Publication

@article{saeed_3498,

title = {CSR decoupling and financial fraud: Unveiling the hidden nexus in US-listed firms},

author = {Asif SAEED and Samreen Hamid and Riadh Manita and Phassawan Suntraruk},

url = {https://www.sciencedirect.com/science/article/pii/S0275531925000479},

year  = {2025},

date = {2025-03-01},

journal = {Research In International Business And Finance},

volume = {75},

pages = {102791},

abstract = {In an era marked by heightened transparency and growing social consciousness, many companies opt for symbolic Corporate Social Responsibility (CSR) communication rather than substantive action, giving rise to skepticism and a phenomenon known as 'CSR decoupling.' Moreover, revelations of financial fraud within ostensibly socially responsible firms exacerbate ethical concerns, raising doubts about their sincerity and regulatory oversight mechanisms. This study delves into US-listed firms to explore the nexus between CSR decoupling and financial fraud. Utilizing propensity score matching (PSM), the sample is meticulously drawn from 15,993 firm-year observations from US-listed firms. The research uncovers that firms engaged in CSR decoupling face elevated risks of financial misconduct. Additionally, deficient governance, subpar audit quality, and concentrated ownership structures amplify the likelihood of financial fraud. Our findings underscore the imperative for stakeholders and regulatory bodies to exercise discernment in scrutinizing CSR performance and disclosures, as managerial self-interests can skew CSR initiatives, misleading stakeholders.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhang_3500,

title = {The Evolution of Complex Global Innovation Collaboration Network: A Multilevel Analysis of a CoPS Industry 2001-2020},

author = {Beibei ZHANG and Ximing Yin and Jie Xiong and Zhe Yuan},

url = {https://ieeexplore.ieee.org/document/10916686/authors},

year  = {2025},

date = {2025-03-01},

journal = {Ieee Transactions On Engineering Management},

volume = {72},

pages = {1039-1051},

abstract = {Global innovation collaboration networks (GICNs) constitute a fundamental component of the innovation ecosystem and significantly contribute to the advancement of complex products and systems (CoPS) in the domain of engineering management. Despite their significance, existing research has not adequately captured the intricate dynamics of GICNs, particularly from an evolutionary perspective. This study seeks to fill this gap by employing a holistic approach to analyze the complexity and evolutionary characteristics of a representative CoPS industry, across macro-network, meso-module, and micro-motif levels. Utilizing global patent data from 2001 to 2020 pertaining to chip manufacturing, our analysis identifies distinct collaborative patterns across the macro, meso, and micro levels within GICNs. At the macro level, there is a discernible shift towards a distributed structure, epitomized by a ?big center, multi-centers, decentralization? trend. The meso level exhibits a progression towards a ?loosely coupled? configuration of technical sub-modules, reflecting a specialized division of labor. Notably, the micro level demonstrates a significant centralization in collaborative innovation, with enterprises playing a pivotal role. This investigation provides an exhaustive empirical examination of GICNs within the CoPS industry and offers novel insights into the evolution of such networks. Furthermore, it furnishes actionable recommendations for policymakers and engineering managers seeking to navigate the complexities of CoPS innovation, thus providing a strategic roadmap for collaboration and innovation management.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dornaika_3466,

title = {Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data},

author = {Fadi Dornaika and Jingjun Bi and Jinan Charafeddine},

url = {http://dx.doi.org/10.1007/s12559-025-10428-y},

year  = {2025},

date = {2025-03-01},

journal = {Cognitive Computation},

volume = {17},

pages = {73},

abstract = {Semi-supervised learning with a graph-based approach has gained prominence in machine learning, particularly in scenarios

where labeling data involves substantial costs. Graph convolution networks (GCNs) have found widespread application in

semi-supervised learning, predominantly on graph-structured data such as citation and social networks. However, a noticeable

gap exists in the application of these methods to non-graph multi-view data, such as collections of images. In an effort to

address this gap, we introduce two innovative deep semi-supervised multi-view classification models specifically tailored for

non-graph data. Both models share a common architecture, leveraging GCNs and integrating a label smoothing constraint.

The primary distinction lies in the construction of the consensus similarity graph. The first model directly reconstructs the

consensus graph from different views using a specialized objective function designed for flexible graph-based semi-supervised

classification. In contrast, the second model independently reconstructs individual graphs and subsequently adaptively merges

them into a unified consensus graph. Our experiments encompass various multiple-view image datasets. The results consis-

tently demonstrate the superior performance of our proposed approach compared to traditional fusion methods with GCNs. In

this research, we present two approaches for tackling semi-supervised classification challenges involving multiple views. One

method is named Semi-supervised Classification with a Unified Graph (SCUG), and the other is referred to as Semi-supervised

Classification with a Fused Graph (SC-Fused). Both methods share a common semi-supervised classification process, utilizing

the GCN framework and incorporating label smoothing. However, the key distinction lies in the construction of the similarity

graph. Unlike traditional ad hoc graph construction approaches, our proposed methods, SCUG and SC-Fused, estimate the

unified graph or individual graphs, respectively, alongside the labels. This results in more optimized graphs that benefit from

data smoothing and the semi-supervised context.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gull_3435,

title = {Navigating the black box: board co-option and environmental innovation},

author = {Ammar Ali Gull and Umer Iqbal and Abdul Ghafoor and Ammad Ahmed},

url = {https://www.emerald.com/insight/content/doi/10.1108/jal-05-2024-0103/full/html},

year  = {2025},

date = {2025-03-01},

journal = {Journal of Accounting Literature},

abstract = {Purpose

This study examines the impact of board co-option on environmental innovation and the moderating effect of firms' industrial context, ESG compensation and environmental policy stringency (EPS) on this relationship. Finally, we examine the implications of the board co-option and eco-innovation nexus on the market value of firms.



Design/methodology/approach

This study employs the system generalized method of moments (GMM) estimator on a longitudinal panel dataset of the US-listed firms to test the proposed hypotheses. The system GMM findings are substantiated using the entropy balancing method and difference-in-differences (DiD) estimations to better establish causality while addressing endogeneity concerns.



Findings

The findings provide evidence that board co-option has a negatively significant relationship with environmental innovation. Further analyses imply that the impact of board co-option on environmental innovation is positively significant among firms operating in environmentally sensitive industries, with ESG compensation for executives, and those operating in environments characterized by high environmental policy stringency. Taken together, these results suggest that industrial context, ESG compensation and environmental policy stringency moderate the impact of board co-option on environmental innovation. The results also reveal that more environmentally innovative firms attain greater market valuation when the board is co-opted.



Originality/value

This study is a novel attempt to contribute to the debate on board composition and its impact on corporate environmental innovation. It complements the existing literature on sustainability governance and accounting by providing an understanding of the impact of board co-option on corporate environmental innovation and highlights the role of regulatory pressure, industrial context and executive compensation structure in shaping this relationship. The findings offer valuable insights for academics, senior management and policymakers.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{singh_3397,

title = {Assessing the impact of digital transformation on green supply chain for achieving carbon neutrality and accelerating circular economy initiatives},

author = {Kuldeep Singh and Ranjan Chaudhuri and Sheshadri Chatterjee},

url = {https://www.sciencedirect.com/science/article/pii/S0360835225000890?via%3Dihub},

year  = {2025},

date = {2025-03-01},

journal = {Computers & Industrial Engineering},

volume = {201},

pages = {110943},

abstract = {The objective of this research is to analyse how digital transformation initiatives influence the effectiveness of green supply chain practices to achieve carbon neutrality as well as to accelerate circular economy practices. The study posits a theoretical model grounded in resource-based, data empowerment, and contingency theory to conduct the study. The main aspect of the research is to analyse the mediating role played by green supply chain integration on the association between digital transformation and green supply chain performance. Furthermore, the study also tried to uncover the moderating impact of absorptive capacity and economic policy uncertainty on above mentioned relationship. The moderating effect could deaccelerate carbon neutrality and could create hindrance towards circular economy. Hence, absorptive capacity is anticipated to influence how organizations assimilate and apply digital advancements, while economic policy uncertainty is expected to shape the overall landscape within which these transformations occur. The study followed a quantitative design and PLS-SEM analysis. The results show the importance of digital transformation in in order to derive environmental sustainability within supply chains. In this study absorptive capacity found as a significant moderator. The results offer valuable insights for businesses in order to to enhance environmental sustainability. Also, these efforts with digital transformation and effective SCM practices can help a firm to achieve carbon neutrality. This distinct approach promotes more sustainable and resilient green supply chain practices that enables businesses to stay agile and accelerate circular economy practices.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{obbadi_3392,

title = {A stable second-order splitting method for incompressible Navier-Stokes equations using the scalar auxiliary variable approach},

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

url = {https://www.sciencedirect.com/science/article/pii/S0045782525000738?dgcid=coauthor},

year  = {2025},

date = {2025-03-01},

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

volume = {437},

pages = {117801},

abstract = {We propose a novel second-order fractional-step method for the numerical solution of incompressible Navier-Stokes equations. This fractional-step method consists of two splitting steps and it employs the second-order implicit backward differentiation formula for the time integration.

Unlike most of the projection methods for solving incompressible Navier-Stokes equations, the proposed method is free from any numerical inconsistencies generated by the treatment

of boundary conditions on the pressure solution. Two pressure-correction strategies including the scalar auxiliary variable approach are proposed to enhance the accuracy of the method.

A rigorous stability analysis is also carried out in this study for the considered strategies.

Numerical results are presented for three benchmark problems to validate the unconditional stability and to demonstrate the performance of the proposed fractional-step method for solving unsteady incompressible viscous flows. The obtained computational results support our

theoretical expectations for an unconditionally stable second-order fractional-step method for the incompressible Navier-Stokes equations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{arya_3279,

title = {Using Augmented Reality to Strengthen Consumer/Brand Relationships: The Case of Luxury Brands},

author = {Vikas ARYA and Deepa SETHI and Linda D. HOLLEBEEK},

url = {https://onlinelibrary.wiley.com/doi/10.1002/cb.2419},

year  = {2025},

date = {2025-03-01},

journal = {Journal Of Consumer Behaviour},

volume = {24},

number = {2},

pages = {545-561},

abstract = {Though augmented reality (AR) is increasingly adopted in marketing, its capacity to foster consumers' engagement and attachment remain tenuous, exposing an important literature-based gap. Addressing this gap, we deploy social presence theory and luxury consumption theory to develop and test a model that proposes that consumers' engagement with AR-deploying luxury brands drives the development of their perceived brand warmth, social value, and brand competence, in turn impacting their brand attachment. To explore these issues, we draw on survey data from a sample of 537 luxury apparel and automotive consumers. The results using structural equation modelling (SEM) show that first, luxury consumers who exhibit high engagement with the AR-deploying brand perceive higher levels of brand warmth, -competence, and social value, in turn raising their attachment to the AR-deploying luxury brand. Overall, the findings highlight AR's strategic capacity to engage consumers and raise the brand's perceived brand warmth, competence, and social value, in turn boosting individuals' attachment to the AR-deploying brand.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhang_3199,

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

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

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

year  = {2025},

date = {2025-03-01},

journal = {Information Fusion},

volume = {115},

pages = {102736},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{latukha_3185,

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

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

url = {https://onlinelibrary.wiley.com/doi/10.1002/tie.22416},

year  = {2025},

date = {2025-03-01},

journal = {Thunderbird International Business Review},

volume = {67},

number = {2},

pages = {149-167},

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 = {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  = {2025},

date = {2025-03-01},

journal = {Multimedia Tools And Applications},

volume = {84},

pages = {9505-9536},

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 = {published},

tppubtype = {article}

}

@article{platania_2970,

title = {A multi-objective pair trading strategy: integrating neural networks and cyclical insights for optimal trading performance},

author = {Federico Platania and Francesco Appio and Celina Toscano Hernandez and Imane El Ouadghiri and Jonathan Peillex},

url = {https://link.springer.com/article/10.1007/s10479-023-05754-z},

year  = {2025},

date = {2025-03-01},

journal = {Annals Of Operations Research},

volume = {346},

pages = {1553-1572},

abstract = {This paper introduces a comprehensive multidimensional pair trading strategy that integrates a multi-objective programming approach, cyclical insights, and neural networks to optimize trading performance. The strategy aims to exploit market inefficiencies by identifying statistical arbitrage opportunities in highly-correlated pairs of stocks. By incorporating multiple objectives, including maximizing returns and minimizing risk, the multi-objective programming framework enables the exploration of a diverse set of Pareto-optimal solutions. The inclusion of cyclical insights enhances the understanding of market dynamics, while the neural network methodology captures complex patterns and accurately predicts trading signals.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tharrault_3598,

title = {Optical Absorption in Indirect Semiconductor to Semimetal PtSe2},

author = {Marin Tharrault and Sabrine AYARI and Mehdi Arfaoui and EVA Desgue and Romaric Le Goff and Pascal Morfin and José Palomo and Michael Rosticher and Sihem Jaziri and Bernard Plaçais and Pierre Legagneux and Francesca Carosella and Christophe Voisin and Robson Ferreira and Emmanuel Baudin},

url = {https://doi.org/10.1103/PhysRevLett.134.066901},

year  = {2025},

date = {2025-02-01},

journal = {Physical Review Letters},

volume = {134},

number = {6},

pages = {066901},

abstract = {PtSe2 is a van der Waals material transitioning from an indirect band gap semiconductor to a semimetal with increasing thickness. Its absorption threshold has been conjectured to originate from interband indirect transitions. By quantitative comparison between broadband (0.8-3.0 eV) optical absorption of high-quality exfoliated crystals and DFT ab initio simulations, we prove instead that the optical absorption arises only from direct transitions. This understanding allows us to shed light on the semiconductor-to-semimetal transition in an emblematic strongly thickness-dependent 2D material, and to explore the effect of stacking and excitons on the optical absorption.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nizar_3432,

title = {Does the Corporate Lifecycle Affect Board Structure? International Evidence},

author = {Hamza Nizar and Ali Uyar and Faten Lakhal and Abdullah Karaman},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/corg.12645},

year  = {2025},

date = {2025-02-01},

journal = {Corporate Governance-An International Review},

abstract = {Research Question/Issue: This paper examines the impact of corporate lifecycle on board structure offering insights into how

firms evolve and adapt their governance practices over time and across different institutional environments.

Research Findings/Insights: Based on a sample of 23,530 firm-year observations from 51 countries over the period 2013-2021,

we find that corporate lifecycle has a positive effect on board gender diversity and board tenure. This positive effect is more pro-

nounced in firms operating in countries with stronger investor protection and in firms facing higher external market discipline.

However, the corporate lifecycle has a negative effect on the proportion of board members with financial or industry expertise.

This negative relationship turns positive when investor protection strengthens, and market pressure intensifies. The results also

show that gender quota adoption positively influences the association between corporate lifecycle and board gender diversity.

Theoretical/Academic Implications: The findings support lifecycle and legitimacy theory perspectives suggesting that or-

ganizations face different challenges and legitimacy pressures at various phases of their lifecycle. To overcome those challenges,

companies are likely to adjust their internal governance structures accordingly. The results also provide support for regulations

on gender quotas in the boardroom.

Practitioner/Policy Implications: Our results suggest that in the early stages, a company considers appointing financial or

industry skilled directors who offer essential knowledge for corporate growth and success. As the company matures, the focus

shifts toward bolstering corporate legitimacy and gaining social acceptance. This transition indicates a shift toward holistic

governance, where the company prioritizes the representation of stakeholders' interests, both in substantive and symbolic ways.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{singh_3406,

title = {Knowledge Management and Organizational Resilience in MSMEs: The Intervening Role of Innovation Orientation},

author = {Kuldeep Singh and Sheshadri Chatterjee and Ranjan Chaudhuri and Demetris Vrontis and Helene Yildiz},

url = {https://onlinelibrary.wiley.com/doi/10.1002/jsc.2640},

year  = {2025},

date = {2025-02-01},

journal = {Strategic Change},

abstract = {The relationship between knowledge management (KM) and organization performance has been thoroughly studied. However,

there is still a research gap to determine other factors that could influence this relationship. One significant component is innovation,

and we need to consider the size and age of the organization to determine how innovation influences organizational resilience

(OR). A few studies discussed innovation and knowledge management; however, they usually focus on large firms. This

study is based on MSMEs in India. In this study, we analyzed how innovation can link between KM and OR. We examined three

components of KM in our research: knowledge generation (KG), knowledge transfer (KT), and knowledge acquisition (KA). We

obtained responses from 336 respondents who took part in this study. We used PLS-SEM

to analyze the data. The findings indicate

that innovation plays an essential role in establishing a relationship between KM and OR. Firm age is found as a significant

moderating factor of this relationship. It implies that, to be robust, older enterprises in MSMEs should prioritize both KM and

innovation. This study can serve as a useful resource for MSMEs that wish to learn more about the role of innovation in utilizing

KM and OR.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{victor_3437,

title = {Surveys on Physical Based Methods for State of Charge, State of Health and Fault Detection on a Li-Ion Battery},

author = {Pierron Victor and Guillaume Guérard},

url = {https://link.springer.com/article/10.1007/s40866-025-00254-4},

year  = {2025},

date = {2025-02-01},

journal = {Smart Grids and Sustainable Energy},

volume = {10},

number = {23},

abstract = {he quest for efficient and reliable energy storage systems has driven significant advancements in the field of physical-based methods for State-of-Charge and State-of-Health assessment of batteries. This paper presents a comprehensive overview of these methods, leveraging fundamental principles of physics and materials science to unveil the intricate dynamics within battery systems. Covering techniques like Coulomb counting, Open Circuit Voltage analysis, Peukert's equation, Electrochemical Impedance Spectroscopy, Gas Chromatography, and cutting-edge imaging approaches such as X-ray Diffraction and Magnetic Resonance Imaging, this review elucidates the principles, instrumentation, and applications of each method. Moreover, it delves into recent breakthroughs that enhance their accuracy and applicability. These physical-based methods not only empower battery management systems but also hold the key to advancing electric vehicles, renewable energy solutions, and a sustainable energy future.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lebon_3330,

title = {Metrics for prosthetic cervical margin integrity assessment after dental CAD/CAM milling: a critical analysis from engineering viewpoint},

author = {Nicolas Lebon and Laurent Tapie},

url = {https://link.springer.com/journal/10266},

year  = {2025},

date = {2025-02-01},

journal = {Odontology},

pages = {1-12},

abstract = {Dental prostheses have significantly evolved due to advances in Computer Aided Design and Manufacturing (CAD/CAM) technology. CAD/CAM systems provide a variety of biomaterials like ceramics, Polymer-Infiltrated Ceramic Network (PICN), and composites, which are preferred for their mechanical and aesthetic properties. However, ceramics, despite their popularity, are brittle and prone to chipping during the machining process, impacting the prosthesis's clinical functions, aesthetics, biological integrity, and mechanical performance.

Chipping, especially at thin cervical margin, can cause visible defects, poor sealing, and bacterial growth, reducing prosthesis lifespan. Milling factors influence cervical margin integrity.

Chipping assessment involves understanding biomaterial mechanical and machinability characteristics regarding dimensional characterization of milled prosthesis shape. Thus, different type of metrics, based on biomaterial properties or dimensional measurement can be used to assess chipping phenomenon for milled dental ceramics. These metrics are both, based on experimental studies found in literature, and proposed by this paper authors to fill the existing lacks.

The brittleness index, based on the ratio between hardness and fracture toughness, predicts susceptibility to chipping after milling. Unidirectional dimensional metrics like the Chipping Factor and weighted Chipping Factor characterize the chipping ratio of the cervical margin. Advanced 2D and 3D metrics, including chip projected area, total weighted chip projected area, and Surface Aspect Ratio, offer more detailed assessments. 3D analysis involves comparing scanned files with CAD models to compute chipped volumes. The aim of this paper is to propose a critical analysis from an engineering viewpoint on metrics used to assess cervical margin integrity for milled dental prosthesis.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{schittecatte_3413,

title = {Dynamic mechanical analysis (DMA) of photopolymers: A new protocol for 3D-printed materials},

author = {Laura Schittecatte and Daniel Bonamy and Patrick Guenoun and Antoine Liénard and Thuy Nguyen and Valérie Geertsen},

url = {http://dx.doi.org/10.1557/s43579-025-00694-0},

year  = {2025},

date = {2025-02-01},

journal = {Mrs Communications},

abstract = {This work provides a complete methodology to measure the storage modulus of vat 3D?printed polymers via Dynamic Mechanical Analysis (DMA) which could enable real intercomparison of printing materials mechanical performance. We propose an 8?step methodology that includes the determination

of the linear viscoelastic region (LVER) and the glass transition temperature (T?), as well as a stress relief annealing post?treatment that is proven to

significantly reduce the dispersion of 3D?printed samples. The methodology applied to various 3D?printed resin samples, achieving repeatability and reproducibility values comparable to those of a reference molded PMMA},

note = {of the linear viscoelastic region (LVER) and the glass transition temperature (T?), as well as a stress relief annealing post?treatment that is proven to

significantly reduce the dispersion of 3D?printed samples. The methodology applied to various 3D?printed resin samples, achieving repeatability and reproducibility values comparable to those of a reference molded PMMA},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{nguyen_3413,

title = {Dynamic mechanical analysis (DMA) of photopolymers: A new protocol for 3D-printed materials},

author = {Thuy Nguyen},

url = {http://dx.doi.org/10.1557/s43579-025-00694-0},

year  = {2025},

date = {2025-02-01},

journal = {Mrs Communications},

note = {This work provides a complete methodology to measure the storage modulus of vat 3D?printed polymers via Dynamic Mechanical Analysis (DMA) which could enable real intercomparison of printing materials mechanical performance. We propose an 8?step methodology that includes the determination

of the linear viscoelastic region (LVER) and the glass transition temperature (T?), as well as a stress relief annealing post?treatment that is proven to

significantly reduce the dispersion of 3D?printed samples. The methodology applied to various 3D?printed resin samples, achieving repeatability and reproducibility values comparable to those of a reference molded PMMA},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{korger_3326,

title = {Modulational instability of geodesic-acoustic-mode packets},

author = {David Korger and Emanuele Poli and Alessandro Biancalani and Alberto Bottino and Omar Maj and Juvert Njeck Sama},

url = {https://doi.org/10.1017/S0022377824001284},

year  = {2025},

date = {2025-02-01},

journal = {Plasma Physics And Controlled Fusion},

volume = {91},

number = {1},

pages = {E17},

abstract = {Isolated, undamped geodesic-acoustic-mode (GAM) packets have been demonstrated to

obey a (focusing) nonlinear Schrödinger equation (NLSE) (E. Poli, Phys. Plasmas, 2021).

This equation predicts susceptibility of GAM packets to the modulational instability (MI).

The necessary conditions for this instability are analysed analytically and numerically

using the NLSE model. The predictions of the NLSE are compared with gyrokinetic

simulations performed with the global particle-in-cell code ORB5, where GAM packets

are created from initial perturbations of the axisymmetric radial electric field E r . An

instability of the GAM packets with respect to modulations is observed both in cases in

which an initial perturbation is imposed and when the instability develops spontaneously.

However, significant differences in the dynamics of the small scales are discerned between

the NLSE and gyrokinetic simulations. These discrepancies are mainly due to the radial

dependence of the strength of the nonlinear term, which we do not retain in the solution

of the NLSE, and to the damping of higher radial spectral components k r . The damping

of the high- k r components, which develop as a consequence of the nonlinearity, can be

understood in terms of Landau damping. The influence of the ion Larmor radius ? i as well

as the perturbation wavevector k pert on this effect is studied. For the parameters considered

here the aforementioned damping mechanism hinders the MI process significantly from

developing to its full extent and is strong enough to stabilize some of the (according to the

undamped NLSE model) unstable wavevectors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{benkraiem_3324,

title = {Balancing ecology and finance: The impact of carbon performance on dividend payout policy},

author = {Ramzi Benkraiem and Olfa Berrich and Nadia Lakhal and Hamza Nizar and Faten Lakhal},

url = {https://www.sciencedirect.com/science/article/pii/S0275531924005038},

year  = {2025},

date = {2025-02-01},

journal = {Research In International Business And Finance},

volume = {74},

pages = {102710},

abstract = {This paper investigates the effect of corporate carbon performance on the dividend payout policy.

Based on an international sample from 2010 to 2022, the results show that firms that emit less

carbon pay more dividends to their shareholders suggesting that managers are likely to balance

all stakeholders' needs. However, companies distribute less dividends following the Paris

Agreement in 2015. This result suggests that the increased pressure on companies to engage in

sustainability initiatives can reduce the amount of profit available for dividends. Furthermore, the

positive effect of carbon performance on dividend payout policy is accentuated for companies

with strong profitability and high corporate governance quality. Nevertheless, this positive effect

is less prevalent in companies under highly competitive pressure.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kumar_3311,

title = {Innovation capability and R&D performance of organizations: moderating role of industry-academic knowledge transfer},

author = {Vinod Kumar and Sachim KUMAR and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Saeedeh Rezaee Vessal},

url = {https://www.emerald.com/insight/content/doi/10.1108/jkm-02-2024-0175/full/html},

year  = {2025},

date = {2025-02-01},

journal = {Journal Of Knowledge Management},

volume = {29},

number = {3},

pages = {891-914},

abstract = {Purpose



This study aims to examine how an organization's innovation capability could influence research and development (R&D) performance. It also investigates if industry-academic knowledge transfer has a moderating relationship between organizational innovation capability and exploration and exploitative innovation in improving the R&D performance of the organizations.

Design/methodology/approach



Based on the literature and dynamic capability view, a conceptual model was developed and then validated using the partial least squares-structural equation modeling technique considering 387 responses from academicians and industry personnel.

Findings



The study found that industry-academic knowledge transfer has a significant moderating impact toward improving innovation capability, organizations' R&D performance and exploration innovation. However, it has an insignificant moderating impact on improving innovation capability and exploitative innovation.

Practical implications



Organizational innovation capability is characterized by both exploratory and exploitative innovation. Both types of innovation support the R&D performance of an organization. Also, organizations that closely work with academic institutions could gain significant R&D knowledge from academic expertise. This study provides food for thought for the academic community as well as industry policymakers.

Originality/value



There are significant opportunities for academic institutions to gain practical knowledge from industry which can help them to accelerate their R&D activities. However, transferring knowledge between industry and academia has challenges related to intellectual property, patents and so on. Not much research has been conducted in this area. Thus, the proposed research model is unique and adds to the existing literature.

Keywords},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{khachai_3298,

title = {Discrete cutting path problems: a general solution framework and industrial applications},

author = {Daniil KHACHAI and Olga Battaia and Alexander Petunin and Michael Khachay},

url = {https://www.tandfonline.com/doi/full/10.1080/00207543.2024.2365360},

year  = {2025},

date = {2025-02-01},

journal = {International Journal Of Production Research},

volume = {63},

number = {3},

pages = {949-969},

abstract = {The optimal tool routing for cutting machines, also known as cutting path optimisation is an important problem in production research. This problem is relevant in various manufacturing environments such as aeronautic, automotive, garment and semiconductor industries. In this paper, we introduce a general solution framework for the discrete Cutting Path Problem which includes: (i) the universal approach to reduce numerous settings of this problem to the appropriate auxiliary instances of the well-known Precedence Constrained Generalized Traveling Salesman Problem; (ii) the proposition of efficient solution methods for finding (sub-) optimal solutions. We carry out extensive computational experiments in order to evaluate performance of the proposed framework and the obtained results demonstrate its efficiency for real-life industrial instances.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kumar_3251,

title = {From insight to impact: Unravelling the dynamics of big data-backed growth hacking},

author = {Vinod Kumar and Sachin Kumar and Ranjan Chaudhuri and Sheshadri Chatterjee and Alkis Thrassou and Georgia Sakka},

url = {https://www.sciencedirect.com/science/article/pii/S0148296324005873?via%3Dihub},

year  = {2025},

date = {2025-02-01},

journal = {Journal Of Business Research},

volume = {188},

pages = {115083},

abstract = {The rise of growth hacking, fuelled by big data analytics, poses a challenge for scholars and executives alike, with

limited research at their intersection. This article aims to fill the knowledge gap by focusing on the integration of

big data analytics and growth hacking. Extant theory suggests that incorporating big data cultivates marketing

ambidexterity, especially when moderated by environmental dynamism. The synergistic interplay between big

data analytics and marketing ambidexterity is postulated to enhance firm marketing capabilities, manifesting

itself as growth hacking. The present study develops a corresponding scale on growth hacking and empirically

validates the proposed theoretical framework. Data have been collected from businesses that have used growth

hacking tactics, regardless of their timeframe or resource investment, in two phases and adhering to requisite

sampling size and techniques. The relationships between all variables were found to be significant except the

impact of firm marketing capabilities on customer regain and maintenance. Environmental dynamism was found

to moderate significantly big data analytics and marketing ambidexterity. This study enriches the growth

hacking literature by shedding light on the intricate relationship between big data analytics and strategic

business growth. The findings are also significant to industry, as they arm executives with new and practicable

knowledge towards harnessing growth hacking strategies and securing a competitive edge.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}