Data Science, Digital Transformation, Risks & Complex Systems

@article{takhirov_3854,

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

author = {Aziz Takhirov and Driss Yakoubi},

url = {http://dx.doi.org/10.1016/j.matcom.2025.08.007},

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 = {http://dx.doi.org/10.1016/j.is.2025.102598},

year  = {2026},

date = {2026-02-01},

journal = {Information Systems},

volume = {136},

pages = {102598},

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-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{el-amrani_3898,

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

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

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

year  = {2025},

date = {2025-12-01},

journal = {Computer Physics Communications},

volume = {317},

pages = {109865},

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

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

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

non-Newtonian incompressible fluids.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{taher_3860,

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

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

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

year  = {2025},

date = {2025-11-01},

journal = {Computers & Graphics-Uk},

volume = {132},

pages = {104394},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ouchdiri_3897,

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

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

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

year  = {2025},

date = {2025-11-01},

journal = {Mathematical Biosciences},

volume = {389},

pages = {109536},

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

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

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

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

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

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

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

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

dissipative structures observed experimentally.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kumar_3160,

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

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

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

year  = {2025},

date = {2025-10-01},

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

volume = {34},

number = {4},

pages = {1487-1503},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hamdache_3631,

title = {Asymptotic behavior of thin ferroelectric models},

author = {Kamel Hamdache and Djamila Hamroun},

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

year  = {2025},

date = {2025-10-01},

journal = {Nonlinear Analysis-Real World Applications},

volume = {85},

number = {1},

pages = {104379},

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

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

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

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

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

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

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

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

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

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

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

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

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

are identified.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_3670,

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

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

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

year  = {2025},

date = {2025-10-01},

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

volume = {149},

pages = {108867},

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

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{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  = {2025},

date = {2025-09-01},

journal = {International Marketing Review},

volume = {42},

number = {4},

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 = {published},

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  = {2025},

date = {2025-09-01},

journal = {Business Process Management Journal},

volume = {31},

number = {5},

pages = {1836-1861},

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 = {published},

tppubtype = {article}

}

@article{dai_3878,

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

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

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

year  = {2025},

date = {2025-09-01},

journal = {Risk Analysis},

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

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{vlad_3881,

title = {State of the art of gyrokinetic and hybrid MHD?kinetic codes through non?linear benchmarking to study reactor relevant burning plasmas},

author = {Gregorio Vlad and Xin Wang and Francesco Vannini and Hinrich Luetjens and Sergio Briguglio and Nakia Carlevaro and Matteo Valerio Falessi and Giuliana Fogaccia and Valeria Fusco and Fulvio Zonca and Alessandro Biancalani and Alberto Bottino and Thomas Hayward-Schneider and Philipp Lauber and Baruch Rofman and Laurent Villard},

url = {https://doi.org/10.1007/s41614-025-00199-2},

year  = {2025},

date = {2025-09-01},

journal = {Reviews of Modern Plasma Physics},

volume = {9},

pages = {27},

abstract = {After a brief introduction on present day simulation and modeling of burning plas-

mas in magnetically confined devices, the results of a non-linear benchmark are pre-

sented, undertaken among several state-of-the-art codes available to study the self-

consistent interaction of an Energetic Particle (EP) population with shear Alfvén

waves: HYMAGYC, MEGA, ORB5 and XTOR-K. The first two codes, HYMAGYC

and MEGA, are hybrid codes: HYMAGYC is a MHD-Gyrokinetic code (the bulk

plasma is represented by MHD equations, while the EP species is treated using

the gyrokinetic formalism), while MEGA is an MHD-Drift-Kinetic code (the bulk

plasma is represented by MHD equations, while the EP species is treated using the

drift-kinetic formalism, with the possibility of an ad-hoc gyroaveraging); ORB5

is a global electromagnetic gyrokinetic code (both bulk and EP species are treated

using the gyrokinetic formalism); XTOR-K is a non-linear kinetic-MHD code (the

bulk plasma is described by a set of non-linear resistive two-fluid MHD equations,

extended to include kinetic effects of multiple ion species with a fully kinetic PIC

module). The equilibrium of the so-called NLED-AUG reference case, in its version

with peaked off-axis EP density profile, has been used, while considering a |n| = 1

perturbation. This non-linear benchmark is the natural continuation of the linear

benchmark already considered in the recent past, and represent a first-ever code

comparison in the deep non-linear stage. In the present study fluid non-linearities

are omitted, and the focus will be on comparing wave-particle interactions effects

across codes. Characteristics of the non-linear saturation of the mode, self-consist-

ent modification to the EP density profile and other features are compared among

the considered codes. This brief review presents the state of the art of gyrokinetic

and hybrid MHD-kinetic codes emerging as tools for studying reactor-relevant burn-

ing plasmas in realistic conditions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nocita_3887,

title = {On the periodic homogenization of the Maxwell-Stefan equations},

author = {Claudia Nocita and Francesco Salvarani},

url = {https://epubs.siam.org/doi/10.1137/25M1722767},

year  = {2025},

date = {2025-09-01},

journal = {Multiscale Modeling & Simulation},

volume = {23},

number = {3},

pages = {1417-1437},

abstract = {In this paper, the problem of periodic homogenization of the Maxwell--Stefan cross-diffusion system was studied in the case of three species with two equal binary diffusion coefficients.

Using the technique of two-scale homogenization, we characterized the limit equation. The limit equation allows one to describe the behavior of a gas mixture in the diffusive regime in a porous medium. This paper provides the first rigorous mathematical results on the homogenization of the Maxwell-Stefan equations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{servajean-hilst_3889,

title = {Any gender differences exist in the collaborative and innovative mindset of supply managers?},

author = {Romaric SERVAJEAN-HILST and Salomée Ruel},

url = {https://doi.org/10.1080/16258312.2025.2557787},

year  = {2025},

date = {2025-09-01},

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

pages = {1-19},

abstract = {This study examines the influence of gender on collaborative and innovative mindsets in

upstream supply chain management (SCM), also considered as supply management. Given

the critical role of these mindsets in addressing today's supply challenges, this research

explores how gender impacts these attributes among supply managers. Using a quantitative

methodology, the study surveyed 250 junior supply managers in training and conducted

a narrow replication with 47 experienced supply managers in the same national context. The

results show significant gender differences in innovative mindset and differences in collaborative

mindset among junior managers only. Supported by replication, the study highlights

gender dimensions in upstream SCM mindsets. It extends discourse on gender in SCM by

linking it to collaboration and innovation. Findings encourage re-evaluating gender biases and

their impact on SCM practices. Practitioners and educators can apply these insights to design

training programmes that address and leverage gender differences, fostering innovative and

collaborative environments.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chaudhuri_3900,

title = {A bibliometric, networked, and density-based content analysis of corporate social responsibility},

author = {Ranjan Chaudhuri and Apoorva A. and Demetris Vrontis and Alkis Thrassou and Sheshadri Chatterjee},

url = {https://doi.org/10.1504/GBER.2025.148359},

year  = {2025},

date = {2025-09-01},

journal = {Global Business Economics Review},

volume = {33},

number = {3-4},

pages = {394-422},

abstract = {Corporate social responsibility (CSR) models, from across the globe,

have been constructed using various factors; including CSR dimensions,

company credibility, CSR communication, CSR image, brand equity, and brand

preference. Despite receiving much attention over the years, however, there lies

a paucity of research that identifies paradigm shifts, future trends, emerging

fields and prevalent research clusters in the CSR domain; a knowledge gap

aimed to be filled by this research. The authors, through a quantitative

systematic review, investigated 1,615 research publications in CSR from

Scopus and Web of Science from 2000 to 2020. The results have been analysed

using bibliometric software tools such as VantagePoint® through outputs such

as (autocorrelation maps, bubble charts, and Aduna maps) and VOSviewer®

outputs such as (network visualisation, overlay visualisation and density

visualisation) to unveil the recent trend of CSR research.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{singh_3052,

title = {Assessing the entrepreneurial business performance from a dynamic capability and TOE framework: moderating role of crowdfunding support},

author = {Bindu Singh and Shefali Srivastava and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis},

url = {https://www.emerald.com/jsbed/article-abstract/32/3/620/1254204/Assessing-the-entrepreneurial-business-performance?redirectedFrom=fulltext},

year  = {2025},

date = {2025-08-01},

journal = {Journal of Small Business and Enterprise Development},

volume = {32},

number = {3},

pages = {620-645},

abstract = {Purpose - This study aims at assessing entrepreneurial business performance (EBP) from dynamic capability

(DC) and technology-organization-environment (TOE) framework perspectives, taking support from

crowdfunding.

Design/methodology/approach - With the inputs from the literature, supported by TOE framework and

the dynamic capability view (DCV), a model has been proposed. This model has been tested by the factor-based

partial least squares structural equation modeling (PLS-SEM) technique through a survey and quantifying the

responses of 406 respondents on a five-point Likert scale has been used.

Findings - The study has found that crowdfunding support (CFS) has an effective influence on the

improvement of EBP. Also, the DC supports to improve the EBP. Environmental dynamism (END) has also a

critical role in impacting business performance.

Research limitations/implications - Crowdfunding involves investors who have a similar interest in the

business, close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model

can be used by these stakeholders for investment purposes as well as for improving EBP. This study is a cross

sectional research work which has limitations. Moreover, the sample size of this project is limited and did not

include global respondents, Thus, the findings of this study cannot be generalizable which is another limitation

of this study.

Practical implications - Crowdfunding involves investors who have a similar interest in the business, such

as close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model can be

used by these stakeholders for investment purposes as well as for improving EBP. The study can help

policymakers understand the importance of crowdfunding in promoting entrepreneurship activities in a

region, which helps in the economic development of that region.

Originality/value - This research work enriches the extant literature in the fields of crowdfunding and

investment, DC and entrepreneurship. Not many studies have dealt with the issues of CFS for the improvement

of EBP. Hence, this study may be considered novel. Moreover, the proposed research framework related to

crowdfunding possesses a high predictive power. This makes the study unique.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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{el-amrani_3849,

title = {Mathematical modelling and simulation of reactive fluids with cross diffusion and Arrhenius activation energy},

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

url = {http://dx.doi.org/10.1007/s40314-025-03353-1},

year  = {2025},

date = {2025-08-01},

journal = {Computational & Applied Mathematics},

volume = {44},

number = {8},

pages = {393},

abstract = {A wide spectrum of natural phenomena and industrial processes involve the propagation of reaction fronts in a viscous fluid medium. Consistent models of this class of problems should account for the competition between the flow dynamics and the reaction properties related to temperature and degree of conversion. In the present study, to resolve these features in reactive flows, we consider the incompressible Navier-Stokes equations with temperature-dependent viscosity for the velocity and pressure coupled with a double system of reaction-advection-diffusion equations for the temperature and the degree of conversion. The reactions in this coupled system are assumed to be generated using the Arrhenius activation energy and cross diffusion coefficients are influenced by both the temperature and degree of conversion. We analyze the solvability of the proposed model and prove existence of the weak solution using a Galerkin approach combined with appropriate compactness arguments. The uniqueness of the solution is also achieved under additional assumptions on the problem data. In the current work, we also introduce a time-marching scheme for the numerical approximation of the continuous problem and prove the unconditional stability with respect to the time step. Numerical results are presented for a problem with exact solutions to verify the theoretical analysis and to assess the performance of the numerical method. The coupled system is also employed to solve a two-dimensional flame-like propagation problem in viscous fluids. The computational results obtained for both examples support the theoretical expectations for a stable and accurate numerical solver for reactive fluids with cross diffusion and Arrhenius activation energy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sinha_3808,

title = {More Than Meets the Eye - Decoding the Significance of Avatars: A Systematic Literature Review},

author = {Ankit Sinha and Ranjan Chaudhuri and Anjali Chopra and Subhro Sarkar},

url = {http://dx.doi.org/10.1080/08911762.2025.2524858},

year  = {2025},

date = {2025-07-01},

journal = {Journal of Global Marketing},

pages = {1-27},

abstract = {psychology, showing insights beyond the mere digital representation of users in a virtual 

Environment. This study aims for a holistic view of avatars across domains, using the 

miner-prospector continuum approach to develop a theoretical understanding through an 

extensive literature review. The study conducted a systematic literature review, analyzing 91 

peer-reviewed articles from 2005 to 2023, sourced from Scopus, EBSCO, and Web of Science. 

The thematic analysis identified six themes as the foundation for the proposed framework, 

which provides a comprehensive understanding of various variables involved in avatar 

domains such as anthropomorphism, trust, identity formation, and others. The study identified 

future research directions through thematic analysis, such as incorporating celebrity facial 

features into a brand's avatar. The study has several implications for managers and practitioners 

as they can utilize these findings to form enhanced strategies for implementing and 

understanding consumer behavior toward avatars.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{benjelloun_3848,

title = {Homogenization of two-dimentional materials in the Thomas-Fermi-von Weizsäcker theory},

author = {SAAD BENJELLOUN and Salma Lahbabi and Abdelqoddous Moussa},

url = {http://dx.doi.org/10.1063/5.0191472},

year  = {2025},

date = {2025-07-01},

journal = {Journal Of Mathematical Physics},

volume = {66},

number = {7},

pages = {072106},

abstract = {We study the homogenization of the Thomas-Fermi-von Weizsäcker (TFW) model for two-dimentional (2D) materials introduced in [Blanc and Le Bris, Adv. Differ. Equations 5, 977-1032 (2000)]. It consists in considering 2D-periodic nuclear densities with periods going to zero. We study the behavior of the corresponding ground state electronic densities and ground state energies. The main result is that these three-dimensional problems converge to a limit model that is one dimensional, similar to the one proposed in [Gontier et al., Commun. Math. Phys. 388, 1475-1505 (2021)]. We also illustrate this convergence with numerical simulations and estimate the converging rate for the ground state electronic densities and the ground state energies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kumar_3606,

title = {AI capability and environmental sustainability performance: Moderating role of green knowledge management},

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

url = {http://dx.doi.org/10.1016/j.techsoc.2025.102870},

year  = {2025},

date = {2025-06-01},

journal = {Technology In Society},

volume = {81},

pages = {102870},

abstract = {The capabilities of AI may not only foster green technology innovations but also enhance the environmental 

sustainability performance of organizations. Despite this, the interplay between AI capabilities, green technology 

innovations, and environmental sustainability performance largely remain unexplored in view of green knowledge management. The present study aims to fill this gap by examining the impact of AI capabilities on green 

technology innovations and ultimately on environmental sustainability performance. This study also examines 

how green technology innovations mediates between AI capabilities and environmental sustainability performance, and how green knowledge management moderates the relationships between AI capabilities and green 

technology innovations and between AI capabilities and environmental sustainability performance. To validate 

the proposed conceptual relationships, data were collected from IT companies of Pune, India from 237 respondents, and they were validated with PLS-SEM 3.0 software. The results of the present study contribute 

theoretically to the resources-based view, knowledge-based view, dynamic capability, and absorptive capacity 

theories. Moreover, this study has also contributed practically by revealing the potential of AI capabilities and 

green technology innovations to enhance environmental sustainability performance through green knowledge 

management. The insights of the study could also help managers to leverage the AI capabilities to enhance green 

technology innovations and to improve environmental sustainability performance of organizations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gasmi_3629,

title = {Coastal Countries' Economic Growth: What are the Potential Consequences on Mangrove Blue Carbon?},

author = {Farid Gasmi and Laura Recuero Virto and Denis Couvet},

url = {http://dx.doi.org/10.1561/112.00000586},

year  = {2025},

date = {2025-06-01},

journal = {Journal Of Forest Economics},

volume = {40},

number = {1-2},

pages = {1-45},

abstract = {This paper analyzes the determinants of economic growth in coastal economies with the purpose of

highlighting the impact of human activity pressure on mangrove blue carbon (BC). We use a Bayesian

Model Averaging-based estimation technique to fit alternative growth theories to 1960-2009 data on a

BC sample of 23 coastal countries and a worldwide (WW) sample of 83 countries. In addition to

having high mangrove blue carbon climate change mitigation potential, a representative country from

the BC sample possesses features commonly associated with developing countries. Moreover, such a

country's natural capital per capita has decreased by more than 50% during the half-century span of

our data and its dependence on natural capital is almost twice as high as that of its WW counterpart.

We find that the neoclassical theory, through income and investment in physical capital, demography,

macroeconomic policy, and natural capital theories perform well in explaining growth in BC

countries. In contrast, investment in physical capital and proxies for the macroeconomic policy and

natural capital theories are found not to be good predictors of growth when using the WW sample of

countries. These results put the finger on the critical problem of existing and potential anthropogenic

pressure that coastal areas with BC are and can be subject to due to land conversion for agriculture,

aquaculture, farming and other run-offs, marine resources exploitation, uncontrolled sewage, marine

resources direct exploitation, and coastal constructions and public works related to natural capital

exports. This admittedly grim picture of the coasts draws attention to at least two policy questions,

namely, whether central governments ought to give local policy makers and communities incentives to

promote nature-based solutions to climate change mitigation and the extent to which international

financial institutions should provide financial support for such initiatives in developing countries.

Keywords: Economic growth, coastal countries, mangrove blue carbon, developing countries},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_3802,

title = {The way forward to promote the dynamic resources of family businesses to achieve SDGs: the mediating role of sustainability performance},

author = {Ranjan Chaudhuri and Sheshadri Chatterjee and Katarina Valaskova and Ciro Troise},

url = {https://www.emerald.com/insight/content/doi/10.1108/ijebr-03-2025-0261/full/html},

year  = {2025},

date = {2025-06-01},

journal = {International Journal Of Entrepreneurial Behavior & Research},

volume = {ahead-of-print},

number = {ahead-of-p},

abstract = {Purpose

The dynamic capabilities (DCs) of family firms help to respond to dynamic business environments. Presently, few studies have examined how DCs of family firms could achieve SDGs, especially in the context of economic, social and environmental performance. As such, the present research tries to investigate how DCs of family firms could help to achieve better SDG performance with the mediating role of the firms' sustainable performance.



Design/methodology/approach

Sustainable development goals (SDGs) are designed to achieve a more sustainable and better future for everyone on the planet. Different types of firms are expected to initiate efforts to contribute to these SDGs. Family businesses are key actors in this regard. With the dynamic capability view (DCV) as well as with the knowledge of stakeholder theory as well as with the support of extant literature, a model was prepared that was tested by CB-SEM technique to analyze the responses of 317 respondents.



Findings

This research found that the DCs of these businesses have a significant impact on their SDG performance. The study highlights that family firms are lagging in their reconfiguring capabilities regarding environmental and social performance, so it is a challenging task for family firms to improve on this aspect.



Research limitations/implications

This study deals with cross-sectional data. Therefore, its findings may not be generalizable. Additionally, this study does not address rival or alternative models, which could be seen as a limitation. Furthermore, because the analysis is based on feedback collected from a single geographic region, they may not be universally applicable to other areas.



Originality/value

This study has contributed to the prevailing body of knowledge on family business, sustainable development, firm performance, as well as dynamic resources. The highlights of this study can be used by the entrepreneurs, policymakers, as well as future researchers to further extend this study. Further, this study is also unique as it establishes the importance of the sustainable performance of family businesses with dynamic resources and could also be related to disruptive innovation for family businesses to achieve sustainable performance and to meet the sustainable development goals.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{zhang_3828,

title = {Can bilateral RMB swap reduce monetary policy spillovers from the United States to China?},

author = {Mi Zhang and Ahmet Sensoy and Duc Khuong Nguyen and Feiyang Cheng},

url = {http://dx.doi.org/10.1016/j.intfin.2025.102157},

year  = {2025},

date = {2025-06-01},

journal = {Journal Of International Financial Markets Institutions & Money},

volume = {101},

pages = {102157},

note = {This study analyzes the impact of bilateral RMB swap agreements on the transmission of US monetary policy to China, while focusing on the underlying mechanisms and potential heterogeneous effects. Our findings demonstrate that these agreements significantly attenuate US monetary policy spillovers to China. Mechanistically, we show that bilateral swaps promote Chinese exports to trading partner countries, thereby mitigating the negative consequences of US monetary policy. Notably, agreements with emerging economies exhibit a stronger mitigating effect than those with advanced economies. These results offer policymakers valuable insights for managing international monetary policy spillovers.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rabia_3906,

title = {Numerical Computation of a Turbulent Wind Flow over Buildings and Estimation of Its Effect on Drone's Model},

author = {Aminallah Rabia and Chaozhen Li and Alessandro Biancalani and Samir Yahiaoui and Francisco Chinesta},

url = {http://dx.doi.org/10.18280/ijht.430302},

year  = {2025},

date = {2025-06-01},

journal = {International Journal of Heat and Technology},

volume = {43},

number = {3},

pages = {815-823},

abstract = {The nonlinear dynamics of turbulence formed by the wind flowing near solid objects can be studied with a variety of different physical models, with different levels of numerical complexity. One important application is the study of the formation of turbulence past buildings, with the goal of determining the no-fly zones for drones in smart cities. In this paper, we assess the Unsteady Reynolds Averaged Navier-Stokes (URANS) model, commonly used for simulating urban wind dynamics in small portions of a city. We compare the results with those of the hybrid Large-Eddy-Simulation (URANS-LES) model, more physically comprehensive, but more numerically demanding. By analyzing the aerodynamic loads on models of drones with fixed positions close to buildings, we evaluate the implications of both models for drone flight safety. In this paper, the results demonstrate that URANS significantly underestimates these loads compared to URANS-LES approach, with discrepancies reaching a factor up to three.  This highlights the need for correction strategies when relying on URANS for drone safety assessments in urban environments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{marec_3442,

title = {Symmetric non negative matrices factorization applied to the detection of communities in graphs and forensic image analysi},

author = {Gaël Marec and Nédra Mellouli},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0169023X25000060},

year  = {2025},

date = {2025-05-01},

journal = {Data & Knowledge Engineering},

volume = {157},

pages = {102411},

abstract = {With the proliferation of data, particularly on social networks, the accuracy of the information becomes uncertain. In this context, a major challenge lies in detecting image manipulations, where alterations are made to deceive observers. Aligning with the anomaly detection issue, recent methods approach the detection of image transformations as a community detection problem within graphs associated with the images. In this study, we propose using a community clustering method based on non-negative symmetric matrix factorization. By examining several experiments detecting alterations in manipulated images, we assess the method's robustness and discuss potential enhancements. We also present a process for automatically generating visually and semantically coherent forged images. Additionally, we provide a web application to demonstrate this process.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhary_3626,

title = {Exploring Family Values, Religion, and Ethical Behavior in Family Businesses: A Multi-Stage Qualitative Investigation},

author = {Sanjay Chaudhary and Amandeep Dhir and Duc Khuong Nguyen and Enrico Battisti and Puneet Kaur},

url = {https://link.springer.com/article/10.1007/s10551-025-05947-5},

year  = {2025},

date = {2025-05-01},

journal = {Journal Of Business Ethics},

volume = {198},

pages = {865-891},

abstract = {One key element distinguishing family firms from non-family firms is the role of the family's religious beliefs, with growing attention on understanding the fit between religion and family in shaping a business's ethical conduct. A family firm's behavior is embedded in an institutional context, and it is important to understand how multiple institutional logic shapes a

family firm's values and ethical behavior. While scholars agree on the central significance of family values and religion in shaping family firms' values and ethical behavior, a definitive consensus on the influence of family values and religion in confronting ethical challenges and shaping ethical behavior has yet to be reached. We lack a theory explaining how family,

family business, and religion shape a family firm's ethical conduct. We conducted a qualitative study to investigate the role

of family values and religion in shaping a family firm's ethical conduct. The results reveal four themes, namely (a) ethical

challenges faced by family firms, (b) family values shaping ethical behavior, (c) religion providing a rationale for family firms'

ethical decision-making, and (d) outcomes of ethical decision-making. The principal contribution of our study is clarifying

the role of multiple institutional logics in the form of religion and family in explaining ethical behavior. Our findings sugges that the fit between religion, family, and business as an institution guides decision-making, helps family businesses earn a positive reputation in the community by displaying ethical behavior, and develops a positive workplace climate.},

keywords = {},

pubstate = {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 = {http://dx.doi.org/10.1108/IJOA-11-2024-4976},

year  = {2025},

date = {2025-05-01},

journal = {International Journal of Organizational Analysis},

volume = {ahead-of-print},

number = {ahead-of-p},

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 = {online},

tppubtype = {article}

}

@article{bag_2940,

title = {Building digital technology and innovative lean management capabilities for enhancing operational performance: an empirical study},

author = {Surajit Bag and Muhammad Sabbir Rahman and Jitendra Sharma and Andrea Chiarini and Santosh Kumar Srivastava and Shivam Gupta},

url = {https://www.tandfonline.com/doi/abs/10.1080/09537287.2024.2327344},

year  = {2025},

date = {2025-04-01},

journal = {Production Planning & Control},

volume = {36},

number = {8},

pages = {1009-1028},

abstract = {The study examines the direct effect of digital technology capability on innovative lean management capability and the indirect effect on operational performance. We considered continuous learning as a moderator, such that continuous learning could influence the relationships (i.e. digital technology capability and innovative lean management capability). We considered the overall satisfaction of employees as a moderator and empirically tested the relationships. The theoretical model was conceptualised by keeping the dynamic capability view in mind. The samples for the online survey were selected from food supply chain (FSC) firms. Hypothesis testing was performed and findings indicate that lower-order capabilities, such as adaptability, agility, and alignment capabilities, play a critical role in developing dynamic capability, that is, digital technology capability, which helps in achieving superior operational performance. However, innovative lean management capability plays a partial mediation role between digital technology capability and operational performance. A moderating role for continuous learning and overall satisfaction of employees was also supported. FSC firms should consider these factors to enhance operational performance in a dynamic business environment.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{saba_2573,

title = {Different IT projects but the same conflicts. Action research during IT deployment},

author = {Peter Saba and Régis Meissonier and Antoine Harfouche},

url = {https://link.springer.com/article/10.1007/s10796-023-10467-6#citeas},

year  = {2025},

date = {2025-04-01},

journal = {Information Systems Frontiers},

volume = {27},

pages = {683-709},

abstract = {Information System (IS) research has overlooked user conflicts in teams among simultaneous or successive Information Technology (IT) projects, leaving a gap in comprehending the potential contagion processes leading to project failure. While IS literature has separately developed theories on conflicts and conflict contagion, we conceptualize a whole theoretic system we call "IT Conflict Contagion" (IT-CC). This theory is used as a driver for a 2-year action research project conducted at a French management consulting firm during the second attempt of its Business Intelligence (BI) tool baptized ?PMT.? While most MIS methods tend to manage conflicts within the boundaries of an IT project, we emphasize the need for a comprehensive understanding of past IT implementations and their impact on subsequent projects despite the different aims, designs, and functionalities of these IT systems. This research calls for IS researchers and practitioners to adopt a holistic conflict management perspective, considering the IT portfolio and the interplay between various IT systems to ensure successful IT implementation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{siachou_2925,

title = {Is humility in leadership a promoter of employee voice? A moderated mediation model},

author = {Evangelia Siachou and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Minas Kastanakis and Markella Barouta},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0263237324000148},

year  = {2025},

date = {2025-04-01},

journal = {European Management Journal},

volume = {43},

number = {2},

pages = {233-245},

abstract = {Purpose: In this study, we provide a better understanding of the role of leader humility in employee voice by

examining simultaneously the mediating role of intention to share knowledge and the moderating role of

organizational tenure.

Design/methodology: We developed and tested a mediated moderation model. The study hypotheses were tested

with partial least squares structural equation modeling techniques.

Findings: Results from 309 medical representatives supported the study hypotheses, indicating that leader humility

is related to employee voice via intention to share knowledge, and this relationship is stronger for shortertenured

employees than for longer-tenured ones. The study also provides implications for both theory and

practice.

Practical implications: The study provides empirical evidence in support of the positive effect of leader humility on

employee voice. Therefore, we suggest that executive administration should pay particular attention to promoting

humility in leadership to appropriately manage extra-role behavior such as employee voice.

Originality: Recently, leader humility has attracted scholarly attention in organization studies. It is considered a

key antecedent of employees' extra-role behavior and a contextual factor that is associated with many positive

employee and organizational outcomes.},

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://www.sciencedirect.com/science/article/abs/pii/S0022039625000129},

year  = {2025},

date = {2025-04-01},

journal = {Journal Of Differential Equations},

volume = {423},

pages = {550-596},

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhu_3394,

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

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

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

year  = {2025},

date = {2025-04-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {145},

pages = {110160},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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 = {2025-04-01},

journal = {British Food Journal},

volume = {127},

number = {4},

pages = {1420-1440},

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 = {published},

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 = {http://dx.doi.org/10.1108/IJBM-07-2024-0440},

year  = {2025},

date = {2025-04-01},

journal = {International Journal Of Bank Marketing},

volume = {ahead-of-print},

number = {ahead-of-p},

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

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

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

between intention to purchase green products and its predictors.

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

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

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

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

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

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

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

relationship between intention to purchase green products with its predictors.

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

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

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

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

there are some limitations.

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

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

International

Journal of Bank

Marketing

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

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

Received 30 July 2024

Revised 15 October 2024

2 January 2025

26 March 2025

Accepted 27 March 2025

International Journal of Bank Marketing

© Emerald Publishing Limited

e-ISSN: 1758-5937

p-ISSN: 0265-2323

DOI 10.1108/IJBM-07-2024-0440

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

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

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

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@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.},

keywords = {},

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 = {},

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 = {2025-03-01},

journal = {Computers & Industrial Engineering},

volume = {201},

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.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_3637,

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

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

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

year  = {2025},

date = {2025-03-01},

journal = {Journal Of Macromarketing},

volume = {0},

number = {0},

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

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

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

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

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

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

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

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

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

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

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{appio_3661,

title = {The green premium: How environmental consciousness elevates crowdfunding success},

author = {Francesco Appio and Tarik Bazgour and Frederico Platania and Celina Toscano Hernandez},

url = {http://dx.doi.org/10.1016/j.frl.2025.106743},

year  = {2025},

date = {2025-03-01},

journal = {Finance Research Letters},

volume = {74},

pages = {106743},

abstract = {This study investigates the impact of environmental orientation on the success of crowdfunding projects, using a comprehensive dataset from Kickstarter. By examining environmental keywords, geographic distribution of backers, and other project characteristics, we find that environmentally oriented projects achieve significantly higher success rates and funding levels. Notably, while sustainability plays a critical role in attracting backers, the combined effect of environmental orientation and a majority of US backers moderates this success. These findings underscore the importance of integrating environmental themes into crowdfunding campaigns and highlight the necessity for tailored strategies that account for geographic preferences.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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{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  = {2025},

date = {2025-02-01},

journal = {Journal Of Knowledge Management},

volume = {29},

number = {3},

pages = {891-914},

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 = {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},

number = {1},

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_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{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{garcin_3272,

title = {Credit scoring using neural networks and SURE posterior probability calibration},

author = {Matthieu Garcin and Samuel Stéphan},

year  = {2025},

date = {2025-01-01},

journal = {International journal of applied decision sciences},

abstract = {In this article we compare the performances of a logistic regression and a feed forward neural network for credit scoring purposes. Our results show that the logistic regression gives quite good results on the dataset and the neural network can improve a little the performance. We also consider different sets of features in order to assess their importance in terms of prediction accuracy. We found that temporal features can be an important source of information resulting in an increase in the overall model accuracy. Finally, we introduce a new technique for the calibration of predicted probabilities based on Stein's unbiased risk estimate (SURE). This

calibration technique can be applied to very general calibration functions such as the sigmoid function and the Kumaraswamy function, which includes the identity as a particular case. We show that stacking the SURE calibration technique with the classical Platt method can

improve the calibration results.},

keywords = {},

pubstate = {online},

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.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}