New Materials, Intelligent Systems, and Innovative Companies

@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}

}

@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{de_grazia_3030,

title = {Procrastination or incomplete data? An analysis of USPTO examiner search activity},

author = {Charles de Grazia and Alexander Giczy and Nicholas Pairolero},

url = {https://doi.org/10.1016/j.respol.2024.105033},

year  = {2024},

date = {2024-09-01},

journal = {Research Policy},

volume = {53},

number = {7},

pages = {105033},

abstract = {Frakes and Wasserman (2020) finds evidence that United States Patent and Trademark Office (USPTO) patent examiners disproportionately receive credit for examination activities at the end of production periods and interprets this behavior as systemic examiner procrastination. Using newly assembled micro data on the

timing of USPTO examiner activities, our results show examiner work effort more closely resembles a uniform distribution over the production period, indicating consistent workflow and not procrastination. The assembled

data better track the precise timing of examiner work activities than the data used in Frakes and Wasserman

(2020), explaining the differences in our results. While Frakes and Wasserman (2020) conduct a thorough analysis of the markers and consequences of ??end-loading'', its use of an inadequate proxy for examination activity (i.e., Office action count dates) leads to incorrect conclusions about the examination process (i.e., widespread examiner procrastination)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tao_3056,

title = {Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China},

author = {Weiliang Tao and Shimei Weng and Xueli Chen and Fawaz Baddar Al Hussan and Malin Song},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0140988324004274},

year  = {2024},

date = {2024-08-01},

journal = {Energy Economics},

volume = {136},

pages = {107719},

abstract = {The widespread integration of artificial intelligence (AI) technology in the realms of energy and the environment has emerged as a catalyst for transformative shifts toward low-carbon energy structures. However, existing literature and practical applications have yet to delve into the intricate ways in which intelligent technology influences energy structures. Consequently, this study addresses this gap by constructing a comprehensive theoretical model that encompasses robots and differentiated energy inputs. By drawing on the Chinese case, this research investigates the impact of AI on low-carbon energy structure transformation, both theoretically and empirically. The study's results reveal that AI technology significantly advances the cause of low-carbon energy transformation. Notably, this effect is manifested in the post-Industry 4.0 era and regions endowed with abundant renewable energy resources and strong governmental support for innovation. Rigorous robustness tests substantiate the existence of this relationship. Furthermore, adopting smart technology fosters energy structure transformation through industrial restructuring, and introduces the energy rebound effect, thereby partially offsetting its positive impact. Importantly, the study underscores that the efficacy of AI is further heightened when the influx of innovation factors surpasses a certain threshold. These findings furnish crucial evidence and policy insights for China and other developing nations, offering guidance on accelerating energy transitions and attaining carbon neutrality.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shakir_3063,

title = {Novel Approximate Distribution of the Generalized Turbulence Channels for MIMO FSO Communications},

author = {Wafaa Shakir and Ali Mahdi and Hani Hamdan and Jinan Charafeddine and Haitham Satai and Radouane Akrache and Samir Hadad and Jinane Sayah},

url = {https://ieeexplore.ieee.org/document/10568928},

year  = {2024},

date = {2024-08-01},

journal = {Ieee Photonics Journal},

volume = {16},

number = {4},

pages = {1 - 15},

abstract = {In this paper, we develop an innovative series representation for the sum of Rician non-zero boresight pointing error random variates based on the k - ? distribution, which is suitable for multiple-input multiple-output (MIMO) transmission for the first time. Then, using this new representation, we introduce a novel closed-form probability density function (PDF) approximation for the sum of Gamma-Gamma random variates with generalized pointing errors and atmospheric attenuation of MIMO free-space optical (FSO) communications. Statistical Kolmogorov-Smirnov tests confirm the accuracy of this approximation over a wide range of channel conditions. The significance of this approximation is emphasized by deriving closed-form expressions for the ergodic capacity, outage probability, and average bit error rate (BER) using Meijer's G-function. This paper provides a comprehensive analysis of the performance of MIMO FSO systems utilizing the equal gain combining (EGC) diversity technique under various conditions, such as different numbers of transmitter and receiver, turbulence intensities, the effects of non-zero boresight pointing errors, and path attenuation. The results show that using MIMO technology with more transmitters and receivers significantly improves the performance of FSO communication compared to other diversity techniques, including single input single output (SISO), and multiple input single output (MISO) systems. Detailed evaluations of the ergodic capacity, outage probability, and average BER performance at high signal-to-noise ratios provide additional insights. Monte-Carlo simulation results demonstrate the accuracy of the proposed approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bouzbib_2109,

title = {PalmEx: Adding Palmar Force-Feedback for 3D Manipulation with Haptic Exoskeleton Gloves},

author = {Elodie Bouzbib and Marc Teyssier and Thomas Howard and Claudio Pacchierotti and Anatole Lécuyer},

url = {https://ieeexplore.ieee.org/document/10041940/},

year  = {2024},

date = {2024-07-01},

journal = {Ieee Transactions On Visualization And Computer Graphics},

volume = {30},

number = {7},

pages = {3973-3980},

abstract = {Haptic exoskeleton gloves are a widespread solution for providing force-feedback in Virtual Reality (VR), especially for 3D object manipulations. However, they are still lacking an important feature regarding in-hand haptic sensations: the palmar contact.

In this paper, we present PalmEx, a novel approach which incorporates palmar force-feedback into exoskeleton gloves to improve the overall grasping sensations and manual haptic interactions in VR. PalmEx's concept is demonstrated through a self-contained hardware system augmenting a hand exoskeleton with an encountered palmar contact interface -- physically encountering the users' palm.

We build upon current taxonomies to elicit PalmEx's capabilities for both the exploration and manipulation of virtual objects. 

We first conduct a technical evaluation optimising the delay between the virtual interactions and their physical counterparts.

We then empirically evaluate PalmEx's proposed design space in a user study (n=12) to assess the potential of a palmar contact for augmenting an exoskeleton. Results show that PalmEx offers the best rendering capabilities to perform believable grasps in VR.

PalmEx highlights the importance of the palmar stimulation, and provides a low-cost solution to augment existing high-end consumer hand exoskeletons.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dornaika_2943,

title = {Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering},

author = {Fadi Dornaika and Sally El Hajjar and Jinan Charafeddine},

url = {https://www.sciencedirect.com/science/article/pii/S0952197624004949?via%3Dihub},

year  = {2024},

date = {2024-07-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {133},

number = {Part D},

pages = {108336},

abstract = {Automatic classification methods widely used for diagnosing and analyzing COVID-19 cases. These methods assume known labels and rely on a single view of the dataset. Given the prevalence of COVID-19 cases and the extensive volume of patient records lacking labels, this communication underscores our unique approach?conducting the first study on COVID-19 case diagnosis in an unsupervised manner. Our work operates under the assumption of prior knowledge regarding the number of classes, such as COVID-19, pneumonia, and normal, in a case study.



By adopting an unsupervised learning paradigm, we leverage the wealth of unlabeled data, reducing dependence on human experts for annotating numerous images. This paper introduces an enhanced version of a recent direct method where non-negative cluster indices and spectral embeddings are jointly estimated. Beyond the inherent advantages of this method, our proposed model introduces improvements through two additional types of constraints: (i) ensuring consistent smoothing of cluster labels across all views and (ii) imposing an orthogonality constraint on the matrix of cluster assignments. The efficacy of the proposed method is demonstrated using the public COVIDx dataset with three classes, showcasing promising results in categorizing radiographs. The proposed approach is tested on other public image datasets to assess its effectiveness.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_3019,

title = {Dynamic bargaining game DEA carbon emissions abatement allocation and the Nash equilibrium},

author = {Junfei Chu and Tianteng HOU and Feng Li and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S014098832400330X},

year  = {2024},

date = {2024-06-01},

journal = {Energy Economics},

volume = {134},

pages = {107622},

abstract = {Allocating carbon emissions abatement (CEA) is crucial for reducing carbon footprint of organizations (or decision-making units, DMUs) and mitigating global warming. However, discrepancies often arise among DMUs regarding CEA allocation. This study introduces a dynamic bargaining game approach to address the issue under the nonparametric production frontier analysis framework. Our approach employs an iterative process, allowing each DMU to propose its individual preferred CEA allocation proposal in each iteration. Subsequently, dynamic negotiations among the DMUs occur, leading to the eventual consensus on the CEA allocation result. Our theoretical analysis demonstrates that, at the end of the dynamic bargaining game, all DMUs will converge on the same CEA allocation result, termed as the consensus CEA allocation result. This agreement is reached despite each DMU customizing its individual CEA allocation proposal to suit its own interests. Moreover, we prove that this consensus CEA allocation result represents a Nash equilibrium solution, thereby ensuring its stability and acceptance among all DMUs. Finally, we provide a simple numerical example and a case study of CEA allocation across 27 European Union countries to illustrate the usefulness of our approach and compare it with prior CEA allocation approaches.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{barhoumi_2861,

title = {Numerical Study of Doxorubicin transdermal delivery for breast cancer treatment using Microneedles},

author = {Houda BARHOUMI and Marie Carole Kouassi and Achraf Kallel},

url = {https://onlinelibrary.wiley.com/doi/10.1002/cnm.3812},

year  = {2024},

date = {2024-05-01},

journal = {International Journal For Numerical Methods In Biomedical Engineering},

volume = {40},

number = {5},

pages = {e3812},

abstract = {The lack of in vivo studies on the delivery of doxorubicin within human skin,

especially the absence of data on the doxorubicin diffusion coefficient, has

made understanding its transdermal delivery kinetics challenging. In this

study, as a first step, governing equations and finite element methods were

employed to reproduce Franz diffusion cell experiment in human cadaver skin.

The application of this experiment representative model with a fitting method

resulted in approximate values for the diffusivity of doxorubicin across various

skin layers. The estimated values were used later to conduct a comprehensive

examination of doxorubicin administration for breast tumor treatments. In a

2D axisymmetric model using Fick's Law and then a microneedles array 3D

model, crucial parameters effects on delivery efficiency were examined, such

as the microneedle tip diameter, tip-to-tip distance, and tumor depth. As

highlighted by the findings of this study, these parameters have an impact on

the effectiveness of doxorubicin delivery for treating breast tumors. The focus

of this research is on the potential of numerical methods in biomedical engineering,

which addresses the urgent need for data on doxorubicin diffusion in

human skin and offers valuable insights into optimizing drug delivery strategies

for enhanced therapeutic outcomes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{scuotto_2933,

title = {A destination's personality as a factor in tourists' environmental knowledge management},

author = {Veronica Scuotto and Deniz karagöz and Nicola Farronato and Ilan Alon},

url = {https://www.emerald.com/insight/content/doi/10.1108/JKM-07-2022-0534/full/html},

year  = {2024},

date = {2024-05-01},

journal = {Journal Of Knowledge Management},

volume = {28},

number = {5},

pages = {1185-1203},

abstract = {Purpose

Environmental knowledge management (EKM) has been studied mainly owing to the increasing awareness of environmental issues. Such issues have generated a warning in the tourism industry that has stimulated a new wave of research on EKM. EKM forges landscape characteristics and so destination image. In turn, EKM sounds affecting tourism destination which calls for destination personality which shows a research context less explored. From a knowledge management perspective, The present research aims to investigate on EKM to understand how it leverages tourists' and destination personality.



Design/methodology/approach

With the intent of exploring EKM, the research uses a quantitative analysis on a sample of 2,222 young Chinese tourists. In this context, EKM is linked with destination's personality and tourists' personalities, their satisfaction with the destination and their behavioral intentions.



Findings

By SPSS regression model, EKM and destination personality are positively linked. This positive relationship is also reflected on destination personality and destination satisfaction, behavioral intention.



Originality/value

The authors' original contribution to the knowledge management literature extends the new wave of research on EKM. The research also proves the need to make a close collaboration between tourists, the local community and marketers. Marketers need to pay more attention to what tourists want to do and see in the place visited. In a nutshell, there is the need of enforcing and promoting EKM.



Keywords},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boubakri_3013,

title = {Virtual Reality Classrooms vs. Video Conferencing Platforms: Initial Design and Evaluation Study for Collaborative Distance Learning},

author = {Fatima Ezzahra Boubakri and Mohammed Kadri and Fatima Zahra Kaghat and Ahmed Azough},

url = {https://link.springer.com/article/10.1007/s11042-024-19309-2},

year  = {2024},

date = {2024-05-01},

journal = {Multimedia Tools And Applications},

abstract = {In recent years, remote work and communication via videoconferencing tools have become increasingly prevalent across various sectors, including education, where students and teachers use these platforms to attend virtual classes. Although videoconferencing offers advantages such as convenience and flexibility, it also has limitations. For instance, remote group work and practical activities may pose challenges, and students may experience decreased motivation to learn due to a lack of social interaction and support provided in traditional classrooms. To address these limitations, this study proposes ?V-Class,? an immersive multi-user virtual reality learning system that combines distance learning with traditional learning by immersing students in a virtual classroom and facilitating collaboration and hands-on activities. This study evaluates the effectiveness of our system ?V-Class? using both subjective and objective measurements to examine variables like presence, performance, collaboration, and engagement. It is compared to Zoom, a popular videoconferencing tool, with 50 participants. V-Class outperformed Zoom in all dimensions, indicating its potential as a superior solution for enhancing distance learning over videoconferencing tools.},

keywords = {},

pubstate = {online},

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 = {2024-05-01},

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 = {online},

tppubtype = {article}

}

@article{suhail_3049,

title = {Compulsory citizenship behavior, role overload, creativity and service-oriented voluntary behavior: does generational difference have an impact?},

author = {Aamir Suhail and Inam Ul Haq and Muhammad Umer Azeem and Eran Eran Vigoda-Gadot},

url = {https://www.emerald.com/insight/content/doi/10.1108/PR-12-2022-0894/full/html},

year  = {2024},

date = {2024-05-01},

journal = {Personnel Review},

abstract = {Purpose

This study investigates how compulsory citizenship behaviors (CCB) affect employees' energy and motivation to engage in other voluntary behaviors, such as service-oriented citizenship behavior and creativity. Specifically, we explore how employees' perceptions of job overload mediate this relationship, based on their generational differences.



Design/methodology/approach

This study employed a time-lagged survey design to collect data from 265 frontline employees and their supervisors in Pakistani-based organizations. The data was collected in three rounds, with a three-week gap between each round.



Findings

The findings suggest that role overload, resulting from compulsory citizenship pressure, undermines millennial employees' service-oriented organizational citizenship behavior (OCB) and creativity. However, these negative effects are less salient among non-millennials.



Practical implications

The findings of this study provide valuable insights for managers, emphasizing the importance of exercising caution when imposing excessive citizenship pressures on employees against their will. In addition, organizations and human resource (HR) managers should consider devising policies for formal recognition of voluntary behaviors that contribute to organizational effectiveness.



Originality/value

This study contributes to existing CCB research by unraveling the previously unexplored mediating role of role overload and the contingency role of generational difference in explaining how and when coerced citizenship demands hinder employees' propensity to engage in service-oriented OCB and creativity.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{ahmed_3081,

title = {Digital leadership and innovative work behavior: impact of LMX, learning orientation and innovation capabilities},

author = {Farooq Ahmed and M. Muzamil Naqshbandi and Mehwish Waheed and Noor Ul-Ain},

url = {https://www.emerald.com/insight/content/doi/10.1108/MD-04-2023-0654/full/html},

year  = {2024},

date = {2024-05-01},

journal = {Management Decision},

abstract = {Purpose - Grounded in the Social Exchange theory, this study focuses on the perception of digital leadership

and innovative work behaviors. It also examines the complex effects of leader-member exchange, learning

orientation, and innovation capabilities.

Design/methodology/approach - We undertake a quantitative approach using a two-wave longitudinal

field survey of 440 employees and managers from various backgrounds working in the automobile industry in

France.

Findings - The findings based on Structural Equation Modeling reveal that the perception of digital

leadership leads to innovative work behavior while leader-member exchange moderates between the

perception of digital leadership and learning orientation. The findings also support the mediating roles of

learning orientation and innovation capabilities.

Originality/value - The study contributes important policy suggestions, raises queries for additional

investigation, and suggests theoretical and practical implications for leadership and organizational

environmental factors to foster innovative work behaviors in organizations.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{scuotto_2390,

title = {Linking supply chain resilience with knowledge management for achieving supply chain performance},

author = {Veronica Scuotto and Subhodeep Mukherjee and Ramji Nagariya and K. Mathiyazhagan},

url = {https://www.emerald.com/insight/content/doi/10.1108/JKM-12-2022-0985/full/html},

year  = {2024},

date = {2024-04-01},

journal = {Journal Of Knowledge Management},

volume = {28},

number = {4},

pages = {971-993},

abstract = {Purpose - Supply chain (SC) and knowledgemanagement (KM) have been studied; still, there is a need to understand how KM can be used for SC resilience and improving the firm's performance. The purpose of the paper is to study and analyze SC resilience strategies based on KM processes to enhance SC performance considering six SC strategies: SC reengineering, collaboration, SC innovation, SC integration, SC agility and SC riskmanagement.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mhiri_2886,

title = {Modeling and Analysis of a Macro-fiber Piezoelectric Bimorph Energy Harvester operating in d33-Mode using Timoshenko Theory},

author = {Mohamed Taha Mhiri and Mnaouar Chouchane and Mohamed Guerich and Walid Larbi},

url = {https://www.peeref.com/journals/5764/mechanics-of-advanced-materials-and-structures},

year  = {2024},

date = {2024-04-01},

journal = {Mechanics Of Advanced Materials And Structures},

abstract = {Piezoelectric bimorph cantilevered beams are frequently employed in energy harvesting applications. The use of macro-fiber composites, which combine piezoelectric fibers with rectangular cross-sections and interdigitated electrodes, has significantly enhanced their performance by enabling operation in the 33-mode of piezoelectricity, thereby increasing conversion efficiency. In this paper, the Timoshenko beam theory is applied to overcome the limitations of the Euler-Bernoulli theory in modeling transverse vibrations of harvesters with low slenderness ratios (length to thickness ratios). The mixture rule formulation is applied to determine the equivalent properties of the macro-fiber composite (MFC) structure. The electromechanical properties of a representative volume element (RVE) bounded by two successive interdigitated electrodes are coupled to the overall electro-elastic dynamic model of the structure using the Timoshenko theory. Frequency response functions for the power and tip vibration displacement of the MFC bimorph beam are determined from the model. Experimental data from the literature are used to validate the improved results predicted by the model developed in this paper. A comparative analysis between the electromechanical responses predicted using a model based on Timoshenko and a model based on Euler-Bernoulli theory is conducted showing agreement, for harvesters with large slenderness ratios and discrepancies of up to 30 % for low slenderness ratios. It has also been shown that the model based on Euler-Bernoulli theory overestimates both the mechanical and the electrical responses for low slenderness ratios as the shear and rotary inertia effects are not negligible in this case.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{bouaziz-ermann_2937,

title = {Towards the Impossibility of Quantum Public Key Encryption with Classical Keys from One-Way Functions},

author = {Samuel Bouaziz-Ermann and Alex B. Grilo and Damien Vergnaud and Quoc Huy VU},

url = {https://doi.org/10.62056/ahvr-11zn4},

year  = {2024},

date = {2024-04-01},

journal = {IACR Communications in Cryptology},

volume = {1},

number = {1},

pages = {32},

abstract = {There has been a recent interest in proposing quantum protocols whose security relies on weaker computational assumptions than their classical counterparts. Importantly to our work, it has been recently shown that public-key encryption (PKE) from one-way functions (OWF) is possible if we consider quantum public keys. Notice that we do not expect classical PKE from OWF given the impossibility results of Impagliazzo and Rudich (STOC'89).



However, the distribution of quantum public keys is a challenging task. Therefore, the main question that motivates our work is if quantum PKE from OWF is possible if we have classical public keys. Such protocols are impossible if ciphertexts are also classical, given the impossibility result of Austrin et al.(CRYPTO'22) of quantum enhanced key-agreement (KA) with classical communication.



In this paper, we focus on black-box separation for PKE with classical public key and quantum ciphertext from OWF under the polynomial compatibility conjecture, first introduced in Austrin et al.. More precisely, we show the separation when the decryption algorithm of the PKE does not query the OWF. We prove our result by extending the techniques of Austrin et al. and we show an attack for KA in an extended classical communication model where the last message in the protocol can be a quantum state.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{khalloufi_2958,

title = {Evaluating the Accuracy of Cloud-based 3D Human Pose Estimation Tools: A Case Study of MOTiO by RADiCAL},

author = {Hamza Khalloufi and Mohamed Zaifri and Abdessamad Benlahbib and Fatima Zahra Kaghat and Ahmed Azough},

url = {https://thesai.org/Downloads/Volume15No4/Paper_6-Evaluating_the_Accuracy_of_Cloud_based_3D_Human_Pose.pdf},

year  = {2024},

date = {2024-04-01},

journal = {International Journal of Advanced Computer Science and Applications (IJACSA)},

volume = {15},

number = {4},

pages = {43-54},

abstract = {The use of 3D Human Pose Estimation (HPE) has become increasingly popular in the field of computer vision due to its various applications in human-computer interaction, animation, surveillance, virtual reality, video interpretation, and gesture recognition. However, traditional sensor-based motion capture systems are limited by their high cost and the need for multiple cameras and physical markers. To address these limitations, cloud-based HPE tools, such as DeepMotion and MOTiON by RADiCAL, have been developed. This study presents the first scientific evaluation of MOTiON by RADiCAL, a cloud-based 3D HPE tool based on deep learning and cloud computing. The evaluation was conducted using the CMU dataset, which was filtered and cleaned for this purpose. The results were compared to the ground truth using two metrics, the Mean per Joint Error (MPJPE) and the Percentage of Correct Keypoints (PCK). The results showed an accuracy of 98 mm MPJPE and 96% PCK for most scenarios and genders. This study suggests that cloud-based HPE tools such as MOTiON by RADiCAL can be a suitable alternative to traditional sensorbased motion capture systems for simple scenarios with slow movements and little occlusion.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{scuotto_2385,

title = {Knowledge management and technological innovation in family SMEs context},

author = {Veronica Scuotto and Simona Alfiero and Maria Teresa Cuomo and Filippo Monge},

url = {https://www.emerald.com/insight/content/doi/10.1108/JKM-04-2023-0281/full/html},

year  = {2024},

date = {2024-03-01},

journal = {Journal Of Knowledge Management},

volume = {28},

number = {3},

pages = {789-798},

abstract = {Purpose

This paper conceptually aims to discuss the dual role of knowledge management (KM) and technological innovation, which brings about innovations, although it can be limited by psychological and emotional ownership.



Design/methodology/approach

This study examines the real impact of the paper on KM and technological innovation in family small to medium enterprises (FSMEs). This is a unique context affected by psychological and emotional ownership. However, COVID-19 has forced FSMEs to consider new strategies and practices to preserve their competitive advantage.



Findings

In this scenario, knowledge exchange, knowledge absorption and technology adoption appear relevant to the innovation process. This study offers a framework for how the duality of KM and technological innovation affects innovation.



Originality/value

Although extant research has explored technological innovation outcomes, a literature review reveals that accumulated studies on the drivers of technological innovation and KM in the context of FSMEs require further inquiry. Family members' emotional ownership may foster KM because identification with organizational goals enhances individuals' willingness to access and share information and stimulates new products and technological development.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pelet_2450,

title = {Exploring how consumer cooperatives might strategically incorporate social media to distribute wine},

author = {Jean-Éric Pelet and Basma Taieb and Benoît Lecat and Nic S. Terblanche and Rami Alkhudary},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/cb.2255},

year  = {2024},

date = {2024-03-01},

journal = {Journal Of Consumer Behaviour},

volume = {23},

number = {2},

pages = {915-928},

abstract = {This research advances our understanding of disruptions to marketing channels in

the digital world by investigating the viability of consumer cooperative systems

which are envisioned as multi-actor constructed networks using social media

(SM) platforms. It introduces the concepts of ?social media consumer wine cooperator?

as a new distribution channel for wine and investigates the consumer's intention

to participate in an SM and become a wine cooperator. Relying on the uses and

gratifications theory (UGT), we adopted a quantitative research inquiry with data

gathered using an online survey involving a sample of 486 French consumers. We

empirically tested the relationships among four factors: attitude toward buying wine

based on SM recommendations, perceived risks, intention to buy wine on SM, and

consumer intention to become an SM wine cooperator. Findings indicate that the

intention to be an SM wine cooperator is positively correlated with attitude toward

buying wine based on SM recommendations and the intention to purchase wine on

SM. To finish with, we link the concept of the consumer wine co-op to the current

debate in the literature on centralized versus decentralized (built on top of blockchain

networks) social media platforms, opening the door for future research avenues.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kadri_2548,

title = {IVAL: Immersive Virtual Anatomy Laboratory for enhancing medical education based on virtual reality and serious games, design, implementation, and evaluation},

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

url = {https://www.sciencedirect.com/science/article/pii/S1875952123000794?via%3Dihub},

year  = {2024},

date = {2024-03-01},

journal = {Entertainment Computing},

volume = {49},

number = {March 2024},

pages = {100624},

abstract = {Learning anatomy is a complex subject that requires a thorough understanding of 3D structures, posing challenges with traditional teaching methods. Anatomy education often involves the use of cadavers, which can be expensive, time-consuming, and ethically complex. As a result, medical educators need effective ways to engage students and promote learning. Immersive virtual reality (IVR) and serious games (SGs) provide innovative and immersive learning experiences that enhance students' understanding and retention of anatomical concepts and improve the effectiveness of anatomy education. This work aims to develop and evaluate the effectiveness of IVAL,11Immersive Virtual Anatomy Laboratory. an Immersive Virtual Anatomy Laboratory, for immersive and engaging learning experiences. A study involving dozens of University students assessed the efficacy of this innovative tool, resulting in high levels of satisfaction, success, and learning outcomes. IVAL was found to be an effective tool in promoting learning and retention of anatomical concepts, with participants highly rating the tool regarding engagement and learning enhancement. This study demonstrates that immersion in a 3D representation of the skeletal system through VR is essential for a deep knowledge of anatomical learning. These results have important implications for medical educators because IVR technologies can enhance student learning and improve the effectiveness of medical education.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pignot_2558,

title = {Affect and relational agency: How a negative ontology can broaden our understanding of IS research},

author = {Edouard Pignot and Mark Thompson},

url = {https://www.sciencedirect.com/science/article/pii/S1471772723000544},

year  = {2024},

date = {2024-03-01},

journal = {Information And Organization},

volume = {34},

number = {1},

pages = {100500},

abstract = {The sociomaterial lens within IS research holds that agency should not be considered as a property

solely of humans, or of technology, but instead arises from an emergent interaction between

the two. This, emergent, account of agency deepens our understanding of unfolding IS practice,

but its largely cognitive orientation remains naïve towards affectively-sensed motivations that

also form part of this interaction. By implication, a sociomaterial perspective lacking an affective

dimension offers an incomplete conceptualisation of information systems. In response, an

affectively-informed negative ontology encourages IS researchers to extend their focus beyond the

visible, to encompass how actors' receptiveness towards material objects (discourses, technologies)

is shaped by deep, affectively-derived motivations of which they are not focally aware, but

which nonetheless acquire agency in contributing to a sociomaterial outcome. A central argument,

and illustrative empirical vignette, illustrate how the concepts of sociomateriality, affect,

and negative ontology combine to offer researchers an enhanced understanding of relational

agency. A discussion follows, exploring some initial ontological, epistemological and methodological

implications of an affectively-informed negative ontology for IS research.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{aloosh_2899,

title = {Direct Evidence of Bitcoin Wash Trading},

author = {Arash Aloosh and Jiasun Li},

url = {https://pubsonline.informs.org/doi/abs/10.1287/mnsc.2021.01448?af=R},

year  = {2024},

date = {2024-03-01},

journal = {Management Science},

abstract = {We use the internal trading records of a major Bitcoin exchange leaked by hackers to detect

and characterize wash trading ? a type of market manipulation in which a single trader clears

her own limit orders to ?cook? transaction records. Our finding provides direct evidence for

the widely-suspected ?fake volume? allegation against cryptocurrency exchanges, which has

so far only been backed by indirect estimation. We then use our direct evidence to evaluate

various indirect techniques for detecting the presence of wash trades and find measures based on

Benford's law, trade size clustering, lognormal distributions, and structural breaks to be useful,

while ones based on power law tail distributions to give opposite conclusions. We also provide

suggestions to effectively apply various indirect estimation techniques.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{ul_haq_2900,

title = {How and when do perceptions of supervisor evasive knowledge hiding escalate into diminished job performance?},

author = {Inam Ul Haq and Dirk De Clercq and Muhammad Umer Azeem},

url = {https://onlinelibrary.wiley.com/doi/10.1002/cjas.1745},

year  = {2024},

date = {2024-03-01},

journal = {Canadian Journal Of Administrative Sciences-Revue Canadienne Des Sciences De L Administration},

abstract = {Drawing from social exchange theory, this study investigates how and when supervisor evasive knowledge hiding might lead to lower job performance by employees. The hypotheses were tested with three-round survey data, collected among employees and peers in various industries. Employees' perceptions that their supervisor engages in deceptive knowledge hiding undermine their own performance-enhancing efforts because they develop career plateau beliefs; this explanatory role is particularly salient among employees exposed to despotic leadership. This study pinpoints a notable risk for employees who feel upset when they believe a despotic supervisor is intentionally concealing knowledge: They grow disappointed with their career situation, which prompts them to adopt complacent behavioral responses that likely render it even more challenging to access valuable supervisor knowledge.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{tzanidis_2827,

title = {B2B green marketing strategies for European firms: Implications for people, planet and profit},

author = {Theofilos Tzanidis and Domitilla Magni and Veronica Scuotto and Adnane Maalaoui},

url = {https://doi.org/10.1016/j.indmarman.2024.01.018},

year  = {2024},

date = {2024-02-01},

journal = {Industrial Marketing Management},

volume = {117},

pages = {Pages 481-492},

abstract = {The present research addresses the gap in studies on B2B marketing comparing a diverse set of socio-economic factors (ROA and Tobin' s Q) and its effects on people, planet, and profit. Studies in the past have shown that firms haven't been able to gain a long-term competitive advantage by using environmental strategies. Hence, the research analyses how 371 B2B firms from developed and emerging European countries achieve competitive advantage through green marketing strategies. Additionally, those firms are also assessed in reference to their level of engagement with environmental, social, and governance strategies. Our findings highlight that the more the engagement in green marketing by B2B firms, the greater the green competitive advantage that B2B firms in developed European markets can achieve. Hence, the study explores the relationship of B2B marketing, environmental sustainability, and corporate profitability, providing insights into how European firms can balance their financial objectives with their social and environmental responsibilities. The originality of the research stressed the need to pursue social and environmental goals and to preserve the future of people, planet, and profit through green marketing strategies. Investing in future business models and green competitive advantage is especially important for B2B European emerging firms' markets.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zou_2435,

title = {Delivery network design of a locker-drone delivery system},

author = {Bipan Zou and Siqing Wu and Yeming Gong and Zhe Yuan and Yuqian Shi},

url = {https://www.tandfonline.com/doi/abs/10.1080/00207543.2023.2254402},

year  = {2024},

date = {2024-01-01},

journal = {International Journal Of Production Research},

volume = {62},

number = {11},

pages = {4097-4121},

abstract = {Drones are increasingly used for last-mile delivery due to their speed and cost-effectiveness. This study focuses on a novel locker-drone delivery system, where trucks transport parcels from the warehouse to lockers, and drones complete the final delivery. This system is ideal for community and intra-facility logistics. The research optimises the network design by determining the location of lockers, the number of drones at each locker, and the assignment of demands to lockers, minimising operating costs. Both single-parcel and multi-parcel capacity drones are examined. We build an optimisation model for each system, considering drone service capacity as a critical constraint. We design an algorithm combining average sample approximation and a genetic algorithm to address demand uncertainty. The algorithm's efficiency is validated through comparative analysis with Gurobi. Numerical experiments, using real and generated data, optimise the network design. Results show that the multi-capacity drone system requires fewer lockers and drones than the single-capacity system. Although the single-capacity system yields lower drone delivery costs, it incurs higher truck delivery costs. Additionally, a comprehensive cost analysis compares the cost-efficiency of the locker-drone system with a conventional drone delivery system, revealing the cost-saving advantage of the locker-drone system.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rmili_2653,

title = {New empirical test method to assess Reynolds dilatancy of concrete under free-surface flow},

author = {Yosra Rmili and Tien Tung Ngo and El-Hadj Kadri and Ammar Yahia and Masoud Hosseinpoor and Thuy Nguyen},

url = {https://www.sciencedirect.com/science/article/pii/S0950061823044835?via%3Dihub},

year  = {2024},

date = {2024-01-01},

journal = {Construction And Building Materials},

volume = {411},

pages = {134762},

abstract = {In this study, a new test method was proposed to evaluate the shear-induced volumetric changes, namely Reynolds dilatancy (RD), of sixteen conventional vibrated concrete (CVC) mixtures under free-surface flow. The RD measurements were carried out using a rheometer set-up and different vane-blade types rotating at different speeds. According to the experimental results, the RD values were found in good agreement with the workability of the investigated mixtures. Moreover, the RD values were well correlated with the coupled effect of the relative solid packing fraction of coarse aggregate (?/?max) and viscoplastic properties of the investigated CVC mixtures. Furthermore, a strong correlation was established between the rheological properties of the lubrication layer, RD values, and the ?/?max of coarse aggregate.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fitoussi_2701,

title = {Investigation of manufacturing process effects on microstructure and fatigue prediction in composite automotive tailgate design},

author = {Joseph Fitoussi and Samia Nouira and Khaled Benfriha and Mohamed Amine Laribi and Achraf Kallel and Robert Tie Bi and Mohammadali Shirinbayani},

url = {https://trebuchet.public.springernature.app/get_content/0b23264d-b090-4fd4-8009-ed9d9111d672?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=nonoa_20240116&utm_content=10.1007/s00170-024-12988-z},

year  = {2024},

date = {2024-01-01},

journal = {International Journal Of Advanced Manufacturing Technology},

volume = {130},

number = {7},

pages = {4295-4310},

abstract = {Manufacturing processes signifcantly infuence microstructural variations in short fber reinforced composites, which afect

damage characteristics and fatigue life. Accurate fatigue life prediction is critical, especially when considering the impact

of these manufacturing induced microstructural nuances. In this study, we investigate how manufacturing processes shape

microstructures and their impact on fatigue life prediction. We present an advanced micromechanical model for predicting

fatigue life in tangible structures, considering the microstructure distribution infuenced by manufacturing dynamics. Our

model links damage from monotonic loading to fatigue life, resulting in a multi-scale fatigue prediction model. This approach

builds a database revealing the interaction between Tsai-Wu failure criterion parameters, manufacturing-induced microstructural variations, and target fatigue life. Using these insights, we fne-tune material properties in fnite element simulations for

precise design optimization. We illustrate our method using an automotive tailgate made from a sheet molding compound.

This research highlights the critical role of manufacturing processes in microstructure variation and fatigue life prediction.

It ofers the potential for signifcant vehicle weight reduction, energy savings, and reduced emissions in automotive design

and promises to be a valuable tool for optimizing manufacturing process parameters.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{azeem_2762,

title = {Why and When Do Employees Feel Guilty About Observing Supervisor Ostracism? The Critical Roles of Observers' Silence Behavior and Leader-Member Exchange Quality},

author = {Muhammad Umer Azeem and Inam Ul Haq and Dirk De Clercq and Cong Liu},

url = {https://link.springer.com/article/10.1007/s10551-023-05610-x},

year  = {2024},

date = {2024-01-01},

journal = {Journal Of Business Ethics},

abstract = {This study investigates why and when employees' observations of supervisors' ostracism of coworkers elicit their own feelings of guilt. In this connection, observers' silence might function as a mediator, and leader-member exchange quality could moderate the process. The tests of these predictions rely on two studies, undertaken in Pakistan: a temporally separated field study using three-wave data (N = 219) and a scenario-based experiment (N = 118). The combined results indicate that employees feel guilty for remaining silent when they witness supervisor ostracism of other colleagues. The positive relationship between such observations of supervisor ostracism and silence behavior is more pronounced among employees who enjoy high-quality relationships with their supervisor. In addition to establishing key theoretical insights, this article alerts organizations to a critical mechanism (silence to avoid upsetting supervisors) by which employees' observations of how supervisors ostracize others can escalate into their own sense of guilt.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}