Science des données, transformation digitale, risques et systèmes complexes

@article{makki_3409,

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

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

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

year  = {2025},

date = {2025-08-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {548},

number = {1},

pages = {129382},

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

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

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

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

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

Dirichlet boundary conditions, and we introduce assumptions on the proliferation

term to ensure dissipativity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{molinet_3314,

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

author = {Luc Molinet and Raafat Talhouk},

url = {https://authors.elsevier.com/c/1kR-350k01EJ1},

year  = {2025},

date = {2025-04-01},

journal = {Journal Of Differential Equations},

volume = {423},

pages = {550-596},

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

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

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pubstate = {published},

tppubtype = {article}

}

@article{zhu_3394,

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

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

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

year  = {2025},

date = {2025-04-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {145},

pages = {110160},

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

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}

@article{zhang_3199,

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

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

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

year  = {2025},

date = {2025-03-01},

journal = {Information Fusion},

volume = {115},

pages = {102736},

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

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pubstate = {published},

tppubtype = {article}

}

@article{obbadi_3392,

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

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

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

year  = {2025},

date = {2025-03-01},

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

volume = {437},

pages = {117801},

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

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

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

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

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

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

keywords = {},

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tppubtype = {article}

}

@article{kumar_3251,

title = {From insight to impact: Unravelling the dynamics of big data-backed growth hacking},

author = {Vinod Kumar and Sachin Kumar and Ranjan Chaudhuri and Sheshadri Chatterjee and Alkis Thrassou and Georgia Sakka},

url = {https://www.sciencedirect.com/science/article/pii/S0148296324005873?via%3Dihub},

year  = {2025},

date = {2025-02-01},

journal = {Journal Of Business Research},

volume = {188},

pages = {115083},

abstract = {The rise of growth hacking, fuelled by big data analytics, poses a challenge for scholars and executives alike, with

limited research at their intersection. This article aims to fill the knowledge gap by focusing on the integration of

big data analytics and growth hacking. Extant theory suggests that incorporating big data cultivates marketing

ambidexterity, especially when moderated by environmental dynamism. The synergistic interplay between big

data analytics and marketing ambidexterity is postulated to enhance firm marketing capabilities, manifesting

itself as growth hacking. The present study develops a corresponding scale on growth hacking and empirically

validates the proposed theoretical framework. Data have been collected from businesses that have used growth

hacking tactics, regardless of their timeframe or resource investment, in two phases and adhering to requisite

sampling size and techniques. The relationships between all variables were found to be significant except the

impact of firm marketing capabilities on customer regain and maintenance. Environmental dynamism was found

to moderate significantly big data analytics and marketing ambidexterity. This study enriches the growth

hacking literature by shedding light on the intricate relationship between big data analytics and strategic

business growth. The findings are also significant to industry, as they arm executives with new and practicable

knowledge towards harnessing growth hacking strategies and securing a competitive edge.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{korger_3326,

title = {Modulational instability of geodesic-acoustic-mode packets},

author = {David Korger and Emanuele Poli and Alessandro Biancalani and Alberto Bottino and Omar Maj and Juvert Njeck Sama},

url = {https://doi.org/10.1017/S0022377824001284},

year  = {2025},

date = {2025-02-01},

journal = {Plasma Physics And Controlled Fusion},

volume = {91},

pages = {E17},

abstract = {Isolated, undamped geodesic-acoustic-mode (GAM) packets have been demonstrated to

obey a (focusing) nonlinear Schrödinger equation (NLSE) (E. Poli, Phys. Plasmas, 2021).

This equation predicts susceptibility of GAM packets to the modulational instability (MI).

The necessary conditions for this instability are analysed analytically and numerically

using the NLSE model. The predictions of the NLSE are compared with gyrokinetic

simulations performed with the global particle-in-cell code ORB5, where GAM packets

are created from initial perturbations of the axisymmetric radial electric field E r . An

instability of the GAM packets with respect to modulations is observed both in cases in

which an initial perturbation is imposed and when the instability develops spontaneously.

However, significant differences in the dynamics of the small scales are discerned between

the NLSE and gyrokinetic simulations. These discrepancies are mainly due to the radial

dependence of the strength of the nonlinear term, which we do not retain in the solution

of the NLSE, and to the damping of higher radial spectral components k r . The damping

of the high- k r components, which develop as a consequence of the nonlinearity, can be

understood in terms of Landau damping. The influence of the ion Larmor radius ? i as well

as the perturbation wavevector k pert on this effect is studied. For the parameters considered

here the aforementioned damping mechanism hinders the MI process significantly from

developing to its full extent and is strong enough to stabilize some of the (according to the

undamped NLSE model) unstable wavevectors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{singh_3397,

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

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

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

year  = {2025},

date = {2025-02-01},

journal = {Computers & Industrial Engineering},

pages = {110943},

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

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pubstate = {online},

tppubtype = {article}

}

@article{singh_3406,

title = {Knowledge Management and Organizational Resilience in MSMEs: The Intervening Role of Innovation Orientation},

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

url = {https://onlinelibrary.wiley.com/doi/10.1002/jsc.2640},

year  = {2025},

date = {2025-02-01},

journal = {Strategic Change},

abstract = {The relationship between knowledge management (KM) and organization performance has been thoroughly studied. However,

there is still a research gap to determine other factors that could influence this relationship. One significant component is innovation,

and we need to consider the size and age of the organization to determine how innovation influences organizational resilience

(OR). A few studies discussed innovation and knowledge management; however, they usually focus on large firms. This

study is based on MSMEs in India. In this study, we analyzed how innovation can link between KM and OR. We examined three

components of KM in our research: knowledge generation (KG), knowledge transfer (KT), and knowledge acquisition (KA). We

obtained responses from 336 respondents who took part in this study. We used PLS-SEM

to analyze the data. The findings indicate

that innovation plays an essential role in establishing a relationship between KM and OR. Firm age is found as a significant

moderating factor of this relationship. It implies that, to be robust, older enterprises in MSMEs should prioritize both KM and

innovation. This study can serve as a useful resource for MSMEs that wish to learn more about the role of innovation in utilizing

KM and OR.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{rai_3452,

title = {Uncorking the psychological factors behind habits and NoLo wine preferences},

author = {Krupa Rai and Antonino Galati and Sheshadri Chatterjee and Ranjan Chaudhuri and Demetris Vrontis and Giuseppina Migliore},

url = {http://dx.doi.org/10.1108/BFJ-10-2024-0998},

year  = {2025},

date = {2025-02-01},

journal = {British Food Journal},

abstract = {Purpose - The consumption of no-and low-alcohol (NoLo) wines has emerged as a growing trend among Italian

millennials, reflecting a shift towards healthier and more mindful drinking habits. This paper delves into the

social factors driving this trend, employing the rational of habit theory to provide a comprehensive

understanding of NoLo wines consumption as a social behaviour among Italian millennials.

Design/methodology/approach - The research design comprises symmetrical and asymmetrical approach.

The study employs Cluster and fsQCA to understand the granularities of NoLo wine consumption.

Findings - The present study reveals that young adults are willingness to pay (WTP) more for NoLo wine in

exchange of improved health benefits as a reward. The contrarian observation of relatively consumers with low

average income exhibiting the high willingness to pay more for NoLo wine.

Research limitations/implications - The sample islimitedto Italyand skewed in terms ofNoLowine consumption.

The participants were aware of NoLo wine but did not consume it in the past year. The study identified the

paradoxical stance of low average family income group exhibiting more willingness-to-pay for de-alcoholised wine.

Practical implications - Firstly, young adults are increasingly health-conscious,seeking alternativesto alcohol

that promote well-being and reduce health risks associated with excessive alcohol consumption. Secondly,

mindfulness practices have gained popularity among young adults for altering self-perception, leading to a

preference for beverages that align with mindful consumption and stress reduction. NoLo wine offers a suitable

alternative, providing a similar sensory experience without the intoxicating effects of alcohol.

Social implications - Habit theory, pioneered by James (1890), posits that habits are formed through a three-stage

process: cue,routine and reward.In the context of NoLo wine consumption, cues can include social gatherings, dining

occasions orstressrelieftriggers. The routine involvesthe act of consuming NoLo wine, while the reward stemsfrom

the perceived benefits of this wine, such as reduced alcohol intake, improved health and social acceptance. The

prevalence of NoLo wine consumption among Italian young adults can be attributed to a confluence ofsocialfactors.

Originality/value - The paper attempts to evaluate the contrarian case using fsQCA and the conceptual

configuration of necessary conditions, viz. self-perception, social norms and health-consciousness.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{el-amrani_3162,

title = {A fractional time-stepping method for unsteady thermal convection in non-Newtonian fluids},

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

url = {https://www.sciencedirect.com/science/article/pii/S1007570424005355},

year  = {2025},

date = {2025-01-01},

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

volume = {140},

number = {Part 1},

pages = {108350},

abstract = {We propose a fractional-step method for the numerical solution of unsteady thermal convection in non-Newtonian fluids with temperature-dependent physical parameters. The proposed method is based on a viscosity-splitting approach, and it consists of four uncoupled steps where

the convection and diffusion terms of both velocity and temperature solutions are uncoupled while a viscosity term is kept in the correction step at all times. 

This fractional-step method maintains the same boundary conditions imposed in the original problem for the corrected velocity solution, and it eliminates all inconsistencies related to boundary conditions for the

treatment of the pressure solution. In addition, the method is unconditionally stable, and it allows the temperature to be transported by a non-divergence-free velocity field. In this case, we introduce a methodology to handle the subtle temperature convection term in the error analysis

and establish full first-order error estimates for the velocity and the temperature solutions and 1?2-order estimates for the pressure solution in their appropriate norms. Three numerical examples are presented to demonstrate the theoretical results and examine the performance of the proposed method for solving unsteady thermal convection in non-Newtonian fluids. The computational results obtained for the considered examples confirm the convergence, accuracy, and applicability of the proposed time fractional-step method for unsteady thermal convection in non-Newtonian fluids.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{paty_3212,

title = {IoT-Enabled Methane Monitoring and LSTM-Based Forecasting System for Enhanced Safety in Underground Coal Mining},

author = {Soumyadeep PATY and Arindam BISWAS and Sonia Djebali and Guillaume Guérard and Supreeti KAMILYA},

url = {https://dl.acm.org/doi/pdf/10.1145/3703460},

year  = {2025},

date = {2025-01-01},

journal = {ACM Transactions on Internet of Things},

volume = {6},

number = {1},

abstract = {Ensuring safety in the mining industry is a critical concern for a nation's industrial advancement. Industry 4.0, characterized by the integration of advanced technologies, is at the forefront of efforts to enhance mining practices. Coal seams contain a range of

hydrocarbon gases, predominantly methane, which is released in significant quantities during mining operations. Effectively

mitigating methane emissions is imperative. The inclusion of methane forecasting allows for the early identification of potential methane emissions, hence results in significance enhancement in mine safety. The research work is focused on real-time remote monitoring and cloud-based forecasting of methane levels in underground coal mines. An Industrial Internet of Things (IIoT) device is developed for data acquisition in underground coal mines, capturing essential parameters such as methane concentration,

temperature, and humidity. The collected data are utilized to train LSTM based multivariate forecasting model. The trained model is

subsequently deployed in the cloud. The experiment is performed in a mine of Eastern Coalfields Limited, India. After the deployment

of the proposed model, the developed IIoT device transmits real-time data, obtained from the mine, to the cloud. Based on the real

time data, our model conducts methane forecasting and communicates results back to the IIoT device. The device issues immediate

alerts when methane levels surpass predefined thresholds. This ensures enhanced safety in mining operations by providing warnings

for both current and forecasted methane concentrations. The forecasted methane concentrations, along with real-time data, are

accessible through mobile applications and a web-based dashboard. The accuracy of the proposed model is measured by mean

absolute error, mean absolute percentage error and root mean square error, which demonstrate values of 156.95 ppm, 4.23% and

191.53 ppm respectively. A comparative study is performed where our model is evaluated against the multivariate Multilayer

Perceptron (MLP), Vector autoregression (VAR) and Auto-Regressive Integrated Moving Average (ARIMA) models. The comparative

study demonstrates that our developed model outperforms the others, showing superior results.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{benjira_3275,

title = {Automated mapping between SDG indicators and open data: An LLM-augmented knowledge graph approach},

author = {Wissal Benjira and Faten Atigui and Benedicte Bucher and Malika Grim-Yefsah and Nicolas Travers},

url = {https://www.sciencedirect.com/science/article/pii/S0169023X24001290},

year  = {2025},

date = {2025-01-01},

journal = {Data & Knowledge Engineering},

pages = {102405},

abstract = {Meeting the Sustainable Development Goals (SDGs) presents a large-scale challenge for all countries. SDGs established by the United Nations provide a comprehensive framework for addressing global issues. To monitor progress towards these goals, we need to develop key performance indicators and integrate and analyze heterogeneous datasets. The definition of these indicators requires the use of existing data and metadata. However, the diversity of data sources and formats raises major issues in terms of structuring and integration. Despite the abundance of open data and metadata, its exploitation remains limited, leaving untapped potential for guiding urban policies towards sustainability. Thus, this paper introduces a novel approach for SDG indicator computation, leveraging the capabilities of Large Language Models (LLMs) and Knowledge Graphs (KGs). We propose a method that combines rule-based filtering with LLM-powered schema mapping to establish semantic correspondences between diverse data sources and SDG indicators, including disaggregation. Our approach integrates these mappings into a KG, which enables indicator computation by querying graph's topology. We evaluate our method through a case study focusing on the SDG Indicator 11.7.1 about accessibility of public open spaces. Our experimental results show significant improvements in accuracy, precision, recall, and F1-score compared to traditional schema mapping techniques.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{ghizzo_3325,

title = {Internal transport barrier triggered by phase synchronization of zonal flow with energetic particle modes},

author = {Alain Ghizzo and Daniele Del Sarto and Juvert Njeck Sama and Alessandro Biancalani},

url = {https://doi.org/10.1088/1361-6587/ad9be6},

year  = {2025},

date = {2025-01-01},

journal = {Plasma Physics And Controlled Fusion},

volume = {67},

number = {1},

pages = {015016},

abstract = {The suppression of the microturbulence associated to the emergence of a spontaneous internal transport barrier has been recently demonstrated in a system showing a possible amplification of the zonal flow component in the low-frequency regime (Ghizzo and Del Sarto 2023 Nucl. Fusion 63 104002). We use here numerical experiments performed with a 'particles modes' model based on a double average over the fast cyclotron phase and over the bounce (or transit) phase to show the major role played by energetic particles and shear flows in this scenario. 'Particle modes' are meant here as classes of particles, identified by some adiabatic invariant after a gyro-average procedure, which are associated to the description of some specific linear modes of the plasma. The introduction of energetic circulating ions or shear flows into the system makes a larger number of particle modes being involved in the synchronization process. A global synchronization of the Fourier modes of the turbulent spectrum can be this way achieved. This process allows for a bifurcation towards self-organization, which is associated to the emergence of a staircase-like structure. This is known to be an essential element in the modification of the zonal flow pattern in phase space during the suppression of microturbulence in tokamaks.},

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tppubtype = {article}

}

@article{zalan_3108,

title = {A nascent market for digital assets: Exploration of consumer value of NFTs},

author = {Tatiana ZALAN and Elissar Toufaily},

url = {https://www.sciencedirect.com/science/article/pii/S2666954424000127?via%3Dihub},

year  = {2024},

date = {2024-12-01},

journal = {Digital Business},

volume = {4},

number = {2},

pages = {100084},

abstract = {Despite widespread academic and practitioner interest in non-fungible tokens (NFTs) as a form of digital assets, little is known about how consumers perceive NFT value. This exploratory research investigates why people create, trade or collect NFTs, what value they derive from them, and how online communities contribute to value co-creation. Over the course of two rounds, we interview 38 participants, most of whom are digital natives. We find that engaging with NFTs is the new form of day trading, reflecting financialization of everyday life. The value of NFTs is mainly speculative and utilitarian, and NFTs themselves are best thought of as derivatives. Value co-creation in NFT project communities is largely focused on gaining superior information about the project. We contribute to the crypto-marketing and web3 literature by advancing a novel model of NFT consumer value that extends Holbrook's (1999) typology and distinguishes both positive and negative aspects of consumer value that have been overlooked in mainstream literature. We shed light on the role of communities in an unusual setting: a nascent, illiquid, speculative, informationally opaque market for digital assets. Our study helps creators and brand managers to develop effective NFT strategies.},

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pubstate = {published},

tppubtype = {article}

}

@article{hakiri_3112,

title = {Special Issue on Digital Twin for Future Networks and Emerging IoT Applications},

author = {Akram Hakiri and Sadok Ben Yahia and Aniruddha GOKHALE and Nédra Mellouli},

url = {https://www.sciencedirect.com/special-issue/10FFXQK3NWS},

year  = {2024},

date = {2024-12-01},

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

volume = {161},

pages = {81-84},

abstract = {The rapid evolution of digital technologies has given rise to the concept of Digital Twin, a dynamic, virtual representation of physical systems, processes, and environments. This special issue delves into the transformative potential of Digital Twins in the realm of future networks and emerging Internet of Things (IoT) applications. By integrating advanced simulation, real-time data analytics, and machine learning, Digital Twins offer unprecedented opportunities for optimizing network performance, enhancing predictive maintenance, and enabling smarter IoT solutions.

The articles in this issue explore a variety of topics, including the development and implementation of Digital Twins for next-generation communication networks, the role of artificial intelligence in enhancing the fidelity and utility of Digital Twins, and the application of these technologies in diverse IoT domains such as smart cities, healthcare, industrial automation, and environmental monitoring. Emphasis is placed on innovative methodologies, case studies, and experimental results that highlight the practical benefits and challenges associated with deploying Digital Twins in real-world scenarios.

Through this special issue, we aim to provide a comprehensive overview of the current state of research and development in Digital Twins, underscore the technological advancements driving their adoption, and discuss future directions and open research questions. This collection of works serves as a valuable resource for researchers, practitioners, and policymakers interested in harnessing the power of Digital Twins to revolutionize network infrastructures and IoT ecosystems.},

note = {Numéro spécial dans le journal Future Generation Computer Systems},

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@article{fontelos_3145,

title = {Self-similar solutions, regularity and time asymptotics for a nonlinear diffusion equation arising in game theory},

author = {Marco A. Fontelos and Nastassia Pouradier Duteil and Francesco Salvarani},

url = {https://www.sciencedirect.com/science/article/abs/pii/S1468121824000920},

year  = {2024},

date = {2024-12-01},

journal = {Nonlinear Analysis-Real World Applications},

volume = {80},

pages = {104152},

abstract = {In this article, we study the long-time asymptotic properties of a non-linear and non-local equation of diffusive type which describes the rock-paper-scissors game in an interconnected population. We fully characterize the self-similar solution and then prove that the solution of the initial-boundary value problem converges to the self-similar profile with an algebraic rate.},

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pubstate = {published},

tppubtype = {article}

}

@article{deteix_3161,

title = {An iterative split scheme for steady flows with heterogeneous viscosity},

author = {Jean Deteix and Driss Yakoubi},

url = {https://www.sciencedirect.com/science/article/pii/S0045782524006467},

year  = {2024},

date = {2024-12-01},

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

volume = {423},

number = {Part A},

pages = {117391},

abstract = {This paper proposes a numerical scheme for the approximation of the solution of the Stokes or steady Navier-Stokes system for fluids with heterogeneous viscosity (generic bounded viscosity or shear thinning fluids). The scheme is based on a velocity-pressure splitting resembling

a Uzawa approach combined with a grad-div stabilizing term. We establish the validity, convergence and a priori estimates for this strategy. A simpler mixed approach is also presented and studied. Numerical tests using a manufactured solution are provided, giving estimates for the accuracy order and sensitivity to the stabilizing coefficient. For more realistic numerical

experiments, we present results for the lid-driven cavity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ja_3172,

title = {Dynamic fluid flow model for phosphate slurry pipeline: OCP main pipeline as case study},

author = {Ahmed Ja and Saad Benjelloun and Jean Michel Ghidaglia and Faical Ait Lahbib},

url = {https://www.sciencedirect.com/science/article/abs/pii/S030193222400288X},

year  = {2024},

date = {2024-12-01},

journal = {International Journal Of Multiphase Flow},

volume = {181},

pages = {105011},

abstract = {The transportation of phosphate slurry through large-scale pipelines presents significant challenges due to the complex behavior of multiphase flows, particularly with varying solid content, density, and dynamic viscosity. Efficient and accurate prediction of flow behavior is critical for optimizing the operation of such pipelines. This work aims to develop a dynamic computational model to simulate phosphate slurry flow in pipelines. The case study focuses on the OCP Group's main slurry pipeline, which links the mining sites at Khouribga to the industrial plants at Jorf Lasfar, Morocco. This pipeline system spans a total length of 187.124 km, consisting of 5237 pipes with an inner diameter ranging from 0.8546 m to 0.8578 m, and features several elevation changes along its ground level. Using a section-averaged, dynamic approach and the Finite Volume scheme, the model computes essential flow parameters, including density, dynamic viscosity, and pressure, for the incompressible and non-Newtonian slurry and process water flows. The model's accuracy is validated against on-site measured data, showing an average deviation of ±0.32% for outlet density, and below 10% for pressure along the pipeline, underscoring the model's reliability. Additionally, a sensitivity analysis was conducted to illustrate the impact of key parameters on the predicted head losses and pressures along the pipeline. This analysis shows that the slurry viscosity is the most critical parameter, significantly influencing these predictions. This model provides high accuracy and reasonable CPU time for real-time simulation and monitoring, while also offering significant potential for optimizing pipeline operations and ensuring the reliability of phosphate transport.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ahmad_3183,

title = {Assessing the impact of the sharing economy and technological innovation on sustainable development: An empirical investigation of the United Kingdom},

author = {Najid Ahmad and Duc Khuong Nguyen and Xian-Liang Tian},

url = {https://www.sciencedirect.com/science/article/pii/S0040162524005419?dgcid=coauthor},

year  = {2024},

date = {2024-12-01},

journal = {Technological Forecasting And Social Change},

volume = {209},

pages = {123743},

abstract = {This study adds to the existing literature on the sharing economy by critically evaluating its macro-level impacts and those of technological innovation on sustainability in the United Kingdom, where more than 60% of the population participates in the sharing economy activities. We apply the autoregressive distributed lags model and fully modified ordinary least squares approach to examine 37 years of historical data and elicit robust findings. Our main results are threefold. First, while an initial rise in the sharing economy does not lead to short-run changes in sustainable development, its impact becomes positive in the long run and advances sustainable development. Second, sustainable development is a long-term process to which technological innovation positively contributes, irrespective of the short or long run. Third, domestic and foreign investors positively contribute to sustainability, while economic growth has an inverted U-shape relation with sustainable development. These findings thus suggest that the sharing economy and innovation help boost real-world development and promote a circular economy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kefi_3254,

title = {AI-enabled social support chatbot usage: flowing ambivalence and liminalities},

author = {Hajer Kefi and Insaf Khelladi and Zied Mani and Nathalie Veg-Sala},

url = {https://www.tandfonline.com/doi/full/10.1080/12460125.2024.2443226},

year  = {2024},

date = {2024-12-01},

journal = {Journal of Decision Systems},

pages = {1-24},

abstract = {Interest in social and emotional support chatbots has recently surged, making human - chatbot relationships increasingly common. However, users' subjective experiences with these chatbots often extend beyond simple interactions, reflecting the complex dynamics of liminality and ambivalence. Through a netnographic study of the chatbot Replika, we explore how users experience relational liminality, and control and agency liminality. These dynamics contribute to what we term flowing ambivalence, where users feel both comforted and unsettled, fostering dependency on chatbots despite an awareness of their artificial empathy. Our findings suggest that emotional support chatbots provoke complex emotional states that fluctuate and adapt, underscoring the need for nuanced frameworks to understand how users relate to AI tools.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{rai_3308,

title = {Digital innovation and automation of business processes using quick response code: advancing the means-end chain theory},

author = {Krupa Rai and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Antonino Galati},

url = {https://www.emerald.com/insight/content/doi/10.1108/bpmj-05-2024-0339/full/html},

year  = {2024},

date = {2024-12-01},

journal = {Business Process Management Journal},

abstract = {Purpose - The purpose of the research is to investigate customer shopping behaviour for Italian market, extra

virgin olive oil (EVOO) using the quick response (QR) code. The study uses means-end chain (MEC) theory to

explore the connections between product attributes, personal values and consumer preferences.

Design/methodology/approach - The theory of means-end chain helps to uncover the underlying reasons why

consumers choose specific products by examining the links between tangibles. There is a conceptual model

developed with the help of MEC. The conceptual framework comprises product information and marketing

communication, which constitute the sensory and non-sensory aspects of consumption behaviour, and it is

empirically tested by CB-SEM technique. QR code usefulness and loyalty are treated as mediators to evaluate

shopping behaviour to purchase EVOO.

Findings - The study has used MEC theory and has extended this theory. This study found that there is a

profound impact of technology (QR code) on the buying behaviour of EVOO for the Italian customers. This

study has also found that product information and product communication play a critical role towards shopping

behaviour of Italian consumers regarding EVOO related products.

Research limitations/implications - Innovation and technology adoption, especially the use of QR codes in

understanding product features, has been an attractive area for research exploration. This could include details

about the product's origin, production methods and nutritional information. Such technology and innovation can change the business process management landscape of food-product distribution process. Not many studies are

available which examine customers' interest and shopping behaviour using QR codes, especially in the context

of EVOO. Thus, this research study has a profound impact on the Italian and other European market.

Originality/value - In the Italian market, EVOO is more than just a product, it is a symbol of tradition, quality

and cultural heritage. EVOO is not just a condiment, it is an essential ingredient that contributes to the overall

flavour of dishes. This study explores the usage of QR code for EVOO related products. This is a unique study as

there are a very few research studies available in this area of business process management and technology usage

related to EVOO products. Moreover, this research study adds values to the body of literature of business process

management, technology usage, innovation and food technology. Thus, this study is unique and adds value to the

existing literature.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{kumar_3311,

title = {Innovation capability and R&D performance of organizations: moderating role of industry-academic knowledge transfer},

author = {Vinod Kumar and Sachim KUMAR and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Saeedeh Rezaee Vessal},

url = {https://www.emerald.com/insight/content/doi/10.1108/jkm-02-2024-0175/full/html},

year  = {2024},

date = {2024-12-01},

journal = {Journal Of Knowledge Management},

abstract = {Purpose



This study aims to examine how an organization's innovation capability could influence research and development (R&D) performance. It also investigates if industry-academic knowledge transfer has a moderating relationship between organizational innovation capability and exploration and exploitative innovation in improving the R&D performance of the organizations.

Design/methodology/approach



Based on the literature and dynamic capability view, a conceptual model was developed and then validated using the partial least squares-structural equation modeling technique considering 387 responses from academicians and industry personnel.

Findings



The study found that industry-academic knowledge transfer has a significant moderating impact toward improving innovation capability, organizations' R&D performance and exploration innovation. However, it has an insignificant moderating impact on improving innovation capability and exploitative innovation.

Practical implications



Organizational innovation capability is characterized by both exploratory and exploitative innovation. Both types of innovation support the R&D performance of an organization. Also, organizations that closely work with academic institutions could gain significant R&D knowledge from academic expertise. This study provides food for thought for the academic community as well as industry policymakers.

Originality/value



There are significant opportunities for academic institutions to gain practical knowledge from industry which can help them to accelerate their R&D activities. However, transferring knowledge between industry and academia has challenges related to intellectual property, patents and so on. Not much research has been conducted in this area. Thus, the proposed research model is unique and adds to the existing literature.

Keywords},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{boudin_1894,

title = {A kinetic model of polyatomic gas with resonant collisions},

author = {Laurent Boudin and Alex Rossi and Francesco Salvarani},

url = {https://doi.org/10.1007/s11587-022-00733-1},

year  = {2024},

date = {2024-11-01},

journal = {Ricerche Di Matematica},

volume = {73},

pages = {2411-2424},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2917,

title = {Bright and dark sides of adopting a platform-based sharing economy business model},

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

url = {https://onlinelibrary.wiley.com/doi/epdf/10.1111/radm.12650},

year  = {2024},

date = {2024-11-01},

journal = {R&D Management},

volume = {54},

number = {5},

pages = {1145-1165},

abstract = {The sharing economy is primarily a socio-economic concept that is built upon organizations sharing resources between each other. It includes sharing a single platform by multiple organizations. These organizations can be rivals competing in the same marketplace. Often, organizations can share their employees, data, and other resources. Although there are multiple benefits in a platform-based sharing economy business model, there are some ethical concerns, too. Limited studies have extensively investigated how adopting a platform-based sharing economy business model could provide both opportunities and challenges impacting the intention of the organizations to adopt this model. From such a perspective, this study aims at an in-depth investigation of employees' perceptions regarding the intention of adopting sharing economy models through which organizations could enjoy various benefits that overcome the risks. With the help of a resource-based view with other theories and the extant literature, a conceptual model has been developed, which later has been validated using the PLS-SEM technique considering 376 responses from different organizations in India. This study has demonstrated how the benefits derived from adopting a platform-based sharing economy business model overcome the risks involved and could motivate organizations to intend to adopt such a business model.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhary_2935,

title = {A study of ?organizational identification? during 1965-2022: a bibliometric analysis},

author = {Swati Chaudhary and Aditi Gupta and Apoorva A. and Ranjan Chaudhuri and Vijay Pereira and Sheshadri Chatterjee and Sumana Chaudhuri},

url = {https://www.emerald.com/insight/content/doi/10.1108/IJOA-10-2023-4025/full/html},

year  = {2024},

date = {2024-11-01},

journal = {International Journal of Organizational Analysis},

volume = {32},

number = {10},

pages = {2205-2235},

abstract = {Purpose

This paper aims to examine the evolution of organizational identification (OI) research over the past five decades and its journey through various lenses, such as the collaborative network of authors, organizations and countries. The conceptual and intellectual structure of the construct is analysed via keywords and co-citation pattern mapping.



Design/methodology/approach

OI research is rising in popularity, with 118 papers published in 2019, 168 papers in 2020 and 15 publications till February 2021 in the Scopus database. The Scopus database is used to retrieve 55?years of OI studies published between 1965 and 2021. The free bibliometric tools Biblioshiny and VOSviewer are used to analyse 1,034 journal papers.



Findings

The result showed that R. Van Dick is the most influential author and the USA is the most involved country in OI research. As per the findings, the Journal of Organizational Behaviour published most of OI research and ?corporate social responsibility? and ?organizational commitment? seem to be the most used keywords alongside OI.



Research limitations/implications

This study will be highly beneficial to OI researchers making their understanding about the construct better. It will also encourage social psychologists to understand the construct utility in workplace social welfare programmes. The research could also help governments and funding bodies to evaluate grant requests. Furthermore, researchers from countries with the lowest proportion of OI studies would be encouraged to spend more time and effort in this area. It will offer insight into international marketing and how individuals and stakeholders perceive and connect with an organization globally.



Originality/value

To the best of the authors' knowledge, this study is one of the important research studies carried out in the domain of OI in the international context. This is also one of the few studies which is spread out across different disciplinary areas including international marketing and management. The success of this paper can open avenues and influence future researchers to study in the OI and related cross-disciplinary areas of international management.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{recuero_virto_2960,

title = {The exposure of non-human living organisms to mobile communication emissions:  A survey to establish European stakeholders' policy option preferences},

author = {Laura Recuero Virto and Arno Thielens and Marek Czerwinski and Jérémy Froidevaux},

url = {https://onlinelibrary.wiley.com/doi/10.1111/risa.14322},

year  = {2024},

date = {2024-11-01},

journal = {Risk Analysis},

volume = {44},

number = {11},

pages = {2554-2568},

abstract = {There is an unprecedent exposure of living organisms to mobile communications radio-frequency electromagnetic field emissions. Guidelines on exposure thresholds to limit thermal effects from these emissions are restricted to humans. However, tissue heating can occur in all living organisms that are exposed. In addition, exposure at millimetric frequencies used by 5G may impact surface tissues and organs of plants and small size species. It is also expected that the addition of 5G to existing networks will intensify radiofrequency absorption by living organisms. 



A European Parliament report proposed policy options on the effects of RF-EMF exposure of plants, animals and other living organisms in the context of 5G: funding more research, implementing monitoring networks, accessing more information from operators on antennas and electromagnetic field emissions, and developing compliance studies when antennas are installed. However, there is no evidence on the preferences of relevant stakeholders regarding these policy options. This paper reports the findings of a survey of key European stakeholders' policy option preferences based on the European Parliament's report. It reveals a broad consensus on funding more research on the effects of exposure of plants, animals, and other living organisms to electromagnetic fields. It also highlights the need for deliberation concerning the other policy options that could provide solutions for regulatory authorities, central administrations, the private sector, non-governmental associations and advocates, and academics. Such deliberation would pave the way for effective solutions, focusing on long-term output from funding research, and enabling short-term socially and economically acceptable actions for all parties concerned.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{modgil_3059,

title = {Blockchain-enabled supply chain finance strategies for a circular economy revolution},

author = {Sachin Modgil and Shivam Gupta and Bobo Zhang and Surajit Bag},

url = {https://onlinelibrary.wiley.com/doi/epdf/10.1002/bse.3853},

year  = {2024},

date = {2024-11-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {7},

pages = {7006-7020},

abstract = {This study is centred on introducing a distinctive landscape towards a circular economy powered by blockchain?enabled supply chain finance strategies. Our research examines five cases engaged in helping organisations achieve their circular economy targets. The objective is to establish a comprehensive framework for circular economy. Within these secondary data?based case studies, we identify the challenges faced by a typical linear economy and how modern and blockchain?driven platforms are helping businesses contribute to the circular economy. The outcome of our study proposes a three?step approach unveiling blockchain technologies, supply chain finance strategies and enablers of circular economy contributing to 10R principles. Our study underscores how these cases across the globe can serve as valuable examples to other organisations, encompassing sectors from manufacturing to core?service based such as e?commerce. These sectors involve complex supply chains, and hence, blockchain?enabled supply chain finance strategies can be a solution to foster a circular economy. In conclusion, our research not only provides theoretical and practical insights and implications for policymakers but also lays the groundwork for potential future research in this domain.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zaidni_3133,

title = {Thermodynamically consistent Cahn-Hilliard-Navier-Stokes equations using the metriplectic dynamics formalism},

author = {Azeddine Zaidni and Philip J. Morrison b and Saad Benjelloun},

url = {https://www.sciencedirect.com/science/article/pii/S0167278924002549},

year  = {2024},

date = {2024-11-01},

journal = {Physica D-Nonlinear Phenomena},

volume = {468},

pages = {134303},

abstract = {Cahn-Hilliard-Navier-Stokes (CHNS) systems describe flows with two-phases, e.g., a liquid with bubbles. Obtaining constitutive relations for general dissipative processes for such systems, which are thermodynamically consistent, can be a challenge. We show how the metriplectic 4-bracket formalism (Morrison and Updike, 2024) achieves this in a straightforward, in fact algorithmic, manner. First, from the noncanonical Hamiltonian formulation for the ideal part of a CHNS system we obtain an appropriate Casimir to serve as the entropy in the metriplectic formalism that describes the dissipation (e.g. viscosity, heat conductivity and diffusion effects). General thermodynamics with the concentration variable and its thermodynamics conjugate, the chemical potential, are included. Having expressions for the Hamiltonian (energy), entropy, and Poisson bracket, we describe a procedure for obtaining a metriplectic 4-bracket that describes thermodynamically consistent dissipative effects. The 4-bracket formalism leads naturally to a general CHNS system that allows for anisotropic surface energy effects. This general CHNS system reduces to cases in the literature, to which we can compare.},

note = {soumis février 2024},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jaffal-moutarda_3134,

title = {Convergence analysis of an efficient scheme for the steady state second grade fluid model},

author = {Basma Jaffal-Moutarda and Driss Yakoubi},

url = {https://doi.org/10.1016/j.cnsns.2024.108254},

year  = {2024},

date = {2024-11-01},

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

volume = {138},

pages = {108254},

abstract = {We are interested in studying the stationary second grade fluid model in a bounded domain in R2. To approximate the solution of the continuous model, we propose a fully decoupled numerical scheme based on a splitting method combined with the use of the Grad-Div operator. This approach allows the complete decoupling of the three variables: velocity, pressure and vorticity. Each variable is computed using an iterative procedure, with the pressure step involving a simple L2-projection. We provide a proof of the convergence of the scheme to the continuous problem under smallness assumptions on the data. This theoretical analysis ensures the reliability of our method in approximating the behavior of the stationary second grade fluid model. Finally, we present several numerical tests to validate our approach. These tests illustrate the effectiveness and efficiency of our scheme in various scenarios, highlighting its potential applicability to a wide range of problems involving second grade fluids.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sebe_3167,

title = {Environmentally Differentiated Port Dues: A Case Study for a Transparent Scheme},

author = {Maxime Sèbe and Laura Recuero Virto and Akoh Fabien Yao and Hervé Dumez},

url = {https://link.springer.com/article/10.1007/s10640-024-00921-7



https://doi.org/10.1007/s10640-024-00921-7},

year  = {2024},

date = {2024-11-01},

journal = {Environmental & Resource Economics},

volume = {87},

number = {11},

pages = {2993-3009},

abstract = {Gas emissions from ships are a major environmental concern of the international maritime

community. Market-based measures with incentive have been developed to reduce gas

emissions. One such measure is the differentiation of port dues through the provision of

rebates to environmentally friendly vessels. Existing research reveals several limitations

that hinder their actual impact on emissions, such as low rebate rates, the lack of

transparency of the schemes, and the costs for the port authorities, among other factors. Our

article reveals that differentiated schemes can be improved to elicit changes in the shipping

industry. Based on data from the Port of Tallinn, we develop an illustrative air emission

index to show how transparency in the scheme can be reconciled with environmental

targets. The brackets and rates of the scheme should be determined transparently based

on an ex ante target and on the distribution of the emission index of vessels that call at the

port. From a policy perspective, we highlight how such a transparent process can increase

compliance with the schemes and how surcharges are essential to the provision of attractive

rebates by preserving the financial stability of the port authority.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sama_3198,

title = {Ion temperature gradient mode mitigation by energetic particles, mediated by forced-driven zonal flows},

author = {Juvert Njeck Sama and Alessandro Biancalani and Alberto Bottino and Daniele Del Sarto and Remi Dumont and Giovanni Di Giannatale and Alain Ghizzo and Thomas Hayward-Schneider and Philipp Lauber and Ben McMillan and Alexey Mishchenko and Moahan Muruggapan and Brando Rettino and Baruch Rofman and Francesco Vannini and Laurent Villard and Xin Wang},

url = {https://pubs.aip.org/aip/pop/article/31/11/112503/3318596/Ion-temperature-gradient-mode-mitigation-by?searchresult=1},

year  = {2024},

date = {2024-11-01},

journal = {Physics Of Plasmas},

volume = {31},

number = {11},

pages = {112503},

abstract = {In this work, we use the global electromagnetic and electrostatic gyro kinetic approaches to investigate the effects of zonal flows forced-driven by Alfvén modes due to their excitation by energetic particles on the dynamics of ITG (ion temperature gradient) instabilities. The equilibrium of the 92416 JET tokamak shot is considered. The linear, nonlinear Alfvén modes, and the zonal flow dynamics are investigated, and their respective radial structures and saturation levels are reported. ITG dynamics in the presence of the zonal flows excited by these Alfvén modes are also investigated. The zonal flows forced-driven by Alfvén modes can significantly impact the ITG dynamics. A zonal flow amplitude scan reveals the existence of an inverse relation between the zonal flow amplitude and the ITG growth rate. These results indicate that forced-driven zonal flows can be an important indirect part of turbulence mitigation due to the injection of energetic particles.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_3214,

title = {Assessing the significance of employee flexibility and organization policy for survival of organizations during turbulent conditions},

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

url = {https://www.emerald.com/insight/content/doi/10.1108/ijoa-08-2023-3892/full/html},

year  = {2024},

date = {2024-11-01},

journal = {International Journal of Organizational Analysis},

volume = {32},

number = {9},

pages = {2026-2051},

abstract = {Purpose



The purpose of this study is to assess the significance of employee work flexibility and the policy of the organization for survival during any crisis. This study also investigates the moderating role of leadership support (LS) during such turbulent conditions.

Design/methodology/approach



This study has used literature from the fields of organization performance, human resources and organization policy (OP), along with the theories of resource-based view (RBV) and dynamic capability view (DCV) to develop a conceptual model. Later, the conceptual model is validated using the structural equation modeling technique. The study used a survey method with a sample of 311 participants. These participants are employed as human resource managers (HRM) and other supportive workforce at different levels in the organizations.

Findings



The study shows that innovativeness and employee flexibility (EFL) are critical toward organizations' survival during any crisis. Also, the study highlights the importance of OP and LS for the survival of organizations during and after any turbulent condition.

Research limitations/implications



This study provides valuable inputs to the leadership teams of organizations, especially HRM. This research also provides food for thought for policymakers and researchers in the field of organizational performance. This study also contributes to the overall body of literature on organization analysis and extends the literature on RBV and DCV.

Originality/value



The study adds value to the overall body of literature on organization performance and capabilities along with human resource management. Few studies have nurtured issues on EFL during turbulent conditions. Also, there are limited studies in the areas of OP such as favorable and unfavorable policies toward employees. Thus, this study can be considered unique. Moreover, the study investigates the moderating role of LS which adds value toward the body of literature on organizational leadership capability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xu_3235,

title = {Stress testing climate risk: A network-based analysis of the Chinese banking system},

author = {Hai-Chuan Xu and Tai-Min Li and Peng-Fei Dai and Duc Khuong Nguyen and Wei-Xing Zhou},

url = {https://www.sciencedirect.com/science/article/pii/S0261560624001943?utm_campaign=STMJ_219742_AUTH_SERV_PA&utm_medium=email&utm_acid=261312868&SIS_ID=&dgcid=STMJ_219742_AUTH_SERV_PA&CMX_ID=&utm_in=DM515743&utm_source=AC_},

year  = {2024},

date = {2024-11-01},

journal = {Journal Of International Money And Finance},

volume = {149},

pages = {103207},

abstract = {Assessing the impact of climate risks on the financial system is one of the most urgent issues currently. We build a network-based climate risk model to explain how a shock from climate policies translates into shocks in the banking system. Then, we conduct macroprudential stress tests on the Chinese banking system under various climate policy scenarios. We show that under the policy target of peaking the carbon in 2030 and CO2 concentration no more than 500 ppm in 2100, individual banks in China will face equity losses ranging from 1.93% to 14.03%, equivalent to an overall loss of 6.94% in 2025. When considering the electric power sector's adoption of green energy technologies, the adverse effects will be slightly mitigated. Our stress tests suggest that the implementation of climate policies should be gradual and consider potential economic impacts so that climate goals can be achieved without undue shocks to the economy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{joshi_3250,

title = {Assessing the impact of digital transformation capacity for international market growth: the role of leadership support},

author = {Yatish Joshi and Sheshadri Chatterjee and Ranjan Chaudhuri and S. M. Riad Shams and Chrysostomos Apostolidis},

url = {https://www.emerald.com/insight/content/doi/10.1108/imr-03-2024-0100/full/html},

year  = {2024},

date = {2024-11-01},

journal = {International Marketing Review},

abstract = {on its dynamic capabilities and strategic depth, which, in turn, could impact the organization's international

market growth (IMG). This study also investigates the moderating role of leadership support (LES) in using

the DTC.

Design/methodology/approach - The study reviews various kinds of literature related to international

marketing, dynamic capabilities, digital transformation, strategic marketing and LES. Following this, a dynamic

capability view is adopted to develop a research model. This research model is later tested using partial least

squares structure equation modeling with data from 385 respondents from different types of organizations.

Findings - The study demonstrates that an organization's DTC significantly enhances its dynamic capabilities

and strategic depth. LES is vital for effectively applying and leveraging DTCs since it influences the association

between DTCs, competitive advantage and global marketing intelligence. The study also recognizes that

strategic depth and dynamic capabilities contribute to IMG.

Research limitations/implications - The study uncovers the impacts of DTCs, influencing IMG. The study

also provides valuable insights regarding the role of leadership in effectively leveraging the organization's

DTCs. It suggests the organization's management should invest in improving DTC.

Originality/value - This study contributes to the prevailing literature on DTC, leadership and IMG. The study

highlights the importance of DTC and how it impacts more established capabilities and leads to IMG of the

organization. Further, this study is also unique as it establishes the importance of LES in leveraging the

maximum benefits of the DTC.},

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://www.tandfonline.com/doi/full/10.1080/02650487.2024.2432236},

year  = {2024},

date = {2024-11-01},

journal = {International Journal Of Advertising},

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 = {online},

tppubtype = {article}

}

@article{benabdellah_3029,

title = {Designing a collaborative product development process from a knowledge management perspective},

author = {Abla Chaouni Benabdellah and Kamar Zekhnini and Surajit Bag and Shivam Gupta and Ana Beatriz Lopes de Sousa Jabbour},

url = {https://www.emerald.com/insight/content/doi/10.1108/JKM-05-2023-0384/full/html?skipTracking=true},

year  = {2024},

date = {2024-10-01},

journal = {Journal Of Knowledge Management},

volume = {28},

number = {8},

pages = {2383-2412},

abstract = {This study aims to propose a collaborative knowledge-based ontological research model for designing a collaborative product development process (PDP) while considering different design for X techniques.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{veldhuizen_3120,

title = {SHREC 2024: Recognition of dynamic hand motions molding clay},

author = {Ben Veldhuizen and Remco C. Veltkamp and Omar Ikne and Benjamin Allaert and Hazem Wannous and Marco Emporio and Andrea Giachetti and Joseph J. Laviola Jr. and Ruiwen He and Halim Benhabiles and Adnane Cabani and Anthony Fleury and Karim Hammoudi and Konstantinos Gavaldas and Christoforos Vlachos and Athanasios Papanikalaou and Ioannis Romanelis and Vlassis Fotis and Gerasimos Arvanitis and Konstantinos Moustakas and Christoph Von Tycowicz},

url = {https://www.sciencedirect.com/science/article/pii/S009784932400147X},

year  = {2024},

date = {2024-10-01},

journal = {Computers & Graphics-Uk},

volume = {123},

pages = {104012},

abstract = {Gesture recognition is a tool to enable novel interactions with different techniques and applications, like Mixed Reality and Virtual Reality environments. With all the recent advancements in gesture recognition from skeletal data, it is still unclear how well state-of-the-art techniques perform in a scenario using precise motions with two hands. This paper presents the results of the SHREC 2024 contest organized to evaluate methods for their recognition of highly similar hand motions using the skeletal spatial coordinate data of both hands. The task is the recognition of 7 motion classes given their spatial coordinates in a frame-by-frame motion. The skeletal data has been captured using a Vicon system and pre-processed into a coordinate system using Blender and Vicon Shogun Post. We created a small, novel dataset with a high variety of durations in frames. This paper shows the results of the contest, showing the techniques created by the 5 research groups on this challenging task and comparing them to our baseline method.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nguyen_3159,

title = {China's monetary policy framework and global commodity prices},

author = {Duc Khuong Nguyen and Ricardo M. Sousa},

url = {https://www.sciencedirect.com/science/article/pii/S0140988324004754?via%3Dihub},

year  = {2024},

date = {2024-10-01},

journal = {Energy Economics},

volume = {138},

pages = {107767},

abstract = {This paper examines the effects of China's monetary policy on global commodity prices over the quarterly period 1996:Q1-2021:Q4. Using a Bayesian Structural VAR model, we evaluate the impact of interest rate shocks (as a price rule) and shocks to the monetary aggregate (M2) (as a quantity rule) on those commodity prices. Our main findings are fourfold. First, a positive interest rate shock has a negative and persistent effect on commodity prices, with beverages and metals commodity prices falling the most in response to such shock. Second, a positive shock to the growth rate of M2 has a strong impact on the prices of non-fuel commodities, agricultural raw materials, and metals. Still, the highly volatile food and fuel (energy) commodity prices are less affected. Third, while both the growth rate of M2 and the interest rate seem relevant macroeconomic stabilizers, the quantity instrument appears more effective than the price instrument in explaining commodity prices. Finally, while interest rate hikes are linked with a persistent rise in world uncertainty, monetary expansions lead to a long-lived fall in this variable. All in all, our study provides new evidence about the impact of China's monetary policy on global commodity prices using a rich dataset and an econometric setup that accounts for uncertainty.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hamdache_3173,

title = {Time-periodic solutions to heated ferrofluid flow models},

author = {Kamel Hamdache and Djamila Hamroun and Basma Jaffal-Moutarda},

url = {https://doi.org/10.1112/jlms.12990},

year  = {2024},

date = {2024-10-01},

journal = {Journal Of The London Mathematical Society-Second Series},

volume = {110},

number = {4},

pages = {e12990},

abstract = {In this work, we prove the existence of time-periodic solutions to a model describing a ferrofluid flow heated from below. Navier-Stokes equations satisfied by the fluid velocity are coupled to the temperature equation and the magnetostatic equation satisfied by the magnetic potential. The magnetization is assumed to be parallel to the magnetic field and is given by a nonlinear magnetization law generalizing the Langevin law. The proof is based on a semi-Galerkin approximation and regularization methods together with the fixed point method.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boussoufa_3174,

title = {Numerical analysis for backward Euler spectral discretization for Stokes equations with boundary conditions involving the pressure: part II},

author = {Oussama Boussoufa and Yasmina Daikh and Driss Yakoubi},

url = {https://link.springer.com/article/10.1007/s10092-024-00620-1},

year  = {2024},

date = {2024-10-01},

journal = {Calcolo},

volume = {61},

number = {64},

pages = {1-24},

abstract = {In this study, we provide a nonconforming spectral approach for the Stokes equations with nonstandard boundary conditions on a single domain. The discrete spaces are defined in such a way that the discrete approximations for the velocity are exactly divergence-free. We provide a novel discrete inf-sup condition from which pressure error estimates are derived. Several numerical experiments are provided to demonstrate the method's interest.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_3186,

title = {Exploring the effect of government incentives on electric vehicle purchase intention in smart cities},

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

url = {https://www.sciencedirect.com/science/article/abs/pii/S0959652624032906?via%3Dihub},

year  = {2024},

date = {2024-10-01},

journal = {Journal Of Cleaner Production},

volume = {477},

pages = {143841},

abstract = {The use of electric vehicles is gaining momentum throughout the world. Low-carbon mobility is a core area of

focus for sustainable transportation in smart cities. Policy makers and governments in many countries are

incentivizing the manufacture, sale, and purchase of low carbon-emitting vehicles such as electric vehicles. Not

many studies have focused on the usage of electric vehicles in smart cities from the perspectives of customer

behavior and government incentive. Therefore, the aim of this study is to understand how the moderator government

incentives influence potential customers' intention to purchase electric vehicles for smart mobility in

smart cities. With the help of the theory of planned behavior and various literature, a theoretical model has been

developed which is later validated using CB-SEM technique considering responses from 415 potential customers

of electric vehicles. This study has demonstrated that subjective norms and personal norms supported by users'

attitude and behavioral control to use EVs could impact on the purchase intention of electric vehicles with active

support of the government incentives. This study has proposed a pragmatic framework helpful for the policymakers

to motivate the potential purchasers of the smart cities to purchase EVs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vrontis_3191,

title = {Reassessing the Constructs Related to Technology Adoption Theories in the Global Marketing Domain in Light of the Emergence of GenAI},

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

url = {https://www.tandfonline.com/doi/full/10.1080/08911762.2024.2412756},

year  = {2024},

date = {2024-10-01},

journal = {Journal of Global Fashion Marketing},

volume = {37},

number = {5},

pages = {357-378},

abstract = {The purpose of this study is to understand the opportunities and challenges for the global marketing field due to emergence of generative artificial intelligence and the need to reassess the constructs related to technology adoption theories. Given that this technology is so recent, there is a need to investigate this aspect. This study explores the influence of generative AI on various constructs from ten technology adoption theories, models, and approaches as they relate to the global marketing domain. This research study excludes other psychological and cross-cultural theories and constructs related to the domain. This study is unique for its wide range of implications toward the adoption of technology in global marketing initiatives because GenAI can assess consumer sentiment, which helps global marketers make accurate decisions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lonlac_3193,

title = {On the Discovery of Frequent Gradual Patterns: A Symbolic AI Based Framework},

author = {Jerry Lonlac and Imen Ouled Dlala and Said Jabbour and Engelbert Mephu Nguifo and Badran Raddaoui and Lakhdar Sais},

url = {https://link.springer.com/article/10.1007/s42979-024-03303-4},

year  = {2024},

date = {2024-10-01},

journal = {SN Computer Science},

volume = {5},

pages = {944},

abstract = {Gradual patterns extract useful knowledge from numerical databases as attribute co-variations. This article introduces a 

constraint-based modeling framework for the problem of extracting frequent gradual patterns from numerical data. Our 

declarative framework provides a principle way to take advantage of recent advancements in satisfiability testing and several 

features of modern SAT solvers to enumerating gradual patterns from input data. Interestingly, our approach can easily be 

extended to accommodate additional requirements, including temporal constraints, enabling the extraction of more specific 

patterns across a wide spectrum of gradual pattern mining applications. An empirical evaluation conducted on two real-world  datasets demonstrates the efficacy of the proposed approach},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{foutse_3196,

title = {Leveraging recommendations using a multiplex graph database},

author = {Yuehgoh Foutse and Sonia Djebali and Nicolas Travers},

url = {https://www.emerald.com/insight/content/doi/10.1108/IJWIS-05-2024-0137/full/html},

year  = {2024},

date = {2024-10-01},

journal = {International Journal of Web Information Systems},

volume = {20},

number = {5},

pages = {537-582},

abstract = {Purpose

By applying targeted graph algorithms, the method used by the authors enables effective prediction of user interactions and thus fulfils the complex requirements of modern recommender systems. This study sets a new benchmark for multidimensional recommendation strategies and offers a path towards more advanced and user-centric models.



Design/methodology/approach

To improve multidimensional data recommendation systems, multiplex graph structures are useful to capture various types of user interactions. This paper presents a novel framework that uses a graph database to compute and manipulate multiplex graphs. The approach enables flexible dimension management and increases expressive power through a specialised algebra designed for multiplex graph manipulation.



Findings

The authors compare the multiplex graph approach with traditional matrix methods, in particular random walk with restart, and show that the method not only provides deeper insights into user preferences by integrating scores from different layers of the multiplex graph, but also outperforming matrix-based approaches in most configurations. The results highlight the potential of multiplex graphs for developing sophisticated and customised recommender systems that significantly improve both performance and explainability.



Originality/value

The study provides a formal specification of a multiplex graph construction based on interaction and content-based information; and the study also developed an algebra dedicated to multiplex graphs, enabling robust and precise graph manipulations necessary for effective recommendation queries. The authors implement these algebraic operations within the Neo4j graph database system with a thorough analysis and experimentation with three different data sets, benchmarked against traditional matrix-based methods.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}