions on the pressure solution. Two pressure-correction strategies including the scalar auxiliary variable approach are proposed to enhance the accuracy of the method.

A rigorous stability analysis is also carried out in this study for the considered strategies.

Numerical results are presented for three benchmark problems to validate the unconditional stability and to demonstrate the performance of the proposed fractional-step method for solving unsteady incompressible viscous flows. The obtained computational results support our

theoretical expectations for an unconditionally stable second-order fractional-step method for the incompressible Navier-Stokes equations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{arya_3279,

title = {Using Augmented Reality to Strengthen Consumer/Brand Relationships: The Case of Luxury Brands},

author = {Vikas ARYA and Deepa SETHI and Linda D. HOLLEBEEK},

url = {https://onlinelibrary.wiley.com/doi/10.1002/cb.2419},

year  = {2025},

date = {2025-03-01},

journal = {Journal Of Consumer Behaviour},

volume = {24},

number = {2},

pages = {545-561},

abstract = {Though augmented reality (AR) is increasingly adopted in marketing, its capacity to foster consumers' engagement and attachment remain tenuous, exposing an important literature-based gap. Addressing this gap, we deploy social presence theory and luxury consumption theory to develop and test a model that proposes that consumers' engagement with AR-deploying luxury brands drives the development of their perceived brand warmth, social value, and brand competence, in turn impacting their brand attachment. To explore these issues, we draw on survey data from a sample of 537 luxury apparel and automotive consumers. The results using structural equation modelling (SEM) show that first, luxury consumers who exhibit high engagement with the AR-deploying brand perceive higher levels of brand warmth, -competence, and social value, in turn raising their attachment to the AR-deploying luxury brand. Overall, the findings highlight AR's strategic capacity to engage consumers and raise the brand's perceived brand warmth, competence, and social value, in turn boosting individuals' attachment to the AR-deploying brand.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhang_3199,

title = {A survey of evidential clustering: Definitions, methods, and applications},

author = {Zuowei Zhang and Yiru ZHANG and Hongpeng Tian and Arnaud Martin and Zhunga LIU and Weiping Ding},

url = {https://www.sciencedirect.com/science/article/pii/S1566253524005141},

year  = {2025},

date = {2025-03-01},

journal = {Information Fusion},

volume = {115},

pages = {102736},

abstract = {In the realm of information fusion, clustering stands out as a common subject and is extensively applied across various fields. Evidential clustering, an increasingly popular method in the soft clustering family, derives its strength from the theory of belief functions, which enables it to effectively characterize the uncertainty and imprecision of data distributions. This survey provides a comprehensive overview of evidential clustering, detailing its theoretical foundations, methodologies, and applications. Specifically, we start by briefly recalling the theory of belief functions with its transformations into other uncertainty reasoning theories. Then, we introduce the concepts of soft data, partitions, and methods with an emphasis on data and partitioning within the theory of belief functions. Subsequently, we summarize the advancements and quantitative evaluations of existing evidential clustering methods and provide a roadmap to help in selecting an appropriate method based on specific application needs. Finally, we identify the major challenges faced in the development and application of evidential clustering, pointing out promising avenues for future research, including theoretical limitations, applicable datasets, and application domains. The survey offers a structured understanding of existing evidential clustering methods, highlighting their theoretical underpinnings, practical implementations, and future research directions. It serves as a valuable resource for researchers seeking to deepen their understanding of evidential clustering.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{latukha_3185,

title = {Adaptive Leadership for Multilevel Resilience in the Context of Disruptions},

author = {Marina Latukha and Polina Yakovleva and Kaifeng Yan},

url = {https://onlinelibrary.wiley.com/doi/10.1002/tie.22416},

year  = {2025},

date = {2025-03-01},

journal = {Thunderbird International Business Review},

volume = {67},

number = {2},

pages = {149-167},

abstract = {This paper examines the relationship between adaptive leadership and three levels of resilience: individual, team, and organizational. Developing multilevel resilience enables organizations to better anticipate conflicts and respond to environmental disruptions. Through correlation and regression analysis based on 148 respondents from companies in Russia, we build the relationship between adaptive leadership and three levels of resilience, unpacking the new role of leadership in shaping managerial responses to contextual change. The results suggest that adaptive leadership can positively influence all three levels of resilience, with adaptive leadership having the most significant impact on team resilience, then organizational resilience, leaving employee resilience behind. Such findings contribute to a deeper understanding of how exactly managerial mechanisms should be redesigned to overcome disruptions and develop leadership capabilities.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boubakri_3013,

title = {Virtual Reality Classrooms vs. Video Conferencing Platforms: Initial Design and Evaluation Study for Collaborative Distance Learning},

author = {Fatima Ezzahra Boubakri and Mohammed Kadri and Fatima Zahra Kaghat and Ahmed Azough},

url = {https://link.springer.com/article/10.1007/s11042-024-19309-2},

year  = {2025},

date = {2025-03-01},

journal = {Multimedia Tools And Applications},

volume = {84},

pages = {9505-9536},

abstract = {In recent years, remote work and communication via videoconferencing tools have become increasingly prevalent across various sectors, including education, where students and teachers use these platforms to attend virtual classes. Although videoconferencing offers advantages such as convenience and flexibility, it also has limitations. For instance, remote group work and practical activities may pose challenges, and students may experience decreased motivation to learn due to a lack of social interaction and support provided in traditional classrooms. To address these limitations, this study proposes ?V-Class,? an immersive multi-user virtual reality learning system that combines distance learning with traditional learning by immersing students in a virtual classroom and facilitating collaboration and hands-on activities. This study evaluates the effectiveness of our system ?V-Class? using both subjective and objective measurements to examine variables like presence, performance, collaboration, and engagement. It is compared to Zoom, a popular videoconferencing tool, with 50 participants. V-Class outperformed Zoom in all dimensions, indicating its potential as a superior solution for enhancing distance learning over videoconferencing tools.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{platania_2970,

title = {A multi-objective pair trading strategy: integrating neural networks and cyclical insights for optimal trading performance},

author = {Federico Platania and Francesco Appio and Celina Toscano Hernandez and Imane El Ouadghiri and Jonathan Peillex},

url = {https://link.springer.com/article/10.1007/s10479-023-05754-z},

year  = {2025},

date = {2025-03-01},

journal = {Annals Of Operations Research},

volume = {346},

pages = {1553-1572},

abstract = {This paper introduces a comprehensive multidimensional pair trading strategy that integrates a multi-objective programming approach, cyclical insights, and neural networks to optimize trading performance. The strategy aims to exploit market inefficiencies by identifying statistical arbitrage opportunities in highly-correlated pairs of stocks. By incorporating multiple objectives, including maximizing returns and minimizing risk, the multi-objective programming framework enables the exploration of a diverse set of Pareto-optimal solutions. The inclusion of cyclical insights enhances the understanding of market dynamics, while the neural network methodology captures complex patterns and accurately predicts trading signals.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}