Du, Jingshu; Wu, Liang; Liu, Heng
Intrinsic or Normative Pressure and Green Management: The Role of Internal and External Bricolage Proceedings Article
Dans: European Academy of Management (EURAM), Dublin, Ireland, 2026.
@inproceedings{du_3319,
title = {Intrinsic or Normative Pressure and Green Management: The Role of Internal and External Bricolage},
author = {Jingshu Du and Liang Wu and Heng Liu},
url = {https://conferences.euram.academy/2023conference/wp-content/uploads/sites/8/2023/10/EURAM-2023-Programme-for-Web.pdf},
year = {2026},
date = {2026-06-01},
booktitle = {European Academy of Management (EURAM)},
address = {Dublin, Ireland},
note = {14-16 juin 2023
Dublin, Ireland},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Charafeddine, Jinan; Shakir, Wafaa; Hamdan, Hani
ESER- Machine Learning Model for Predicting RSSI of FSO Communications in Forest Environments Proceedings Article
Dans: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), IEEE, Las Vegas, NV, USA, 2025, ISBN: 2331-9860.
@inproceedings{charafeddine_3667,
title = {ESER- Machine Learning Model for Predicting RSSI of FSO Communications in Forest Environments},
author = {Jinan Charafeddine and Wafaa Shakir and Hani Hamdan},
url = {http://dx.doi.org/10.1109/CCNC54725.2025.10975867},
issn = {2331-9860},
year = {2025},
date = {2025-11-01},
booktitle = {2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC)},
publisher = {IEEE},
address = {Las Vegas, NV, USA},
abstract = {This study investigates the application of machine learning (ML) algorithms to predict the received signal strength indicator (RSSI) in free space optical (FSO) communication systems operating in forest areas. FSO technology offers high data transmission rates and bandwidths, but faces challenges due to atmospheric conditions, especially in dynamic environments such as forests. Conventional empirical models often fail to accurately estimate RSSI due to the complex, non-linear nature of these environments. To address this problem, we collected a comprehensive dataset over a 12-month period, covering various atmospheric parameters such as temperature, humidity and wind speed. We evaluated several ML models - K-Nearest Neighbors (KNN), Decision Trees (DT), Random Forest (RF), Gradient Boosting Regression (GBR) and Artificial Neural Networks (ANN). In addition, we have developed a new ML model that combines RF and GBR methods and provides the best results, called ?Enhanced Stacked Ensemble Regressor? (ESER) - to determine its effectiveness in predicting RSSI. The results show that the ESER model has the lowest root mean square error (RMSE) and a high coefficient of determination (R2), demonstrating its robustness and accuracy. This study highlights the potential of ML techniques to improve the reliability of FSO links in challenging environments. It highlights directions for future work, including real-time prediction and adaptive FSO systems.},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Hamdache, Kamel; Hamroun, Djamila
Asymptotic behavior of thin ferroelectric models Article de journal
Dans: Nonlinear Analysis-Real World Applications, vol. 85, no. 1, p. 104379, 2025.
@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}
}
Makki, Ahmad; MHEICH, RIM; Petcu, Madalina; Talhouk, Raafat
Asymptotic behavior of the coupled Allen-Cahn/Cahn-Hilliard system with proliferation term Article de journal
Dans: Journal Of Mathematical Analysis And Applications, vol. 548, no. 1, p. 129382, 2025.
@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}
}
Kumar, Sachin; Kumar, Vinod; Chaudhuri, Ranjan; Chatterjee, Sheshadri; Vrontis, Demetris
AI capability and environmental sustainability performance: Moderating role of green knowledge management Article de journal
Dans: Technology In Society, vol. 81, p. 102870, 2025.
@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}
}
Peng, Guowe; Dornaika, Fadi; Charafeddine, Jinan
CGCN-FMF:1D convolutional neural network based feature fusion and multi graph fusion for semi-supervised learning Article de journal
Dans: Expert Systems With Applications, vol. 277, p. 127194, 2025.
@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}
}
Benkraiem, Ramzi; Gaaya, Safa; Lakhal, Faten; Kilic, Merve
Access to finance and corporate tax avoidance: International evidence Article de journal
Dans: Journal of International Accounting, Auditing and Taxation, vol. 58, p. 100668, 2025.
@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}
}
Mhiri, Mohamed Taha; Larbi, Walid; Chouchane, Mnaouar; Guerich, Mohamed
Optimization of a Macrofiber Piezoelectric Energy Harvester Using Artificial Neural Networks Article de journal
Dans: Composite Structures, 2025.
@article{mhiri_3672,
title = {Optimization of a Macrofiber Piezoelectric Energy Harvester Using Artificial Neural Networks},
author = {Mohamed Taha Mhiri and Walid Larbi and Mnaouar Chouchane and Mohamed Guerich},
url = {https://www.sciencedirect.com/journal/composite-structures},
year = {2025},
date = {2025-05-01},
journal = {Composite Structures},
abstract = {This paper addresses the challenge of finding the optimal design parameters for a
piezoelectric energy harvester. It presents an advanced simulation-driven optimization
approach to determine the optimal geometric and circuit configuration for maximizing energy
harvesting efficiency. Additionally, it enhances power output at an excitation frequency within
the 10-100 Hz range, which is commonly found in the environment. The harvester consists of
a cantilever beam partially coated with a macrofibre composite (MFC) piezoelectric patch,
connected to a resistance load and subjected to base excitation. The optimization platform is
built upon both analytical and finite element (FE) models of the energy harvesting system. For
beams with a large aspect ratio (length/width), the analytical model based on Euler-Bernoulli
beam theory is used, while for those with a small aspect ratio, a 3D FE model is employed to
simulate the entire energy harvesting process. This approach enhances the accuracy of
piezoelectric energy prediction. Due to the high computational cost and the significant time and
memory required for running numerous simulations to evaluate the objective function (OF)
used in the optimization, a more efficient solution is implemented based on a Neural Networks
(NNs) model. Initially, the NNs is trained using a dataset derived from simulations and its
performance and accuracy are rigorously assessed through various statistical methods. Once
trained, the NNs serves as a surrogate model for OF evaluation, allowing for more efficient
black-box optimization via a Genetic Algorithm (GA). Finally, a thorough analysis of the
optimal design parameters obtained from the optimization process is conducted.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Virto, Laura Recuero; Saba, Peter; Thielens, Arno; Czerwinski, Marek; Um, Paul Noumba
Digital Sustainability Trade-Offs: Public Perceptions of Mobile Radiation and Green Roofs Article de journal
Dans: Communications of the AIS, vol. 56, no. 1, p. 720 - 762, 2025.
@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/cgi/viewcontent.cgi?article=4655&context=cais},
year = {2025},
date = {2025-05-01},
journal = {Communications of the AIS},
volume = {56},
number = {1},
pages = {720 - 762},
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 = {online},
tppubtype = {article}
}
Gaaya, Safa; Essid, Moez; BELDI, Adel; Saad, Itidel Ben
Firm-level political risk and accounting conservatism Proceedings Article
Dans: 47th Annual Congress of the European Accounting Association, European Accounting Association Rome, ITALY, 2025.
@inproceedings{gaaya_3545,
title = {Firm-level political risk and accounting conservatism},
author = {Safa Gaaya and Moez Essid and Adel BELDI and Itidel Ben Saad},
year = {2025},
date = {2025-05-01},
booktitle = {47th Annual Congress of the European Accounting Association},
address = {Rome, ITALY},
organization = {European Accounting Association},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Lakhal, Faten; Saad, Itidel Ben; Nizar, Hamza; Almoataz, Ehsan
CSR contracting and annual report readability Conférence
European Accounting Association, Rome, Italy, 2025.
@conference{lakhal_3457,
title = {CSR contracting and annual report readability},
author = {Faten Lakhal and Itidel Ben Saad and Hamza Nizar and Ehsan Almoataz},
url = {https://eaa-online.org/congress-2025/},
year = {2025},
date = {2025-05-01},
booktitle = {European Accounting Association},
address = {Rome, Italy},
abstract = {This paper investigates the impact of CSR contracting on annual report readability. Using a sample of U.S firms including 3371 observations firm-year observations over the period 2011-2021, we find that CSR contracting reduces annual report readability suggesting that CSR contracting can be opportunistically used by managers to pursue self-interest purposes, resulting in more complex narrative disclosures. Additionally, our results show that strong oversight from audit and corporate governance committees can mitigate the negative impact of CSR contracting on readability. However, weaker financial reporting quality exacerbates this relationship. Our results imply that while CSR-related incentives are often intended to align executive behavior with socially responsible goals, our findings reveal a potential downside on the readability of annual reports.},
note = {28-30 mai 2025},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Dornaika, Fadi; Charafeddine, Jinan; Xiao, Huaiyuan; Bi, Jingjun
Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks Article de journal
Dans: Neural Networks, vol. 185, p. 107218, 2025.
@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}
}
Belot, François; Waxin, Timothée
Government awards to CEOs Article de journal
Dans: Journal Of Business Finance & Accounting, vol. 52, no. 1, p. 472-510, 2025.
@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}
}
Chaudhuri, Ranjan; Chatterjee, Sheshadri; Vrontis, Demetris; Chaudhuri, Sumana
Assessing the economic and social impacts of greenwashing: moderating impact of big data analytics adoption Article de journal
Dans: International Journal Of Bank Marketing, vol. XX, no. XX, p. 1-22, 2025.
@article{chaudhuri_3665,
title = {Assessing the economic and social impacts of greenwashing: moderating impact of big data analytics adoption},
author = {Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Sumana Chaudhuri},
url = {http://dx.doi.org/10.1108/IJBM-07-2024-0440},
year = {2025},
date = {2025-04-01},
journal = {International Journal Of Bank Marketing},
volume = {XX},
number = {XX},
pages = {1-22},
abstract = {Purpose - This study empirically examines the impact of greenwashing practices on consumers' intention to
purchase green products. It also investigates whether greenwashing has any impact on economic and social
risks. Moreover, this research captures the moderating impact of big data analytics (BDA) on the relationships
between intention to purchase green products and its predictors.
Design/methodology/approach - With the support of literature in the field of greenwashing, economics,
consumer behavior, as well as emerging technologies and theories on consumer behavior, a conceptual model is
developed. The model was validated using partial least squares (PLS) structural equation modeling (SEM)
technique considering 356 respondents from European countries who are aware of greenwashing practices.
Findings - This study highlights that greenwashing practices negatively impact people both economically and
socially. But greenwashing practices also have a profound impact on consumers' intention to purchase
ecofriendly products. It also demonstrates a significant moderating impact of big data analytics adoption on the
relationship between intention to purchase green products with its predictors.
Research limitations/implications - The study presentsinsights on greenwashing and itsimpact on society and
the economy. It also shows that technologies like BDA could help minimize the challenges of greenwashing
activities as well as the social and economic risks. Moreover, the study provides vital insights into the influence
of greenwashing practices on the intention to purchase green products. Finally, asthis is a cross-sectionalstudy,
there are some limitations.
Originality/value - This study takes a fresh look at greenwashing practices and BDA technology to overcome
some of the challenges. It provides a unique research model that is (1) unique in this research domain; (2)
International
Journal of Bank
Marketing
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/0265-2323.htm
Received 30 July 2024
Revised 15 October 2024
2 January 2025
26 March 2025
Accepted 27 March 2025
International Journal of Bank Marketing
© Emerald Publishing Limited
e-ISSN: 1758-5937
p-ISSN: 0265-2323
DOI 10.1108/IJBM-07-2024-0440
provides a solid foundation for future researchersto further nurture; (3) extendsthe understanding of how using
technology can minimize the risks caused by greenwashing; and (4) contributes to the body of literature on
consumer behavior, economics, technology and social risks.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Aftab, Junaid; ISHAQ, Muhammad Ishtiaq; Abid, Nabila
How Environmental Leadership Influences Performance Outcomes: A Study of the Manufacturing Sector Article de journal
Dans: Business Ethics, the Environment and Responsibility, vol. Online, no. Online, p. 1-24, 2025.
@article{aftab_3660,
title = {How Environmental Leadership Influences Performance Outcomes: A Study of the Manufacturing Sector},
author = {Junaid Aftab and Muhammad Ishtiaq ISHAQ and Nabila Abid},
url = {http://dx.doi.org/10.1111/beer.12817},
year = {2025},
date = {2025-04-01},
journal = {Business Ethics, the Environment and Responsibility},
volume = {Online},
number = {Online},
pages = {1-24},
abstract = {Drawing on the ability-motivation-opportunity (AMO) theory and the resource-based view (RBV), this study argues that environmental transformational leadership (ETL) enhances both economic and environmental performance through green human resource management (GHRM). It also examines the moderating role of environmental knowledge in the relationship between ETL and GHRM. Furthermore, this study posits that big data analytical capabilities (BDAC) strengthen the impact of GHRM on economic and environmental performance. Using a random sampling approach, we collected multi-respondent data from 355 manufacturing firms, incorporating insights from first-level managers and top executives. Structural equation modeling was employed as our analytical technique. The findings confirm that GHRM significantly mediates the effect of ETL on both economic and environmental performance. However, contrary to expectations, environmental knowledge does not moderate the ETL-GHRM relationship. In contrast, BDAC strengthens the influence of GHRM on economic and environmental performance. This study contributes to the leadership literature by identifying the underlying mechanism (how) and boundary conditions (when) through which ETL influences firms' performance outcomes.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Dornaika, Fadi; Charafeddine, Jinan
One-phase multi-view clustering with unified graph and data representation convolution Article de journal
Dans: Soft Computing, vol. Online First, no. Ahead of P, p. n/a, 2025.
@article{dornaika_3653,
title = {One-phase multi-view clustering with unified graph and data representation convolution},
author = {Fadi Dornaika and Jinan Charafeddine},
url = {http://dx.doi.org/10.1007/s00500-025-10533-y},
year = {2025},
date = {2025-04-01},
journal = {Soft Computing},
volume = {Online First},
number = {Ahead of P},
pages = {n/a},
abstract = {The goal of multi-view clustering is to partition unlabeled objects into disjoint clusters or groups using consistent and complementary information provided by the different features of the same object. Most existing methods perform this clustering task sequentially: Computation of the individual or consistent graph matrices, spectral embedding, and clustering. In this work, we present an approach that can overcome some of the limitations of previous multiview clustering methods. We introduce a single objective function whose minimization can jointly determine the consistent graph matrix for all views, the unified spectral data representation, the soft cluster indices, and the view weights. We present a constraint term that relates the cluster indices to the convolution of the consistent spectral data representations over the consistent graph. The method we present has two interesting features that are not simultaneously present in recent work. First, the cluster indices can be estimated directly without the need for an additional clustering step, which depends heavily on initialization. Second, the soft cluster indices are directly linked to the kernel representation of the features of the views. Moreover, our proposed method automatically determines the weights of each view, thus requiring fewer hyperparameters. A series of experiments have been conducted on real datasets. These demonstrate the efficiency of the proposed method, which compares favorably to many multi-view clustering methods.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Wang, Zhiqiang; ZHU, Ni; He, Ruiwen
GNSS Non-Line-of-Sight (NLOS) Error Repairing in Challenging Urban Environments with Channel Attention and Inception-based Deep Learning Proceedings Article
Dans: Dr. Prof., Sergey Y. Yurish (Ed.): 7th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2025), IFSA Publishing, S. L., Innsbruck, Austria, 2025, ISBN: 978-84-09-71189-5.
@inproceedings{wang_3639,
title = {GNSS Non-Line-of-Sight (NLOS) Error Repairing in Challenging Urban Environments with Channel Attention and Inception-based Deep Learning},
author = {Zhiqiang Wang and Ni ZHU and Ruiwen He},
editor = {Prof., Dr., Sergey Y. Yurish},
url = {http://dx.doi.org/10.13140/RG.2.2.14725.46566},
issn = {978-84-09-71189-5},
year = {2025},
date = {2025-04-01},
booktitle = {7th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2025)},
publisher = {IFSA Publishing, S. L.},
address = {Innsbruck, Austria},
abstract = {Global Navigation Satellite Systems (GNSS) provide absolute positioning for a wide range of applications. However, their performance can be severely degraded due to multipath and Non-Line-of-Sight (NLOS) receptions caused by surrounding environments, particularly in urban canyons. The traditional statistic-based mitigation methods encounter bottlenecks since the errors from these local effects are difficult to model accurately using existing distributions. To handle this issue, this paper proposes a deep-learning framework to estimate the additional distances of the range measurements caused by NLOS receptions. The customized architecture involves four main modules: a non-linear data transformation to rescale the data, a channel attention mechanism to weigh different features, a generative Convolutional Neural Network (CNN) network to augment the feature map, and an inception module to enhance the feature extraction from a multi-hierarchical level. The model was trained and tested with real urban GNSS data, which shows promising results, achieving an RMSE of 6.76 m and a 75% prediction error of 0.71 m, demonstrating higher accuracy than the current state-of-the-art.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sarang, Aitzaz Ahsan Alias; Rind, Asad Ali; Manita, Riadh; SAEED, Asif
Does a co?opted director affect a firm's financial distress risk? Article de journal
Dans: International Journal Of Finance & Economics, 2025.
@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}
}
Yuan, Zhe; Toufaily, Elissar; Khelladi, Insaf
Crypto-art et marché : les NFT, révolution ou mirage ? Divers
The Conversation, 2025.
@misc{yuan_3641,
title = {Crypto-art et marché : les NFT, révolution ou mirage ?},
author = {Zhe Yuan and Elissar Toufaily and Insaf Khelladi},
url = {https://theconversation.com/crypto-art-et-marche-les-nft-revolution-ou-mirage-253756},
year = {2025},
date = {2025-04-01},
howpublished = {The Conversation},
note = {Alors que la Paris Blockchain Week, du 8 au 10 avril 2025, s'apprête à explorer les dernières tendances du Web3, la place des jetons non fongibles, ou NFT, dans l'art physique suscite encore des débats. Entre innovation, spéculation et défis juridiques, ces actifs numériques redéfinissent-ils la propriété artistique ou restent-ils une bulle incertaine ?},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Xiao, Xiao; Noh, Hayoun; Lefevre, Adrien; Li, Lucy; McKee, Holly; Algargoosh, Alaa; Ishii, Hiroshi
ReMirrorFugue: Examining the Emotional Experience of Presence and (Illusory) Communications Across Time Proceedings Article
Dans: Proceedings of CHI '25: CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, United States, 2025, ISBN: NA.
@inproceedings{xiao_3558,
title = {ReMirrorFugue: Examining the Emotional Experience of Presence and (Illusory) Communications Across Time},
author = {Xiao Xiao and Hayoun Noh and Adrien Lefevre and Lucy Li and Holly McKee and Alaa Algargoosh and Hiroshi Ishii},
issn = {NA},
year = {2025},
date = {2025-04-01},
booktitle = {Proceedings of CHI '25: CHI Conference on Human Factors in Computing Systems},
publisher = {Association for Computing Machinery},
address = {New York, NY, United States},
abstract = {This paper examines how strategies for simulating social presence across distance can evoke a sense of presence and facilitate illusory interactions across time. We conducted a mixed-methods study with 28 participants, exploring their emotional experience of interacting with decade-old recorded piano performances on MirrorFugue---a player piano enhanced with life-sized projections of the pianist's hands and body, creating the illusion of a virtual reflection playing the instrument. Data were collected via wearable sensors, questionnaires, and interviews.
Results showed that participants felt a strong presence of past pianists, with some experiencing the illusion of two-way communication and an overall increase in connection. The emotional experience was significantly influenced by the participant's relationship with the recorded pianist and the pianist's vital status. These findings suggest that telepresence technologies can foster connections with the past, offering spaces for memory recall, self-reflection, and a sense of ?time travel.?},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sebban, Othmane; Azough, Ahmed; Lamrini, Mohamed
Improving visual perception through technology: a comparative analysis of real-time visual aid systems Article de journal
Dans: TELKOMNIKA Telecommunication, Computing, Electronics and Control, vol. 23, no. 2, p. 349-370, 2025.
@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}
}
Askenazy, Philippe; Brébion, Clément; COURTIOUX, Pierre; Erhel, Christine; Mofakhami, Malo
Employment strategies in response to the first Covid lockdown: A typology of French workplaces Article de journal
Dans: Industrial Relations, vol. 64, no. 2, p. 168-199, 2025.
@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}
}
ZHU, Ni; He, Ruiwen; Wang, Zhiqiang
Dans: Engineering Applications Of Artificial Intelligence, vol. 145, p. 110160, 2025.
@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}
}
Molinet, Luc; Talhouk, Raafat
Global solutions for the one-dimensional Boussinesq-Peregrine system under small bottom variation Article de journal
Dans: Journal Of Differential Equations, vol. 423, p. 550-596, 2025.
@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}
}
Bazgour, Tarik
The green premium: How environmental consciousness elevates crowdfunding success Article de journal
Dans: Finance Research Letters, vol. 74, no. March 2025, p. 106743, 2025.
@article{bazgour_3661,
title = {The green premium: How environmental consciousness elevates crowdfunding success},
author = {Tarik Bazgour},
url = {http://dx.doi.org/10.1016/j.frl.2025.106743},
year = {2025},
date = {2025-03-01},
journal = {Finance Research Letters},
volume = {74},
number = {March 2025},
pages = {106743},
abstract = {This study investigates the impact of environmental orientation on the success of crowdfunding projects, using a comprehensive dataset from Kickstarter. By examining environmental keywords, geographic distribution of backers, and other project characteristics, we find that environmentally oriented projects achieve significantly higher success rates and funding levels. Notably, while sustainability plays a critical role in attracting backers, the combined effect of environmental orientation and a majority of US backers moderates this success. These findings underscore the importance of integrating environmental themes into crowdfunding campaigns and highlight the necessity for tailored strategies that account for geographic preferences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Appio, Francesco; Benlemlih, Mohammed; Ouadghiri, Imane El; Peillex, Jonathan
International Evidence on the Financial Performance of Biodiversity Investing Article de journal
Dans: Journal Of Environmental Management, vol. 377, no. -, p. 124640, 2025.
@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}
}
Joullié, Jean-Etienne
« Je ne savais pas à quoi m'attendre » : après un tour du monde, le dur retour au bureau Divers
Les Échos, 2025.
@misc{joullie_3622,
title = {« Je ne savais pas à quoi m'attendre » : après un tour du monde, le dur retour au bureau},
author = {Jean-Etienne Joullié},
url = {https://www.lesechos.fr/travailler-mieux/metiers-reconversion-professionnelle/je-ne-savais-pas-a-quoi-mattendre-apres-un-tour-du-monde-le-dur-retour-au-bureau-2156465},
year = {2025},
date = {2025-03-01},
howpublished = {Les Échos},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Moradi, Razie; Vaseghi, Majid; Sohrabian, Majid; Vanaei, Hamidreza
Optimized bioactive glass/PLA nanocomposites for bone tissue engineering: balancing mechanical strength and biodegradability Article de journal
Dans: International Journal Of Polymeric Materials And Polymeric Biomaterials, vol. 1, no. 1, p. 1-14, 2025.
@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}
}
Chaudhary, Sanjay; Dhir, Amandeep; Nguyen, Duc Khuong; Battisti, Enrico; Kaur, Puneet
Exploring Family Values, Religion, and Ethical Behavior in Family Businesses: A Multi-Stage Qualitative Investigation Article de journal
Dans: Journal Of Business Ethics, 2025.
@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}
}
Gharib, Saeed; Charafeddine, Jinan; Haddad, Samir; Dornaika, Fadi
Enhancing Medical Image Classification with Streamlined-EvidNet: A Robust Neural Network Architecture Proceedings Article
Dans: 2024 International Conference on Computer and Applications (ICCA), IEEE, Cairo, 2025, ISBN: 979-8-3503-6757-7.
@inproceedings{gharib_3616,
title = {Enhancing Medical Image Classification with Streamlined-EvidNet: A Robust Neural Network Architecture},
author = {Saeed Gharib and Jinan Charafeddine and Samir Haddad and Fadi Dornaika},
url = {http://dx.doi.org/10.1109/ICCA62237.2024.10928015},
issn = {979-8-3503-6757-7},
year = {2025},
date = {2025-03-01},
booktitle = {2024 International Conference on Computer and Applications (ICCA)},
publisher = {IEEE},
address = {Cairo},
abstract = {Accurate classification of medical images is crucial for automated analysis and disease diagnosis. Traditional deep learning methods often struggle with challenges such as variations in image quality and imbalanced datasets, leading to diagnostic errors. This study introduces an advanced framework that integrates contrastive learning, ResNet architectures, and Bayesian methods to enhance the accuracy and reliability of medical image classification, with a focus on heart disease detection. Contrastive learning enhances the model's capability to differentiate between similar and dissimilar image pairs, thereby reducing the challenges posed by imbalanced datasets. ResNet architectures provide robust feature extraction, while Bayesian methods offer probabilistic interpretations, addressing uncertainty in predictions. Our comprehensive evaluation demonstrates significant improvements in classification performance, positioning this approach as a promising tool for clinical applications in radiology. The proposed framework effectively overcomes challenges associated with variable image quality and imbalanced datasets, contributing to improved diagnostic accuracy and reliability in cardiovascular disease detection.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Alkebsee, Radwan; Gull, Ammar Ali; Ghafoor, Abdul
The Governance Role of Independent Directors' Cash Compensation in Suspect Firms? Evidence From Real Earnings Management Article de journal
Dans: International Journal Of Finance & Economics, 2025.
@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}
}
Ghamgui, Nizar; Khelladi, Insaf; Castellano, Sylvaine
The Conversation, 2025.
@misc{ghamgui_3584,
title = {Comment les femmes construisent-elles leur légitimité dans la transmission des entreprises familiales ?},
author = {Nizar Ghamgui and Insaf Khelladi and Sylvaine Castellano},
url = {https://theconversation.com/comment-les-femmes-construisent-elles-leur-legitimite-dans-la-transmission-des-entreprises-familiales-248196},
year = {2025},
date = {2025-03-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Guérard, Guillaume; Djebali, Sonia
Decoding Cancer: How AI and Genetics Work Together to Save Lives Divers
LinkedinPulse, 2025.
@misc{guerard_3547,
title = {Decoding Cancer: How AI and Genetics Work Together to Save Lives},
author = {Guillaume Guérard and Sonia Djebali},
url = {https://www.linkedin.com/pulse/decoding-cancer-how-ai-genetics-work-together-save-lives-gu%25C3%25A9rard-nesme/},
year = {2025},
date = {2025-03-01},
howpublished = {LinkedinPulse},
keywords = {},
pubstate = {online},
tppubtype = {misc}
}
Guérard, Guillaume; Djebali, Sonia
Can We Trust AI in Medicine? The Hidden Biases in Healthcare Data Divers
LinkedinPulse, 2025.
@misc{guerard_3546,
title = {Can We Trust AI in Medicine? The Hidden Biases in Healthcare Data},
author = {Guillaume Guérard and Sonia Djebali},
url = {https://www.linkedin.com/pulse/can-we-trust-ai-medicine-hidden-biases-healthcare-data-gu%25C3%25A9rard-kd01e/},
year = {2025},
date = {2025-03-01},
howpublished = {LinkedinPulse},
keywords = {},
pubstate = {online},
tppubtype = {misc}
}
Essid, Moez; Bazgour, Tarik
Sustainability Reporting and Innovation in the Energy Sector Book Section
Dans: K.B. Eds: Atici, Boz Semerci (Ed.): Energy Entrepreneurship, Sustainability, Innovation and Financing: Practical Applications & Future Directions, p. 129-151, Springer, Cham, 2025, ISBN: 978-3-031-80001-6.
@incollection{essid_3018,
title = {Sustainability Reporting and Innovation in the Energy Sector},
author = {Moez Essid and Tarik Bazgour},
editor = {Eds: Atici, K.B., Boz Semerci, A., Kabakci, H., Shrestha, P.},
url = {https://link.springer.com/chapter/10.1007/978-3-031-80001-6_7},
issn = {978-3-031-80001-6},
year = {2025},
date = {2025-03-01},
booktitle = {Energy Entrepreneurship, Sustainability, Innovation and Financing: Practical Applications & Future Directions},
pages = {129-151},
publisher = {Springer, Cham},
edition = {SRINGER},
abstract = {Based on a sample of 274 U.S. companies operating in the energy sector between 2010 and 2022, this chapter describes four sustainability reporting (SR) practices and examines whether innovation within these companies has an impact on their SR. First, our statistical analyses show that U.S. energy companies have made significant progress in the use of the Global Reporting Initiative (GRI) guidelines, the Sustainability Accounting Standards Board (SASB) standards, the Task Force on Climate-related Financial Disclosures (TCFD) Recommendations, and finally the external assurance of the sustainability reports over the period 2010-2022. Second, we run logistic regressions to examine the association between R&D expenditures, as a proxy for innovation, and the four SR practices. It appears that the more a company invests in R&D, the less likely it is to use a specific sustainable reporting framework, standard, or guideline. We conclude that the trade-off approach of the resource-based view assuming a negative relationship between CSR practices and innovation applies in the U.S. energy sector setting.},
note = {Based on a sample of 274 U.S. companies operating in the energy sector between 2010 and 2022, this chapter describes four sustainability reporting (SR) practices and examines whether innovation within these companies has an impact on their SR. First, our statistical analyses show that U.S. energy companies have made significant progress in the use of the Global Reporting Initiative (GRI) guidelines, the Sustainability Accounting Standards Board (SASB) standards, the Task Force on Climate-related Financial Disclosures (TCFD) Recommendations, and finally the external assurance of the sustainability reports over the period 2010-2022. Second, we run logistic regressions to examine the association between R&D expenditures, as a proxy for innovation, and the four SR practices. It appears that the more a company invests in R&D, the less likely it is to use a specific sustainable reporting framework, standard, or guideline. We conclude that the trade-off approach of the resource-based view assuming a negative relationship between CSR practices and innovation applies in the U.S. energy sector setting.},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Slama, Afef; Ghozzi, Khaled; Lakhal, Faten; Guizani, Assil; Hussainey, Khaled
Investing in a Cleaner Future: The Role of Institutional Investors in Corporate Waste Management Article de journal
Dans: Business Strategy And The Environment, p. 01-21, 2025.
@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}
}
Shuwaikh, Fatima
Towards Net Zero Emissions: The Impact of Green Innovation, GHG and CSR on the Financial Success of U.S. Corporate Venture Capital Parents Article de journal
Dans: Energy Journal, vol. Vol. 44, no. Suppl 1, p. 261-294, 2025.
@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}
}
Josserand, Emmanuel; Sturdy, Andrew
The Conversation, 2025.
@misc{josserand_3620,
title = {How Australia's government is spending less on consultants - and trying to rebuild the public service},
author = {Emmanuel Josserand and Andrew Sturdy},
url = {https://theconversation.com/how-australias-government-is-spending-less-on-consultants-and-trying-to-rebuild-the-public-service-252748},
year = {2025},
date = {2025-03-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Shakir, Wafaa; Charafeddine, Jinan
Empowering MIMO-FSO Systems: RIS Technology for Enhanced Performance in Challenging Conditions Article de journal
Dans: vol. 28, no. 6, p. 1 - 1, 2025.
@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}
}
Tartoussi, Bouchra; Tartoussi, Najah; Altayebrrafei, Baraa; Charafeddine, Jinan; Shakir, Wafaa; Chendeb, Nancy
Optimizing FSO System Performance: Integrating Machine Learning for Security and Reliability Proceedings Article
Dans: 2025 5th IEEE Middle East and North Africa Communications Conference (MENACOMM), IEEE, Liban, 2025.
@inproceedings{tartoussi_3597,
title = {Optimizing FSO System Performance: Integrating Machine Learning for Security and Reliability},
author = {Bouchra Tartoussi and Najah Tartoussi and Baraa Altayebrrafei and Jinan Charafeddine and Wafaa Shakir and Nancy Chendeb},
url = {http://dx.doi.org/10.1109/MENACOMM62946.2025.10911027},
year = {2025},
date = {2025-03-01},
booktitle = {2025 5th IEEE Middle East and North Africa Communications Conference (MENACOMM)},
publisher = {IEEE},
address = {Liban},
abstract = {Free-space optical (FSO) communication is critical to next-generation data networks as it enables high data throughput without the frequency limitations of radio communication systems. However, the reliability and security of these systems can be severely compromised by environmental factors such as misalignment and unfavorable atmospheric conditions. This paper presents an innovative study using machine learning to analyze and optimize the trade-off between security and reliability in FSO communications. Utilizing a Meta Model approach, we systematically examine the impact of key operational parameters?such as signal strength, atmospheric turbulence, and alignment precision?on system performance. The results show that our approach can significantly improve the prediction of reliability and security, enabling more effective management of FSO transmission resources. This study opens new avenues for developing more robust and secure wireless optical communication systems by leveraging the potential of machine learning methods to address the challenges associated with FSO environments comprehensively.},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Joullié, Jean-Etienne
Former à l'intelligence artificielle : un défi humain plus que technologique Divers
Le journal des entreprises, 2025.
@misc{joullie_3507,
title = {Former à l'intelligence artificielle : un défi humain plus que technologique},
author = {Jean-Etienne Joullié},
year = {2025},
date = {2025-03-01},
howpublished = {Le journal des entreprises},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
SAEED, Asif; Hamid, Samreen; Manita, Riadh; Suntraruk, Phassawan
CSR decoupling and financial fraud: Unveiling the hidden nexus in US-listed firms Article de journal
Dans: Research In International Business And Finance, vol. 75, p. 102791, 2025.
@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}
}
Falih, Mohanaed Ajmi; Ali, Nidaa Ghalib; Alshabeeb, Israa Ali; Shakir, Wafaa; Charafeddine, Jinan
Congregate: Enhancing communication sensor with concentration grid Proceedings Article
Dans: 3RD INTERNATIONAL CONFERENCE ON MATHEMATICS, AI, INFORMATION AND COMMUNICATION TECHNOLOGIES: ICMAICT2023, AIP Publishing, Erbil, Iraq, 2025, ISBN: 0094-243X.
@inproceedings{ajmi_falih_3485,
title = {Congregate: Enhancing communication sensor with concentration grid},
author = {Mohanaed Ajmi Falih and Nidaa Ghalib Ali and Israa Ali Alshabeeb and Wafaa Shakir and Jinan Charafeddine},
url = {https://pubs.aip.org/aip/acp/issue/3264/1},
issn = {0094-243X},
year = {2025},
date = {2025-03-01},
booktitle = {3RD INTERNATIONAL CONFERENCE ON MATHEMATICS, AI, INFORMATION AND COMMUNICATION TECHNOLOGIES: ICMAICT2023},
volume = {3264},
number = {1},
publisher = {AIP Publishing},
address = {Erbil, Iraq},
abstract = {Network-based aggregation algorithms are well known because of their efficiency in terms of fast processing
time. On the other hand, when dealing with arbitrary-shaped data sets, density-based methods are often the best options.
Wireless sensor networks (WSNs) are extraordinary networks corresponding to units in extensive numbers or spatial
distributions. The number of sensors' functionality cooperates in imitation of bringing about the common tasks. Clustering
is one of the positive strategies in attempting to clear up the trouble of power blasting. A grid-based cluster has validated
its affectivity specifically because of its highly brawny network. The gird strategy aged in this paper is applied concerning
solid community or dividing the network vicinity of multiple grid cells together with distinct densities. Then, the grid is
blended to form clusters like ordinary and superior clusters. Each one of the clusters chooses its cluster head (CH) entirely
depending on big energy. The latter advised using MATLAB for implementing as well as testing the approach. The results
demonstrate how effectively such a suggestion method works at a hundred and fifty node WSNs, followed by grid sizes of
5-10 items where the network lives for around a second.},
note = {conf du 27-28 April 2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Chu, Junfei; Dong, Yanhua; Wang, Weijiao; RUI, Yuting; Yuan, Zhe
Data envelopment analysis fixed cost allocation based on dynamic bargaining game and the Nash equilibrium Article de journal
Dans: European Journal Of Operational Research, 2025.
@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}
}
ZHANG, Beibei; Yin, Ximing; Xiong, Jie; Yuan, Zhe
The Evolution of Complex Global Innovation Collaboration Network: A Multilevel Analysis of a CoPS Industry 2001-2020 Article de journal
Dans: Ieee Transactions On Engineering Management, 2025.
@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}
}
Shuwaikh, Fatima
Towards Net Zero Emissions Divers
FNEGE Médias, Video, 2025.
@misc{shuwaikh_3471,
title = {Towards Net Zero Emissions},
author = {Fatima Shuwaikh},
url = {https://fnege-medias.fr/fnege-video/towards-net-zero-emissions/
https://www.youtube.com/watch?v=GS0ADd11BaY},
year = {2025},
date = {2025-03-01},
howpublished = {FNEGE Médias, Video},
note = {Corporate venture capital (CVC) plays a pivotal role in driving innovation. Our study offers compelling evidence that integrating sustainability into CVC strategies benefits not only the environment but also enhances long-term financial performance. Through CVC programs, corporate parents innovate by creating and executing new business models, leveraging both incremental and radical innovation. The concept of ?innovation compensation? serves as a catalyst for encouraging corporations to adopt ecologically sustainable practices.
Our research investigates the influence of green innovation and environmental performance on the long-term success of U.S. CVC parent firms. Furthermore, we examine how corporate social responsibility (CSR) functions as a critical intermediary in this relationship.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Shuwaikh, Fatima
Towards Net Zero Emissions Divers
FNEGE Médias, Podcast, 2025.
@misc{shuwaikh_3470,
title = {Towards Net Zero Emissions},
author = {Fatima Shuwaikh},
url = {Fnege Médias : https://fnege-medias.fr/podcast/towards-net-zero-emissions/
Apple podcasts : https://podcasts.apple.com/fr/podcast/towards-net-zero-emissions/id1709340124?i=1000697896225
Deezer : https://www.deezer.com/fr/show/5666547
Spotify : https://open.spotify.com/episode/3LiyybZMcK84J2M8spXzMj},
year = {2025},
date = {2025-03-01},
howpublished = {FNEGE Médias, Podcast},
note = {orporate venture capital (CVC) plays a pivotal role in driving innovation. Our study offers compelling evidence that integrating sustainability into CVC strategies benefits not only the environment but also enhances long-term financial performance. Through CVC programs, corporate parents innovate by creating and executing new business models, leveraging both incremental and radical innovation. The concept of ?innovation compensation? serves as a catalyst for encouraging corporations to adopt ecologically sustainable practices.
Our research investigates the influence of green innovation and environmental performance on the long-term success of U.S. CVC parent firms. Furthermore, we examine how corporate social responsibility (CSR) functions as a critical intermediary in this relationship.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Josserand, Emmanuel; Sturdy, Andrew
Comment l'Australie a réduit les coûts (et l'influence) des cabinets de conseil Divers
The Conversation, 2025.
@misc{josserand_3469,
title = {Comment l'Australie a réduit les coûts (et l'influence) des cabinets de conseil},
author = {Emmanuel Josserand and Andrew Sturdy},
url = {https://theconversation.com/comment-laustralie-a-reduit-les-couts-et-linfluence-des-cabinets-de-conseil-249749},
year = {2025},
date = {2025-03-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Dornaika, Fadi; Bi, Jingjun; Charafeddine, Jinan
Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data Article de journal
Dans: Cognitive Computation, vol. 17, p. 73, 2025.
@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}
}
Gull, Ammar Ali; Iqbal, Umer; Ghafoor, Abdul; Ahmed, Ammad
Navigating the black box: board co-option and environmental innovation Article de journal
Dans: Journal of Accounting Literature, 2025.
@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}
}
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