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{el-amrani_4455,

title = {A consistent viscosity-splitting method for the Navier-Stokes equations with pressure boundary conditions},

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

url = {https://doi.org/10.1016/j.cma.2026.119063},

year  = {2026},

date = {2026-08-01},

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

volume = {458},

pages = {119063},

abstract = {The incompressible Navier-Stokes equations equipped with classical boundary conditions have been extensively studied from both theoretical and numerical perspectives, and a wide variety of fractional-step and splitting methods have been developed to reduce their computational complexity. However, in many realistic flow configurations, standard boundary conditions are inadequate to accurately represent the physical behavior at open or artificial boundaries, where mixed or pressure-based conditions are more appropriate. Despite their practical relevance, such unconventional boundary conditions have received comparatively little attention in the design and analysis of consistent splitting schemes. In the present work, we propose a class of viscosity-splitting schemes for the incompressible Navier-Stokes equations subject to non-standard boundary conditions. In particular, the velocity is prescribed in a Dirichlet sense on a portion of the boundary, while on the complementary part the tangential velocity together with the total pressure is imposed. The proposed schemes are constructed to ensure consistency with the continuous problem and to properly account for prescribed pressure on the boundary. To enhance mass conservation and improve numerical robustness, a grad-div stabilization term is incorporated into the formulation. The convergence and accuracy properties of the resulting methods are assessed using a series of numerical examples, which demonstrate their effectiveness in handling pressure boundary conditions and confirm the expected convergence behavior. These results indicate that the proposed viscosity-splitting approach provides a reliable and efficient method for the simulation of incompressible flows with physically relevant, non-standard boundary conditions.},

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{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  = {2026},

date = {2026-06-01},

journal = {Journal Of Purchasing And Supply Management},

volume = {32},

number = {3},

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 = {published},

tppubtype = {article}

}

@article{kefi_4391,

title = {Impact of Stress on Workplace E-Learning Satisfaction:  Gender and Generational Effects},

author = {Hajer Kefi and Peter Saba and Ekaterina Besson and Karina Sokolova},

url = {https://doi.org/10.1007/s10796-026-10771-x},

year  = {2026},

date = {2026-06-01},

journal = {Information Systems Frontiers},

abstract = {This study investigates the determinants of learner satisfaction in workplace e-learning, emphasizing Perceived Stress, Instructor Support, Learner-Learner Interaction, and Self-Motivation. It offers a novel perspective by integrating psychological factors into the Virtual Learning Environment (VLE) framework, with a particular focus on gender and generational differences in LifeLong Learning (LLL) within the tourism sector. Using data from 318 French tourism employees, Partial Least Squares (PLS) analysis shows that Perceived Stress negatively affects E-Learning Satisfaction. Subgroup analyses further indicate patterned variation across gender and generation, with stress appearing more salient in the female subgroup and Learner-Learner Interaction simultaneously fostering satisfaction while being associated with higher stress among Generations Y and Z. In addition, Self-Motivation appears especially important under higher stress. These insights advance Information Systems (IS) research by refining VLE frameworks to account for demographic diversity in technology-mediated learning. The study offers practical guidance for designing inclusive e-learning strategies, advocating for stress mitigation, adaptive instructor support, and structured peer engagement to enhance learning effectiveness in corporate environments.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{zalan_4453,

title = {Metaverse Alchemy: Connecting NFTs, Crypto-Tokens, and Social Media in Web3 Platform Multinationals' Success},

author = {Tatiana ZALAN and Efstathios Polyzos and Elissar Toufaily},

url = {https://doi.org/10.1016/j.lrp.2026.102647},

year  = {2026},

date = {2026-06-01},

journal = {Long Range Planning},

pages = {102647},

abstract = {This paper focuses on the emerging internet phenomenon of Web3 platforms which are a new generation of multinationals. Using two popular metaverse platforms, Decentraland and The Sandbox, we examine the nexus between the platform NFTs (non-fungible tokens), the cryptocurrency (i.e., the native token) and the social media discussions around the platforms. We combine token price data with information from OpenSea and X (Twitter) and implement wavelet coherence analysis to examine the time-varying relationship between these three pillars of performance. Our analysis suggests that it is the NFT market (and not the cryptocurrency market) that drives the performance of the decentralized metaverse platforms. Social media discussions generate buzz and sentiment, acting as a catalyst of success. We contribute to shedding light on ?the big question? in international business (IB) research (Peng, 2004) and on the issue of user adoption in the novel context of Web3 PMNCs (platform multinational corporations). The practical implication of our research is that Web3 PMNC builders should design business models that provide utility to NFTs.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chatterjee_4497,

title = {AI insurance chatbots and phygital service engagement: the triadic impact of trust-anxiety-complexity- on aging consumers},

author = {Subhra Chatterjee and Bindu Singh and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Pantea Foroudi},

url = {https://doi.org/10.1080/0965254X.2026.2662669},

year  = {2026},

date = {2026-06-01},

journal = {Journal of Strategic Marketing},

pages = {1-28},

abstract = {This study examines elderly consumers' perceptions of the design of AI insurance chatbot services in a phygital context. Drawing on the extended reality technology (ERT) framework and the stimulus - organism - response (SOR) model, it explores the cognitive - affective dynamics shaping chatbot adoption in a sensitive service setting. Data were collected from 396 elderly consumers of major insurance companies in Malaysia and analysed using structural equation modelling to assess mediating and moderating effects. Findings show that perceived trust critically mediates the relationship between cognitive factors and chatbot adoption. Technology anxiety and perceived complexity strongly moderate the trust - usage relationship, confirming a triadic interaction. The study advances theory by integrating the ERT - SOR framework to explain the physical - digital service dichotomy and the continuous use of chatbots. It also highlights the unique affective and psychosocial aspects of aging consumers and offers practical guidance for insurers to design trust-enhancing, user-friendly chatbot services for older users.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{kumar_4513,

title = {Decoding Deepfake Perceptions: Trustworthiness, Importance and Behavioral Intention},

author = {Vinod Kumar and Sachin Kumar and Sheshadri Chatterjee and Ranjan Chaudhuri and Shivam Gupta},

url = {https://doi.org/10.1007/s10796-026-10765-9},

year  = {2026},

date = {2026-06-01},

journal = {Information Systems Frontiers},

abstract = {The present study examines association between deepfake content trustworthiness, perceived importance of content, attitude towards content, and behavioral intentions. Furthermore, the mediating role of perceived importance of content and moderating role of attitude is also observed. The data is collected from 393 customers approached in shopping malls in Delhi-NCR through mall-intercept survey methodology and proposed theoretical model is tested using PLS-SEM. The results indicate that the trustworthiness of deepfake content significantly influence individual's attitude and behavioral intention. The perceived importance of content also plays significant roles as driving factor and mediator, sharping the way users engage with deepfake media. This study will offer insights to practitioners, media platforms and digital content creators in addressing misinformation and enhancing audience trust. This study also provides valuable perspective on elaboration likelihood model that how content evaluation is carried out by users in the age of AI-generated media.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{khalifeh_4519,

title = {Mathematical analysis and numerical validation of an extended KdV model for shallow water waves},

author = {Youssef Khalifeh and Samer Israwi and Ralph Lteif and Raafat Talhouk},

url = {https://doi.org/10.3934/dcdss.2026175},

year  = {2026},

date = {2026-06-01},

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

abstract = {The KdV is one of the most widespread nonlinear models, commonly used by coastal engineers, to describe wave propagation in weakly nonlinear and weakly dispersive shallow water problems. In this paper, we investigate the solutions of the extended KdV equation, previously formally derived for both the velocity and the free-surface elevation, by analyzing its consistency with the extended Boussinesq equations. Combined with a stability result, this leads to a convergence result. This analysis enables us to derive new linear asymptotic models based on this equation. We then explicitly solve these new linear models and illustrate the residual behavior of the resulting approximate solutions through numerical computations for representative initial data. Finally, we analyze solitary-wave solutions of the extended KdV model and quantify its improved accuracy.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{subhra_chatterjee_4543,

title = {The Impact of Generative AI Servitization on Reward Mix Evaluation: The Equivocal Role of Job Demand and Job Resource},

author = {Rajat Subhra Chatterjee and Pavol Durana and Roman Blazek and Md Asadul Islam and Ranjan Chaudhuri and Sheshadri Chatterjee},

url = {https://doi.org/10.1002/jsc.70081},

year  = {2026},

date = {2026-06-01},

journal = {Strategic Change},

pages = {1-17},

abstract = {The advent of generative AI has permeated industries, with its direct impact on employees' jobs and work performance widely 

anticipated. Although studies have examined the cognitive and psychological impact of AI- embedded servitization, the evalu

ation of employees' rewards in relation to their organizational job- oriented perceptivity has received very little attention. This 

is critical, especially for small and medium- sized enterprises, where rewards significantly impact employee performance. The 

current study addresses this issue through a modular design that measures the direct and indirect effects of job- oriented positive 

and negative factors on employees' evaluation of their reward mix. The study draws on a combined theoretical background in 

digital servitization theory and the job demands-resources (JD-R) theory to examine the direct impact of generative AI imple

mentation on reward evaluation and the effect of job demand-  and job resource- oriented factors on this relationship. The survey 

method was used, and responses were collected from 329 manufacturing- based SMEs. The data analysis was conducted using 

structural equation modeling. The results showed a significant impact of the direct and moderate hypotheses on employees' eval

uation of perceived complexity in the reward mix. However, it also shows that perceptivity towards acquired job independence 

does not significantly affect the relationship between the serviceization and reward mix evaluation. The study provides several 

new contributions from conceptual, theoretical, and managerial perspectives. It extends the conceptualization of job demand- 

resources theory through the pioneer model design, which integrates digital servitization to examine the impact of generative 

AI implementation. It equips the SME managerial fraternity with a practical understanding of reward mix evaluation. The study 

provides new managerial implications for servitization and job design to enable a more effective reward orientation for organi

zational staff.},

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  = {2026},

date = {2026-05-01},

journal = {Corporate Social Responsibility And Environmental Management},

volume = {35},

number = {1},

pages = {3468-3488},

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 = {published},

tppubtype = {article}

}

@article{israwi_4376,

title = {On the variable depth Kawahara approximation},

author = {Samer Israwi and Ahmad Safa and Raafat Talhouk and Ibtissam Zaiter},

url = {https://dx.doi.org/10.4310/CMS.260505111440},

year  = {2026},

date = {2026-05-01},

journal = {Communications In Mathematical Sciences},

volume = {24},

number = {5},

pages = {1373-1402},

abstract = {The Kawahara equation is a higher-request Korteweg-de Vries equation with an extra fifth order derivative term. It was inferred by Hasimoto [Water waves, Kagaku, 40:401-408, 1970 (Japanese)] as a model of the gravity waves in a vastly long channel over a flat bottom in a long wave with surface tension. In 2008, Iguchi [Bull. Inst. Math. Acad. Sin. (N.S.), 2:179-220, 2008] gave a mathematically rigorous justification of this modeling and demonstrated that the solution of the Kawahara equation approximates the full Euler problem of cappilary-gravity waves and he considered the situation where the bottom is not flat and its fluctuation is small and determined coupled Kawahara type equations whose solutions approximate the Euler problem. In this paper, we derived the Kawahara-type equation over an uneven bottom that generalizes the Kawahara equation in the previously mentioned work by Iguchi and we prove its consistency with the Euler system. After that, we propose a regularized-approximate version up to the good order (i.e. order of derivation of the Kawahara equation) and then we prove its unconditional well-posedness. Finally, we perform a numerical simulation on the Kawahara equation and its approximation equation and we verify numerically the coherence of the order of approximation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{grunspan_4380,

title = {Arbitrable stochastic games: three variations of the heads-or-tails game for bitcoin},

author = {Cyril Grunspan and Ricardo Pérez-Marco},

url = {https://doi.org/10.1017/S0269964826100308},

year  = {2026},

date = {2026-05-01},

journal = {Probability In The Engineering And Informational Sciences},

pages = {1-20},

abstract = {We introduce the concept of arbitrable stochastic games, which appears to be new. To do so, we consider a reward criterion different from the standard gamma-weighted criterion. This allows us to define the fair price to play a noncompetitive stochastic game. We then illustrate the concept through three variations of the classical coin-toss game with chips, providing proofs via Doob's theorem for supermartingales and practical algorithms. These examples

deepen our understanding of the Bitcoin protocol.},

note = {We introduce the concept of arbitrable stochastic games, which appears to be new. To do so, we consider a reward criterion different from the standard gamma-weighted criterion. This allows us to define the fair price to play a non-competitive stochastic game. We then illustrate the concept through three variations of the classical coin-toss game with chips, providing proofs via Doob's theorem for supermartingales and practical algorithms. These examples deepen our understanding of the Bitcoin protocol.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{kumar_4436,

title = {Enhancing organizational readiness for generative AI integration: an empirical investigation},

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

url = {https://doi.org/10.1108/IJOA-03-2025-5310},

year  = {2026},

date = {2026-05-01},

journal = {International Journal of Organizational Analysis},

volume = {34},

number = {6},

pages = {1954-1977},

abstract = {Purpose



Based on extended technology, organization and environment (TOE) theoretical framework, the purpose of this study is to investigate the influence of generative artificial intelligence (AI) enablers (GAIEs) and generative AI readiness (GAIR) constructs on the generative AI adoption intention (GAII). This exploration is facilitated through the mediation of top management support and moderation of environmental factors (EFs).

Design/methodology/approach



To empirically validate the framework, this study uses PLS-SEM technique. Data is collected from 425 owners and managers from IT companies in Pune, India ensuring adherence to recommended sample size guidelines.

Findings



This study brings light to the intricate relationships between GAIEs, GAIR and GAII, considering the impact of MS and EF. It is found that GAIEs and GAIR factors significantly impact GAII.

Research limitations/implications



This study contributes to theoretical understanding by expanding existing literature using extended TOE framework considering generative AI adoption. This research also holds significance for practitioners seeking insights into the readiness to GAII. However, the data were collected from respondents in Pune (India), which hinders generalizability of the results. The study results depend on cross-sectional data which could have causality and endogeneity defects.

Originality/value



Previous studies have mainly focused on AI or related technologies, leaving a noticeable gap in the literature concerning readiness specifically for generative AI which the present study fills.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{putterich_4452,

title = {Overview of the ASDEX Upgrade results},

author = {T. Putterich and F. Albrecht and E. Alessi and S. An and Clemente Angioni and F. Antlitz and N. Arden and B. Artigues and M. Astrain and M. Balden and A. Banon Navarro and A. Gergmann and M. Bergmann and M. Bernert and Alessandro Biancalani},

url = {https://iopscience.iop.org/article/10.1088/1741-4326/ae61c8},

year  = {2026},

date = {2026-05-01},

journal = {Nuclear Fusion},

volume = {66},

pages = {116002},

abstract = {After a 26-month vent ASDEX Upgrade (AUG) went back in operation with a newly designed upper W-divertor suitable for alternative divertor configurations (featuring in-vessel coils and cryo-pump). Parameter scans and an extensive set of measurements were obtained and their interpretation is ongoing. Prompted by the ITER wall change, dedicated experiments on non-boronized plasma startup were contrasted to that employing asymmetric and more symmetric boronizations. The asymmetric boronization proved to be as beneficial as the more symmetric one, which is in contrast to previous model calculations assuming perfect sticking of boron (measurements suggest sticking ??0.3). In the startup phase also the impurity influxes at the outboard limiters were investigated contrasting the unboronized case featuring cold edges (low-Z radiation) to the boronized case, in which the lifetime of the boron layers could be estimated. Pedestal stability investigations revealed that the quasi-continuous exhaust (QCE) regime is obtained when ballooning modes are active in the vicinity of the separatrix and the global peeling-ballooning stability is high enough. Thus, at high enough shaping and high gas flux both can be achieved and QCE is a consequence. The closely related enhanced D-alpha (EDA) mode is not clearly distinguishable from QCE, e.g. the quasi-coherent mode characteristic for EDA also shows up in QCE. In QCE the impurity transport is behaving benign as could be measured for Ne with a novel analysis method making use of a comprehensive set of CXRS measurements. For high radiative fractions the regime of the X-point radiator (XPR) is accessible at AUG and the understanding of its access conditions and behaviour is further developed. Due to the localized radiative cooling at the X-point the XPR can be well diagnosed and thus controlled. For negative triangularity shapes, further experiments at increased shaping resulted in strongly heated L-mode plasmas avoiding ELMs. Two integrated modelling approaches towards ITER suggested that core W-accumulation will be no issue for ITER and that the fusion yield in ITER may be Q?=?12 (i.e. ITPA20-IL scaling is too pessimistic). Further, investigations of the ITER ramp-down in AUG provide insights into maintaining position control. Various aspects of shattered pellet injection were investigated in AUG and one of the results show that with increasing Ne fraction the radiation during the current quench increases and the current decay becomes faster.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kumar_4457,

title = {Aligning technological advancement and ESG performance principles: exploring the role of socio-cultural sensitivity and AI-driven innovation capability},

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

url = {http://dx.doi.org/10.1080/0144929X.2026.2675624},

year  = {2026},

date = {2026-05-01},

journal = {Behaviour & Information Technology},

pages = {1-18},

abstract = {Prior studies have investigated the impact of customer pressures on the environment, social and 

governance (ESG) performance from the perspective of managers; however, the present study 

analyses this relationship from the perspective of customers. This study frames socio-cultural 

sensitivity as a contextual factor and examines customer perceptions of ESG performance and 

how customers pressure firms to adopt social value practices and circular economy practices. 

While examining these relationships, the study also evaluates the moderating impact of AI- 

driven innovation capability that has not been empirically examined in the prior literature. The 

study collected the data from 356 customers in Delhi-NCR using a random sampling technique. 

The proposed relationships were analysed using the structural equation modelling approach in 

SmartPLS. The results reveal the extent to which customers' perceptions of their pressures 

impact social value practices, circular economy practices and ESG performance for global value 

creation. The moderating role of AI-driven innovation capabilities was also investigated. The 

novelty of this study lies in evaluating customer perceptions instead of managerial perceptions. 

The study contributes to stakeholder and attribution theories and shows managers and 

practitioners how customers' perceptions of ESG influence their attitudes and behaviours 

towards the firm.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chaudhuri_3665,

title = {Assessing the economic and social impacts of greenwashing: moderating impact of big data analytics adoption},

author = {Ranjan Chaudhuri and Bindu Singh and Barnali Nag and Shivam Singh Bhadauria and Demetris Vrontis and Sumana Chaudhuri and Sheshadri Chatterjee},

url = {https://doi.org/10.1108/IJBM-07-2024-0440},

year  = {2026},

date = {2026-04-01},

journal = {International Journal Of Bank Marketing},

volume = {44},

number = {5},

pages = {827-848},

abstract = {Purpose - This study empirically examines the impact of greenwashing practices on consumers' intention to

purchase green products. It also investigates whether greenwashing has any impact on economic and social

risks. Moreover, this research captures the moderating impact of big data analytics (BDA) on the relationships

between intention to purchase green products and its predictors.

Design/methodology/approach - With the support of literature in the field of greenwashing, economics,

consumer behavior, as well as emerging technologies and theories on consumer behavior, a conceptual model is

developed. The model was validated using partial least squares (PLS) structural equation modeling (SEM)

technique considering 356 respondents from European countries who are aware of greenwashing practices.

Findings - This study highlights that greenwashing practices negatively impact people both economically and

socially. But greenwashing practices also have a profound impact on consumers' intention to purchase

ecofriendly products. It also demonstrates a significant moderating impact of big data analytics adoption on the

relationship between intention to purchase green products with its predictors.

Research limitations/implications - The study presentsinsights on greenwashing and itsimpact on society and

the economy. It also shows that technologies like BDA could help minimize the challenges of greenwashing

activities as well as the social and economic risks. Moreover, the study provides vital insights into the influence

of greenwashing practices on the intention to purchase green products. Finally, asthis is a cross-sectionalstudy,

there are some limitations.

Originality/value - This study takes a fresh look at greenwashing practices and BDA technology to overcome

some of the challenges. It provides a unique research model that is (1) unique in this research domain; (2)

International

Journal of Bank

Marketing

The current issue and full text archive of this journal is available on Emerald Insight at:

https://www.emerald.com/insight/0265-2323.htm

Received 30 July 2024

Revised 15 October 2024

2 January 2025

26 March 2025

Accepted 27 March 2025

International Journal of Bank Marketing

© Emerald Publishing Limited

e-ISSN: 1758-5937

p-ISSN: 0265-2323

DOI 10.1108/IJBM-07-2024-0440

provides a solid foundation for future researchersto further nurture; (3) extendsthe understanding of how using

technology can minimize the risks caused by greenwashing; and (4) contributes to the body of literature on

consumer behavior, economics, technology and social risks.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{singh_3669,

title = {Harmonious CSR and sustainable business excellence in sports-organization: evaluating the moderating effect of fan engagement},

author = {Kuldeep Singh and Shalini Ramaswamy and Ranjan Chaudhuri and Demetris Vrontis and Balakrishna Grandhi and Sumana Chaudhuri and Sheshadri Chatterjee},

url = {https://doi.org/10.1108/IJOA-11-2024-4976},

year  = {2026},

date = {2026-04-01},

journal = {International Journal of Organizational Analysis},

volume = {34},

number = {5},

pages = {1800-1823},

abstract = {Purpose - This study aims to develop and empirically test a conceptual model to examine harmonious

corporate social responsibility (CSR) initiatives of sports firms that are focused on sports education,

community development and sustainable livelihoods and their effects on organizational citizenship behaviors

(OCBs) and sustainable business excellence (SBE).

Design/methodology/approach - A conceptual model is proposed, which is derived from stakeholder theory

and social identity theory, along with related literature. The conceptual model was validated using mediation and

moderation analysis of the survey data from 384 respondents. PLS-SEM was used to assess the measurement

constructs and to examine the structural path relationships hypothesized in the proposed research framework.

Findings - The proposed model supports the hypotheses that harmonious CSR in sports, communities and

livelihoods nurtures greater OCBs, which improves organizational performance and SBE. Furthermore, it was

found that perceived corporate reputation does not moderate the OCB?performance link, whereas fan

engagement moderates the performance-sustainability relationship. The findings extend stakeholder theory

and social identity theory and they provide practical guidance on optimizing harmonious CSR strategies.

Research limitations/implications - This study has focused on a specific context, limiting the

generalizability of the findings. This provides opportunities for future researchers to explore the applicability

of the findings across different countries, enriching the outcomes with more generalizability. This study

depends on cross-sectional data inviting defects of causality and endogeneity.

Practical implications - There are several practical implications of this study. Sports organizations should

engage their stakeholders in CSR activities that will lead to improvement in business performance. Moreover,

sports organizations could improve their corporate reputation through investing in harmonious CSR activities

for the well-being of society.

Originality/value - To the best of the authors' knowledge, this is the first study to be conducted on how

harmonious CSR activities could achieve better sustainable business outcomes for sports organizations by

fostering a culture of social responsibility and thereby improving overall organizational performance. This was

a gap in previous research, which has been duly addressed in this study},

keywords = {},

pubstate = {published},

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  = {2026},

date = {2026-04-01},

journal = {The Bottom Line},

volume = {39},

number = {3},

pages = {341-358},

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 = {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},

pages = {1-24},

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{chatterjee_4369,

title = {Investigating the predictors and outcomes of social entrepreneurship in post-COVID-19 period: moderating role of dynamic technology capability},

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

url = {https://doi.org/10.1080/09537325.2023.2214633},

year  = {2026},

date = {2026-03-01},

journal = {Technology Analysis & Strategic Management},

volume = {38},

number = {3},

pages = {326-342},

abstract = {In the post-COVID-19 period, social entrepreneurship is becoming extremely important, as it generates employment, and improves economic prosperity and solves various issues for society. Not many studies have attempted to understand the social entrepreneurship phenomena in post-COVID-19 period and its impact on society. Thus, there is a research gap, which this study aims to fill. This paper aims to analyse the impacts of intellectual capital and entrepreneurial ability on social entrepreneurship, and its impact on society in the post-COVID-19 period, moderated by technology capability. By the inputs of literature and lending knowledge from theories, a research model is prepared. It was verified using structural equation modelling with data collected through a survey. The study finds that intellectual capital and entrepreneur ability both significantly and positively impact social entrepreneurship. This study implies that intellectual capital and entrepreneurial ability could impact social entrepreneurship when moderated by technology capability, which in turn has social impact in the post-COVID-19 period. Also, the study highlights the moderating role of technology capability on social entrepreneurship.},

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}

}