Publication

@article{thatte_4055,

title = {The PAH 3.4 micron feature as a tracer of shielding in the Orion Bar and NGC 6240},

author = {Niranjan Thatte and Dimitra Rigopoulou and Fergus R Donnan and Ismael Garcia-Bernete and Miguel Pereira-Santaella and Bruce Draine and Oscar Veenema and Bouthéïna Kerkeni and Almudena Alonso-Herrero and Hermosa Muñoz Laura and Gabriela Speranza},

url = {https://doi.org/10.1093/mnras/staf2047},

year  = {2026},

date = {2026-11-01},

journal = {Monthly Notices Of The Royal Astronomical Society},

volume = {545},

number = {1},

pages = {1-10},

abstract = {We have carried out a detailed analysis of the 3.4 ?m spectral feature arising from Polycyclic Aromatic Hydrocarbons (PAH),

using James Webb Space Telescope archival data. For the first time in an external galaxy (NGC 6240), we have identified two

distinct spectral components of the PAH 3.4 ?m feature: a shorter wavelength component at 3.395 ?m, which we attribute to

short aliphatic chains tightly attached to the aromatic rings of the PAH molecules; and a longer wavelength feature at 3.405 ?m

that arises from longer, more fragile, aliphatic chains that are weakly attached to the parent PAH molecule. These longer chains

are more easily destroyed by far-ultraviolet photons (>5 eV) and PAH thermal emission only occurs where PAH molecules

are shielded from more energetic photons by dense molecular gas. We see a very strong correlation in the morphology of the

PAH 3.395 ?m feature with the PAH 3.3 ?m emission, the latter arising from robust aromatic PAH molecules. We also see an

equally strong correlation between the PAH 3.405 ?m morphology and the warm molecular gas, as traced by H2 vibrational

lines. We show that the flux ratio PAH 3.395/PAH 3.405 < 0.3 corresponds strongly to regions where the PAH molecules are

shielded by dense molecular gas, so that only modestly energetic UV photons penetrate to excite the PAHs. Our work shows that

PAH 3.405 ?m and PAH 3.395 ?m emission features can provide robust diagnostics of the physical conditions of the interstellar

medium in external galaxies, and can be used to quantify the energies of the photon field penetrating molecular clouds.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wladdimiro_4216,

title = {A Multi-Model Predictive Framework for Adaptive Resource Management in Stream Processing Systems},

author = {Daniel Wladdimiro and Nicolás Hidalgo and Alessio Pagliari and Luciana Arantes and Pierre Sens and Erika Rosas and Victor Reyes},

url = {https://doi.org/10.1016/j.future.2026.108461},

year  = {2026},

date = {2026-09-01},

journal = {Future Generation Computer Systems-The International Journal Of Escience},

volume = {182},

pages = {108461},

abstract = {Stream Processing Systems (SPSs) are designed to process continuous streams of events, often under highly variable input rates. Although prior work has explored dynamic operator replication, many existing approaches lack generalizability and perform suboptimally across diverse scenarios. In this article, we present MMP-SPS, a predictive self-adaptive framework that extends extends our prior PA-SPS system by introducing a multi-window control loop, support for multiple prediction models, and online model selection via RMSE-based evaluation and multi-armed bandits. Targeting environments with high-volume and fluctuating data streams, such as social media analytics and network traffic monitoring, the framework dynamically selects the most suitable model based on real-time workload characteristics using a reinforcement learning (RL) strategy. To prove the validity of our system, we deployed an implementation of MMP-SPS based on Apache Storm, and we evaluated it on Google Cloud Platform against real-world datasets. Experimental results show substantial improvements in latency, throughput, and resource utilization compared to static and single-model baselines. These findings underscore the potential of multi-model predictive adaptation for scalable and robust stream processing under dynamic conditions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{barletti_4279,

title = {Trend to equilibrium of the Wigner function describing a quantum particle subject to decoherence},

author = {Luigi Barletti and Francesco Salvarani},

url = {https://doi.org/10.1016/j.aml.2026.109944},

year  = {2026},

date = {2026-08-01},

journal = {Applied Mathematics Letters},

volume = {179},

pages = {109944},

abstract = {This paper studies the long-time behavior of a spatially homogeneous Wigner equation describing a quantum particle subject to decoherence. The model extends the classical Wigner-Fokker-Planck equation by including a general decoherence term derived from microscopic collision mechanisms. An explicit representation of the equilibrium state is obtained, and a

necessary and sufficient condition ensuring that the equilibrium state belongs to ?2 is established, highlighting the balance between friction and decoherence. Under suitable assumptions on the initial data, exponential convergence in L2 toward equilibrium is rigorously proved.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_4082,

title = {Well-posedness of coupled Navier-Stokes and advection-diffusion equations for propagation of reaction fronts in viscous fluids},

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

url = {https://doi.org/10.1016/j.cam.2025.117277},

year  = {2026},

date = {2026-08-01},

journal = {Journal Of Computational And Applied Mathematics},

volume = {481},

pages = {117277},

abstract = {In this paper, we investigate a steady system used for modelling propagation of reaction fronts in viscous fluids subject to a generalized Arrhenius law. The model consists of the incompressible Navier-Stokes equations for the fluid flow and a set of advection-diffusion equations for the temperature and degree of conversion. The resulting system is strongly coupled and presents many additional nonlinearities as the physical parameters such as the viscosity, diffusion and source terms are assumed to depend on the temperature and/or degree of conversion. Using a fixed-point method we prove the existence and uniqueness of the weak solution for the considered problem. To solve the associated fixed-point problem we consider an iterative scheme and its convergence is also studied in the present study. Here, the proposed scheme uncouples the computation of velocity, temperature and degree of conversion using the fixed-point iteration and we theoretically establish its convergence towards the unique solution of the considered model. Numerical results obtained for two test examples are presented to verify the theoretical analysis and to assess the performance of the proposed algorithm. The obtained computational results for both examples support the theoretical expectations for a good numerical convergence with the developed estimates.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shahab_4308,

title = {Do green firms select and terminate supply chain partners based on sustainability criteria? International evidence},

author = {Yasir Shahab and Ammar Ali Gull and Muzhar Javed and Tanveer Ahsan},

url = {https://doi.org/10.1016/j.ijpe.2026.110000},

year  = {2026},

date = {2026-07-01},

journal = {International Journal Of Production Economics},

volume = {297},

pages = {110000},

abstract = {The ?United Nations Global Compact? reiterates how important supply chain processes are for reaching sustainable growth targets. It points out that only eight supply chains contribute more than half of the world's greenhouse gas emissions. Thus, management of suppliers becomes crucial to meeting these goals. However, how green firms select and terminate their suppliers in response to mounting pressure of sustainability remains an area yet to be explored in operations management. To address these concerns, we investigate the data of listed firms from 38 countries over the 2002 to 2019 time-period. The results show that eco-friendly firms are more sensitive to sustainability practices of their suppliers while offering or terminating their contracts. Surprisingly, the stringency of environmental policy negatively moderates this relationship due to the substitution effect. Finally, we document that eco-innovative firms experience an increase in their market value when they select or terminate their supply chain partners based on sustainability criteria. The results offer vital theoretical and policy insinuations for the discipline of sustainable operations and supply chain management.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{benmoussa_4110,

title = {On the well-posedness of the unsteady velocity-vorticity-helicity formulation of the Navier-Stokes equations},

author = {K. Benmoussa and Jean Deteix and Driss Yakoubi},

url = {https://doi.org/10.1016/j.jmaa.2026.130421},

year  = {2026},

date = {2026-07-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {559},

number = {1},

pages = {130421},

abstract = {In this paper, we study the three-dimensional velocity-vorticity helicity (VVH) formulation modeling the flow of incompressible Newtonian fluids. We present an analysis of the formulation that encompasses the existence and regularity of solutions, providing a rigorous functional framework in which the VVH formulation is shown to be equivalent to the more traditional velocity-pressure formulation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el_ouadghiri_4297,

title = {Advancing corporate green innovation through science: The role of freedom of expression and NGOs},

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

url = {https://doi.org/10.1016/j.techfore.2026.124577},

year  = {2026},

date = {2026-05-01},

journal = {Technological Forecasting And Social Change},

volume = {226},

pages = {124577},

abstract = {We contribute to recent developments in Triple Helix model by examining the impact of environmental research output on corporate environmental innovation, with a particular emphasis on the role of government and civil society in shaping this relationship. Drawing on a large sample of 1781 companies across 42 countries from 2010 to 2023, we find that a greater volume of environment-related scientific research positively influences firms' capacity to develop environmental innovations. Two underlying mechanisms appear to explain this effect. First, environmental research plays a cognitive role by facilitating the diffusion of scientific knowledge that is essential for environmental innovation. Second, scientific output exerts a normative institutional influence, guiding organizational behavior toward greater sustainability. We further show that these dynamics are strengthened by the moderating effects of freedom of expression and the presence of environmental NGOs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{benlemlih_4296,

title = {Public Attention to Gender Equality and Stock Market Returns},

author = {Mohammed Benlemlih and Imane El Ouadghiri and Jamil Jaballah and Jonathan Peillex},

url = {https://doi.org/10.1111/gwao.70095},

year  = {2026},

date = {2026-05-01},

journal = {Gender Work And Organization},

volume = {33},

number = {3},

pages = {900-918},

abstract = {We examine the potential relationship between public attention to gender equality and returns on two U.S. gender-diversity stock indices (the MSCI USA Women's Leadership and the Morningstar Women's Empowerment index) in comparison to their traditional counterparts (the MSCI USA and the Morningstar USA index) over the 2017?2022 period. We consider several measures of public attention to gender equality: (1) the U.S. daily Google Search Volume Index for different keywords related to gender equality, (2) the number of daily visits to specific Wikipedia pages devoted to gender equality, and (3) the daily number of news stories related to this phenomenon. We find a positive association between public attention to gender equality and returns on U.S. gender-diversity stock indices. We attribute this result to an increasing investor preferences for owning stocks of companies that promote gender diversity in the workplace during periods of high public attention to gender equality. This finding, which is robust to a battery of alternative estimation methods and proxies, offers important managerial and public policy implications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{seyfi_4215,

title = {Unpacking women's tourism work in a sanctioned destination},

author = {Siamak Seyfi and Albert Nsom Kimbu and Seyedasaad Hosseini and Tan Vo-Thanh and Mustafeed Zaman},

url = {https://doi.org/10.1016/j.annals.2026.104152},

year  = {2026},

date = {2026-05-01},

journal = {Annals Of Tourism Research},

volume = {118},

pages = {104152},

abstract = {This study examines how international economic sanctions reshape women's work and livelihoods in Iran's tourism sector through the theoretical lens of feminist political economy. Drawing on interviews conducted in two phases around 2018 and again in 2024, the study unveils how sanction pressures operate across macro, meso, and micro levels, giving rise to three interrelated processes: gendered economic scarring, whereby sanctions deepen women's labour exclusion; sanction-driven informalisation, through which economic risk is shifted from institutions to women's insecure work; and a political economy of survival, in which women's adaptive labour sustains households without producing empowerment. By reconceptualising sanctions as longterm pressures on tourism economies, the study extends research on tourism crises, labour relations, and gendered inequality in crisis-ridden destinations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wang_4202,

title = {SCS-SupCon: Sigmoid-based common and style supervised contrastive learning with adaptive decision boundaries},

author = {Bin Wang and Fadi Dornaika and Jinan Charafeddine},

url = {http://dx.doi.org/10.1016/j.eswa.2026.131308},

year  = {2026},

date = {2026-05-01},

journal = {Expert Systems With Applications},

volume = {311},

pages = {131308},

abstract = {Image classification can be inherently challenging due to subtle inter-class differences and substantial intra-class

variations, limiting the effectiveness of existing contrastive learning approaches. In particular, supervised con-

trastive methods based on the InfoNCE loss often suffer from the negative-sample dilution issue and lack explicit

mechanisms for adaptive decision-boundary control, significantly weakening their discriminative capability on

fine-grained image classification tasks. To address these challenges, we propose a novel supervised contrastive

learning framework, termed Sigmoid-based Common and Style Supervised Contrastive Learning (SCS-SupCon). In

this framework, we introduce a sigmoid-based pairwise contrastive loss with adaptive decision boundaries, explic-

itly parameterized by learnable temperature and bias terms. This design places greater emphasis on critical dis-

criminative information from hard negatives, thereby alleviating the problem of negative-sample dilution while

fully leveraging supervision signals in contrastive learning. Furthermore, we incorporate an explicit style-distance

constraint to disentangle style and content representations, leading to more robust and discriminative feature

learning. Comprehensive experiments on six benchmark datasets, including prominent fine-grained datasets such

as CUB200-2011 and Stanford Dogs, consistently demonstrate that our proposed SCS-SupCon achieves superior

performance over the most closely related InfoNCE-based supervised contrastive baselines (SupCon, SelfCon, CS-

SupCon and its overlapping variant) across diverse CNN and Transformer backbones. In particular, on CIFAR-100

with a ResNet-50 encoder, SCS-SupCon improves the mean top-1 accuracy over SupCon by about 3.9 percent-

age points and over CS-SupCon by about 1.7 percentage points under a five-fold cross-validation protocol. On

challenging fine-grained datasets such as CUB200-2011 and Stanford Dogs with both CNN and Transformer

architectures, our method achieves absolute improvements of approximately 0.4-3.0 percentage points over CS-

SupCon. Extensive ablation studies and paired statistical tests further confirm the robustness and effectiveness

of our framework, and a Friedman test with Nemenyi post-hoc analysis shows that SCS-SupCon attains the best

average rank among the evaluated methods, even though pairwise differences with other strong competitors are

not always statistically significant at the 0.05 level.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boukattaya_4311,

title = {From Compensation to Circularity: CSR Contracting, Eco-Innovation, and Waste Management},

author = {Sonia Boukattaya and Nadia Lakhal and Faten Lakhal and Olfa Berrich},

url = {https://doi.org/10.1002/csr.70598Digital Object Identifier (DOI)},

year  = {2026},

date = {2026-04-01},

journal = {Corporate Social Responsibility And Environmental Management},

pages = {1-15},

abstract = {This study explores the effect of corporate social responsibility (CSR)-related compensation or CSR contracting where executive compensation is tied to environmental, social, and governance (ESG) targets on waste management strategies. It also investigates the role of eco-innovation in shaping CSR contracting-waste management relationships. Using an international panel of 10,886 firm-year observations across 43 countries from 2011 to 2022, we show that CSR contracting is associated with decreased waste generation and increased waste recycling. By tying executive compensation to sustainability metrics, firms create stronger incentives for managers to prioritize resource efficiency and circular economy practices. This effect is accentuated in environmentally innovative firms indicating that CSR contracting is particularly effective when embedded within a broader organizational commitment to innovation strategies. Further analyses show that the effect is also stronger for hazardous waste, in firms with CSR committees and following the implementation of sustainable development goals (SDGs) in 2015. This study provides insights into CSR contracting effectiveness and highlights its potential to complement regulatory policies. The results have implications for corporate boards, policymakers, and stakeholders aiming to embed sustainability into strategic and managerial systems.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{wang_4305,

title = {Multi-Agent Transformer Learning for Moving Target Positioning and Tracking in Complex Environments Using UAV Swarms},

author = {Haowen Wang and Junyu Wei and Ni ZHU and Zongqing Zhao and Zhuoyuan Wu and Shiqi Li and Yuyang Xiao and Jiangyi Qin and Zhiqiang Wang},

url = {https://ieeexplore.ieee.org/document/11478047/keywords#keywords},

year  = {2026},

date = {2026-04-01},

journal = {Ieee Transactions On Intelligent Transportation Systems},

pages = {1-17},

abstract = {This paper presents a novel approach that integrates Time Difference of Arrival (TDOA)-based positioning with Multi-Agent Reinforcement Learning (MARL) to enhance the performance of Unmanned Aerial Vehicle (UAV) swarms in tracking and locating a moving ground target within complex environments. To ensure optimal target assignment, we employ the Hungarian algorithm, enabling each UAV to track a designated target and maintain a spatial formation that minimizes the geometric dilution of precision (GDOP). The coordinated behavior of the UAV swarm is then formulated as a partially observable Markov decision process (POMDP), where a Multi-Agent Transformer (MAT) model, built upon the multi-agent advantage decomposition theorem, is employed to map UAV observations to coordinated actions effectively. Finally, the UAVs adjust their trajectories based on the generated actions to improve positioning accuracy, avoid obstacles, and conserve energy. Through extensive simulations, the proposed approach demonstrates its effectiveness in continuously and accurately tracking a moving target, even in dynamic and challenging environments.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{borsoni_4278,

title = {A kinetic model for polyatomic gas with quasi-resonant collisions leading to bi-temperature relaxation processes},

author = {Thomas Borsoni and Laurent Boudin and Mathiaud Julien and Francesco Salvarani},

url = {https://doi.org/10.1051/m2an/2026008},

year  = {2026},

date = {2026-04-01},

journal = {ESAIM: Mathematical Modelling and Numerical Analysis (ESAIM: M2AN)},

volume = {60},

number = {2},

pages = {473-494},

abstract = {In this article, we extend the Boltzmann framework for polyatomic gases by introducing quasi-resonant kernels, which relax resonant interactions, for which kinetic and internal energies are separately conserved and lead to equilibrium states with two temperatures. We establish an H-theorem and analyze the quasi-resonant model's asymptotic behaviour, demonstrating a two-phase relaxation process: an initial convergence towards a two-temperature Maxwellian state followed by gradual relaxation of the two temperatures towards each other. Numerical simulations validate our theoretical predictions. The notion of quasi-resonance provides the first rigorous framework of a Boltzmann dynamics for which the distribution is at all times close to a multi-temperature Maxwellian, relaxing towards a one-temperature Maxwellian.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{saeed_4298,

title = {Critical Materials Import and Environmental Preferences: Evidence From G20 and N11 Economies},

author = {Asif Saeed and Atif Iqbal and Faisal Saeed Malik},

url = {https://doi.org/10.1002/bse.70793},

year  = {2026},

date = {2026-04-01},

journal = {Business Strategy And The Environment},

pages = {1-18},

abstract = {Critical materials such as lithium and cobalt are indispensable for achieving the United Nations' Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action). While these materials enable the deployment of low-carbon technologies, including electric vehicle batteries and renewable energy systems, they also present environmental, socio-economic, and geopolitical challenges due to their carbon-intensive extraction and global trade dynamics. This study employs a 20-year panel dataset from G20 and N-11 countries to investigate the relationship between critical material imports and national environmental performance, focusing on CO2 emissions, GHG emissions, and embodied carbon in exports. Grounded in the dynamic capabilities framework, the research examines how countries reconfigure institutional arrangements, deploy circular economy strategies, and leverage innovation to balance sustainability goals with critical material dependencies. The findings reveal that lithium and cobalt imports contribute to improved environmental outcomes when accompanied by strong national-level dynamic capabilities, highlighting the importance of policy integration, technological adaptation, and resource efficiency in advancing national sustainability strategies.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{muhammad_4269,

title = {When perceived coworker respect invigorates the moral and productive fallout of supervisor ostracism?},

author = {Azeem Muhammad and Muhammad Khan and Inam Ul Haq and Sharif Imran},

url = {https://doi.org/10.1111/apps.70078},

year  = {2026},

date = {2026-04-01},

journal = {Applied Psychology-An International Review-Psychologie Appliquee-Revue Internationale},

volume = {75},

number = {2},

pages = {e70078},

abstract = {Drawing on the moral disengagement perspective, this study investigates how and when supervisor ostracism disrupts employees' moral self-regulation process.

Across two studies?a three-wave, multisource field

survey and a vignette-based experiment?we demonstrate that supervisor ostracism is psychologically painful and morally threatening, prompting employees to disengage morally and subsequently steering them toward delaying work tasks. Notably, this effect is particularly

pronounced among employees who receive

higher levels of peer respect. In such contexts, supervisory exclusion violates their moral expectations and sense of social dignity more acutely, intensifying disengagement.

Findings from both studies confirm that supervisor ostracism triggers moral disengagement, which, in turn, thwarts employees' ability to meet work

deadlines. The results extend the moral disengagement perspective to the domain of supervisory exclusion and offer practical guidance for fostering ethical, respectful, and inclusive workplaces.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vo-thanh_4217,

title = {Projected Versus Organic: Mapping Destination Image Congruence},

author = {Tan Vo-Thanh and Duc Sinh Hoang and Thi Nhu Hoa Nguyen and Van Ha Luong and Mustafeed Zaman and Erose Sthapit},

url = {https://doi.org/10.1002/jtr.70229},

year  = {2026},

date = {2026-04-01},

journal = {International Journal Of Tourism Research},

volume = {28},

number = {2},

pages = {e70229},

abstract = {This study analyzes the alignment of three distinct images?Overt Induced I, Overt Induced II, and Organic?pertaining to a tourism destination. Using a comprehensive content analysis of various sources, including strategic marketing materials from the Vietnam National Authority of Tourism, promotional brochures from leading tour operators, and user-generated content from platforms such as Booking.com, TripAdvisor, Routard, and Lonely Planet, the data reveal significant congruence among these three images. Vietnam is represented as a destination that is rich in cultural, historical, and coastal attractions, which closely resonate with the perceptions of French tourists and influence their intentions to revisit or recommend the destination. This congruence supports the expectancy-confirmation theory, underscoring that satisfaction is achieved when actual experiences align with or exceed expectations. Furthermore, the study identifies specific areas where the promotion of certain attributes could be enhanced, suggesting opportunities for effective destination branding.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ye_4267,

title = {Sales forecast of new energy vehicles in China based on multi-source information fusion and link prediction},

author = {Shunqinag Ye and Xiaoman Zhao and Duc Khuong Nguyen and Jinpei Liu},

url = {https://doi.org/10.1016/j.jenvman.2026.129359},

year  = {2026},

date = {2026-04-01},

journal = {Journal Of Environmental Management},

volume = {404},

pages = {129359},

abstract = {This study develops an integrated forecasting framework that leverages multi-source information fusion to improve predictions of new energy vehicle (NEV) sales in China. The dataset incorporates historical sales records, key influencing factors, and unstructured Baidu Index (BI) data. Our framework first applies complementary ensemble empirical mode decomposition with adaptive noise (CEEMDAN) combined with sample entropy (SE) reconstruction. This procedure decomposes the original sequences into high-, medium-, and low-frequency components, yielding data that are more regular and informative while retaining underlying dynamics. Forecasting is then conducted through a structured combination of methods tailored to each frequency band. High-frequency components are modeled by converting the time series into directed visibility graphs (DVGs) and performing prediction as a link-prediction task on the resulting complex networks, implemented using a particle-swarm-optimized support vector regression (PSO-SVR) model. Medium- and low-frequency components are predicted using backpropagation neural networks (BPNN) and Lasso regression, respectively. Empirical evaluations show that integrating multi-source information, CEEMDAN-SE decomposition, DVG-based modeling, and frequency-specific predictors substantially improves forecasting accuracy compared with benchmark approaches. The findings show the potential evolution of China's NEV market and highlight the drivers of sales dynamics, providing evidence to inform policy formulation and sectoral strategic planning.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ghafoor_4309,

title = {Executive compensation clawbacks and corporate climate engagement},

author = {Abdul Ghafoor and Yasar Bayraktar and Ammar Ali Gull and Mirzet ?eho},

url = {https://doi.org/10.1108/JAL-02-2025-0053},

year  = {2026},

date = {2026-03-01},

journal = {Journal of Accounting Literature},

pages = {1-28},

abstract = {Purpose



The purpose of this study is to investigate how the adoption of executive compensation clawbacks affects the climate engagement initiatives of firms listed in the US Based on agency theory, we test two competing arguments - (1) the proactive risk management view and (2) the excessive caution view - to examine whether clawback provisions improve or constrain corporate climate engagement efforts.

Design/methodology/approach



Our sample includes firms listed in the US from 1996 to 2017. We measure corporate climate engagement by creating a Climate Engagement Index (CINDEX) based on four variables: (1) the appointment of sustainability executives, (2) Carbon Disclosure Project reporting, (3) climate-related lobbying and (4) pro-climate coalition membership. To investigate causality and mitigate possible endogeneity issues, we employ several empirical methods, including propensity score matching, instrumental variable regression and a battery of robustness tests.

Findings



Our results support the proactive risk management view. We find that clawback provisions increase corporate climate engagement. Specifically, firms adopting clawback provisions exhibit an increase in climate engagement of approximately 0.12 standard deviations relative to firms without such provisions. Furthermore, we show that the positive effect of clawback provisions persists across both environmentally sensitive and non-sensitive industries, as well as in firms with or without ESG-linked compensation policies. Finally, we document that climate engagement initiatives driven by clawback provisions reduce firms' exposure to climate change risks.

Practical implications



Our results have practical implications, showing that clawback provisions are valuable governance tools that promote corporate climate engagement and help mitigate climate-related risks. Boards, managers and investors should consider clawbacks not only as safeguards against misconduct but also as mechanisms to align executive incentives with environmental objectives. Policymakers and regulators have a clear role in incorporating clawback provisions into sustainability frameworks to strengthen corporate accountability and support long-term climate goals.

Originality/value



Our study extends the existing literature on clawback provisions beyond financial outcomes by linking them to corporate sustainability. We identify clawback provisions as a key governance mechanism for promoting climate engagement and demonstrate their effectiveness across various organizational contexts. This contributes to a deeper understanding of how compensation-based governance mechanisms affect environmental performance.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{francoeur_4300,

title = {Does Climate Risk Affect Employment Decisions? International Evidence},

author = {Claude Francoeur and Faten Lakhal and Hamza Nizar and Zvi Singer},

url = {https://doi.org/10.1002/bse.70810},

year  = {2026},

date = {2026-03-01},

journal = {Business Strategy And The Environment},

pages = {1-26},

abstract = {This study investigates the effect of climate risk on corporate employment decisions. Using a large sample from 41 countries, we find a positive association between climate risk and underinvestment in labor, notably manifesting as excessive employee layoffs. This indicates that climate risk leads to suboptimal employment decisions through labor cost reduction to mitigate the impact on firm performance. However, firms with higher commitment to social responsibility exhibit less suboptimal underinvestment in their workforce. Finally, we find that companies with greater financial constraints, those operating in highly polluting sectors, and those in countries with weak investor protection are more likely to underinvest in labor. Our study underscores the necessity for managers to integrate climate risk considerations into strategic planning to avoid suboptimal labor investments, whereas regulators are urged to enforce transparent climate risk disclosures and encourage CSR initiatives for sustainable employment practices.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{khirallah_4287,

title = {Rheological properties and particle visualization of carbon dioxide hydrate slurries in the presence of ethanol for secondary refrigeration systems},

author = {Rihab Khirallah and Yasmine Salehy and Sébastien Saavedra and Pascal Clain and Véronique Osswald and Laurence Fournaison and Anthony Delahaye},

url = {https://doi.org/10.1016/j.ces.2026.123892},

year  = {2026},

date = {2026-03-01},

journal = {Chemical Engineering Science},

volume = {330},

pages = {123892},

abstract = {In secondary refrigeration systems, CO2 hydrate slurries serve as phase-change materials, helping to reduce the amount of primary refrigerant. Hydrates absorb heat from the ambient during their endothermic dissociation. This characteristic makes them effective for maintaining low temperatures and reducing temperature variations across heat exchangers, thereby improving the energy efficiency of cooling systems. Recent studies assessing industrial performance have shown that CO2 hydrate slurries could be well-suited for air-conditioning applications. However, for refrigeration systems dedicated to food preservation, hydrate slurries must remain stable at lower temperatures. This paper aims to investigate the conditions necessary for using hydrate slurries in such applications, focusing on temperature stability and flow properties. Specifically, characterizing the rheology of hydrate slurries is essential to understand their behavior during cold transport and to optimize pumping power. Accordingly, the rheological characterization of CO2 hydrate slurries in a loop was implemented using an Ostwald viscometer, in order to study rheological parameters. In this study, aqueous solution containing ethanol is used to form hydrates in order to modify the set-point temperature and adjust pumping power requirements. The results showed that CO2 hydrate slurries with ethanol were able to form and remain stable in flow at moderate pressure (>2 MPa) and equilibrium is reached at a temperature about 273.65 K, lower than the temperature of CO2 hydrates, and with comparable rheological properties. In addition, flow visualization is presented to illustrate the hydrate slurry formation phase and to identify the optimal time during experiments to perform rheological measurements.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{gautron_4271,

title = {Field-deployable coffee yield estimation from mobile phone images using branch segmentation and occlusion correction},

author = {Romain Gautron and Mathieu Seurin and Eric Rahn and Emile Faye and Christian Bunn},

url = {https://doi.org/10.1016/j.atech.2026.101901},

year  = {2026},

date = {2026-03-01},

journal = {Smart Agricultural Technology},

volume = {13},

pages = {101901},

abstract = {Accurate coffee yield estimation is critical for crop management, labor and financial planning, and value-chain transparency, including compliance with the EU Deforestation Regulation. However, manual cherry counting remains labor-intensive, error-prone, and unreliable as worker fatigue sets in, highlighting the need for automated, scalable alternatives. This study introduces a novel deep-learning framework for automated coffee cherry counting using images captured with low- to mid-range smartphones across diverse smallholder farming contexts. The pipeline combines automated branch segmentation, cherry detection, and a regression-based correction module to account for occluded cherries, accommodating different data-capture modalities. We evaluated the framework on 7025 annotated images from Colombia, Peru, Honduras, and Uganda, covering both Coffea arabica and Coffea canephora (Robusta) coffee species. Under optimal image-capture conditions (i.e., full background isolation), the model achieved high accuracy, reaching an R2 of up to 0.96 and reducing the Mean Absolute Percentage Error (MAPE) to as low as 10% at the plot level, outperforming state-of-the-art methods. By reducing manual effort and addressing real-world constraints in smallholder settings, this approach offers a strong foundation for scalable coffee yield estimation. Future research should prioritize human-centered design validation and detailed cost-benefit analyses to support widespread adoption and long-term sustainability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{taieb_4286,

title = {Online live streaming interaction: Development and validation of a measurement scale},

author = {Basma Taieb and Jean-Éric Pelet and Xuemei Sun},

url = {https://doi.org/10.1108/IJRDM-01-2025-0044},

year  = {2026},

date = {2026-03-01},

journal = {International Journal Of Retail & Distribution Management},

pages = {1-16},

abstract = {Purpose

Live streaming commerce is an emerging shopping channel that facilitates real-time, two-way interaction not only between consumers and vendors, but also among consumers. This study conceptualizes Online Live Streaming Interaction (OLSI) as a multidimensional construct, grounded in social presence theory, and develops a measurement tool that captures the unique dynamics of interactions in live streaming environments.

Design/methodology/approach

The study follows a rigorous, four-step process for scale development and validation. Inductive and deductive methods were employed for item generation. Quantitative data were then collected from 394 Chinese participants and 159 French participants, ensuring cross-cultural relevance. The data were analyzed using exploratory and confirmatory factor analyses to assess the reliability and validity of the scale.

Findings

The results establish the OLSI scale as a multidimensional construct encompassing six key dimensions: online discussion engagement, streamer-viewer interactions, preference for online social interactions, communication effectiveness for streamers, online interaction propensity, and perceived value of the online community. 

Originality

This study provides a comprehensive framework for understanding the unique interaction dynamics within live streaming commerce and offers a robust measurement tool for future research. 

Research limitations/implications

This study's primary limitation is its limited exploration of nomological validity, future research should investigate the relationships between the OLSI dimensions and behavioural outcomes (e.g., purchase intention, satisfaction, loyalty). 

Practical implications 

The findings provide practical insights for managers and enable them to develop content and engagement strategies that align with audience preferences; this will lead to both an optimization of communication and enhancement of viewer experiences.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{sharifi-tehrani_4242,

title = {Between Restriction and Resource: Social Capital and Women's Informal Tourism Entrepreneurship in Impoverished Contexts},

author = {Mohammad Sharifi-Tehrani and Siamak Seyfi and Tan Vo-Thanh and Mustafeed Zaman},

url = {https://doi.org/10.1177/00472875261428107},

year  = {2026},

date = {2026-03-01},

journal = {Journal Of Travel Research},

abstract = {This article aims to examine whether and how women informal tourism entrepreneurs in poor rural destinations in Iran adopt different strategies to access financial and non-financial resources. Drawing on constructivist grounded theory and in-depth interviews, two groups of participants were identified with contrasting social orientations toward social capital and gendered constraints. These orientations shape their positioning along the necessity-opportunity entrepreneurship continuum. Through abductive analysis, the study integrates a social capital perspective with an entrepreneurship typology to develop a theoretical model explaining transitions between informal-formal and necessity-opportunity modes. The findings contribute to a dualistic understanding of social capital, highlighting how internal mindsets are shaped by and respond to traditional gender norms in influencing entrepreneurial behavior.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{ruel_4229,

title = {A taxonomy of supply chain resilience},

author = {Salomée Ruel and George A. Zsidisin and Jennifer BLACKHURST},

url = {https://doi.org/10.1080/00207543.2026.2645249},

year  = {2026},

date = {2026-03-01},

journal = {International Journal Of Production Research},

abstract = {Global supply chains (SCs) are increasingly exposed to disruptions that challenge their ability to adapt and recover, making Supply Chain Resilience (SCRes) a key concern for scholars, educators, and practitioners. Yet, despite its prominence, the concept remains theoretically fragmented, with numerous definitions and typologies that may obscure rather than clarify its meaning in practice. This study addresses this theoretical and practical dilemma by investigating how SC professionals themselves conceptualise and operationalise SCRes. Drawing on an open-ended survey of 51 practitioners across diverse industries, the data were analysed through iterative deductive and inductive coding to identify shared patterns and themes. As a result, the study develops an empirically grounded taxonomy of SCRes comprising three interrelated dimensions, namely: adaptive capacity, structural agility, and transformative learning. This taxonomy is an original contribution that advances theory by reconciling divergent conceptual perspectives, resulting in a practical decision aid to diagnose and prioritise SCRes investments in production and logistics systems. This study offers managers actionable guidance for embedding resilience in SC strategy and operations, and provides educators with a framework to better prepare future SC professionals for managing disruptions in vulnerable, uncertain, complex and ambiguous environments.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{murat_4262,

title = {Broker network connectivity and the cross-section of expected returns},

author = {Tiniç Murat and Ahmet Sensoy and Demir Muge and Duc Khuong Nguyen},

url = {https://doi.org/10.1007/s10479-026-07082-4},

year  = {2026},

date = {2026-03-01},

journal = {Annals Of Operations Research},

abstract = {We examine the systematic impact of broker network connectivity on future returns in an order-driven market. For all stocks traded in Borsa Istanbul between March 2005 and November 2015, we estimate network density, reciprocity, and average weighted clustering coefficients as proxies for the broker network connectivity. Our results indicate a negative and significant predictive relationship between connectivity and one-month ahead returns. Stocks in the lowest connectivity quintile earn 1.2% - 1.8% monthly return premiums. We further identify an economic mechanism as to why investors demand a premium for holding stocks with sparse broker networks through intraday panel regressions. Our results suggest that broker connectivity is associated with lower adverse selection risks, even for order-driven markets where intermediaries are assumed to be passive agents.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{nourallah_4261,

title = {Financial robo-advisors: A scoping review and future research directions},

author = {Mustafa Nourallah and Peter Öhman and Thomas Walther and Duc Khuong Nguyen},

url = {https://doi.org/10.1016/j.jbef.2026.101158},

year  = {2026},

date = {2026-03-01},

journal = {Journal of Behavioral and Experimental Finance},

volume = {49},

pages = {101158},

abstract = {Financial robo-advisors (FRAs) enable households with a limited amount of money to participate in financial markets without time or place constraints. While FRAs can help investors overcome behavioural biases, they also have disadvantages, such as reliance on a limited number of inputs and a lack of individualization. We conduct a scoping literature review of the nascent research on FRAs to synthesize previous research results. We identify two streams of literature: (1) asset management, which focuses on designing FRAs and improving the functioning of these machine advisors, and (2) behavioural finance, which investigates technology adoption and issues concerning biased advice. Among other topics, future research should address why FRAs do not appeal to less financially literate people, who would likely benefit more than others from using them.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{panibratov_4253,

title = {Host country distance and unrealized cross-border merger and acquisition deals: perspectives from China and Russia},

author = {Andrei Panibratov and Liubov Ermolaeva and Jane Menzies and Justin Paul and Rohail Hassan},

url = {https://doi.org/10.1108/MBR-10-2023-0163},

year  = {2026},

date = {2026-03-01},

journal = {Multinational Business Review},

pages = {1-25},

abstract = {Abstract

Purpose - The purpose of this study is to examine how institutional distance impacts unrealized cross-border mergers and acquisitions (CBMAs) deals of firms from China and Russia after they have been rumored. Prior

research on CBMAs has acknowledged that only a small percentage of all evaluated target firms are acquired. Using institutional distance theory, the authors contribute to the research literature by examining the institutional distance relating to the regulative, normative and cognitive institutional distance between China

and Russia and their respective host countries to identify the determinants of unrealized CBMA deals after they have been rumored.

Design/methodology/approach - The authors test hypotheses using data on CBMA rumors by examining a sample of CBMA deals by Chinese and Russian multinational enterprises from January 2003 to December 2019.

Findings - For Russia and China, rumored deals are less likely to remain unrealized in host countries with higher business and investment freedom than in the acquiring country (China or Russia). Rumored deals are

less likely to be unrealized in host countries with lower corruption levels than in the acquiring country. Greater cultural distance between the home and host countries increases the likelihood of unrealized deals.Originality/value - The authors make a unique contribution to the literature, as no prior studies have investigated the influence of institutional distance on unrealized rumored CBMA deals, particularly in the

comparison of Chinese and Russian multinational enterprises.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{guerard_3942,

title = {Research LLM: Using Large Language Models as a Research Companion},

author = {Guillaume Guérard and Sonia Djebali and Maxime Hanus and Mark-Killian Zinenberg},

url = {https://doi.org/10.31803/tg-20250827131608},

year  = {2026},

date = {2026-03-01},

journal = {Tehnicki Glosnik - Technical Journal},

volume = {20},

number = {1},

pages = {118-125},

abstract = {Large Language Models (LLM) are increasingly used as research companions, yet guidance for effective and responsible integration into scholarly workflows remains under-specified. This paper presents a three-stage, human-in-the-loop framework supporting (i) proposal development, (ii) research design, and (iii) manuscript preparation. Each stage operationalizes a toolbox of prompting and verification techniques?Context-Grounded Prompting, Graph-of-Thought, Self-Consistency, Contrastive Chain-of-Thought, and Chain-of-Verification?paired with explicit human checkpoints. The framework is instantiated in a case study on mitigating intersectional bias in hiring models, with detailed datasets, objectives, and evaluation metrics, and an exploratory pilot in which Master's students apply the pipeline to thesis proposals. Results indicate that structured prompting improves traceability and broadens the set of considered alternatives, while verification steps curb overconfident errors. Prompts, artifacts, and rubrics are made available to support replication. The paper concludes with guidance on ethical deployment and limitations, emphasizing the primacy of human judgment in validating claims and shaping scholarly contributions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gaaya_4255,

title = {What about the firm's exposure to climate risk? Balancing carbon performance and tax avoidance practices},

author = {Safa Gaaya and Mouna Hamza and Faten Lakhal},

url = {DOI: 10.1504/IJAAPE.2025.10072987},

year  = {2026},

date = {2026-03-01},

journal = {International Journal of Accounting, Auditing and Performance Evaluation},

pages = {1-26},

abstract = {This paper examines the association between a firm's carbon

performance and tax avoidance. It also sheds new light on the role of climate

risk exposure on this relationship. Based on a sample of USA firms from 2005

to 2021, our finding reveals that firms with stronger carbon performance are

less likely to engage in tax avoidance, suggesting that firms that prioritise

reducing their carbon footprint are also committed to maintaining compliance

with tax regulations, supporting the stakeholder perspective. The results also

document that the negative association between carbon performance and tax

avoidance holds only during lower climate risk exposure, suggesting that

under heightened climate exposure companies focus on climate-related

concerns, making tax avoidance a lower priority. Additional evidence reveals

that high-polluting firms are more incentivised to enhance carbon performance

to respond to institutional pressure, leading to lower tax avoidance levels.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{qing_4254,

title = {Can Digital Technology Adoption Drive a ?Win-Win? in Corporate Financial Sustainability and Energy Performance? The Role of Chief Digital Officers},

author = {Qing Qing and Pin Shen and Tomas Bale?entis and Fawaz Baddar Al Hussan and Zhiyang Shen},

url = {https://doi.org/10.1002/bse.70671},

year  = {2026},

date = {2026-03-01},

journal = {Business Strategy And The Environment},

pages = {1-22},

abstract = {This study investigates whether digital technology adoption can drive both sustainable financial performance and enhanced corporate energy efficiency, which has received limited attention in previous research. Grounded in dynamic capability theory and upper echelons theory, and utilizing a two-way fixed-effects regression model, this study analyzes panel data from publicly listed Chinese firms from 2010 to 2022. We assess the ?win-win? potential of digital technology adoption on financial and energy outcomes, with a focus on the moderating role of chief digital officers. The results demonstrate that digital technology adoption generates concurrent gains in financial sustainability and energy efficiency, and that the presence of a chief digital officer substantially strengthens these effects. Robustness and endogeneity assessments support these findings. We further identify financing

constraints and green technological innovation as mediating channels through which digital technology adoption promotes dual improvements in financial and energy outcomes. Heterogeneity tests indicate stronger effects among larger firms, non-heavy polluting enterprises, and firms located in central regions of China. These findings highlight the strategic value of digital

technology in advancing financial sustainability and corporate energy efficiency, promoting broader corporate commitment to digital transformation.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{zighan_4182,

title = {The Double-Edged Sword of Entrepreneurial Orientation and Unforeseen Outcomes in the Gulf Cooperation Council Countries},

author = {Saad ZIGHAN and Salomée Ruel and Léo-Paul Dana},

url = {https://doi.org/10.1108/JEC-12-2024-0255},

year  = {2026},

date = {2026-03-01},

journal = {Journal of Enterprising Communities: people and places of global economy},

abstract = {Purpose - The purpose of this study is to explore the unintended consequences of entrepreneurial orientation

(EO), emphasizing its context-dependent nature, particularly within the unique cultural, regional and

institutional environment of the Gulf Cooperation Council (GCC). This study applies the Paradox Theory to

explore the dualities inherent in EO, aiming to uncover its adverse consequences and identify strategies to

mitigate these effects while enhancing positive outcomes.

Design/methodology/approach - This study uses a qualitative approach, conducting in-depth interviews

with 38 managers from diverse industries across GCC countries.

Findings - This study finds that EO fosters innovation, adaptability and an entrepreneurial mindset, enabling

organizations to maintain a competitive edge. However, EO's core dimensions present paradoxes that create

organizational tensions: Innovativeness vs Stability, Risk-taking vs Safety, Proactiveness vs Decision

Paralysis, Competitive Aggressiveness vs Internal Harmony and Autonomy vs Alignment. These dualities

reflect the complex interplay between traditional values and modern entrepreneurial aspirations in the GCC,

demonstrating context-specific EO practices and paradoxes.

Practical implications - Organizations must implement a structured, context-aware approach to

mitigate the unintended consequences of EO in the GCC. Effective solutions require strategic

communication, prioritization mechanisms, structured decision-making, balanced risk management and

inclusive leadership pipelines. These efforts must be tailored to the GCC's unique socio-economic and

cultural dynamics.

Social implications - EO in the GCC has significant social implications because of its intersection with

traditional values, centralized governance and the reliance on expatriates. It can challenge hierarchical norms,

strain social cohesion and risk excluding marginalized groups, especially women and expatriates. EO may

reinforce inequalities and lead to burnout without inclusive, culturally sensitive approaches. Balancing

innovation with respect for local customs and employee well-being is essential to ensure socially sustainable

entrepreneurial development in the region.

Originality/value - By extending the Paradox Theory to the entrepreneurial domain, this research provides a

nuanced understanding of EO's paradoxical nature. This study highlights how cultural collectivism,

hierarchical structures and institutional constraints influence the implementation and impact of EO. Focusing

on the GCC context, this study offers valuable insights for organizations operating in similar economic and

cultural environments.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{du_4028,

title = {Sequentiality and Simultaneity in R&D Collaboration With Multiple Partner Types: Complexity and Managerial Resource Constraints in R&D Projects},

author = {Jingshu Du and Rene Belderbos and Bart Leten and Wim Vanhaverbeke},

url = {https://doi.org/10.1111/radm.70037},

year  = {2026},

date = {2026-03-01},

journal = {R & D Management},

volume = {56},

number = {2},

pages = {410-423},

abstract = {R&D collaborations involving multiple types of partners have the potential to generate impactful innovations but also pose significant coordination challenges. Taking a coordination perspective, this study develops and tests a theoretical framework

on the optimal temporal coordination of partner relationships in such collaborations. We argue that the effective coordination of multiple types of collaboration partners in R&D projects requires a balanced approach, combining episodes of simultaneous involvement of all partners with periods of sequential engagement with individual partners. Moreover, we propose that the relative emphasis on simultaneous versus sequential involvement depends on project-specific factors, including the complexity of technology development and the availability of managerial resources. Our analysis of 454 R&D projects undertaken by a

major European electronics firm, in collaboration with diverse partner types (science-based partners such as universities and

research institutions, versus market-based partners such as suppliers and customers), provides robust empirical support for these hypotheses.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bi_4203,

title = {A Re-Node self-training approach for deep graph-based semi-supervised classification on multi-view image data},

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

url = {https://doi.org/10.1016/j.inffus.2025.103887},

year  = {2026},

date = {2026-03-01},

journal = {Information Fusion},

volume = {127},

number = {Part C},

pages = {103887},

abstract = {Recently, graph-based semi-supervised learning and pseudo-labeling have gained attention due to their effectiveness in reducing the need for extensive data annotations. Pseudo-labeling uses predictions from unlabeled data to improve model training, while graph-based methods are characterized by processing data represented as graphs. However, the lack of clear graph structures in images combined with the complexity of multi-view data limits the efficiency of traditional and existing techniques. Moreover, the integration of graph structures in multi-view data is still a challenge. In this paper, we propose Re-node Self-taught Graph-based Semi-supervised Learning for Multi-view Data (RSGSLM). Our method addresses these challenges by (i) combining linear feature transformation and multi-view graph fusion within a Graph Convolutional Network (GCN) framework, (ii) dynamically incorporating pseudo-labels into the GCN's loss function to improve classification in multi-view data, and (iii) correcting topological imbalances by adjusting the weights of labeled samples near class boundaries. Additionally, (iv) we introduce an unsupervised smoothing loss applicable to all samples. This combination optimizes performance while maintaining computational efficiency.

Experimental results on multi-view benchmark image datasets demonstrate that RSGSLM surpasses existing semi-supervised learning approaches in multi-view context},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{partouche-sebban_4256,

title = {Sexual well-being in cancer care services: the role of body image and coping strategies Available to Purchase},

author = {Judith Partouche-Sebban and Saeedeh Rezaee Vessal and Youssef Souak and Aymen Ammari and Alain Toledano},

url = {https://doi.org/10.1108/JSM-03-2025-0165},

year  = {2026},

date = {2026-02-01},

journal = {Journal Of Services Marketing},

abstract = {Purpose

Sexuality-related challenges represent one of the most persistent yet insufficiently addressed dimensions of patient well-being in cancer care services. Despite their significant impact on quality of life, sexual concerns are often marginalized within oncology service delivery. Anchored in Transformative Service Research, this study examines how body image shapes oncology patients' coping responses to sexual dysfunction and, in turn, influences sexual life satisfaction. This study aims to inform the design of health-care support services that more effectively address sexual well-being and strengthen patient-centered cancer care.



Design/methodology/approach

A mixed-methods research design was used. Study 1 involved semi-structured interviews with cancer patients (n = 16) to explore their experiences of sexuality-related challenges during treatment and the coping strategies they adopted. Building on these qualitative insights, Study 2 used a quantitative survey (n = 204) to test the proposed conceptual model, examining the relationships between body image, coping strategies and sexual life satisfaction, as well as the mediating role of partner relationship quality.



Findings

The findings show that sexual dysfunction in the context of cancer care is closely intertwined with body-related concerns and identity threat. Patients rely on two main coping strategies - engagement and disengagement - which mediate the relationship between body image and sexual life satisfaction. Moreover, partner relationship quality plays a mediating role in the link between coping strategies and sexual life satisfaction. These results underline the importance of targeted service interventions that address body image concerns and incorporate couple-based support within oncology care.



Originality/value

This study extends existing research on sexual dysfunction in chronic illness by shifting the focus from symptoms to patients' lived experiences and coping processes within health-care services. By elucidating how body image and coping interact to shape sexual well-being, the research offers actionable insights for the design of supportive oncology services. More broadly, it highlights the role of service marketing in fostering more intimate, holistic and transformative care for vulnerable patient populations.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{sharifi-tehrani_4221,

title = {Women's Network Resource Acquisition in Informal Rural Entrepreneurship: A Developed View of Opportunity versus Necessity Dichotomy},

author = {Mohammad Sharifi-Tehrani and Siamak Seyfi and Tan Vo-Thanh and Mustafeed Zaman},

url = {http://dx.doi.org/10.1177/00472875241300974},

year  = {2026},

date = {2026-02-01},

journal = {Journal Of Travel Research},

volume = {65},

number = {2},

pages = {429-448},

abstract = {This study explores the inherent interdependencies between microfinance social enterprises and two groups of women informal farm entrepreneurs and women informal tourism entrepreneurs in four impoverished rural regions in Iran. Using a qualitative constructivist grounded theory methodology, the findings suggest that women tourism entrepreneurs tend to engage in a greater coexistence of weak vertical and horizontal ties. In contrast, women farm entrepreneurs primarily develop strong horizontal ties. Consequently, members of the tourism group have greater opportunities to access a diverse range of resources, placing them in a more advantageous position along the opportunity-necessity entrepreneurship continuum. Guided by a network approach combined with strong structuration theory, this study develops a theoretical model that illustrates how these two groups of women entrepreneurs differently cope with gender constraints to grow their informal businesses. The findings highlight the need for tailored strategies and policies to empower various groups of subsistence women entrepreneurs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rejeb_4251,

title = {CSR Investments Strategies of Financially Distressed Firms in Competitive Markets},

author = {Najet Rejeb and Houssam Bouzgarrou and Faten Lakhal},

url = {https://doi.org/10.1057/s41260-026-00442-6},

year  = {2026},

date = {2026-02-01},

journal = {Journal of Asset Management},

volume = {27},

number = {9},

abstract = {This study investigates the behavior of distressed firms toward CSR-investments under competitive market pressure. Using a sample of 105 non-financial French firms listed on the SBF-250 index from 2005 to 2020, the findings reveal that distressed firms are incentivized to invest in CSR, particularly in environmental and social dimensions. CSR initiatives serve as a form of insurance, helping to buffer the negative effects of financial distress. Moreover, the positive effect of financial distress on CSR is more pronounced in competitive markets. This research is among the first to analyze CSR from the perspective of financially distressed firms and uniquely includes market competition as a moderating factor. The findings carry significant implications for decision-makers, such as investors evaluating opportunities in competitive markets, and underscore the value of social and environmental initiatives in enhancing firm performance, especially during financial distress.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ketata_4268,

title = {Performance Enhancement of Bonded Aluminum Composite Panels through Control of Polyethylene Core Thickness},

author = {HAJER KETATA and Naila Hfaiedh and Hatem Ksibi},

url = {https://doi.org/10.1021/acsomega.5c12525},

year  = {2026},

date = {2026-02-01},

journal = {Acs Omega},

volume = {1},

abstract = {This study analyzes the global mechanical behavior and performance optimization of Aluminum Composite Panels (ACP) with a polyethylene (PE) core. Conventional multilayer ACP designs often lead to excessive material use and high weight. The effect of PE core thickness on mechanical performance was investigated to reduce the number of layers while maintaining structural integrity. Experimental tensile tests and finite element (FEM) simulations using ABAQUS/Explicit were conducted to evaluate the elastic and plastic deformation of ACP up to failure. The combined effects of core thickness and the number of sandwich layers were systematically analyzed. Results show that the apparent Young's modulus (Eapp) decreases with increasing core thickness and number of layers. Adjusting the PE core thickness allows a single ACP to replace multiple bonded panels while maintaining equivalent load-bearing capacity. A single ACP with a 10 mm PE core can replace three 4 mm bonded panels. This approach reduces aluminum consumption, structural weight, and material usage while promoting the use of recyclable polymer cores. The findings highlight the relevance of the apparent modulus as a key design parameter and confirm the potential of ACPs as lightweight, high-performance, and sustainable materials for industrial applications.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}