Data Science, Digital Transformation, Risks & Complex Systems

@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{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{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{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{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{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{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{bazgour_3661,

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

author = {Tarik Bazgour},

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

year  = {2025},

date = {2025-03-01},

journal = {Finance Research Letters},

volume = {74},

number = {March 2025},

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{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{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}

}

@article{recuero_virto_3615,

title = {Digital Sustainability Trade-Offs: Public Perceptions of Mobile Radiation and Green Roofs},

author = {Laura Recuero Virto and Peter Saba and Arno Thielens and Marek Czerwinski and Paul Noumba Um},

url = {https://aisel.aisnet.org/cgi/viewcontent.cgi?article=4655&context=cais},

year  = {2025},

date = {2025-01-01},

journal = {Communications of the AIS},

volume = {56},

pages = {720 - 762},

abstract = {This paper explores how public perceptions influence the interplay between Digital Sustainability (DS), public health, and environmental policy, particularly regarding the effects of mobile radiation on green roofs. While green roofs are recognized for their ecological advantages, the impact of mobile radiation exposure, especially from 5G technology, has not been thoroughly examined in Information Systems (IS) research. Through a Discrete Choice Experiment (DCE) involving an urban sample from the French population, our findings indicate a significant preference for funding research focused on human health compared to plant health, with willingness to pay (WTP) estimates for human health nearly twice as high. Nonetheless, the considerable support for plant health research underscores the importance of addressing both human and environmental aspects in policy formulation. This study contributes to the growing DS dialogue by demonstrating how cognitive, emotional, and moral perceptions shape public backing for research on mobile radiation. These findings enhance our understanding of how public attitudes influence the adoption and regulation of green technologies in urban environments. Our research provides insights for IS researchers and policymakers, advocating for balanced funding approaches and the integration of cognitive, emotional, and ethical factors into policy frameworks to foster effective public engagement and regulatory policies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rodrigues_3621,

title = {REDIRE: Extreme REduction DImension for extRactivE Summarization},

author = {Christophe Rodrigues and Marius Ortega and Aurélien Bossard and Nédra Mellouli},

url = {http://dx.doi.org/10.1016/j.datak.2025.102407},

year  = {2025},

date = {2025-01-01},

journal = {Data & Knowledge Engineering},

volume = {157},

pages = {102407},

abstract = {This paper presents an automatic unsupervised summarization model capable of extracting the most important sentences from a corpus. The unsupervised aspect makes it possible to do away

with large corpora, made up of documents and their reference summaries, and to directly process documents potentially made up of several thousand words. To extract sentences in a summary, we use pre-entrained word embeddings to represent the documents. From this thick cloud of word vectors, we apply an extreme dimension reduction to identify important words, which we group by proximity. Sentences are extracted using linear constraint solving

to maximize the information present in the summary. We evaluate the approach on large documents and present very encouraging initial results.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ha_3625,

title = {Financial inclusion and fintech: a state-of-the-art systematic literature review},

author = {Dao Ha and Phuong Le and Duc Khuong Nguyen},

url = {https://jfin-swufe.springeropen.com/articles/10.1186/s40854-024-00741-0},

year  = {2025},

date = {2025-01-01},

journal = {Financial Innovation},

volume = {11, 69},

abstract = {This study presents an all-inclusive analysis of the literature on the augmentation

of financial inclusion through fintech. Ninety-six papers were selected from the 2951

articles in the Web of Science, Scopus, and EBSCO databases. This study uses bibliometric

and content analysis techniques to illuminate the underexplored aspects of fintech's

impact on financial inclusion. Unlike previous studies, this study consolidates a significant

amount of the literature on financial inclusion by systematically contextualizing

theories and viewpoints from the fintech sector. The key findings include the identification

of three main research clusters: (1) the advent of novel services, (2) the transformation

of the market landscape, and (3) the roles of stakeholders in the fintech

ecosystem. The analysis reveals gaps in the existing research, such as the need for more

studies on the tangible impact of fintech on financial inclusion and regulation. This

study concludes by highlighting potential directions for future research and emphasizing

the importance of policymakers paying greater attention to fintech's implications

for financial inclusion.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ngo_3627,

title = {Revisit the First 60 Days of COVID-19: Assessment of the Global Healthcare Systems using Data Envelopment Analysis},

author = {Thanh Ngo and Duc Khuong Nguyen and Dinh-Tri Vo},

url = {https://journals.sagepub.com/doi/10.1177/09720634241312029},

year  = {2025},

date = {2025-01-01},

journal = {Journal of Health Management},

volume = {0},

number = {0},

abstract = {The ongoing pandemic of the novel coronavirus (COVID-19) has exploded and raised important questions on the efficiency

and effectiveness of healthcare systems around the world to provide guidance for appropriate policy responses. While it is

important to look at the current (and future) situation, it is also needed to look back into the past, especially at the first few

months of the pandemic. This study re-examines the efficiency of healthcare systems around the world against the outbreak

of COVID-19 in its first 62 days (23 January 2020-25 March 2020) to see if the examined countries were well prepared

and well reacted to the pandemic. Results from a data envelopment analysis evaluation indicated that the global healthcare

systems experienced a very low efficiency on average. Besides the absence of a coronavirus vaccine at that time, this low efficiency

is typically linked to the operational scale of the healthcare systems, suggesting that countries could tightly rationalise

their healthcare resources/inputs to improve the technical efficiency of their healthcare systems.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{gasmi_2968,

title = {Digital Literacy, Sustainable Development and Radiation Regulation: Policy and Information Systems Implications},

author = {Farid Gasmi and Paul Noumba Um and Laura Recuero Virto and Peter Saba},

url = {https://link.springer.com/article/10.1007/s10796-024-10488-9#citeas},

year  = {2024},

date = {2024-12-01},

journal = {Information Systems Frontiers},

volume = {26},

pages = {2027-2057},

abstract = {This paper explores the convergence of development economics, regulatory policies, and public health considerations within the field of Information Systems (IS) research, focusing specifically on 5G and 6G mobile technologies. Despite the widespread deployment of these technologies and their potential health implications, there is a limited understanding in IS literature on why countries adopt varying thresholds for radiation regulation. Our study, analyzing data from 124 countries, uncovered an inverted U-shaped relationship between digital literacy and the rigidity of radiation regulation. This finding reveals that nations with lower digital literacy levels tend to enforce stricter regulations, whereas those with higher literacy levels adopt more relaxed policies. By highlighting how digital literacy, a critical aspect of the digital divide, significantly influences regulatory frameworks in telecommunications, this study contributes to filling the gap in IS research. This under- scores the necessity of informed and transparent regulatory decision making, especially in countries with diverse levels of digital literacy. Calling for a multidisciplinary approach to policy formulation, our work enriches the broader discourse in IS research, underlining the pivotal role of digital literacy in shaping both the access and regulatory landscapes of emerging technologies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zalan_3108,

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

author = {Tatiana ZALAN and Elissar Toufaily},

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

year  = {2024},

date = {2024-12-01},

journal = {Digital Business},

volume = {4},

number = {2},

pages = {100084},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hakiri_3112,

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

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

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

year  = {2024},

date = {2024-12-01},

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

volume = {161},

pages = {81-84},

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fontelos_3145,

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

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

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

year  = {2024},

date = {2024-12-01},

journal = {Nonlinear Analysis-Real World Applications},

volume = {80},

pages = {104152},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{deteix_3161,

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

author = {Jean Deteix and Driss Yakoubi},

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

year  = {2024},

date = {2024-12-01},

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

volume = {423},

number = {Part A},

pages = {117391},

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ja_3172,

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

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

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

year  = {2024},

date = {2024-12-01},

journal = {International Journal Of Multiphase Flow},

volume = {181},

pages = {105011},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ahmad_3183,

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

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

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

year  = {2024},

date = {2024-12-01},

journal = {Technological Forecasting And Social Change},

volume = {209},

pages = {123743},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kefi_3254,

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

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

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

year  = {2024},

date = {2024-12-01},

journal = {Journal of Decision Systems},

pages = {1-24},

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

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{rai_3308,

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

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

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

year  = {2024},

date = {2024-12-01},

journal = {Business Process Management Journal},

volume = {ahead-of-print},

number = {ahead-of-p},

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

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

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

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

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

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

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

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

shopping behaviour to purchase EVOO.

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

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

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

behaviour of Italian consumers regarding EVOO related products.

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

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

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

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

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

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

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

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

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

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

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

existing literature.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{boudin_1894,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {Ricerche Di Matematica},

volume = {73},

pages = {2411-2424},

keywords = {},

pubstate = {published},

tppubtype = {article}

}