Data Science, Digital Transformation, Risks & Complex Systems

@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{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{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{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{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{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{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{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{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{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{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{jaffal-moutarda_3868,

title = {On the well-posedness of the Second-grade compressible fluid model},

author = {Basma Jaffal-Moutarda and Raafat Talhouk},

url = {http://dx.doi.org/10.1016/j.jmaa.2025.130030},

year  = {2026},

date = {2026-02-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {554},

number = {2},

pages = {130030},

abstract = {In this paper, we investigate the well-posedness of Grade-two compressible fluid model in the non-steady case. To our knowledge, the existing literature provides only one result that addresses the existence of solutions for the compressible case, which is limited to steady-state flows.

We establish the local existence and uniqueness of solutions in the Sobolev space $H^m$, for $m  geq 3$ . We notice that in the incompressible case, the best known existence result requires $m  geq 5$, unless specific thermodynamic conditions are satisfied (their effect is to reduce the high nonlinearity of the model), in which case $m geq 3$ suffices.

Finally, we analyze the linearized system around the constant state and establish the global well-posedness of the solution, as well as its exponential decay in time toward the steady state. In addition, we prove the persistence of regularity for the solution.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{takhirov_3854,

title = {Pressure Poisson splitting scheme for Navier-Stokes Equations with open boundaries},

author = {Aziz Takhirov and Driss Yakoubi},

url = {https://www.sciencedirect.com/science/article/pii/S0378475425003489?via%3Dihub},

year  = {2026},

date = {2026-02-01},

journal = {Mathematics And Computers In Simulation},

volume = {240},

pages = {968-981},

abstract = {This paper presents a novel time-stepping algorithm for solving incompressible flows in domains with open boundaries. The scheme is based on the pressure Poisson reformulation of the system. A new boundary condition is proposed for the pressure variable on the open boundary. Unconditional stability is shown for a stabilized scheme. Numerical tests indicate excellent stability and accuracy of the proposed algorithm.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mali_3855,

title = {DaMoOp: A global approach for optimizing denormalized schemas through a multidimensional cost model},

author = {Jihane Mali and Ahvar Shohreh and Faten Atigui and Ahmed Azough and Nicolas Travers},

url = {https://doi.org/10.1016/j.is.2025.102598},

year  = {2026},

date = {2026-02-01},

journal = {Information Systems},

volume = {136},

pages = {102598},

abstract = {The complexity of database systems has increased alongside the exponential growth of data, necessitating Information Systems (IS) architects to continuously refine data models and meticulously select storage and management options that align with requirements. While existing solutions focus on data model transformation, none offer guidance in selecting the most suitable data model for a given use case. In this context, we propose DaMoOp, an automated approach for leading data model selection process. DaMoOp starts from a conceptual model and associated use case comprising queries, settings and infrastructure constraints, to generate relevant logical data models. A cost model, considering environmental, financial, and temporal factors, facilitates comparison and selection of the most suitable data model. Our cost model incorporates both data model and queries costs. Additionally, we suggest a data model selection process that enhances the ability to choose the optimal data model(s) for a specific use case, while also adapting to rapidly evolving use cases. We provide a strategic optimization approach designed to identify the most cost-efficient and stable data model as use case scenarios evolve. Moreover, we offer a simulation tool for the entire process, which enables visualizing the impact of use case variations on data model costs, thus empowering IS architects to make informed decisions.},

note = {The complexity of database systems has increased alongside the exponential growth of data, necessitating

Information Systems (IS) architects to continuously refine data models and meticulously select storage and

management options that align with requirements. While existing solutions focus on data model transformation,

none offer guidance in selecting the most suitable data model for a given use case. In this context, we propose

DaMoOp, an automated approach for leading data model selection process. DaMoOp starts from a conceptual

model and associated use case comprising queries, settings and infrastructure constraints, to generate relevant

logical data models. A cost model, considering environmental, financial, and temporal factors, facilitates

comparison and selection of the most suitable data model. Our cost model incorporates both data model and

queries costs. Additionally, we suggest a data model selection process that enhances the ability to choose the

optimal data model(s) for a specific use case, while also adapting to rapidly evolving use cases. We provide a

strategic optimization approach designed to identify the most cost-efficient and stable data model as use case

scenarios evolve. Moreover, we offer a simulation tool for the entire process, which enables visualizing the

impact of use case variations on data model costs, thus empowering IS architects to make informed decisions},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jaffal-mourtada_3868,

title = {On the well-posedness of the Second-grade compressible fluid model},

author = {Basma Jaffal-Mourtada and Raafat Talhouk},

url = {http://dx.doi.org/10.1016/j.jmaa.2025.130030},

year  = {2026},

date = {2026-02-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {554},

number = {2},

pages = {130030},

abstract = {In this paper, we investigate the well-posedness of Grade-two compressible fluid model in the non-steady case. To our knowledge, the existing literature provides only one result that addresses the existence of solutions for the compressible case, which is limited to steady-state flows.

We establish the local existence and uniqueness of solutions in the Sobolev space $H^m$, for $m  geq 3$ . We notice that in the incompressible case, the best known existence result requires $m  geq 5$, unless specific thermodynamic conditions are satisfied (their effect is to reduce the high nonlinearity of the model), in which case $m geq 3$ suffices.

Finally, we analyze the linearized system around the constant state and establish the global well-posedness of the solution, as well as its exponential decay in time toward the steady state. In addition, we prove the persistence of regularity for the solution.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{son_4104,

title = {On Sustainable Operations and Supply Chain Management: has the debate on Diversity, Equity, and Inclusion been settled},

author = {Byung-Gak SON and Lilian DE MENEZES and Seongtae KIM and Adriana LEIRAS and Salomée Ruel},

url = {https://doi.org/10.1108/IJOPM-09-2025-0883},

year  = {2026},

date = {2026-02-01},

journal = {International Journal Of Operations & Production Management},

volume = {46},

number = {3},

pages = {341-266},

abstract = {Purpose: This article investigates the business case for Diversity, Equity, and Inclusion (DEI) within the context of Operations and Supply Chain Management (OSCM), a topic that has been the focus of intense debate in academic and practitioner circles, and has become strongly associated with conflicting ideological perspectives. It combines an extensive literature review on DEI and potential outcomes, including the other contributions in the special issue ?On Sustainable Operations and Supply Chain Management: What about Diversity, Equity, and Inclusion??, with empirical analyses, both quantitative and qualitative, to examine the potential outcomes of DEI initiatives.



Design/methodology/approach: In the empirical analysis, a mixed-methods of explanatory sequential design is used. First, the association between OSCM employees' perceptions of workplace DEI and firm-level performance is examined using matched data from Glassdoor employee-reviews of DEI in Fortune 500 companies and Refinitiv Workspace. Then, a qualitative follow-up analysis is undertaken based on 10 interviews with experienced DEI-leaders and OSCM practitioners.



Findings: DEI research in OSCM is still in its early stages and extant knowledge is predominantly based on case studies. Evidence on the relationship between firm-level DEI and performance is mixed and may reflect the context as well as the available information. While there are arguments for a positive association, our quantitative analysis challenges this expectation. Our interviews highlight potential positive outcomes such as enhanced employee engagement and job satisfaction that could translate into performance, but also suggest negative effects when DEI initiatives alienate core groups, are performative rather than substantive, or incur significant short-term costs. Overall, further academic research is needed to address the rhetorics and realities of DEI, understand unfulfilled expectations, identify moderating and mediating factors, and thus potentially resolve inconsistencies in findings.



Originality/value: This introductory article underscores that the DEI debate is far from settled and offers a future research agenda based on an assessment of the current state of DEI scholarship within OSCM, empirical analyses and a review of the seven papers selected for this special issue.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{charles_4188,

title = {Diffusion asymptotics of a kinetic model for gas-particle mixtures with energy exchanges},

author = {Frédérique Charles and Anna Maria Massimini and Francesco Salvarani},

url = {https://dx.doi.org/10.4310/CMS.260210003838},

year  = {2026},

date = {2026-02-01},

journal = {Communications In Mathematical Sciences},

volume = {24},

number = {3},

pages = {797-844},

abstract = {In this paper, we propose a non-isothermal kinetic model describing interactions between dust particles and gas molecules. We assume that gas-dust collisions follow a diffuse reflection mechanism at the surface of the dust particles. The surface temperature of the particles is treated as a function of time and space, satisfying a transport-like equation. The key novelty of this model is its ability to derive both the conservation of total energy in the system and an explicit expression

for entropy. After adimensionalising the equations, we perform a formal diffusive asymptotic analysis leading to a coupled system of partial differential equations. In particular, we examine the limiting

case in which the mass ratio between gas and dust, as well as the Mach and Knudsen numbers, tend to zero.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{attali_4189,

title = {A kinetic theory approach to consensus formation in financial markets},

author = {Jean-Gabriel ATTALI and Francesco Salvarani},

url = {10.3934/QFE.2026006},

year  = {2026},

date = {2026-02-01},

journal = {Quantitative finance and economics},

volume = {10},

number = {1},

pages = {108-129},

abstract = {It is sometimes acknowledged that (sell-side) equity analysts' recommendations influence investors and therefore market prices. In particular, the S&P 500 is expected to decline (or rise) when analysts revise their targets downward (upward, respectively). Our findings indicate not only that the analysts' consensus exert no influence on market prices, but also that, conversely, analysts appear to set their target prices based on markets prices. Employing a kinetic theory framework, we model the dynamics of the analysts' opinions, by taking both the mutual influences shaping price consensus and the dynamics of the actual S&P 500 index level into account. The model is calibrated on a training subset of data and tested on an independent set to assess its predictive power. Our tests show that just three free parameters are enough to accurately predict the one-year average price forecasts of analysts.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boukili_4211,

title = {Analysis of Coupled Steady Navier-Stokes and Turbulent Kinetic Energy Equations with Velocity-Dependent Boundary Conditions},

author = {Hamza Boukili and Aziz Takhirov and Driss Yakoubi},

url = {https://doi.org/10.1007/s00030-026-01208-0},

year  = {2026},

date = {2026-02-01},

journal = {Nodea-Nonlinear Differential Equations And Applications},

volume = {33},

number = {59},

abstract = {In this paper, we establish the existence of a weak solution for the steady RANS model, where the Navier-Stokes equations are coupled with the equation governing the turbulent kinetic energy (TKE). This coupling of the two equations occurs both through the eddy viscosity and eddy diffusion coefficients and also through a Dirichlet boundary

condition on a portion of the boundary leading to energy production.

Additionally, the right-hand side in the TKE equation contains a term ?(k)|?u|2 that is only integrable. The proof of the existence of a weak solution is obtained by regularization of the original problem, relaxing

the terms that are not sufficiently regular. Additionally, due to the nonhomogeneous Dirichlet boundary condition on a portion of the boundary for the energy variable k, we introduce a change of variable for k using the lifting of its value on the boundary of the domain. This implies a new variational formulation with regularization of terms arising from this lifting.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{essadeq_4213,

title = {Stability and convergence of modal approximations in coupled thermoelastic systems: Theory and simulation},

author = {Imane Essadeq and Salem Nafiri and SAAD BENJELLOUN and Anoir Essadat Fettouh},

url = {10.3934/dcdss.2026070},

year  = {2026},

date = {2026-02-01},

journal = {Discrete And Continuous Dynamical Systems-Series S},

abstract = {In this work, we review and analyze both the theoretical and numerical aspects of strongly and weakly coupled thermoelastic systems. By employing spectral analysis techniques and establishing uniform resolvent estimates, we derive uniform polynomial decay rates for the associated semigroups under a suitable class of boundary conditions. Particular attention is paid to the role of modal approximations in energy analysis. The theoretical results are complemented by numerical experiments that illustrate how the regularity of initial data, smooth versus nonsmooth, affects the observed decay rates, providing deeper insight into the interplay between spectral structure and energy dissipation.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{harfouche_3861,

title = {Une IA éthique, informée et explicable face aux fluctuations de la demande agricole},

author = {Antoine Harfouche and Peter Saba and Thrycia TITE},

url = {https://doi.org/10.1684/rfg.2026.123},

year  = {2026},

date = {2026-01-01},

journal = {Revue Française de Gestion},

volume = {52},

number = {326},

pages = {51-73},

abstract = {Cette recherche, conduite dans le cadre du projet « GreenMinds AI », étudie l'intégration d'une intelligence artificielle éthique, informée et explicable (EIX-AI) dans les chaînes d'approvisionnement agricoles, avec une application spécifique au contexte libanais. En mobilisant la Design Science Research et la méthode de Kano, elle montre que l'EIX-AI permet de concilier performance, éthique et durabilité, tout en renforçant l'appropriation grâce à des outils explicatifs tels que SHAP et LIME},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{takhirov_3921,

title = {Upwind iterative decoupling scheme for steady two-dimensional Grade-Two Fluid Equations},

author = {Aziz Takhirov and Basma Jaffal-Mourtada and Driss Yakoubi},

url = {https://doi.org/10.1016/j.cnsns.2025.109412},

year  = {2026},

date = {2026-01-01},

journal = {Communications In Nonlinear Science And Numerical Simulation},

volume = {152},

number = {Part E},

pages = {109412},

abstract = {This paper presents an efficient splitting scheme for solving steady second-grade flow equations in two-dimensional space. The proposed algorithm decouples the system into a separate equation for each flow variable. Uniform boundedness and convergence results are established under a reasonable set of assumptions. Numerical tests are presented to demonstrate the method's efficiency and accuracy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el_baz_3951,

title = {The influence of organisational culture on supply chain readiness and responsiveness},

author = {Jamal EL BAZ and Salomée Ruel and Fedwa JEBLI and Temidayo Akenroye},

url = {https://doi.org/10.1080/16258312.2024.2424151},

year  = {2026},

date = {2026-01-01},

journal = {Supply Chain Forum: An International Journal},

volume = {27},

number = {1},

pages = {85-106},

abstract = {This study investigates the influence of organisational culture (OC) on supply chain (SC) readiness and SC responsiveness following the COVID-19 outbreak, as well as the moderation of disruption severity on those relationships. A survey was conducted in 2021 on French organisations, yielding 312 valid answers. Partial least squares structural equation modelling approach and multi-group analysis (MGA) are employed for the analysis. The results highlight the positive and significant impact of OC on both of SC readiness and SC responsiveness. Specifically, clan and market cultures affect SC readiness, whereas SC responsiveness is influenced by hierarchy as well as clan and market cultures. The moderating role of disruption severity was not found to be significant. However, the MGA revealed that organisations under low severity disruption had a bigger effect of OC on their SC responsiveness. This study is one of the few studies that examines the impact of OC on SC readiness and responsiveness in the context of unprecedented level of disruption.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vazquez-ferrel_3163,

title = {Political survival and legislative reselection in Mexico's chamber of deputies},

author = {Carlos Vazquez-Ferrel and Erik Ernesto Vazquez Hernandez},

url = {https://doi.org/10.1080/13572334.2024.2372953},

year  = {2025},

date = {2025-12-01},

journal = {The Journal of Legislative Studies},

volume = {31},

number = {4},

pages = {1009-1038},

abstract = {This article presents an empirical investigation into the factors influencing the renomination of legislators by party leaders for their continued presence in Congress. We argue that legislators who have previously held influential positions within Congress, such as Committee President, have a successful track record of (co)sponsoring bills, and have built distinguished political careers, are more likely to be renominated in Congress. To test this theory, we employ an original dataset sourced from the Mexican 2018-2021 Chamber of Deputies, which comprises the inaugural group of Congress members allowed to seek reelection after a 90-year prohibition within the context of a transforming party system marked by the diminishing electoral attractiveness of traditional parties. Our findings carry significant implications for comprehending how party leaders recognise and reward legislators who effectively safeguard the party's interests and uphold its reputation inside the halls of Congress.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_3637,

title = {Aging Consumer Engagement with the Mobile Food Planner Apps in Malaysia: Investigating Gender Differences},

author = {Rajat Subhra Chatterjee and Irfan Hameed and Sheshadri Chatterjee and Ranjan Chaudhuri and Demetris Vrontis and Pantea Foroudi},

url = {https://doi.org/10.1177/02761467251325070},

year  = {2025},

date = {2025-12-01},

journal = {Journal Of Macromarketing},

volume = {45},

number = {4},

pages = {723-746},

abstract = {This study investigates the factors influencing older consumers' word of mouth and intention to use meal planner applications,

given that 57% of Malaysians aged 60 and above are active Internet users. The current study utilized an extended technology

acceptance model and the stimulus organism response framework to examine the cognitive-affective dichotomy of usage influence. The respondents were initially selected through purposive sampling and further screened using filter questions to ensure

alignment with the study objectives, resulting in data collected from 392 elderly individuals across various demographic regions of

Malaysia. The analysis was conducted using the Statistical Package for Social Sciences (SPSS) and SmartPLS. The results indicated

that cognitive factors (subjective norm, facilitating conditions, and app characteristics) positively impacted the affective components (perceived usefulness and perceived ease of use), which, in turn, enhanced consumers' attitudes toward using these applications. Furthermore, openness to change and gender were observed to moderate the relationship between affective and

conative responses (word of mouth and behavioral intention). The study provides new insights into the aging population on

food-related mobile applications to governments, food service-based organizations, restaurants, and app designers. Thus,

focus can be on improving app characteristics and facilitating conditions to enhance perceived usefulness and ease of use

while also considering how gender and openness to change may influence consumers' attitudes and behaviors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_3898,

title = {An efficient second-order scalar auxiliary variable approach for unsteady non-Newtonian incompressible fluids},

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

url = {https://www.sciencedirect.com/science/article/pii/S0010465525003674?via%3Dihub},

year  = {2025},

date = {2025-12-01},

journal = {Computer Physics Communications},

volume = {317},

pages = {109865},

abstract = {A novel second-order time-splitting method is proposed for the numerical solution of non-Newtonian fluid flows governed by the incompressible Navier-Stokes equations with a shear-rate dependent viscosity. In many applications, this class of fluid flows is challenging to numerically solve using the conventional monolithic methods. The proposed approach belongs to a family of viscosity-splitting methods and it separates the convection term from the incompressibility

constraint into two steps using the second-order implicit backward differentiation formula for the time integration. To ensure the stability of this method, we introduce a numerical scheme based on the scalar auxiliary

variable approach an efficient pressure incrementation is introduced using the scalar auxiliary variable approach. Unlike most projection methods for solving incompressible Navier-Stokes equations, the proposed method is free of any numerical inconsistencies generated by the treatment of boundary conditions in the pressure solution. A rigorous stability analysis is also carried out in this study and the proposed method is demonstrated to be consistent and stable with no restrictions on the time step. Numerical results are presented for three flow problems to validate the second-order convergence rates and to illustrate the performance of the proposed time-splitting scheme for unsteady

non-Newtonian incompressible fluids.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{elock_son_4033,

title = {Analyse des déterminants de la satisfaction et de la fidélité au drive alimentaire},

author = {Célestin ELOCK SON and Salomée Ruel and Georges WALI BIDI},

url = {https://doi.org/10.1080/12507970.2025.2578267},

year  = {2025},

date = {2025-12-01},

journal = {Logistique & Management},

volume = {33},

number = {4},

pages = {323-342},

abstract = {This study, involving a sample of 298 drive-through (DT) users, aims to identify the key variables of the DT service likely to contribute to customer satisfaction and increase loyalty (purchase frequency) to favour its adoption. Its particularity is to attempt a simultaneous measurement of the influence of assortment, the website functional quality/the quality of staff reception at the withdrawal terminals and reputation on satisfaction and purchase frequency at the drive-through. Similarly, it measures the mediating role of user trust as well as the moderating role of waiting time and Covid-19 in the adoption of drives. The results show that service variables such as the website functional quality/the quality of staff reception at the withdrawal terminals, reputation and assortment significantly influence the behaviour of DT users. Similarly, trust plays a partial mediation in the relationship between the above-mentioned variables and user behaviour (purchase frequency and satisfaction). Finally, the website functional quality/the quality of staff reception at the withdrawal terminals, reputation, assortment and trust have a significant impact on satisfaction, which in turn significantly influence the frequency of DT purchases. The effects of Covid-19 are not significant, which is an unexpected result.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{christofi_4035,

title = {Digital strategy design and digital transformation: a review and future research directions},

author = {Michael Christofi and Grigorios Lamprinakos and Duc Khuong Nguyen and Phuong Tra Tran},

url = {https://doi.org/10.1108/IMR-10-2025-0538},

year  = {2025},

date = {2025-12-01},

journal = {International Marketing Review},

volume = {42},

number = {6},

pages = {1065-1086},

abstract = {Purpose - This paper aims to examine the current landscape of research at the intersection of digital strategy design, digital transformation, and international marketing.



Design/methodology/approach - This paper applies a critical review of the literature.



Findings - In so doing, it thematically classifies existing literature into the four macro themes and twelve micro themes that converge on a coherent account, shaping an organizing framework that captures the impact of digital

transformation in international marketing.



Originality/value - Lastly, the paper offers several future research directions to move the field forward, as well as insights and practical tools to support marketing scholars and executives of multinational enterprises, emerging market multinationals, and global brands in understanding the role and interconnection of digital transformation within the context of international marketing.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hamdache_4081,

title = {On a model of Landau-Lifshitz-Gilbert equation for conducting ferromagnets},

author = {Kamel Hamdache and Djamila Hamroun},

url = {https://doi.org/10.1007/s11587-025-01038-9},

year  = {2025},

date = {2025-12-01},

journal = {Ricerche Di Matematica},

pages = {1-36},

abstract = {In this paper, we are concerned with the Landau-Lifshitz-Gilbert equation (LLG) in a new form proposed in [32] that describes magnetization dynamics of a ferromagnetic body including the role of conduction electrons spin. Considering the one dimensional case, we prove local existence in time and uniqueness of a regular solution with finite energy. The method relies on Galerkin approximating solutions and  defined estimates which give rise to a solution of our problem during a time interval (0, T ?).},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{singh_4108,

title = {How to Reduce Environmental Impacts and Achieve Sustainability: Exploring Electric Car Adoption Through a Hybrid Approach},

author = {Divya Singh and Ujjwal Kanti Paul and Ranjan Chaudhuri and Sheshadri Chatterjee and Ciro Troise},

url = {https://doi.org/10.1002/csr.70336},

year  = {2025},

date = {2025-12-01},

journal = {Corporate Social Responsibility And Environmental Management},

pages = {1-21},

abstract = {To reduce negative environmental impacts, achieve sustainable development goals, meet international commitments, and support the green consumerism trend, the automotive sector has significantly increased its efforts towards the field of electric cars (ECs). The conventional transportation system reliant on fossil fuels has adversely affected human lives and the surrounding environment via carbon emissions; in this sense, the adoption of ECs is considered the optimal approach for mitigating transportation emissions. Despite the government initiatives for sustainable mobility, there is a vast disparity between the adoption of electric two and four-wheeler passenger vehicles in several Asian countries. Considering the above, our study intends to assess the psychographic orientation of potential car buyers in India by utilising the hybrid SEM-ANN approach. Our study draws insights from 611 heterogeneous survey responses collected from potential car buyers in India. The novelty lies in developing a conceptual model to explicitly assess different dimensions of EC adoption intentions integrating psychological and technology acceptance theories (TPB, UTAUT, DOI). The empirical research outcomes showed a significant positive influence of performance expectancy, hedonic motivation and attitude on consumers' behavioral intention to adopt EC, followed by trialability, societal influence, image, and effort expectancy, in addition to a negative impact of perceived risk. The study offers actionable insights encompassing theoretical, methodological, managerial and policy implications for promoting sustainable transportation in several markets. A synergistic endeavour of government and business would help engage prospective consumers and create an ecosystem conducive to ECs.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{kumar_4109,

title = {Investigating switching intentions of patients to healthcare robots: a push-pull-mooring theory perspective},

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

url = {https://doi.org/10.1108/BL-10-2024-0176},

year  = {2025},

date = {2025-12-01},

journal = {The Bottom Line},

volume = {Vol. ahead-of-print},

number = {No. ahead-},

pages = {1-18},

abstract = {Purpose



Technology has changed the way healthcare services are rendered to patients. The present study aims to investigate the factors affecting intentions of Indian patients to switch to healthcare robots.

Design/methodology/approach



Using push-pull-mooring theory, this study evaluates the impact of push, pull and mooring factors on switching patients' intentions to use healthcare robots. To test the relationships, data were collected from 447 patients residing in the Delhi NCR region of India, and responses were empirically examined using Smart-PLS 3.0.

Findings



The present study revealed both the significant and insignificant impacts of factors affecting patients' switching intentions to healthcare robots. Eventually, the study contributes a validated model on switching intentions of patients from traditional healthcare facilities to healthcare robots.

Research limitations/implications



As the present study evaluates the impact of push, pull and mooring factors affecting switching intentions of patients to healthcare robots, therefore, it will specifically help in understanding intentions of patients to switch to healthcare robots. However, this study is cross-sectional in nature and data is collected from Delhi NCR region of India which may limit its generalizability.

Originality/value



This study examines the impact of factors affecting intentions to switch to healthcare robots considering emerging economies which is hardly considered in the past.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{singh_3312,

title = {Harmonious CSR and sustainable branding: evaluating the moderating role of corporate reputation and SDGs in shaping consumer trust in digital advertising},

author = {Kuldeep Singh and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Helene Yildiz},

url = {https://doi.org/10.1080/02650487.2024.2432236},

year  = {2025},

date = {2025-11-01},

journal = {International Journal Of Advertising},

volume = {44},

number = {8},

pages = {1407-1431},

abstract = {This study examines the relationship between harmonious CSR and consumer trust in digital advertising. Furthermore, supported by the literature, we address the moderating effect of corporate reputation and alignment with Sustainable Development Goals (SDGs) on the association between sustainable branding and consumer trust and propose sustainable branding as the mediator between harmonious CSR and consumer trust. These identified factors are presented in a conceptual framework, specifically focusing on three dimensions of harmonious CSR: education, community engagement, and livelihood initiatives. The relationships are analysed and validated with Partial Least Squares Structural Equation Modelling (PLS-SEM), finding that CSR actions favourably impact on sustainable branding, thus enhancing consumer trust in digital advertising. The findings support both academic and practical aspects of CSR and branding research. The study provides insights on the precise mechanisms by which harmonious CSR establishes sustainable branding. Furthermore, it demonstrates that aligning with SDGs is a strategic way to favourably influence sustainable branding on consumer trust in digital advertising.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{taher_3860,

title = {SHREC 2025: Protein surface shape retrieval including electrostatic potential},

author = {Yacoub Taher and Depenveiller Camille and Tatsuma Atsushi and Barisin Tin and Rusakov Eugen and Göbel Udo and Peng Yuxu and Deng Shiqiang and Kagaya Yuki and Park Joon Hong and Kihara Daisuke and Guerra Marco and Palmieri Giorgio and Andrea Ranieri and Fugacci Ulderico and Biasotti Silvia and Ruiwen He and Halim Benhabiles and Adnane Cabani and Karim Hammoudi and Li Haotian Li and Huang Hao and Li Chunyan and Tehrani Alireza and Meng Fanwang and Zadeh Farnaz Heidar- and Yang Tuan-Anh and Montes Matthieu},

url = {https://doi.org/10.1016/j.cag.2025.104394},

year  = {2025},

date = {2025-11-01},

journal = {Computers & Graphics-Uk},

volume = {132},

pages = {104394},

abstract = {This SHREC 2025 track dedicated to protein surface shape retrieval involved 9 participating teams. We evaluated the performance in retrieval of 15 proposed methods on a large dataset of 11,565 protein surfaces with calculated electrostatic potential (a key molecular surface descriptor). The performance in retrieval of the proposed methods was evaluated through different metrics (Accuracy, Balanced accuracy, F1 score, Precision and Recall). The best retrieval performance was achieved by the proposed methods that used the electrostatic potential complementary to molecular surface shape. This observation was also valid for classes with limited data which highlights the importance of taking into account additional molecular surface descriptors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dai_3878,

title = {Multiscale Risk Spillovers and External Driving Factors: Evidence From the Global Futures and Spot Markets of Staple Foods},

author = {Yun-Shi Dai and Peng-Fei Dai and Stéphane Goutte and Duc Khuong Nguyen and Wei-Xing Zhou},

url = {https://doi.org/10.1111/risa.70094},

year  = {2025},

date = {2025-11-01},

journal = {Risk Analysis},

volume = {45},

number = {11},

pages = {3554-3584},

abstract = {Stable and efficient food markets are crucial for global food security. However, international staple food markets are increasingly exposed to complex risks, including intensified risk contagion and increasing external uncertainties. This paper systematically investigates risk spillovers in global staple food markets and explores the key determinants of these spillover effects, combining innovative decomposition-reconstruction techniques, risk connectedness analysis, and random forest models. The findings reveal that short-term components exhibit the highest volatility, with futures components generally more volatile than spot components. Further analysis identifies two main risk transmission patterns, namely, cross-grain and cross-timescale transmission, and clarifies the distinct roles of each component in various net risk spillover networks. Furthermore, price drivers, external uncertainties, and core supply-demand indicators significantly influence these spillover effects, with the heterogeneous importance of varying factors in explaining different risk spillovers. This study provides valuable information on the risk dynamics of staple food markets, offers evidence-based guidance to policymakers and market participants to improve risk warning and mitigation efforts, and supports the stabilization of international food markets and the protection of global food security.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ouchdiri_3897,

title = {Turing patterns in a morphogenetic model with single regulatory function},

author = {Mohamed Amine Ouchdiri and SAAD BENJELLOUN and Adnane Saoud and Irene Otero-Muras},

url = {http://dx.doi.org/10.1016/j.mbs.2025.109536},

year  = {2025},

date = {2025-11-01},

journal = {Mathematical Biosciences},

volume = {389},

pages = {109536},

abstract = {Confirming Turing's theory of morphogens in developmental processes is challenging, and synthetic biology has opened new

avenues for testing Turing's predictions. Synthetic mammalian pattern formation has been recently achieved through a reaction-

diffusion system based on the short-range activator (Nodal) and the long-range inhibitor (Lefty) topology, where a single function

regulates both morphogens. In this paper, we investigate the emergence of Turing patterns in the synthetic Nodal-Lefty system.

First, we prove the existence of a global solution and derive conditions for Turing instability through linear stability analysis.

Subsequently, we examine the behavior of the system near the bifurcation threshold, employing weakly nonlinear analysis, and

using multiple time scales, we derive the amplitude equations for supercritical and subcritical cases. The results demonstrate the

ability of the system to support various patterns, with the subcritical Turing instability playing a crucial role in the formation of

dissipative structures observed experimentally.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{singh_3995,

title = {From purpose to purchase: how sustainable advertising builds brand trust and corporate reputation},

author = {Anurag Singh and Rupesh Kumar and Vinod Kumar and Georgia Sakka and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis},

url = {https://doi.org/10.1080/02650487.2025.2578151},

year  = {2025},

date = {2025-11-01},

journal = {International Journal Of Advertising},

pages = {1-27},

abstract = {Sustainability-oriented advertising aligned with the United Nations 

Sustainable Development Goals (SDGs) significantly enhances Indian 

consumers' purchase intentions through brand trust, moderated by 

corporate reputation and SDG literacy, as revealed by a six-month 

time-lagged survey of n=421 respondents. Employing PLS-SEM, this 

study demonstrates that SDG-focused CSR advertising strengthens 

brand trust, which mediates 63% of the total effect on purchase 

intentions. Corporate reputation amplifies this relationship, with 

high-reputation firms achieving 23% greater purchase intention, 

while consumers in the top SDG literacy quartile exhibit 31% stronger trust-to-purchase pathways. The implications of the study highlight the need for the layered communication frameworks that 

navigate India's evolving sustainability landscape.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{zighan_4038,

title = {Managing Social Sustainability Paradoxes in the Digitalized Supply Chains for Circular Economy},

author = {Saad ZIGHAN and Salomée Ruel},

url = {https://doi.org/10.1016/j.pursup.2025.101090},

year  = {2025},

date = {2025-11-01},

journal = {Journal Of Purchasing And Supply Management},

pages = {101090},

abstract = {This study explores how social sustainability is enabled and constrained within Circular Digitalized Supply Chains (CDSCs), mobilizing paradox theory as a theoretical lens. Through a qualitative analysis of interviews with 22 supply chain (SC), operations, logistics, and procurement managers, the research identifies key paradoxes that emerge when pursuing social goals alongside circular and digital transformations. The study finds that pursuing CDSCs' goals alongside social sustainability objectives creates paradoxical tensions, such as conflicts between efficiency and fair labor practices, data privacy concerns, and the potential for power concentration within digital platforms. These tensions highlight the complexities of balancing competing objectives within CDSC operations. Moreover, the different managerial perspectives, such as SC, operational, logistics, and procurement, may prioritize different aspects of sustainability, leading to potential tensions. These tensions were categorized into four paradoxes: the paradox of progress, the paradox of efficiency, the paradox of control, and the paradox of governance. To manage these paradoxes, the findings highlight the importance of dynamic management, stakeholder engagement, transparency, innovation, and continuous learning. This should also be supported by holistic integration, which involves a unified, comprehensive approach to managing paradoxes in CDSCs, transitioning from separate functional strategies to a cohesive solution. This study contributes to understanding the complexities of social sustainability in CDSCs. It offers insights for practitioners and policymakers seeking to promote more responsible and sustainable SC practices.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{kumar_3160,

title = {Mapping business ethics and society: A systematic journey into research and way forward},

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

url = {https://onlinelibrary.wiley.com/doi/10.1111/beer.12731},

year  = {2025},

date = {2025-10-01},

journal = {Business Ethics, the Environment and Responsibility},

volume = {34},

number = {4},

pages = {1487-1503},

abstract = {While the notion of business ethics has historical roots, previous research endeavours have refrained from consolidating the existing body of knowledge on the intersection of business ethics and society. This hesitance is attributed to the intricate and diverse nature of such studies. Thus, there is a gap in the literature on synthesizing the intimate relationship between business ethics and society. This gap in research serves as the impetus and motivation for the current investigation. However, limited empirical studies are found to have been conducted in the allied areas and there are limited studies that map business ethics and society in an extensive manner. In this context, this study systematically reviewed 87 scholarly works spanning a period of over 20?years in the realm of business ethics concerning society by considering articles included in the Scopus and Web of Science databases. Through the outcomes of this inquiry, an integrative and comprehensive framework detailing the interplay between business ethics and society at individual and organizational levels is introduced, with the potential to guide forthcoming scholars and practitioners in their pursuits. In this study, themes including employees' ethical behaviour, manufacturing strategy and ethics, leadership dynamics, consumer trust and so on have not been considered as critical societal dimensions that have not been included.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hamdache_3631,

title = {Asymptotic behavior of thin ferroelectric models},

author = {Kamel Hamdache and Djamila Hamroun},

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

year  = {2025},

date = {2025-10-01},

journal = {Nonlinear Analysis-Real World Applications},

volume = {85},

number = {1},

pages = {104379},

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

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

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

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

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

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

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

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

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

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

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

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

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

are identified.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_3670,

title = {Error analysis of a fractional-step method for reactive fluid flows with Arrhenius activation energy},

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

url = {https://www.sciencedirect.com/science/article/abs/pii/S1007570425002783},

year  = {2025},

date = {2025-10-01},

journal = {Communications In Nonlinear Science And Numerical Simulation},

volume = {149},

pages = {108867},

abstract = {Propagation problems of reaction fronts in viscous fluids are crucial in many industrial and chemical engineering processes. The interactions between the reaction properties and the fluid dynamics yield a complex and nonlinear model of Navier-Stokes equations for the flow with a strong coupling with two reaction-advection diffusion equations for the temperature and the

degree of conversion. To alleviate difficulties related to the numerical approximation of suchsystems, we propose a fractional-step method to split the problem into several substeps, and based on a viscosity-splitting approach that separates the convective terms from the diffusion

terms during the time integration. A first-order scheme is employed for the time integration of each substep of the proposed fractional-step method. The proposed method also preserves the full original boundary conditions for the velocity which eliminates any potential inconsistencies

on the pressure, and it allows for nonhomogeneous Dirichlet and Neumann boundary conditions

for the temperature and degree of conversion that are physically more appealing. In the present work, we perform an error analysis and provide error estimates for all involved solutions in their relevant norms. A rigorous stability analysis is also carried out in this study and the

proposed method is demonstrated to be consistent and stable with no restrictions on the time step. Numerical results obtained for a problem with known analytical solutions are presented to verify the theoretical analysis and to assess the performance of the proposed method. The method is also implemented for solving a two-dimensional flame-like propagation problem in

viscous fluids. The obtained computational results for both examples support the theoretical expectations for a stable and accurate numerical solver for reactive fluids with Arrhenius activation energy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{saba_3877,

title = {The DeLone and McLean Information Systems Success Model: What is the Future Evolution for Its Foundations, Components, and Applications?},

author = {Peter Saba and William H. DeLone and Noor Ul-Ain and Antoine Harfouche and Imed Ben Nasr and Guillaume Biot-Paquerot and Sabrine Mallek},

url = {https://doi.org/10.17705/1CAIS.05738},

year  = {2025},

date = {2025-10-01},

journal = {Communications of the AIS},

volume = {57},

pages = {878-898},

abstract = {The DeLone and McLean (D&M) Information Systems (IS) Success Model has served as a dominant framework for evaluating IS effectiveness for over three decades. This panel report synthesizes insights from a scholarly panel held at ICTO 2025 that convened the model's co-creator and experts in AI, digital transformation, user behavior, governance, and sustainability to reimagine the model's future evolution. We first recount the model's foundations, then examine how contemporary societal, technological, political, and environmental forces challenge its traditional formulation. The panel discussion revealed both consensus and healthy tensions: panelists agreed the six core dimensions of success remain largely timeless, yet underscored the need to adapt how these dimensions are defined and measured considering new realities. We highlight emerging themes such as the criticality of human-centric design to ensure information quality and trust in AI systems, the reconceptualization of ?use? and ?user satisfaction? as rich user experience constructs encompassing enjoyment and well-being, the incorporation of negative outcomes as part of success evaluation, and the broadening of ?net benefits? to include societal and environmental impacts. We discuss how the panel's insights extend recent literature, including new measures for social IS success and frameworks for multi-stakeholder value. We also outline directions for future research.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}