Publication

@article{zhang_3199,

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

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

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

year  = {2025},

date = {2025-03-01},

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{azeem_3175,

title = {When and how is abusive supervision enacted toward competent subordinates? The role of supervisors' power loss concern and downward envy},

author = {Muhammad Umer Azeem and Inam Ul Haq and Ghulam Murtaza and Rahman Khan},

url = {https://iaap-journals.onlinelibrary.wiley.com/doi/abs/10.1111/apps.12559},

year  = {2025},

date = {2025-02-01},

journal = {Applied Psychology-An International Review-Psychologie Appliquee-Revue Internationale},

volume = {74},

number = {1},

pages = {e12559},

abstract = {In general, supervisor abuse is directed toward lowperforming subordinates. Similarly, envy is typically felt by professionals in lower ranks toward those in higher positions. By contrast, this study investigates the counterintuitive relationship between the abusive

behavior of envious leaders toward their competent subordinates. Specifically, we argue that supervisors become envious of competent employees when they

are anxious about losing power. Multisource, timelagged data collected from dyads (198 supervisors and 198 subordinates) in Pakistan-based organizations support the proposed hypotheses. The findings show a positive

relationship between perceptions of subordinate competence, supervisors' downward envy, and abusive supervision. In addition, the relationship between

perceived subordinates' competence and supervisors' envy is strong when supervisors' power loss concerns

are high. This study provides useful theoretical and Practical insights for human resource managers dealing with unethical workplace behavior.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shuwaikh_3206,

title = {Insights for sustainable business practices: Comparative impact of independent and corporate venture capital funding on financial and environmental performance},

author = {Fatima Shuwaikh and Agathe Tanguy and Emmanuelle Dubocage and Othman Alolah},

url = {https://www.sciencedirect.com/science/article/pii/S0275531924004252?via%3Dihub},

year  = {2025},

date = {2025-01-01},

journal = {Research In International Business And Finance},

volume = {73},

number = {Part A},

pages = {Saudi Arabia},

abstract = {This study aims to analyze the effects of venture capital (VC) financing schemes on the financial and environmental performance of their VC-backed companies. This research leverages a dataset including 325?U.S. firms between 2002 and 2022 and examines two issues of interest: independent venture capital (IVC) and corporate venture capital (CVC) funding. The results show that IVC-backed companies have significantly better environmental, social, and governance (ESG) ratings and emit fewer greenhouse gases (GHG) emissions when compared to companies backed by CVC. This highlights that the function of IVC is to improve the environmental sustainability of businesses. Together this helps provide a valuable perspective about which VC models (CVC, IVC) does have an impact on how businesses pursue sustainability practices alongside financial performance. This paper contributes to the sustainable entrepreneurship literature by focusing on the importance of funding types with performing sustainable practices.},

keywords = {},

pubstate = {published},

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{wang_3132,

title = {Determining the equilibrium efficient frontier by proportional frontier shifting for data envelopment analysis with fixed-sum outputs},

author = {Weijiao Wang and Fei Xu and Junfei Chu and Yanhua Dong and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0305048324001397?via%3Dihub},

year  = {2025},

date = {2025-01-01},

journal = {Omega-International Journal Of Management Science},

volume = {130},

pages = {103174},

abstract = {The equilibrium efficient frontier data envelopment analysis (EEFDEA) has been extensively used to evaluate efficiencies of the decision-making units (DMUs) with fixed-sum outputs. This study develops a new EEFDEA approach based on a proportional frontier-shifting strategy. Our approach applies an iterative procedure to find the equilibrium efficient frontier (EEF). Each iteration uses a proportional frontier-shifting model to improve an inefficient DMU to the efficient frontier by increasing its fixed-sum outputs. Meanwhile, the DMUs on the efficient frontier decrease fixed-sum outputs proportionally to ensure the total fixed-sum outputs are unchanged. Our theoretical developments show that the proportional frontier-shifting strategy is feasible and can finally obtain a unique EEF. The new approach allows DMUs to use their preferred input and output weights when determining the EEF. This generates an EEF that better aligns with real-world practices and avoids the need to construct it as a single hyperplane, as required by conventional EEFDEA methods. It also avoids unfair adjustments in fixed-sum outputs among the DMUs and eliminates the problem of peculiar efficiency evaluation results (i.e., some DMUs obtain extremely high, or infinity, efficiencies). Finally, we apply our approach to a case study of Chinese vehicle industry companies to demonstrate its usefulness and compare it with the previous representative approach.},

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{chaabene_3194,

title = {Experimental Investigation of the Influence of Process Parameters on the Mechanical Properties of Maraging Steel Produced by Electron Beam Melting},

author = {Ameni Chaabene and Slim Ben Elechi and Sami Chatti and Mohamed Guerich and Ated Ben Khalifa},

url = {https://link.springer.com/journal/170},

year  = {2024},

date = {2024-12-01},

journal = {International Journal Of Advanced Manufacturing Technology},

volume = {135},

pages = {3865-3882},

abstract = {Maraging steels are used in industries that require high precision due to their exceptional mechanical properties. This paper

presents the impact of ten process parameters on the mechanical properties of maraging steel produced via electron beam

melting (EBM). The parameters studied here include printing orientation, scanning speed, beam power, beam diameter,

line offset, layer thickness, scan strategy, number of contours, preheating temperature, and post-processing. The mechanical

properties evaluated are tensile strength, strain at fracture, elongation at failure, energy density, material hardness, porosity,

and surface morphology. The results showed a significant correlation between these mechanical properties and the EBM

parameters. The highest ultimate tensile stress, determined from the tensile test, was recorded at 1491.51 MPa, corresponding

to an energy density of 64.28 J/mm3. The optimal parameters were identified as a line offset of 0.1 mm, a layer thickness

of 50 ?m, a scanning speed of 2800 mm/s, and a beam power of 15 mA. The energy density during EBM in turn affected

microstructure, porosity, and mechanical properties. Furthermore, the study revealed that aging heat treatment had a considerable

impact on the mechanical properties, with the highest tensile strength observed for a sample that had undergone

aging at 460 °C for 8 h. The results show the critical role of process parameters and aging heat treatment in achieving optimal

mechanical properties in EBM-produced maraging steel M789. These findings contribute to the optimization of this

manufacturing technique for industrial applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kadri_3203,

title = {Virtual reality in medical education: Effectiveness of Immersive Virtual Anatomy Laboratory (IVAL) Compared to traditional learning approaches},

author = {Mohammed Kadri and Fatima Ezzahra Boubakri and Timothy Teo and Fatima Zahra Kaghat and Ahmed Azough and Khalid Alaoui Zidani},

url = {https://www.sciencedirect.com/science/article/pii/S0141938224002348?via%3Dihub},

year  = {2024},

date = {2024-12-01},

journal = {Displays},

volume = {85},

number = {-},

pages = {102870},

abstract = {Immersive Virtual Anatomy Laboratory (IVAL) is an innovative learning tool that combines virtual reality and serious games elements to enhance anatomy education. This experimental study compares IVAL with traditional learning methods in terms of educational effectiveness and user acceptance. An experimental design was implemented with 120 undergraduate health-science students, randomly assigned to two groups: an experimental group using IVAL, and a control group following traditional learning methods. Data collection focused on quantitative measures such as pretest and posttest vocabulary assessment scores and task completion times, alongside qualitative measures obtained through a user experience questionnaire. This study utilizes the Technology Acceptance Model (TAM), incorporating variables such as Perceived Usefulness and Perceived Ease of Use. Results revealed significant improvements in the experimental group, with a 55.95% increase in vocabulary scores and an 18.75% reduction in task completion times compared to the control group. Qualitative data indicated that IVAL users reported greater Perceived Usefulness of the technology, improved Perceived Ease of Use, a more positive Attitude Toward Using IVAL, and stronger Behavioral Intention to continue using IVAL for anatomy learning. This study demonstrates that the integration of immersive virtual reality in the IVAL approach offers a promising method to enhance anatomy education. The findings provide insights into the effectiveness of immersive learning environments in improving learning outcomes and user acceptance. While further research is needed to explore long-term effects, this innovative approach not only enhances the effectiveness and enjoyment of anatomy learning but also provides valuable data on optimizing educational technology for improved learning outcomes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhang_3170,

title = {Robotic warehouse systems considering dynamic priority},

author = {Zhengmin Zhang and Yeming Gong and Zhe Yuan and Wanying Chen},

url = {https://www.sciencedirect.com/science/article/pii/S1366554524003703?via%3Dihub},

year  = {2024},

date = {2024-12-01},

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

volume = {192},

pages = {103779},

abstract = {The research proposes a new methodological framework based on dynamic priority to handle different order classes in robotic warehouse systems. Traditional static priority methods in facility logistics may cause low-priority orders to experience excessive delays and fail to ensure fairness. Our dynamic priority approach addresses this fairness issue by adjusting priorities over time to fulfill orders within promised times, ensuring both high-priority orders and long-waiting low-priority orders receive timely attention. We present stochastic models of dynamic priority queueing networks to describe warehouse systems and estimate throughput times. Experiments validate the analytical stochastic models, and experimental results indicate that the dynamic priority model achieves shorter delay times than the static priority model and the FCFS model. We propose design insights based on experimental results and provide an approach to select the optimal robot number. Furthermore, by employing a fairness index, we develop a new decision support tool for determining warehouse configurations with requested performance objectives. Experimental results demonstrate that dynamic priority can ensure fairness across a wider range of scenarios. Additionally, with insufficient pickers, the system performs better with the put wall than without it.},

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{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{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{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{rezaee_vessal_3215,

title = {Multisensory healing: transformative service encounters in nonpharmacological therapies for cancer patients' well-being},

author = {Saeedeh Rezaee Vessal and Mariem El Euch Maalej and Judith Partouche-Sebban and Alain Toledano},

url = {https://www.emerald.com/insight/content/doi/10.1108/jsm-12-2023-0478/full/html},

year  = {2024},

date = {2024-11-01},

journal = {Journal Of Services Marketing},

abstract = {Purpose

This study aims to explore the impact of nonpharmacological therapies on cancer patients' daily illness management and long-term well-being. It focuses on the design and effects of immersive multisensory workshops, including therapies such as yoga, music therapy and visual imagery. By examining individuals' experiences before, during and after the service experience, the study aims to provide comprehensive insights into the transformative effects of these immersive multisensorial experiences from the individuals' perspectives.



Design/methodology/approach

From November 2021 to March 2023, the authors conducted 13 interviews and 3 focus groups (10 participants in total) among cancer patients. Thematic analysis of recorded interviews and focus groups revealed recurring patterns, key themes and meaningful insights from participants' narratives.



Findings

The findings provide insights into individuals' journey of service experiences among cancer patients from a user perspective. By framing the results within the service encounters model, individuals' journey of this immersive multisensory experience is studied in three different periods: the pre-core, the core and the post-core service encounter. The pre-core service encounter includes activities such as information gathering to answer concerns and setting expectations, with the therapy. The core service encounter encompasses the immersive environmental experience, which includes multisensory integration and activity immersion, body-mind reconnection, as well as engaging interactive experiences with service providers, other patients and internal engagement. The post-core service encounter reflects the cognitive, psychological, behavioral and spiritual outcomes of the service.



Originality/value

This paper sheds light on the design of immersive multisensory workshops as nonpharmacological therapy. Adopting a user-focused approach using the service encounters framework helps clarify various aspects of this therapy and its effects on patients' reconnection with their bodies and well-being. This research offers valuable insights for designing effective multisensory therapeutic environments for chronic patients to improve the quality of health-care services.},

keywords = {},

pubstate = {online},

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{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{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{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{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{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{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{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{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{huang_3211,

title = {Catch-up in Complex Products and Systems: A Fuzzy-Set Qualitative Comparative Analysis of China's Equipment Manufacturing Industry},

author = {Han Huang and Jie Xiong and Zhe Yuan and Chun Liu and Lu XU},

url = {https://ieeexplore.ieee.org/document/10738479},

year  = {2024},

date = {2024-10-01},

journal = {Ieee Transactions On Engineering Management},

pages = {1-15},

abstract = {The rapid advancement of Chinese Complex Products and Systems (CoPS) enterprises marks their transition into a post-catch-up phase, challenging conventional theories of catch-up. This study employs a configurational approach to explore the intricate relationships between catch-up environments and strategies, specifically focusing on the distinct paths of State-Owned Enterprises (SOEs) and non-State-Owned Enterprises (non-SOEs) within the CoPS sector. Utilizing Fuzzy-Set Qualitative Comparative Analysis (fsQCA) with data sourced from the EU Industrial R&D Investment Scoreboard (2017-2020) and corresponding Chinese-listed companies, our research identifies diverse catch-up configurations for SOEs, characterized by ?complexity adoption? and ?complexity decipher? models. In contrast, non-SOEs encounter challenges in strategically adapting to environmental shifts, which affects their catch-up strategies. Our findings emphasize the critical role of strategic alignment with external conditions, technological learning, and resource utilization in achieving successful catch-up in CoPS. These configurations enable SOEs to effectively align internal resources with external opportunities, resulting in superior catch-up performance. In contrast, non-SOEs encounter significant obstacles in adapting to environmental changes and optimizing resource utilization, which hinders their ability to attain similar successes. Moreover, our study sheds light on specific challenges faced by non-SOEs in responding to environmental shifts. This enriched understanding provides valuable theoretical insights into the catch-up of latecomer CoPS enterprises and has practical implications for both policymakers and business practitioners.},

keywords = {},

pubstate = {online},

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{nguyen_3192,

title = {Size-dependency and lattice-discreetness effect on fracture toughness in 2D crystals under antiplanar loading},

author = {Thuy Nguyen and Daniel Bonamy},

url = {https://link.springer.com/article/10.1007/s10704-024-00812-4?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20241017&utm_content=10.1007%2Fs10704-024-00812-4},

year  = {2024},

date = {2024-10-01},

journal = {International Journal Of Fracture},

abstract = {Fracture toughness is the material property

characterizing resistance to failure. Predicting its value from the solid structure at the atomistic scale remains elusive, even in the simplest situations of brittle fracture. We report here numerical simulations of crack propagation in two-dimensional fuse networks of different periodic geometries, which are electrical analogs of bidimensional brittle crystals under antiplanar loading. Fracture energy is determined from Griffith's analysis of energy balance during crack propagation, and fracture toughness is determined from fits of the displacement fields with Williams' asymptotic solutions. Significant size dependencies are evidenced in small lattices, with fracture energy and fracture toughness both converging algebraically with system size toward well-defined material-constant values in the limit of infinite system size. The convergence speed depends on the loading conditions and is faster when the symmetry of the considered lattice increases. The material

constants at infinity obey Irwin's relation and properly define the material resistance to failure. Their values are approached up to ? 15% using the recent analytical method proposed in Nguyen and Bonamy (Phys

Rev Lett 123:205503, 2019). Nevertheless, the deviation remains finite and does not vanish when the system size goes to infinity. We finally show that this deviation is a consequence of the lattice discreetness and

decreases when the super-singular terms of Williams' solutions (absent in a continuum medium but present here due to lattice discreetness) are taken into account.},

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{alirezazadeh_3188,

title = {Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification},

author = {Pandar Alirezazadeh and Fadi Dornaika and Jinan Charafeddine},

url = {https://link.springer.com/article/10.1007/s10462-024-10963-4#citeas},

year  = {2024},

date = {2024-10-01},

journal = {Artificial Intelligence Review},

volume = {57},

pages = {326},

abstract = {To enhance the accuracy of breast cancer diagnosis, current practices rely on biopsies and microscopic examinations. However, this approach is known for being time-consuming, tedious, and costly. While convolutional neural networks (CNNs) have shown promise for their efficiency and high accuracy, training them effectively becomes challenging in real-world learning scenarios such as class imbalance, small-scale datasets, and label noises. Angular margin-based softmax losses, which concentrate on the angle between features and classifiers embedded in cosine similarity at the classification layer, aim to regulate feature representation learning. Nevertheless, the cosine similarity's lack of a heavy tail impedes its ability to compactly regulate intra-class feature distribution, limiting generalization performance. Moreover, these losses are constrained to target classes when margin penalties are applied, which may not always optimize effectiveness. Addressing these hurdles, we introduce an innovative approach termed MF-BAM (Mises-Fisher Similarity-based Boosted Additive Angular Margin Loss), which extends beyond traditional cosine similarity and is anchored in the von Mises-Fisher distribution. MF-BAM not only penalizes the angle between deep features and their corresponding target class weights but also considers angles between deep features and weights associated with non-target classes. Through extensive experimentation on the BreaKHis dataset, MF-BAM achieves outstanding accuracies of 99.92%, 99.96%, 100.00%, and 98.05% for magnification levels of ×40, ×100, ×200, and ×400, respectively. Furthermore, additional experiments conducted on the BACH dataset for breast cancer classification, as well as on the LFW and YTF datasets for face recognition, affirm the generalization capability of our proposed loss function.},

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{latukha_3185,

title = {Adaptive Leadership for Multilevel Resilience in the Context of Disruptions},

author = {Marina Latukha and Kaifeng Yan and Polina Yakovleva},

url = {https://doi.org/10.1002/tie.22416},

year  = {2024},

date = {2024-10-01},

journal = {Thunderbird International Business Review},

abstract = {This paper examines the relationship between adaptive leadership and three levels of resilience: individual, team, and organizational. Developing multilevel resilience enables organizations to better anticipate conflicts and respond to environmental disruptions. Through correlation and regression analysis based on 148 respondents from companies in Russia, we build the relationship between adaptive leadership and three levels of resilience, unpacking the new role of leadership in shaping managerial responses to contextual change. The results suggest that adaptive leadership can positively influence all three levels of resilience, with adaptive leadership having the most significant impact on team resilience, then organizational resilience, leaving employee resilience behind. Such findings contribute to a deeper understanding of how exactly managerial mechanisms should be redesigned to overcome disruptions and develop leadership capabilities.},

keywords = {},

pubstate = {online},

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{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{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{chu_3041,

title = {An improved equilibrium efficient frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs},

author = {Junfei Chu and Yanhua Dong and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0377221724004314},

year  = {2024},

date = {2024-10-01},

journal = {European Journal Of Operational Research},

volume = {318},

number = {2},

pages = {592-604},

abstract = {In recent years, significant development has been made in efficiency evaluation for Decision-Making Units (DMUs) with fixed-sum outputs. The Generalized Equilibrium Efficient Frontier Data Envelopment Analysis (GEEFDEA) approach introduced by Yang et al. (2015) is one of the most representative methods. In the GEEFDEA approach, all DMUs are adjusted to become efficient under the same set of weights, indicating that the Equilibrium Efficient Frontier (EEF) constructed consists of only one hyperplane. However, in practical scenarios under the Variable Return to Scale (VRS) assumption, the production frontier always consists of multiple hyperplanes, presenting a more complex shape. To fill this research gap, we propose an improved Equilibrium Efficient Frontier Data Envelopment Analysis approach. Our approach allows DMUs to have different weights for inputs, variable-sum outputs, and fixed-sum outputs, resulting in an EEF with multiple hyperplanes. It is noted that our new approach uses a non-linear model to obtain the EEF. We show that the model can be linearized in the case of a single fixed-sum output. In situations involving multiple fixed-sum outputs, we propose an algorithm based on the Expectation Maximization (EM) mechanism to solve the model to obtain an EEF. Finally, we illustrate the advantages of our new approach through a numerical example and a case study in the global motor vehicle industry.},

keywords = {},

pubstate = {published},

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{guizani_2350,

title = {Corporate social responsibility and stock price crash risk: the mediating effect of accounting conservatism},

author = {Assil Guizani and Faten Lakhal and Florence Depoers and Emna Brahem},

url = {https://philpapers.org/rec/GUICSR 

doi 10.1504/ijbge.2023.10055064},

year  = {2024},

date = {2024-10-01},

journal = {International Journal of Business Governance and Ethics},

volume = {18},

number = {6},

pages = {651-677},

abstract = {The purpose of this paper is to investigate the effect of corporate social responsibility on the firm-specific stock price crash risk. It also examines how this effect is driven through accounting conservatism. Based on a sample of French-listed firms from the period 2007 to 2016, the authors use GLS regression models on panel data estimated with robust standard errors, clustered at the firm level. The results show that firms' CSR performance is negatively associated with stock price crash risk. These findings suggest that socially responsible firms are less likely to hide bad news and poor performance to comply with stakeholders' ethical expectations, which reduces the stock price crash risk. Furthermore, we find that CSR indirectly decreases the stock price crash risk by enhancing accounting conservatism. This result suggests that accounting conservatism is a channel through which CSR decreases stock price crash risk. Our results provide practical implications for policymakers about the necessity to increase CSR activities as a good corporate governance device.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sun_3024,

title = {LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation},

author = {Danyang Sun and Fadi Dornaika and Jinan Charafeddine},

url = {https://pdf.sciencedirectassets.com/272144/1-s2.0-S1566253524X00068/1-s2.0-S1566253524002628/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEBcaCXVzLWVhc3QtMSJHMEUCIB%2Bm2yVgKP%2BTa1w1tSg%2FydrF%2Fvb0NtGUi2OtE0dCfm5ZAiEAvS5zznXIlJGGqU0uDk6urwemR%2FjBXI8flOEVsv%2Bqi7MqvAUIj%2F%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAFGgwwNTkwMDM1NDY4NjUiDGlNeMR%2BKpLBIx%2FJkiqQBUxi37rUay01aPHdPyUjlEmZScIOm09oNOKMm2j4kAJ%2BBXu4xZ6ts%2FYVWeKloZ9bKO688mVLpZYW96XCoW8DS9E%2FGvhCoLNFgFEV35VB1ai8O7M21%2BlU%2Br8%2FcPbj77ypLNC%2BKDWJV0NPrB1DKOvao6ZpbspbrdK4kPspEAzZ%2FVkFT%2FKiopgMXf6iniq2tANtPaizXkk%2BZaNSAGIFt9OmCXMk6H7VYJALKEF4ZJm9kBslRj5nE5Y6edtx2JSSptvlujKMXhJbwjIiUiX7Ui1B4pUWDVtzmLpVcElBM78VwS0H8TKlHXBl5pyVDCym%2Fp2r%2BZbZdJWW6ZWgrqb26Dqc%2F22RSCtts8Lm%2Fs8vSHEc2cfI2mYpPSj5gL51yaDqoZyA9JcEBsQRAecvv%2F8RkbvtzMzuNBRjn4V8HoQR137Q2pYM%2FJgAly5tkgk5KS8JB2jb%2BaTA88ZJLx6YSDeqJdX2PXwyB1XvrrRy8oUgMmff8s2zVgT1f1dX5iPmZ1jtYEVu40cdvJ88ac8j4zAfWQPmBb%2FvfXWd%2BDVOp7h8ftVwQnI7bLDlFBXbhH3oVb%2FFpJ3Bw3DFakM7j%2FSOVug7DP8dC9h8Dj2oIOW8C4QAgdCeHaDRMfh2F7VZjw3FZf3i631%2BAdBp8r4d4XkYeREmbmiovEoVWBBHoYD6RTIK9lp37AmDnhFSAMr2LEmzG2NypUQ3Hwb7zLu4thOxdGz5MBApBAh44ukY8YuN1ufa38eyKRtCUO%2Fxd2kuIIJ2LVXa3bQYug5Lx%2B9KIKhgqxCrwptvf8OaxtQ5FoYhuqNU0pL1Chohou2d1vld8RViOconvLl0VWMsZ5YyP9ZxaM0xtzdz9jZQUUyYOV92u8ehS7ie1qwrMNDAwrIGOrEBxpUgPvpVhdMKearFfabKLjWh5dtniMHIFTE5cSfjDp3cUuAHaEMlV2m22S1E7%2B%2BqLhJRHUxrx0Ahj9AgijOS6Ej7rGG3xGTKGOnhYGjvrjhMzhpYH7bBR2UDVY%2Ff5JnU3IqbM8%2BmzPkwAtPDE4f74N3zJ3CUErPd4nF0UOXyQABK0JE3XGOZmeqIIDshevKKQuAQWWCmCYyGaPWgjtPkrFNgDEqhkhXN4QWxs%2FJfC2Tb&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20240524T152432Z&X-Amz-SignedHeaders=host&X-Amz-Expires=299&X-Amz-Credential=ASIAQ3PHCVTY4RJ4ZEGT%2F20240524%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=49fff6e8e4aa2160d63ba58a605230103a570a99a899c33049a2447724567bf6&hash=cf866cff1fcd93c461170f4149fdcc586b3e8c5bd13fbef0361db16227b04cc0&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1566253524002628&tid=spdf-53f47d50-21b1-4fa1-a93b-92addbddb736&sid=5b8e3010830f534aec5849b2797ace9af2f9gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=001156565a0352015207&rr=888e4b0cfc530203&cc=fr},

year  = {2024},

date = {2024-10-01},

journal = {Information Fusion},

volume = {110},

pages = {102484},

abstract = {Medical image segmentation often faces challenges related to overfitting, primarily due to the limited and complex training samples. This challenge often prompts the use of self-supervised learning and data augmentation. However, self-supervised learning requires well-defined hand-crafted tasks and multiple training stages. On the other hand, basic image augmentation techniques like cropping, rotation, and flipping, effective for natural scene images, have limited efficacy for medical images due to their isotropic nature.



While regional dropout regularization data augmentation methods have proven effective in image recognition tasks, their application in image segmentation is not as extensively studied. Additionally, existing augmentation methods often operate on square regions, leading to the loss of crucial contour information. This is particularly problematic for medical image segmentation tasks dealing with regions of interest characterized by intricate shapes. In this work, we introduce LCAMix, a novel data augmentation approach designed for medical image segmentation. LCAMix operates by blending two images and their segmentation masks based on their superpixels, incorporating a local-and-contour-aware strategy. The training process on augmented images adopts two auxiliary pretext tasks: firstly, classifying local superpixels in augmented images using an adaptive focal margin, leveraging segmentation ground truth masks as prior knowledge; secondly, reconstructing the two source images using mixed superpixels as mutual masks, emphasizing spatial sensitivity. Our method stands out as a simple, one-stage, model-agnostic, and plug-and-play data augmentation solution applicable to various segmentation tasks. Notably, it requires no external data or additional models. Extensive experiments validate its superior performance across diverse medical segmentation datasets and tasks. The source codes are available at https://github.com/DanielaPlusPlus/DataAug4Medical.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el_mansouri_2865,

title = {The Cognitive Cost of Going the Extra Mile: How Striving for Improvement Relates to Cognitive Performance},

author = {Mouna El Mansouri and Karoline Strauss and Doris Fay and Julia Smith},

url = {https://psycnet.apa.org/fulltext/2024-86648-001.html},

year  = {2024},

date = {2024-10-01},

journal = {Journal Of Applied Psychology},

volume = {109},

number = {10},

pages = {1592-1610},

abstract = {Organizations are increasingly expecting individuals to engage in task proactivity, that is, to find better ways of doing their job. While prior research has demonstrated the benefits of task proactivity, little is known about its cognitive costs. To investigate this issue, we build theory on how task proactivity affects end-of-day cognitive performance. We propose that task proactivity involves deviating from established ways of working and engaging in cognitively demanding activities requiring high levels of mental effort, which manifest as an erosion of end-of-day cognitive performance. In two daily diary studies, we found that individuals engaging in task proactivity experience lower end-of-day cognitive performance (Study 1 over five consecutive workdays: n = 163, k = 701; Study 2 with multiple daily assessments over seven consecutive workdays: n = 93, k = 471), even when controlling for task performance (Study 1) and beginning-of-day cognitive performance (Study 2). In two experiments, we then show that simulating task proactivity results in greater mental effort and lower routineness but not in greater ego depletion (Study 3: N = 318 and Study 4: N = 319) or increased self-control demands, -effort, or -motivation (Study 4). This provides support for our proposed cognitive pathway. Our findings enhance our understanding of the cognitively demanding nature of task proactivity and provide empirical support for its cognitive costs using a mental fatigue lens. They also suggest that the impact of a cognitively demanding activity like task proactivity may persist throughout the day and carry over to other tasks involving cognitive performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{meng_3010,

title = {Consensus adjustment for multi-attribute group decision making based on cross-allocation},

author = {Fan-Yong Meng and Deng-Yu Zhao and Zai-Wu Gong and Jun-Fei Chu and Witold Pedrycz and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0377221724003400},

year  = {2024},

date = {2024-10-01},

journal = {European Journal Of Operational Research},

volume = {318},

number = {1},

pages = {200-216},

abstract = {Consensus adjustment is crucial in group decision making (GDM), aiming to reduce discrepancies in decision makers' (DMs') judgments for final decision results. The consensus adjustments made by DMs are interactive rather than independent. However, few studies investigate the consensus adjustment problem from the perspective of interactions among DMs. This study first constructs a model to determine the total minimum consensus adjustment under the requirements of consensus threshold and individual-collective judgment bias. Then, a consensus adjustment approach based on cross-allocation scheme is proposed to address the inconsistency between individual and collective minimum adjustments, which concerns all DMs' individual favorable allocation results under the total minimum consensus adjustment. The cross-allocation scheme ensures unanimous support for the same allocation result among all rational DMs, thereby eliminating the discrepancies among them. Subsequently, the optimization model-based minimum consensus judgment penalty is formulated to handle the non-cooperative behaviors of DMs. Furthermore, we show how to determine the unique consensus adjustment result for the non-cooperative DMs using the cross-allocation scheme. Therefore, our study contributes by developing a new GDM method that conducts consensus adjustment allocation by considering interactions among DMs. Finally, a case study is employed to demonstrate the specific application of the new method and discuss its efficiency. Meanwhile, comparison analysis and simulation experiments are provided.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}