Data Science, Digital Transformation, Risks & Complex Systems

@article{zhang_3199,

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

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

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

year  = {2025},

date = {2025-03-01},

journal = {Information Fusion},

volume = {115},

pages = {102736},

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

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}

@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 = {},

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}

@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 = {},

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}

@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},

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}

@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},

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}

@article{fontelos_3145,

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

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

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

year  = {2024},

date = {2024-12-01},

journal = {Nonlinear Analysis-Real World Applications},

volume = {80},

pages = {104152},

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

keywords = {},

pubstate = {published},

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}

@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{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},

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}

@article{boudin_1894,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {Ricerche Di Matematica},

volume = {73},

pages = {2411-2424},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2917,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {R&D Management},

volume = {54},

number = {5},

pages = {1145-1165},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhary_2935,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {International Journal of Organizational Analysis},

volume = {32},

number = {10},

pages = {2205-2235},

abstract = {Purpose

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



Design/methodology/approach

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



Findings

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



Research limitations/implications

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



Originality/value

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{recuero_virto_2960,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {Risk Analysis},

volume = {44},

number = {11},

pages = {2554-2568},

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



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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{modgil_3059,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {7},

pages = {7006-7020},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jaffal-moutarda_3134,

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

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

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

year  = {2024},

date = {2024-11-01},

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

volume = {138},

pages = {108254},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sebe_3167,

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

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

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



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

year  = {2024},

date = {2024-11-01},

journal = {Environmental & Resource Economics},

volume = {87},

number = {11},

pages = {2993-3009},

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

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

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

rebates to environmentally friendly vessels. Existing research reveals several limitations

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

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

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

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

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sama_3198,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {Physics Of Plasmas},

volume = {31},

number = {11},

pages = {112503},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_3214,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {International Journal of Organizational Analysis},

volume = {32},

number = {9},

pages = {2026-2051},

abstract = {Purpose



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

Design/methodology/approach



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

Findings



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

Research limitations/implications



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

Originality/value



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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xu_3235,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {Journal Of International Money And Finance},

volume = {149},

pages = {103207},

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

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pubstate = {published},

tppubtype = {article}

}

@article{joshi_3250,

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

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

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

year  = {2024},

date = {2024-11-01},

journal = {International Marketing Review},

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

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

the DTC.

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

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

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

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

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

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

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

strategic depth and dynamic capabilities contribute to IMG.

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

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

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

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

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

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

maximum benefits of the DTC.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{benabdellah_3029,

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

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

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

year  = {2024},

date = {2024-10-01},

journal = {Journal Of Knowledge Management},

volume = {28},

number = {8},

pages = {2383-2412},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{veldhuizen_3120,

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

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

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

year  = {2024},

date = {2024-10-01},

journal = {Computers & Graphics-Uk},

volume = {123},

pages = {104012},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nguyen_3159,

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

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

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

year  = {2024},

date = {2024-10-01},

journal = {Energy Economics},

volume = {138},

pages = {107767},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hamdache_3173,

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

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

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

year  = {2024},

date = {2024-10-01},

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

volume = {110},

number = {4},

pages = {e12990},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boussoufa_3174,

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

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

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

year  = {2024},

date = {2024-10-01},

journal = {Calcolo},

volume = {61},

number = {64},

pages = {1-24},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_3186,

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

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

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

year  = {2024},

date = {2024-10-01},

journal = {Journal Of Cleaner Production},

volume = {477},

pages = {143841},

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

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

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

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

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

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

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vrontis_3191,

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

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

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

year  = {2024},

date = {2024-10-01},

journal = {Journal of Global Fashion Marketing},

volume = {37},

number = {5},

pages = {357-378},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lonlac_3193,

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

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

url = {https://rdcu.be/dWvlG},

year  = {2024},

date = {2024-10-01},

journal = {SN Computer Science},

volume = {5},

pages = {944},

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{foutse_3196,

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

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

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

year  = {2024},

date = {2024-10-01},

journal = {International Journal of Web Information Systems},

volume = {20},

number = {5},

pages = {537-582},

abstract = {Purpose

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



Design/methodology/approach

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



Findings

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



Originality/value

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{maiti_3237,

title = {A Reduced Model Retaining 1st-Order Vortex Corrections in the Averaged Dynamics of the Wind past Buildings},

author = {Samik Maiti and Aminallah Rabia and Amine Ammar and Alessandro Biancalani and Francisco Chinesta and Yannick Hoarau and Samir Yahiaoui},

url = {https://doi.org/10.18280/ijht.420506},

year  = {2024},

date = {2024-10-01},

journal = {International Journal of Heat and Technology},

volume = {42},

number = {5},

pages = {1534},

abstract = {The nonlinear dynamics of turbulence formed by the wind flowing near solid objects can

be studied with a variety of different physical models, more or less numerically demanding.

An 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 examine the

Reynolds- averaged Navier-Stokes (RANS) model, which is popular in simulating the wind

dynamics in small portions of a city. We compare the results with those of the Large-Eddy-

Simulation (LES) model, more physically comprehensive, but more numerically

demanding. The analysis of the vortex formation in the LES model helps estimating the

1st-order correction to add to the lighter RANS results. This constitutes the scheme of a

reduced model, which takes the RANS model as a basis, on top of which an extra layer of

the dimension of the main vortex, obtained with the LES simulation, is added. This reduce

model can be used, for example, to estimate the no-fly zone with a higher level of accuracy

with respect to the pure RANS, yet with a computational effort comparable to the pure

RANS.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{recuero_virto_2907,

title = {The determinants of legislation for radiofrequency electromagnetic fields (RF-EMF) with the onset of 5G: An empirical analysis with a worldwide cross-sectional dataset},

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

url = {https://onlinelibrary.wiley.com/doi/10.1111/risa.14298},

year  = {2024},

date = {2024-09-01},

journal = {Risk Analysis},

volume = {44},

number = {9},

pages = {2046-2088},

abstract = {The unprecedented exposure of radiofrequency electromagnetic field (RF-EMF) to humans from mobile communications raises serious public concern about the possibility of unexpected adverse health effects and has stimulated authorities to adopt precautionary exposure limits. These limits are distinctly different across countries,

and the causes of these differences are unclear from the literature. This article is the

first empirical analysis on the determinants of RF-EMF exposure legislation, using a novel cross-sectional database of 164 countries worldwide. The analysis shows that decentralization and mobile competition in countries with low mobile network deployment tend to promote more stringent RF-EMF exposure limits across the dataset with 164 countries. In more decentralized countries, the regions had a greater influence on national legislation and could accommodate local demands with the advent of mobile technology in the 2000s. In contrast, decentralization and mobile competition in countries

with high levels of mobile network deployment tend to relax RF-EMF exposure limits in the sample of 61 countries with fifth-generation (5G) technology. Indeed, restrictive RF-EMF exposure limits are constraining 5G deployment in a context of the widespread adoption of mobile-broadband technologies. These results should be useful for policymakers and mobile operators alike to anticipate the outcome of legislation in countries that have yet to introduce 5G technology. The results should also be

useful when reviewing policies and strategies for the implementation of the upcoming 6G technology in frequency bands that will be increasingly higher (above 6 GHz up to THz for very local usage), and hence where the health effects on humans are less well studied.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_3046,

title = {A time viscosity-splitting method for incompressible flows with temperature-dependent viscosity and thermal conductivity},

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

url = {https://www.sciencedirect.com/science/article/pii/S0045782524003591?dgcid=coauthor},

year  = {2024},

date = {2024-09-01},

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

volume = {429},

pages = {117103},

abstract = {A fractional-step method is proposed and analyzed for solving the incompressible thermal Navier-Stokes equations coupled to the convection-conduction equation for heat transfer with a generalized source term for which the viscosity and thermal conductivity are temperature dependent under the Boussinesq assumption. The proposed method consists of four steps all based on a viscosity-splitting algorithm where the convection and diffusion terms of both velocity and temperature solutions are separated while a viscosity term is kept in the correction step at all times. This procedure preserves the original boundary conditions on the corrected

velocity and it removes any pressure inconsistencies. As a main feature, our method allows the temperature to be transported by a non-divergence-free velocity, in which case we show how 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. The theoretical results are examined by an accuracy test example with known analytical solution and using a benchmark problem of Rayleigh-Bénard convection with temperature-dependent viscosity and thermal conductivity.

We also apply the method for solving a problem of unsteady flow over a heated airfoil. The obtained results demonstrate the convergence, accuracy and applicability of the proposed time viscosity-splitting method.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_3096,

title = {A TOE-DCV approach to green supply chain adoption for sustainable operations in the semiconductor industry},

author = {Ranjan Chaudhuri and Bindu Singh and Amit Kumar Agrawal and Sheshadri Chatterjee and Shivam Gupta and Sachin Kumar Mangla},

url = {https://www.doi.org/10.1016/j.ijpe.2024.109327},

year  = {2024},

date = {2024-09-01},

journal = {International Journal Of Production Economics},

volume = {275},

pages = {109327},

abstract = {Semiconductor industry plays a critical role for the global economy. Semiconductor industry provides various necessary technologies such as IoT, AI, modern fabrication technologies and so on to various industries including automotive industry, electronic and communication industry, healthcare industry, construction and building industry, space industry, and so on. However, semiconductor supply chain experiences various supply chain related risks and challenges because of its procedural complexities, global supply chain integrations, government policy and regulations, competitiveness, technological complexities, and so on. Not many studies available which investigated the risk, resilience, and complexities regarding green supply chain adoption by semiconductor industry. In this context, the objective of this study is to examine the risks, resilience, and complexities for managing the green supply chain adoption for higher sustainability in the semiconductor industry. Utilizing the TOE framework (Technology-Organization-Environment) and DCV (Dynamic Capability View), we developed a research model to achieve this purpose. Subsequently, this model was validated through structural equation modelling, involving 356 respondents affiliated with the semiconductor industry. This study highlights that technological risk aspects comprising of technological turbulence and risk, compatibility and complexity, organizational dynamic capabilities, and resilience along with appropriate policy and regulations could help successful adoption of green supply chain management in the semiconductor industry.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{toufaily_3107,

title = {In blockchain we trust? Demystifying the ?trust? mechanism in blockchain ecosystems},

author = {Elissar Toufaily and Tatiana ZALAN},

url = {https://www.sciencedirect.com/science/article/pii/S0040162524003706?ref=pdf_download&fr=RR-2&rr=8a7436131c9600b9},

year  = {2024},

date = {2024-09-01},

journal = {Technological Forecasting And Social Change},

volume = {206},

pages = {123574},

abstract = {The purpose of the paper is to conceptualize and redefine trust within the blockchain ecosystem by exploring the

trust construct across academic disciplines and its applicability in the blockchain context. We develop a conceptual

model and testable propositions that extend the work of McKnight et al. (2001, 2002, 2011) to the

blockchain ecosystem based on an integrative literature review. We conceptualize trust as a multidimensional,

multi-object construct combining three major objects of trust: algorithmic trust in the blockchain protocol

(platform), trust towards peers and services providers, and trust in decentralized applications (product). The

model reflects the process of building a trust layer for users and institutions on top of the trustless technology.

The paper demystifies the trust building process, from initial trust to knowledge-based trust, and its dimensions

within the blockchain ecosystem, and, consequently, helps practitioners to build strategies that increase users'

trust. The contribution to the academic literature resides in the unification of multiple perspectives on trust

within an integrative conceptual framework to point out the mechanisms of trust building process, as well as to

identify future research directions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{singh_3110,

title = {Managing risk concerns with ordered backlogs in the semiconductor industry: An empirical study},

author = {Ashutosh Singh and Surajit Bag and Tsan-Ming Choi and Surender Munjal},

url = {https://www.sciencedirect.com/science/article/pii/S092552732400183X},

year  = {2024},

date = {2024-09-01},

journal = {International Journal Of Production Economics},

volume = {275},

pages = {109326},

abstract = {Today, the semiconductor industry is integral to the functionality of many critical goods and processes that are highly valued. The increasing demand across various semiconductor-related industries has correspondingly amplified the risks faced by firms within this sector. In this study, we empirically explore the potential of ordered backlogs as a means to mitigate the risks confronting semiconductor firms. Utilizing a dataset comprising publicly traded semiconductor firms in the USA, over a duration from 1998 to 2021, we quantitatively validate our hypotheses. Our findings reveal that a substantial volume of ordered backlogs is indeed correlated to a diminished level of firm risk. However, it is important to note that this risk-mitigating effect is lessened as the marketing and research intensities of these firms escalate. Moreover, we observe that the advantageous impact of ordered backlogs in risk reduction is more subdued in large workforce firms, whereas the presence of a sizable top management team aids in lessening the impact of ordered backlogs on risk. These managerial insights are invaluable in advancing both theoretical understanding and managerial practices within the realm of the semiconductor industry.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{obbadi_3021,

title = {An improved splitting algorithm for unsteady generalized Newtonian fluid flow problems with natural boundary conditions},

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

url = {https://www.sciencedirect.com/science/article/pii/S0898122124002165?dgcid=coauthor},

year  = {2024},

date = {2024-08-01},

journal = {Computers & Mathematics With Applications},

volume = {167},

pages = {92-109},

abstract = {Generalized Newtonian fluids are challenging to solve using the standard projection or fractional-step methods which split the diffusion term from the incompressibility constraint during the time integration process. Most of this class numerical methods already suffer from some inconsistencies, even in the Newtonian case, due to unphysical pressure boundary conditions which deteriorate the quality of approximations especially when open boundary conditions are prescribed in the problem under study. The present study proposes an improved viscosity-splitting approach for solving the generalized Newtonian fluids in which the viscosity follows a nonlinear generic rheological law. This method consists of decoupling the convective effects from the incompressibility while keeping a diffusion term in the last step allowing to enforce consistent boundary conditions. We provide a full algorithmic description of the method accounting for both Dirichlet and Neumann boundary conditions. To evaluate the computational performance of the proposed viscosity-splitting algorithm, we present numerical results for an example with manufactured exact solution and for the benchmark problems of lid-driven cavity flow and flow past a circular cylinder. We also assess the accuracy of the method for an unsteady flow around an arrangement of two cylinders in tandem and comparisons with results obtained using a monolithic approach reveal good general agreement.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_3054,

title = {Building smart product-service systems capabilities for circular supply chains in the Industry 4.0 era},

author = {Surajit Bag and Shivam Gupta and Hau-Ling Chan and Ajay Kumar},

url = {https://www.sciencedirect.com/science/article/pii/S1366554524002163?via%3Dihub},

year  = {2024},

date = {2024-08-01},

journal = {Transportation Research Part E-Logistics And Transportation Review},

volume = {188},

pages = {103625},

abstract = {A smart product-service system is an integrated digital infrastructure that brings together products

and services to provide clients with a full range of options. A smart product-service system is

a crucial capability that enhances collaboration among several parties in a supply chain and gives

businesses valuable insights into performance. This study investigates (a) the zero-level capabilities

(also known as organizational capabilities) that influence dynamic capabilities (i.e., smart

circular product-service systems capabilities) building in the Industry 4.0 era while environmental

dynamism acts as a moderator, and (b) how the smart circular product-service systems

capabilities can support firms' (financial and environmental) performance. Based on the data

collected from the manufacturers who have been actively involved in smart circular productservice

system based projects, our findings reveal that three zero-level capabilities (i.e., product

lifetime database creation capabilities, analytics and business intelligence capabilities and

actuating capabilities) are crucial for building dynamic capabilities (i.e., smart circular productservice

systems capabilities) in a volatile business environment. Besides, we also highlight how

these capabilities can positively affect firms' financial and environmental performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{berjawi_3055,

title = {Well-posedness of the Green-Naghdi model for an uneven bottom in presence of the Coriolis effect and surface tension},

author = {Marwa Berjawi and Toufic El Arwadi and Samer Israwi and Raafat Talhouk},

url = {https://doi.org/10.1111/sapm.12725},

year  = {2024},

date = {2024-08-01},

journal = {Studies in Applied Mathematics},

volume = {153},

number = {2},

pages = {e12725},

abstract = {The objective of this work is to derive and analyze a

Green-Naghdi model with Coriolis effect and surface

tension in nonflat bottom geometry. Gui et al. derive

a Green-Naghdi-type model in flat bottom geometry

under the gravity and Coriolis effect. Chen et al. proved

the existence and uniqueness of solution in Sobolev

space under a condition depending on the initial velocity

and the Coriolis effect. In this paper, we provide a rigorous

derivation of Green-Naghdi model under the influence

of the two mentioned effects, with nonflat bottom.

After that, the existence and construction of solutions for

the derived model will be proved under two alternative

conditions: the first one is the same condition as in Chen

et al. and Berjawi et al. and the second one concerns only

the Coriolis coefficient ? that supposed to be only of

order ?(

?

?). This existence and uniqueness result ameliorate

the result of Chen et al. and Berjawi et al. in the

sense that no condition on the velocity is needed.We also

prove the continuity of the associated flow map.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nguyen_3084,

title = {Portfolio's weighted political risk and mutual fund performance: A text-based approach},

author = {Huong Giang Nguyen and Khanh Hoang and Quan M.P. Nguyen and Hung Wuan Do and Duc Khuong Nguyen},

url = {https://www.sciencedirect.com/science/article/pii/S154461232400758X?via%3Dihub},

year  = {2024},

date = {2024-08-01},

journal = {Finance Research Letters},

volume = {66},

pages = {105728},

abstract = {Using text-based measures of firm-level political risk, we find a negative impact of the portfolio's weighted political risk on U.S. mutual fund performance. This relationship is robust to a wide range of topic-specific political risks at the firm level. We, however, find that national geopolitical risk, the U.S. state-level economic policy uncertainty, and Brexit-induced risk do not affect mutual fund performance. Our results suggest that even though mutual funds are immune from political risk at the macro level, they are significantly exposed to idiosyncratic political risk. We also demonstrate that partisanship matters to mutual fund performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2884,

title = {Exploring the potential of blockchain-enabled smart contracts for achieving net-zero emissions: An empirical study},

author = {Surajit Bag and Muhammad Sabbir Rahman and Susmi Routray and Santosh Kumar Shrivastav and Soni Agrawal},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3691},

year  = {2024},

date = {2024-07-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {5},

pages = {3965-3985},

abstract = {A sustainable future entails addressing net-zero emissions, which balances greenhouse gas emissions, thereby mitigating climate change. This study explores the relationship between the information quality, system quality, and service quality of blockchain-enabled smart contracts (BSCs) with collaboration quality to achieve net-zero emissions. The study further explores the role of collaboration quality in influencing the intention-to-use BSC and organizational satisfaction. The study employed the revised DeLone and McLean model and validated it with data from 434 respondents using structural equation modeling. The results validate all the hypotheses derived from the updated DeLone and McLean information system (IS) success model. There exist significant relationships between information quality, system quality, and service quality in the BSCs leading to collaboration quality to achieve net-zero emissions. The study establishes the significant role of collaboration quality which positively impacts usage behavior and organizational satisfaction, mediated by the intention to use. The findings of this study offer insights for organizations and policymakers seeking to harness blockchain for environmental sustainability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chiarini_2885,

title = {Using green human resource management practices to achieve green performance: Evidence from Italian manufacturing context},

author = {Andrea Chiarini and Surajit Bag},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3724},

year  = {2024},

date = {2024-07-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {5},

pages = {4694-4707},

abstract = {The effect of green human resource management (GHRM) practices on employees' environmental engagement, attitudes, and behaviors is well-known. What is less known is which GHRM practices can have a positive influence on achieving green performance through the mediating role played by people's engagement. To address the research gaps, this study used mixed-method research design. In Phase 1, this study focused on the advanced manufacturing context of Italy by surveying 540 managers to develop a multiple regression model and test six different GHRM practices as the hypotheses. In Phase 2, qualitative data analysis was analyzed. Our findings highlighted that GHRM practices connected with awards and compensations did not affect green performance. Conversely, a correlation was observed between achieving green performance and practices such as training, aligning management with the company's strategic environmental goals and objectives, involving managers in the process of defining the goals and objectives, and the green reputation of the company and the managers who can act as environmentally responsible leaders. This study extends social exchange theory and opens new avenues for further research and proposes several practical suggestions for practitioners.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2910,

title = {Emergence of Social Robot Technology and Its Friction-Free Diffusion in Society: From Engineering Aesthetics and Compatibility Perspective},

author = {Sheshadri Chatterjee and Ranjan Chaudhuri and Ajay Kumar and Francesco Schiavone},

url = {https://ieeexplore.ieee.org/document/10309836},

year  = {2024},

date = {2024-07-01},

journal = {Ieee Transactions On Engineering Management},

volume = {71},

pages = {13179-13190},

abstract = {A social robot utilizes artificial intelligence (AI) technology to engage and interact with humans and several studies have explored the various functionalities of social robots. However, limited research has been conducted on how factors such as aesthetics and compatibility can influence individuals' intention to use social robots. Consequently, the aim of this research study is to address this gap and provide insights in this area. The study adopts the technology acceptance model, theory of planned behavior, and innovation diffusion theory to investigate the cognitive and psychological factors that impact an individual's intention to use social robots. The study uses self-efficacy, and innovativeness as the predictors of compatibility. Also, the study uses personal norms, and social norms as predictors of aesthetics. Taking account of theories and current literature, we developed a conceptual model and validated it using the partial least squares structural equation modeling technique with 372 respondents. The study found that compatibility and aesthetics are important factors impacting individuals' intentions to use social robots.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_2911,

title = {Reimaging Emerging Technologies for Digital Transformation and Growth Trajectory of Organizations in New Normal: The Moderating Role of Organizational Data-Driven Culture},

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

url = {https://ieeexplore.ieee.org/document/10256670},

year  = {2024},

date = {2024-07-01},

journal = {Ieee Transactions On Engineering Management},

volume = {71},

pages = {13109-13122},

abstract = {Emerging technologies, such as artificial intelligence, big data analytics, and blockchain, play a major role in the digitalization of organizations. Data are important for decision-making processes. Organizations need to establish a data-driven culture to support the digital transformation process. However, extant literature is scant to investigate the effects of digitalization on organizational sustainability performance. In this context, this study aims to investigate how data-driven culture and digital transformation could impact organizational sustainability performance by improving some intermediate contextual factors. To investigate the effects of digitalization, this study has developed a theoretical model with the knowledge of literature and theories. Later, the model has been statistically validated. This study claims its uniqueness because no other studies have extensively demonstrated that applications of digital technologies in a data-driven culture could improve the sustainability performance of organizations by improving product and process innovation and the financial and operational performance of organizations. However, the study results suffer from external validity issues, as the analysis of the results depends on the inputs of the respondents who are based out of India. This has been considered as a limitation in this study.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yao_3011,

title = {The effect of LNG bunkering on port competitiveness using multilevel data analysis},

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

url = {https://doi.org/10.1016/j.trd.2024.104240},

year  = {2024},

date = {2024-07-01},

journal = {Transportation Research Part D-Transport And Environment},

volume = {132},

pages = {104240},

abstract = {Environmental practices can enable most businesses, including ports, to gain a competitive advantage. Given the chicken-and-egg dilemma for the adoption of alternative fuels in the shipping industry, this article assesses whether and to what extent ports have incentives to provide liquefied natural gas (LNG) bunkering infrastructure. More specifically, we test whether such facilities positively affect the competitiveness of the ports, which would be an additional incentive to drive the transition to alternative fuels. Using multilevel regressions and propensity score matching on LNG-fueled vessel movements in the Baltic Sea Region in 2019, we found no significant effect of LNG bunkering infrastructure on port competitiveness, measured by port choice probabilities expressed by vessels. Although our findings indicate that ports do not gain a competitive advantage in the short-term, we do not rule out potential gains in the long-term. Policy intervention is desirable in the short-term to maintain incentives for port investments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zekhnini_3060,

title = {Supply Chain 5.0 Digitalization: An Integrated Approach for Risk Assessment},

author = {Kamar Zekhnini and Abla Chaouni Benabdellah and Surajit Bag and Shivam Gupta},

url = {https://www.emerald.com/insight/content/doi/10.1108/MD-12-2023-2329/full/html},

year  = {2024},

date = {2024-07-01},

journal = {Management Decision},

abstract = {This article aims to assess risks related to the supply chain 5.0 digitalization. It aims to analyze interdependencies and causal relationships between critical digital supply chain 5.0 risks, emphasizing the need for proactive management to address emerging challenges.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{sutradhar_3061,

title = {Enhancing identity and access management using Hyperledger Fabric and OAuth 2.0: A block-chain-based approach for security and scalability for healthcare industry},

author = {Shrabani Sutradhar and Sunil Karforma and Rajesh Bose and Sandip Roy and Sonia Djebali and Debnath Bhattacharyya},

url = {https://doi.org/10.1016/j.iotcps.2023.07.004},

year  = {2024},

date = {2024-07-01},

journal = {Internet of Things and Cyber-Physical Systems},

volume = {4},

pages = {49-67},

abstract = {Block-chain-based Identity and access management framework is a promising solution to privacy and security issues raised during the exchange of patient data in the healthcare industry. This technology ensures the confidentiality and integrity of sensitive information by providing a decentralized and immutable ledger. In our research, we propose an identity and access management system that employs Hyper-ledger Fabric and OAuth 2.0 for improved security and scalability. This combination allows for transparency and immutability of user transactions and minimizes the risk of fraud and unauthorized access. Additionally, Hyper-ledger Fabric's privacy, security, and scalability features enable granular access control to sensitive information, while OAuth 2.0 authorizes only trusted third-party applications to access specific data on the Fabric network. The proposed approach can handle large volumes of data and support multiple applications, thus providing a secure and scalable solution for managing access to the Fabric network. Moreover, our solution employs Role-based access control based on the patient's role, ensuring privacy and confidentiality. Our statistical analysis demonstrates that the proposed approach can efficiently and securely manage patient identity and access, potentially transforming the healthcare industry by enhancing data interoperability, reducing fraud and errors, and improving patient privacy and security. Furthermore, our solution can facilitate compliance with regulatory requirements such as HIPAA and GDPR.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ngo_3085,

title = {Estimating the productivity of US agriculture: The Fisher total factor productivity index for time series data with unknown prices},

author = {Thanh Ngo and David Stripe and Duc Khuong Nguyen},

url = {https://onlinelibrary.wiley.com/doi/10.1111/1467-8489.12565},

year  = {2024},

date = {2024-07-01},

journal = {Australian Journal Of Agricultural And Resource Economics},

volume = {68},

number = {3},

pages = {701-712},

abstract = {In this paper, we propose a straightforward way to estimate the Fisher ideal total factor productivity (TFP) index (FI) in cases where price information is unavailable, using ?shadow prices' derived from data envelopment analysis (DEA). A Monte Carlo experiment shows that the shadow price Fisher ideal TFP index (SPFI) can effectively estimate the ?true' FI with relatively small (and stable) errors. The empirical application to the US agriculture sector (1948-2017) further suggests that the SPFI is a (superior) alternative to the traditional Malmquist DEA, especially in dealing with unbalanced panel or time series data when price data are unknown.},

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  = {2024},

date = {2024-07-01},

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

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 = {online},

tppubtype = {article}

}

@article{shams_3016,

title = {Developing brand identity and sales strategy in the digital era: Moderating role of consumer belief in brand},

author = {Riad Shams and Sheshadri Chatterjee and Ranjan Chaudhuri},

url = {https://www.sciencedirect.com/science/article/pii/S0148296324001930?via%3Dihub},

year  = {2024},

date = {2024-06-01},

journal = {Alliance Journal of Business Research},

volume = {179},

pages = {114689},

abstract = {Brand identity helps customers to identify, as well as distinguish alternative competitive brands. If there is a consistent marketing strategy and consistent messaging, brand identity remains consistent, which helps in improving sales management and generating better revenue for the brand. In this digital era, there are various digital marketing tools and capabilities to improve brand identity, which help in establishing close association with customers to influence their purchasing decisions. However, we have limited understanding of the antecedents of brand identity in the digital era, and how the moderating role of consumer belief in brands could influence their purchasing decision making process. In this context, this study aims to determine the antecedents of brand identity in the digital era, and to examine if there is any moderating impact of consumer belief in brand (CBB) on consumer purchase decision (CPD). Based on the resource-based view and social identity theory, a theoretical model has been developed. Following the survey responses of representatives from 302 organizations/brands, the covariance-based structural equation modelling validates our model. Our analysis affirms that e-WOM, digital infrastructure, skilled manpower, and digital marketing capability positively impact on developing brand identity, which influences sales strategy differently in different situation to influence CPD, where CBB plays a moderating role. The study results have been derived by analyzing the inputs of the respondents based out of India which invited external validity issue and it has been considered as one of the limitations of this study.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{safa_3033,

title = {Asymptotic Expansion of the Solutions to a Regularized Boussinesq System (Theory and Numerics)},

author = {Ahmad Safa and Hervé Le Meur and Jean-Paul Chehab and Raafat Talhouk},

url = {https://link.springer.com/article/10.1007/s10440-024-00660-3?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=nonoa_20240603&utm_content=10.1007/s10440-024-00660-3},

year  = {2024},

date = {2024-06-01},

journal = {Acta Applicandae Mathematicae},

volume = {191},

number = {12},

pages = {1-25},

abstract = {We consider the propagation of surface water waves described by the Boussinesq system. Following (Molinet et al. in Nonlinearity 34:744-775, 2021), we introduce a regularized Boussinesq system obtained by adding a non-local pseudo-differential operator define by  with . In this paper, we display a twofold approach: first, we study theoretically the existence of an asymptotic expansion for the solution to the Cauchy problem associated to this regularized Boussinesq system with respect to the regularizing parameter . Then, we compute numerically the function coefficients of the expansion (in ) and verify numerically the validity of this expansion up to order 2. We also check the numerical  stability of the numerical algorithm.},

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.doi.org/10.1108/JSBED-10-2023-0462},

year  = {2024},

date = {2024-06-01},

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

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 = {online},

tppubtype = {article}

}