Publication

@article{thatte_4055,

title = {The PAH 3.4 micron feature as a tracer of shielding in the Orion Bar and NGC 6240},

author = {Niranjan Thatte and Dimitra Rigopoulou and Fergus R Donnan and Ismael Garcia-Bernete and Miguel Pereira-Santaella and Bruce Draine and Oscar Veenema and Bouthéïna Kerkeni and Almudena Alonso-Herrero and Hermosa Muñoz Laura and Gabriela Speranza},

url = {https://doi.org/10.1093/mnras/staf2047},

year  = {2026},

date = {2026-11-01},

journal = {Monthly Notices Of The Royal Astronomical Society},

volume = {545},

number = {1},

pages = {1-10},

abstract = {We have carried out a detailed analysis of the 3.4 ?m spectral feature arising from Polycyclic Aromatic Hydrocarbons (PAH),

using James Webb Space Telescope archival data. For the first time in an external galaxy (NGC 6240), we have identified two

distinct spectral components of the PAH 3.4 ?m feature: a shorter wavelength component at 3.395 ?m, which we attribute to

short aliphatic chains tightly attached to the aromatic rings of the PAH molecules; and a longer wavelength feature at 3.405 ?m

that arises from longer, more fragile, aliphatic chains that are weakly attached to the parent PAH molecule. These longer chains

are more easily destroyed by far-ultraviolet photons (>5 eV) and PAH thermal emission only occurs where PAH molecules

are shielded from more energetic photons by dense molecular gas. We see a very strong correlation in the morphology of the

PAH 3.395 ?m feature with the PAH 3.3 ?m emission, the latter arising from robust aromatic PAH molecules. We also see an

equally strong correlation between the PAH 3.405 ?m morphology and the warm molecular gas, as traced by H2 vibrational

lines. We show that the flux ratio PAH 3.395/PAH 3.405 < 0.3 corresponds strongly to regions where the PAH molecules are

shielded by dense molecular gas, so that only modestly energetic UV photons penetrate to excite the PAHs. Our work shows that

PAH 3.405 ?m and PAH 3.395 ?m emission features can provide robust diagnostics of the physical conditions of the interstellar

medium in external galaxies, and can be used to quantify the energies of the photon field penetrating molecular clouds.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{latukha_3902,

title = {The double bind: Human resource management under sanctions and skilled labor exodus},

author = {Marina Latukha and Desislava Dikova and Andrei Panibratov and Nikita Kuleshov},

url = {https://www.sciencedirect.com/science/article/pii/S0969593125001337?via%3Dihub},

year  = {2026},

date = {2026-02-01},

journal = {International Business Review},

volume = {35},

number = {1},

pages = {102520},

abstract = {This paper examines how human capital (HC) outflows, triggered by economic sanctions imposed on Russia, constitute a profound environmental disruption with long-term consequences for firms. Drawing on HC theory and based on case studies of three companies in the Russian IT sector, the study analyzes how large-scale talent relocation, referred to as brain-drain, undermines firms' strategic investments in HC development. We find that in the face of sustained uncertainty, human resource (HR) managers adopt reactive approaches, leading to the widespread abandonment of professional development initiatives. We argue that this shift risks eroding orga- nizational capabilities and placing firms at a long-term competitive disadvantage. By moving beyond macro- economic discussions of sanctions and focusing on firm-level human resource management (HRM) responses, this study offers new theoretical insights into how geopolitical shocks reshape HRM practices and disrupt the un- derlying logic of HC investment in high-skill industries.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jaffal-moutarda_3868,

title = {On the well-posedness of the Second-grade compressible fluid model},

author = {Basma Jaffal-Moutarda and Raafat Talhouk},

url = {http://dx.doi.org/10.1016/j.jmaa.2025.130030},

year  = {2026},

date = {2026-02-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {554},

number = {2},

pages = {130030},

abstract = {In this paper, we investigate the well-posedness of Grade-two compressible fluid model in the non-steady case. To our knowledge, the existing literature provides only one result that addresses the existence of solutions for the compressible case, which is limited to steady-state flows.

We establish the local existence and uniqueness of solutions in the Sobolev space $H^m$, for $m  geq 3$ . We notice that in the incompressible case, the best known existence result requires $m  geq 5$, unless specific thermodynamic conditions are satisfied (their effect is to reduce the high nonlinearity of the model), in which case $m geq 3$ suffices.

Finally, we analyze the linearized system around the constant state and establish the global well-posedness of the solution, as well as its exponential decay in time toward the steady state. In addition, we prove the persistence of regularity for the solution.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mali_3855,

title = {DaMoOp: A global approach for optimizing denormalized schemas through a multidimensional cost model},

author = {Jihane Mali and Ahvar Shohreh and Faten Atigui and Ahmed Azough and Nicolas Travers},

url = {https://doi.org/10.1016/j.is.2025.102598},

year  = {2026},

date = {2026-02-01},

journal = {Information Systems},

volume = {136},

pages = {102598},

abstract = {The complexity of database systems has increased alongside the exponential growth of data, necessitating Information Systems (IS) architects to continuously refine data models and meticulously select storage and management options that align with requirements. While existing solutions focus on data model transformation, none offer guidance in selecting the most suitable data model for a given use case. In this context, we propose DaMoOp, an automated approach for leading data model selection process. DaMoOp starts from a conceptual model and associated use case comprising queries, settings and infrastructure constraints, to generate relevant logical data models. A cost model, considering environmental, financial, and temporal factors, facilitates comparison and selection of the most suitable data model. Our cost model incorporates both data model and queries costs. Additionally, we suggest a data model selection process that enhances the ability to choose the optimal data model(s) for a specific use case, while also adapting to rapidly evolving use cases. We provide a strategic optimization approach designed to identify the most cost-efficient and stable data model as use case scenarios evolve. Moreover, we offer a simulation tool for the entire process, which enables visualizing the impact of use case variations on data model costs, thus empowering IS architects to make informed decisions.},

note = {The complexity of database systems has increased alongside the exponential growth of data, necessitating

Information Systems (IS) architects to continuously refine data models and meticulously select storage and

management options that align with requirements. While existing solutions focus on data model transformation,

none offer guidance in selecting the most suitable data model for a given use case. In this context, we propose

DaMoOp, an automated approach for leading data model selection process. DaMoOp starts from a conceptual

model and associated use case comprising queries, settings and infrastructure constraints, to generate relevant

logical data models. A cost model, considering environmental, financial, and temporal factors, facilitates

comparison and selection of the most suitable data model. Our cost model incorporates both data model and

queries costs. Additionally, we suggest a data model selection process that enhances the ability to choose the

optimal data model(s) for a specific use case, while also adapting to rapidly evolving use cases. We provide a

strategic optimization approach designed to identify the most cost-efficient and stable data model as use case

scenarios evolve. Moreover, we offer a simulation tool for the entire process, which enables visualizing the

impact of use case variations on data model costs, thus empowering IS architects to make informed decisions},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{takhirov_3854,

title = {Pressure Poisson splitting scheme for Navier-Stokes Equations with open boundaries},

author = {Aziz Takhirov and Driss Yakoubi},

url = {https://www.sciencedirect.com/science/article/pii/S0378475425003489?via%3Dihub},

year  = {2026},

date = {2026-02-01},

journal = {Mathematics And Computers In Simulation},

volume = {240},

pages = {968-981},

abstract = {This paper presents a novel time-stepping algorithm for solving incompressible flows in domains with open boundaries. The scheme is based on the pressure Poisson reformulation of the system. A new boundary condition is proposed for the pressure variable on the open boundary. Unconditional stability is shown for a stabilized scheme. Numerical tests indicate excellent stability and accuracy of the proposed algorithm.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{takhirov_3921,

title = {Upwind iterative decoupling scheme for steady two-dimensional Grade-Two Fluid Equations},

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

url = {https://doi.org/10.1016/j.cnsns.2025.109412},

year  = {2026},

date = {2026-01-01},

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

volume = {152},

number = {Part E},

pages = {109412},

abstract = {This paper presents an efficient splitting scheme for solving steady second-grade flow equations in two-dimensional space. The proposed algorithm decouples the system into a separate equation for each flow variable. Uniform boundedness and convergence results are established under a reasonable set of assumptions. Numerical tests are presented to demonstrate the method's efficiency and accuracy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_3793,

title = {A general framework and an individual dominance realization model for efficient fixed cost allocation based on DEA},

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

url = {https://www.sciencedirect.com/science/article/abs/pii/S0305048325001082?via%3Dihub},

year  = {2026},

date = {2026-01-01},

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

volume = {138},

pages = {103382},

abstract = {Data Envelopment Analysis (DEA) has become a powerful tool for addressing fixed cost allocation (FCA) problems. Among the numerous DEA-based FCA studies, a significant category seeks to make all Decision-making Units (DMUs) efficient under a set of common weights after cost allocation, falling under the common-weights FCA framework. However, the classical DEA efficiency evaluation mechanism does not require all DMUs to be evaluated based on a set of common weights. Instead, a DMU is considered efficient if it can choose its favorable weights to achieve an efficiency score of one while ensuring that the efficiencies of other DMUs do not exceed one. Motivated by this, we develop a novel and general efficient FCA framework that allocates the total fixed cost by allowing each DMU to select its preferred weights to be efficient. We prove that the FCA possible set under the traditional common-weights framework is a subset of that under this new framework. Then, an Assurance Region (AR) constraint on fixed costs is introduced to avoid extreme allocation schemes. Moreover, an individual dominance realization strategy and a FCA model based on it are proposed within this framework, aimed at minimizing each DMU's cross-efficiencies from the perspective of all other DMUs while ensuring its self-assessed efficiency remains at one. Additionally, an algorithm is introduced to guarantee the uniqueness of the FCA scheme. A numerical example and a case study from the Shanghai Automotive Industry Corporation are used to validate the effectiveness of this approach and compare it with other classic methods.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{khan_4052,

title = {Pathways to ethical consumption: the effects of altruism, self-identity, and ascribed responsibility},

author = {Hafiza Ayesha khan and Ali RAZA and Sana Ishaq and Umer Umair and Muhammad Ishtiaq ISHAQ},

url = {https://doi.org/10.1108/EBR-06-2025-0220},

year  = {2025},

date = {2025-12-01},

journal = {European Business Review},

volume = {Vol. ahead-of-print},

number = {No. ahead-},

abstract = {Purpose



Scholars have emphasized making consumers ecologically conscious in their consumption decisions. Likewise, it is vital to investigate the precursors that guide or serve as a road map for consumers to make wise choices. This study aims to examine the intricate interplay of motives (altruism, value consciousness and self-identity) that influence ethical consumption in Pakistan's hospitality industry. This study also assessed attitudes, ascribed responsibility as a mediator and environmental protection emotions as a boundary condition.

Design/methodology/approach



The data were collected from 522 individuals, and meticulous analysis was performed using structural equation modeling.

Findings



This study found that individuals with altruistic values and a high sense of self-identity are likelier to develop an attitude and take responsibility for ethical consumption. Moreover, the tendency of environmental protection moderates these relations.

Originality/value



This research employs the Value-Belief-Norm theory, offering novel insights for intellectuals to comprehend ethical consumption by exploring the psychological drivers that influence individuals to consume ethically, thereby enriching the literature.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{christofi_4035,

title = {Digital strategy design and digital transformation: a review and future research directions},

author = {Michael Christofi and Grigorios Lamprinakos and Duc Khuong Nguyen and Phuong Tra Tran},

url = {https://doi.org/10.1108/IMR-10-2025-0538},

year  = {2025},

date = {2025-12-01},

journal = {International Marketing Review},

volume = {42},

number = {6},

pages = {1065-1086},

abstract = {Purpose - This paper aims to examine the current landscape of research at the intersection of digital strategy design, digital transformation, and international marketing.



Design/methodology/approach - This paper applies a critical review of the literature.



Findings - In so doing, it thematically classifies existing literature into the four macro themes and twelve micro themes that converge on a coherent account, shaping an organizing framework that captures the impact of digital

transformation in international marketing.



Originality/value - Lastly, the paper offers several future research directions to move the field forward, as well as insights and practical tools to support marketing scholars and executives of multinational enterprises, emerging market multinationals, and global brands in understanding the role and interconnection of digital transformation within the context of international marketing.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{maroun_3948,

title = {Integrating ConvNeXt and vision transformers for enhancing facial age estimation},

author = {Ghaby Maroun and Salah Eddine Bekhouche and Jinan Charafeddine and Fadi Dornaika},

url = {http://dx.doi.org/10.1016/j.cviu.2025.104542},

year  = {2025},

date = {2025-12-01},

journal = {Computer Vision And Image Understanding},

volume = {262},

pages = {104542},

abstract = {Age estimation from facial images is a complex and multifaceted challenge in computer vision. In this study, we present a novel hybrid architecture that combines ConvNeXt, a state-of-the-art advancement of convolutional neural networks

(CNNs), with Vision Transformers (ViT). While each model independently delivers excellent performance on a variety of tasks, their integration leverages the complementary strengths of the CNNs' localized feature extraction capabilities and the Transformers' global attention mechanisms. Our proposed ConvNeXt-ViT hybrid solution was thoroughly evaluated on benchmark age estimation datasets, including MORPH II, CACD, and AFAD, and achieved superior performance in terms of mean absolute error (MAE). To address computational constraints, we leverage pre-trained models and systematically explore different configurations, using linear layers and advanced regularization techniques to optimize the architecture. Comprehensive ablation studies highlight the critical role of individual components and training strategies, and in particular emphasize the importance of adapted attention mechanisms within the CNN framework to improve the model's

focus on age-relevant facial features. The results show that the ConvNeXt-ViT hybrid not only outperforms traditional methods, but also provides a robust foundation for future advances in age estimation and related visual tasks. This work underscores the transformative potential of hybrid architectures and represents a promising direction for the seamless integration of CNNs and transformers to address complex computer vision challenges.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_3898,

title = {An efficient second-order scalar auxiliary variable approach for unsteady non-Newtonian incompressible fluids},

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

url = {https://www.sciencedirect.com/science/article/pii/S0010465525003674?via%3Dihub},

year  = {2025},

date = {2025-12-01},

journal = {Computer Physics Communications},

volume = {317},

pages = {109865},

abstract = {A novel second-order time-splitting method is proposed for the numerical solution of non-Newtonian fluid flows governed by the incompressible Navier-Stokes equations with a shear-rate dependent viscosity. In many applications, this class of fluid flows is challenging to numerically solve using the conventional monolithic methods. The proposed approach belongs to a family of viscosity-splitting methods and it separates the convection term from the incompressibility

constraint into two steps using the second-order implicit backward differentiation formula for the time integration. To ensure the stability of this method, we introduce a numerical scheme based on the scalar auxiliary

variable approach an efficient pressure incrementation is introduced using the scalar auxiliary variable approach. Unlike most projection methods for solving incompressible Navier-Stokes equations, the proposed method is free of any numerical inconsistencies generated by the treatment of boundary conditions in the pressure solution. A rigorous stability analysis is also carried out in this study and the proposed method is demonstrated to be consistent and stable with no restrictions on the time step. Numerical results are presented for three flow problems to validate the second-order convergence rates and to illustrate the performance of the proposed time-splitting scheme for unsteady

non-Newtonian incompressible fluids.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{antonin_3851,

title = {Researchers of a Feather Flock Together: Endogamy Recruitment Tracks for Industrial Researchers},

author = {Céline Antonin and Pierre COURTIOUX},

url = {https://doi.org/10.1111/labr.70003},

year  = {2025},

date = {2025-12-01},

journal = {Labour: Review of Labour Economics and Industrial Relations},

volume = {39},

number = {4},

pages = {292-324},

abstract = {Based on French company data, we assess the hiring of different education profiles of industrial researchers in corporate R&D departments. First, our results show engineers are more likely to be recruited in corporate R&D that develops a patent-oriented strategy; PhD-holders are more likely to be recruited in firms that compete at the technological frontier and in companies that maintain close links with academia and public research. Second, new results reveal the endogamy of industrial researchers' recruitment based on the specifics of their scientific human capital and highlight the mitigating role of hybrid scientific human capital.},

note = {Revue ABS 1 2018, 2021 et 2024},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xiao_3803,

title = {Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning},

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

url = {https://doi.org/10.1016/j.inffus.2025.103420},

year  = {2025},

date = {2025-12-01},

journal = {Information Fusion},

volume = {124},

pages = {103420},

abstract = {Multi-view learning utilizes data from diverse perspectives or modalities, integrating complementary infor

mation from various sources. It plays a crucial role in intelligent systems and finds extensive applications in 

fields such as computer vision, recommender systems, and natural language processing. With the increasing 

complexity and heterogeneity of real-world data, the integration of Graph Convolutional Networks (GCNs) in 

multi-view learning scenarios is becoming increasingly important. Despite the advances in GCNs, it remains a 

major challenge to effectively generalize models and improve their stability across different data views. In this 

paper, we present a novel framework, the Enhanced Triplet Loss Based Semi-Supervised Graph Convolutional 

Network for Multi-View Learning (MV-TriGCN), which addresses these challenges through three primary 

innovations. First, we propose an enhanced triplet loss for deep metric learning tailored to the hidden features 

of GCNs based on semi-hard negative sample selection. Second, view graphs are constructed using the classical 

KNN scheme and a semi-supervised flexible method to improve the diversity of data structure representation 

resulting in a more stable hypothesis space. Moreover, we learn an end-to-end multi-view GCN by merging all 

available graphs and utilizing the aggregated cross-entropy losses and deep metric losses. Finally, we introduce 

a stepwise training strategy that allows the model to adapt to the losses during different optimization phases. 

Extensive experiments show that our method outperforms existing state-of-the-art approaches in terms of  accuracy and stability},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_3637,

title = {Aging Consumer Engagement with the Mobile Food Planner Apps in Malaysia: Investigating Gender Differences},

author = {Rajat Subhra Chatterjee and Irfan Hameed and Sheshadri Chatterjee and Ranjan Chaudhuri and Demetris Vrontis and Pantea Foroudi},

url = {https://doi.org/10.1177/02761467251325},

year  = {2025},

date = {2025-12-01},

journal = {Journal Of Macromarketing},

volume = {45},

number = {4},

pages = {723-746},

abstract = {This study investigates the factors influencing older consumers' word of mouth and intention to use meal planner applications,

given that 57% of Malaysians aged 60 and above are active Internet users. The current study utilized an extended technology

acceptance model and the stimulus organism response framework to examine the cognitive-affective dichotomy of usage influence. The respondents were initially selected through purposive sampling and further screened using filter questions to ensure

alignment with the study objectives, resulting in data collected from 392 elderly individuals across various demographic regions of

Malaysia. The analysis was conducted using the Statistical Package for Social Sciences (SPSS) and SmartPLS. The results indicated

that cognitive factors (subjective norm, facilitating conditions, and app characteristics) positively impacted the affective components (perceived usefulness and perceived ease of use), which, in turn, enhanced consumers' attitudes toward using these applications. Furthermore, openness to change and gender were observed to moderate the relationship between affective and

conative responses (word of mouth and behavioral intention). The study provides new insights into the aging population on

food-related mobile applications to governments, food service-based organizations, restaurants, and app designers. Thus,

focus can be on improving app characteristics and facilitating conditions to enhance perceived usefulness and ease of use

while also considering how gender and openness to change may influence consumers' attitudes and behaviors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vazquez-ferrel_3163,

title = {Political survival and legislative reselection in Mexico's chamber of deputies},

author = {Carlos Vazquez-Ferrel and Erik Ernesto Vazquez Hernandez},

url = {https://doi.org/10.1080/13572334.2024.2372953},

year  = {2025},

date = {2025-12-01},

journal = {The Journal of Legislative Studies},

volume = {31},

number = {4},

pages = {1009-1038},

abstract = {This article presents an empirical investigation into the factors influencing the renomination of legislators by party leaders for their continued presence in Congress. We argue that legislators who have previously held influential positions within Congress, such as Committee President, have a successful track record of (co)sponsoring bills, and have built distinguished political careers, are more likely to be renominated in Congress. To test this theory, we employ an original dataset sourced from the Mexican 2018-2021 Chamber of Deputies, which comprises the inaugural group of Congress members allowed to seek reelection after a 90-year prohibition within the context of a transforming party system marked by the diminishing electoral attractiveness of traditional parties. Our findings carry significant implications for comprehending how party leaders recognise and reward legislators who effectively safeguard the party's interests and uphold its reputation inside the halls of Congress.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{waheed_3109,

title = {Satisfaction as a function of user justice: a social exchange theory perspective},

author = {Mehwish Waheed and Noor Ul-Ain and Jan Riezebos and Patrick Mikalef},

url = {https://www.tandfonline.com/doi/full/10.1080/09537325.2024.2369934},

year  = {2025},

date = {2025-12-01},

journal = {Technology Analysis & Strategic Management},

volume = {37},

number = {2},

pages = {2755-2770},

abstract = {This study investigates complaint behaviour as a function of post-satisfaction behaviour stemming from perceptions of justice and security. Grounded in social exchange theory, we propose an integrated framework in which

security, expectation confirmation, and dimensions of justice (distributive, procedural, and interactional) influence satisfaction, affecting complaint behaviour towards the eCommerce Digital Supply Chain (DSC) process.

Data were collected through a quantitative online survey involving 316 Amazon eShoppers of tech products from the European region. The confirmatory factor analysis results validated the second-order reflective justice construct, encompassing distributive, procedural, and interactional

dimensions. Furthermore, the structural relationship results revealed (i) justice and security have a significant impact on eShoppers' satisfaction; (ii) a significant relationship exists between word of mouth, satisfaction, and eShoppers' complaint intention. This framework contributes to the existing knowledge base and offers valuable insights for stakeholders in the eCommerce DSC.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zighan_4038,

title = {Managing Social Sustainability Paradoxes in the Digitalized Supply Chains for Circular Economy},

author = {Saad ZIGHAN and Salomée Ruel},

url = {https://doi.org/10.1016/j.pursup.2025.101090},

year  = {2025},

date = {2025-11-01},

journal = {Journal Of Purchasing And Supply Management},

pages = {101090},

abstract = {This study explores how social sustainability is enabled and constrained within Circular Digitalized Supply Chains (CDSCs), mobilizing paradox theory as a theoretical lens. Through a qualitative analysis of interviews with 22 supply chain (SC), operations, logistics, and procurement managers, the research identifies key paradoxes that emerge when pursuing social goals alongside circular and digital transformations. The study finds that pursuing CDSCs' goals alongside social sustainability objectives creates paradoxical tensions, such as conflicts between efficiency and fair labor practices, data privacy concerns, and the potential for power concentration within digital platforms. These tensions highlight the complexities of balancing competing objectives within CDSC operations. Moreover, the different managerial perspectives, such as SC, operational, logistics, and procurement, may prioritize different aspects of sustainability, leading to potential tensions. These tensions were categorized into four paradoxes: the paradox of progress, the paradox of efficiency, the paradox of control, and the paradox of governance. To manage these paradoxes, the findings highlight the importance of dynamic management, stakeholder engagement, transparency, innovation, and continuous learning. This should also be supported by holistic integration, which involves a unified, comprehensive approach to managing paradoxes in CDSCs, transitioning from separate functional strategies to a cohesive solution. This study contributes to understanding the complexities of social sustainability in CDSCs. It offers insights for practitioners and policymakers seeking to promote more responsible and sustainable SC practices.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{thomassin_3996,

title = {A quantum model for constrained Markowitz modern portfolio using slack variables to process mixed-binary optimization under QAOA},

author = {Pablo Thomassin and Guillaume Guérard and Sonia Djebali and Vincent Marc Lambert},

url = {https://doi.org/10.1007/s42484-025-00330-z},

year  = {2025},

date = {2025-11-01},

journal = {QUANTUM MACHINE INTELLIGENCE},

volume = {7},

number = {2},

abstract = {Effectively encoding inequality constraints is a primary obstacle in applying quantum algorithms to financial optimization. A quantum model for Markowitz portfolio optimization is presented that resolves this by embedding slack variables directly into the problem Hamiltonian. The method maps each slack variable to a dedicated ancilla qubit, transforming the problem into a Quadratic Unconstrained Binary Optimization (QUBO) formulation suitable for the Quantum Approximate Optimization Algorithm (QAOA). This process internalizes the constraints within the quantum state, altering the problem's energy landscape to facilitate optimization. The model is empirically validated through simulation, showing it consistently finds the optimal portfolio where a standard penalty-based QAOA fails. This work demonstrates that modifying the Hamiltonian architecture via a slack-ancilla scheme provides a robust and effective pathway for solving constrained optimization problems on quantum computers. A fundamental quantum limit on the simultaneous precision of portfolio risk and return is also posited.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{elock_son_4033,

title = {Analyse des déterminants de la satisfaction et de la fidélité au drive alimentaire},

author = {Célestin ELOCK SON and Salomée Ruel and Georges WALI BIDI},

url = {https://doi.org/10.1080/12507970.2025.2578267},

year  = {2025},

date = {2025-11-01},

journal = {Logistique & Management},

abstract = {This study, involving a sample of 298 drive-through (DT) users, aims to identify the key variables of the DT service likely to contribute to customer satisfaction and increase loyalty (purchase frequency) to favour its adoption. Its particularity is to attempt a simultaneous measurement of the influence of assortment, the website functional quality/the quality of staff reception at the withdrawal terminals and reputation on satisfaction and purchase frequency at the drive-through. Similarly, it measures the mediating role of user trust as well as the moderating role of waiting time and Covid-19 in the adoption of drives. The results show that service variables such as the website functional quality/the quality of staff reception at the withdrawal terminals, reputation and assortment significantly influence the behaviour of DT users. Similarly, trust plays a partial mediation in the relationship between the above-mentioned variables and user behaviour (purchase frequency and satisfaction). Finally, the website functional quality/the quality of staff reception at the withdrawal terminals, reputation, assortment and trust have a significant impact on satisfaction, which in turn significantly influence the frequency of DT purchases. The effects of Covid-19 are not significant, which is an unexpected result.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{naseer_4001,

title = {The ESG Emissions Paradox: Capability?Contingent Effects of Research and Development and Cost Leadership in Asia},

author = {Mirza Muhammad Naseer and Nazim HUSSAIN and Sana Akbar Khan and Guiseppe Nicolò},

url = {https://doi.org/10.1002/bse.70362},

year  = {2025},

date = {2025-11-01},

journal = {Business Strategy And The Environment},

abstract = {This study investigates the impact of greenhouse gas (GHG) emissions, research and development (R&D) spending, and cost leadership strategies (CLSs) on the environmental, social, and governance (ESG) performance of Asian firms from 2015 to 2023. Multiple econometric methods, including ordinary least squares (OLS), fixed effects, the generalized method of moments (GMM), and quantile regression, are employed to test the hypotheses. The study's findings indicate a positive association between GHG emissions intensity and ESG performance, suggesting that higher emitting firms tend to bolster their ESG ratings chiefly through enhanced transparency and governance practices rather than through emissions reductions. R&D intensity and CLS also demonstrate positive associations with ESG performance, with powerful effects among firms with initially lower capabilities. Quantile regression results indicate that these relationships vary across performance levels; top-performing firms achieve a deeper level of sustainability integration, whereas lower performing firms rely more heavily on disclosure strategies. These results contribute to a deeper understanding of corporate sustainability in emerging markets and offer practical implications for policymakers, investors, and managers.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{latukha_3937,

title = {Why do they come back? Returnees' presence, talent management and firms' innovative capabilities},

author = {Marina Latukha and Mariia Shagalkina and Vyacheslav Telov and Liana Rysakova},

url = {https://doi.org/10.1108/EBR-10-2024-0313},

year  = {2025},

date = {2025-11-01},

journal = {European Business Review},

volume = {37},

number = {6},

pages = {940-963},

abstract = {Purpose



Investigation of returnees receives much attention in management as due to obtaining international human and social capital, returnees contribute to economic and non-economic performance, internationalization, corporate social responsibility activities, social change, innovativeness, and competitive advantage of companies where those returnees work. Returnees' effect on innovative capabilities, i.e. antecedents of innovativeness, is dependent on the extent to which these individuals can share their knowledge and experience. The paper aims to investigate the role of talent management (TM) practices for returnees in shaping firms' innovative capabilities.

Design/methodology/approach



Drawing from the knowledge-based view of the firm and dynamic capabilities theory, the authors use a sample of 80 companies with returnee employees to empirically test the hypotheses.

Findings



The authors show that attraction, development and retention practices aimed at returnees are positively associated with innovative capabilities and innovativeness of companies. Moreover, TM for returnees moderates the relationship between innovative capabilities and innovativeness in firms with returnee employees.

Originality/value



The authors provide statistical evidence of TM practices as a mechanism through which highly skilled returnees impact organizational outcomes in the context of emerging economies. As highly skilled returnees may be considered talents, a TM system may facilitate knowledge sharing and eliminate possible issues in cross-cultural adaptation and integration.},

note = {13/11/2025 : demande du PDF à Marina},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{singh_3995,

title = {From purpose to purchase: how sustainable advertising builds brand trust and corporate reputation},

author = {Anurag Singh and Rupesh Kumar and Vinod Kumar and Georgia Sakka and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis},

url = {https://doi.org/10.1080/02650487.2025.2578151},

year  = {2025},

date = {2025-11-01},

journal = {International Journal Of Advertising},

pages = {1-27},

abstract = {Sustainability-oriented advertising aligned with the United Nations 

Sustainable Development Goals (SDGs) significantly enhances Indian 

consumers' purchase intentions through brand trust, moderated by 

corporate reputation and SDG literacy, as revealed by a six-month 

time-lagged survey of n=421 respondents. Employing PLS-SEM, this 

study demonstrates that SDG-focused CSR advertising strengthens 

brand trust, which mediates 63% of the total effect on purchase 

intentions. Corporate reputation amplifies this relationship, with 

high-reputation firms achieving 23% greater purchase intention, 

while consumers in the top SDG literacy quartile exhibit 31% stronger trust-to-purchase pathways. The implications of the study highlight the need for the layered communication frameworks that 

navigate India's evolving sustainability landscape.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{saeed_3944,

title = {Does the presence of a corporate social responsibility committee matter for bank risk-taking?},

author = {Asif SAEED and Sajid M. CHAUDHRY and Riadh Manita and Phassawan Suntraruk},

url = {https://doi.org/10.1108/RAF-05-2024-0175},

year  = {2025},

date = {2025-11-01},

journal = {Review of Accounting and Finance},

volume = {24},

number = {5},

pages = {601-618},

abstract = {Purpose



This study aims to explore whether the presence of a CSR committee is effective in mitigating the bank tail risk. Next, how corporate governance attributes contribute to this association.

Design/methodology/approach



Using data from the US banking sector, the final sample consists of 583 bank-years from 130 banks. The authors start with a bank-year fixed effect regression analysis. Further, they used bank-level cluster effect, Fama-MacBeth regression and Weighted least squares regression for robustness. For endogeneity, they also apply two-stage least squares and generalized method of moments.

Findings



The regression estimation documents that the existence of a CSR committee effectively reduces the tail risk in the banking sector. The main findings are robust with different regression settings and alternate proxies of tail risk. Further, the authors also confirm the existence of this relationship with different levels of corporate governance (CEO duality, board independence, board size and gender diversity) and corporate social responsibility.

Social implications



Enhancing comprehension of the CSR committee's influence on banking tail risk is pivotal for banks in refining their sustainability strategies, a matter of significant societal importance. This research contributes to advancing the UN SDGs, particularly Goal 17, which emphasizes fostering partnerships to achieve common objectives.

Originality/value



Prior research has intensively focused on whether CSR policies are associated with bank risk-taking. In addition, it has mostly formulated the causality from ESG performance to bank risk; hence, the literature lacks heterogeneity in this respect. The investigation validates that the presence of a CSR committee in the financial sector effectively enhances the bank's ESG performance and mitigates its risk.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{guerard_3916,

title = {Mixed Data Clustering Survey and Challenges},

author = {Guillaume Guérard and Sonia Djebali},

url = {https://doi.org/10.1007/s42979-025-04439-7},

year  = {2025},

date = {2025-11-01},

journal = {SN Computer Science},

volume = {6},

pages = {939},

abstract = {The advent of the big data paradigm has revolutionized the way industries han-

dle and analyze information, ushering in an era characterized by unprecedented

volumes, velocities, and varieties of data. In this context, mixed data clustering

emerges as a critical challenge, necessitating innovative approaches to effectively

harness the wealth of heterogeneous data types, including numerical and categor-

ical variables. Traditional methods, designed for homogeneous datasets, often fall

short in accommodating the complexities introduced by mixed data, highlight-

ing the need for novel clustering techniques tailored to this context. Hierarchical

and explainable algorithms play a pivotal role in addressing these challenges,

offering structured frameworks that enable interpretable clustering results, which

are essential for informed decision-making. This paper presents a method based

on pretopological spaces. Moreover, benchmarking against traditional numerical

clustering methods and pretopological approaches provides valuable insights into

the performance and efficacy of our novel clustering algorithm within the big

data paradigm.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{taher_3860,

title = {SHREC 2025: Protein surface shape retrieval including electrostatic potential},

author = {Yacoub Taher and Depenveiller Camille and Tatsuma Atsushi and Barisin Tin and Rusakov Eugen and Göbel Udo and Peng Yuxu and Deng Shiqiang and Kagaya Yuki and Park Joon Hong and Kihara Daisuke and Guerra Marco and Palmieri Giorgio and Ranieri Andrea and Fugacci Ulderico and Biasotti Silvia and Ruiwen He and Halim Benhabiles and Adnane Cabani and Karim Hammoudi and Li Haotian Li and Huang Hao and Li Chunyan and Tehrani Alireza and Meng Fanwang and Zadeh Farnaz Heidar- and Yang Tuan-Anh and Montes Matthieu},

url = {https://doi.org/10.1016/j.cag.2025.104394},

year  = {2025},

date = {2025-11-01},

journal = {Computers & Graphics-Uk},

volume = {132},

pages = {104394},

abstract = {This SHREC 2025 track dedicated to protein surface shape retrieval involved 9 participating teams. We evaluated the performance in retrieval of 15 proposed methods on a large dataset of 11,565 protein surfaces with calculated electrostatic potential (a key molecular surface descriptor). The performance in retrieval of the proposed methods was evaluated through different metrics (Accuracy, Balanced accuracy, F1 score, Precision and Recall). The best retrieval performance was achieved by the proposed methods that used the electrostatic potential complementary to molecular surface shape. This observation was also valid for classes with limited data which highlights the importance of taking into account additional molecular surface descriptors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ouchdiri_3897,

title = {Turing patterns in a morphogenetic model with single regulatory function},

author = {Mohamed Amine Ouchdiri and SAAD BENJELLOUN and Adnane Saoud and Irene Otero-Muras},

url = {http://dx.doi.org/10.1016/j.mbs.2025.109536},

year  = {2025},

date = {2025-11-01},

journal = {Mathematical Biosciences},

volume = {389},

pages = {109536},

abstract = {Confirming Turing's theory of morphogens in developmental processes is challenging, and synthetic biology has opened new

avenues for testing Turing's predictions. Synthetic mammalian pattern formation has been recently achieved through a reaction-

diffusion system based on the short-range activator (Nodal) and the long-range inhibitor (Lefty) topology, where a single function

regulates both morphogens. In this paper, we investigate the emergence of Turing patterns in the synthetic Nodal-Lefty system.

First, we prove the existence of a global solution and derive conditions for Turing instability through linear stability analysis.

Subsequently, we examine the behavior of the system near the bifurcation threshold, employing weakly nonlinear analysis, and

using multiple time scales, we derive the amplitude equations for supercritical and subcritical cases. The results demonstrate the

ability of the system to support various patterns, with the subcritical Turing instability playing a crucial role in the formation of

dissipative structures observed experimentally.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dornaika_3847,

title = {Towards Dynamic Self-Training for Scalable Semi-Supervised Learning on Graphs},

author = {Fadi Dornaika and Zoulfakar IBRAHIM and Jinan Charafeddine and Alireza Bosaghzadeh},

url = {http://dx.doi.org/10.1016/j.neucom.2025.131223},

year  = {2025},

date = {2025-11-01},

journal = {Neurocomputing},

volume = {654},

pages = {131223},

abstract = {In the realm of graph-based semi-supervised learning (GSSL), traditional methodologies often struggle to effectively handle labeled samples and scale to accommodate large datasets. To increase supervision information in semi-supervised learning, the self-training paradigm is often used, mainly in datasets with moderate sizes. On the other hand, the use of anchors was adopted with large datasets. In this research endeavor, we propose a novel framework for GSSL that leverages a novel self-training principle tailored for very large datasets, and introduces an advanced method for automatic graph construction using anchors. Our approach focuses on utilizing generated labels of random batches of unlabeled samples, subsequently incorporating these predictions into the training set to enhance the model's accuracy. Pseudo-labeling, a specific instance of self-training, assigns pseudo-labels to the most confidently predicted unlabeled examples, treating them as ground truth during the training phase. By constructing anchor-to-anchor affinity graphs that incorporate both feature and label information, our method facilitates robust learning on large-scale datasets. Through comprehensive experimentation across diverse large datasets, our approach demonstrates its efficacy in achieving scalable and reliable semi-supervised learning outcomes. These findings represent a significant advancement in the field of GSSL, with wide-ranging implications for various applications across different domains. Our method not only addresses the scalability issue but also ensures the effective integration of both labeled and pseudo labeled data, thereby enhancing the overall learning process.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dai_3878,

title = {Multiscale Risk Spillovers and External Driving Factors: Evidence From the Global Futures and Spot Markets of Staple Foods},

author = {Yun-Shi Dai and Peng-Fei Dai and Stéphane Goutte and Duc Khuong Nguyen and Wei-Xing Zhou},

url = {https://doi.org/10.1111/risa.70094},

year  = {2025},

date = {2025-11-01},

journal = {Risk Analysis},

volume = {45},

number = {11},

pages = {3554-3584},

abstract = {Stable and efficient food markets are crucial for global food security. However, international staple food markets are increasingly exposed to complex risks, including intensified risk contagion and increasing external uncertainties. This paper systematically investigates risk spillovers in global staple food markets and explores the key determinants of these spillover effects, combining innovative decomposition-reconstruction techniques, risk connectedness analysis, and random forest models. The findings reveal that short-term components exhibit the highest volatility, with futures components generally more volatile than spot components. Further analysis identifies two main risk transmission patterns, namely, cross-grain and cross-timescale transmission, and clarifies the distinct roles of each component in various net risk spillover networks. Furthermore, price drivers, external uncertainties, and core supply-demand indicators significantly influence these spillover effects, with the heterogeneous importance of varying factors in explaining different risk spillovers. This study provides valuable information on the risk dynamics of staple food markets, offers evidence-based guidance to policymakers and market participants to improve risk warning and mitigation efforts, and supports the stabilization of international food markets and the protection of global food security.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bitar_3856,

title = {Can CSR in banking reduce corruption?},

author = {Mohammad Bitar and Hassan Obeid and Imane El Ouadghiri and Jonathan Peillex},

url = {https://doi.org/10.1016/j.frl.2025.107939},

year  = {2025},

date = {2025-11-01},

journal = {Finance Research Letters},

volume = {85},

pages = {107939},

abstract = {This study examines the impact of bank involvement in corporate social responsibility (CSR) on corruption. Using a sample of banks from 40 countries, the results show that CSR initiatives significantly reduce corruption, with consistent findings across tests. Mechanism analysis reveals that CSR mitigates corruption by strengthening regulatory frameworks, improving stakeholder protection, diversifying resources, and enhancing transparency. These findings emphasize the importance of integrating CSR into banking strategies and regulatory requirements to address social and environmental priorities and combat corruption.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{khan_3827,

title = {Climate Change Initiatives, Environmental Management Training, and Firm Performance: The Trickle?Down Effect of Board?Level Gender Diversity on Gender Diversity in the top Management Team},

author = {Mushtaq Hussain Khan and Inam Ul Haq and Muhammad Umer Azeem and Abdul Ghafoor},

url = {https://doi.org/10.1002/bse.70061},

year  = {2025},

date = {2025-11-01},

journal = {Business Strategy And The Environment},

volume = {34},

number = {7},

pages = {9274-9300},

abstract = {We examine the interrelationships among climate change initiatives, environmental management training, and firm performance while considering the trickle-down effect of board-level gender diversity on gender diversity in the top management team (TMT). Using an unbalanced panel dataset of 117,410 firm-year observations from five regions, representing 11 industries and operating in 71 countries from 2013 to 2022, our findings reveal that climate change initiatives significantly enhance firm performance. Our results further exhibit that the interaction effects of gender diversity at the board and TMT levels (the trickle-down effect) support climate change initiatives by encouraging environmental management training (EMT), thereby improving firm performance. To address the potential endogeneity issues, we employed a two-step system generalized method of moments (GMM) approach. Our empirical results are robust to endogeneity and alternative measures. Overall, our evidence supports the Resource-Based View Theory and Upper Echelon Theory to demonstrate how a diverse TMT and board members can contribute to more robust climate change strategies by using EMT as a resource to achieve performance objectives. Hence, we make important contributions to the corporate governance and environmentalism strands of the literature by highlighting the role of gender in shaping climate change initiatives and influencing firm performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lacour_3784,

title = {Capillary properties of natural fibre assembly for evaporative purposes},

author = {Stéphanie Lacour and Véronique Aguié-Béghin and Brigitte Chabbert and Mario Scheel and Damien Thomas and Pascal Clain},

url = {https://doi.org/10.1016/j.colsurfa.2025.137145},

year  = {2025},

date = {2025-11-01},

journal = {Colloids And Surfaces A-Physicochemical And Engineering Aspects},

volume = {724},

pages = {137145},

abstract = {Natural fibres are well known for their high efficiency in evaporation and humidification applications, making them a promising solution for cooling processes during heat waves. Mimicking the evapotranspiration mechanisms of trees is essential for designing optimal fibre wicks in canopy-like devices. Such devices are designed by their capillary rising height and water storage capacity. This study examines the water retention properties and capillary rise height of various yarns: retention tests for surface properties and tomographies for topographical aspects are combined to explain observed water rising height in samples. Tomographic analyses document pore sizes, fibre diameters, and water distribution within the wicks. Water retention properties among the samples range from less than 10% to over 20% of dry mass, reflecting significant wettability differences. However, the ultimate height of water ascension primarily depends on the structural yarn properties. Repeated tomographic scans during the rise reveal that water initially ascends in fibre-dense regions. The competition between capillary and tensile forces causes displacements, redistributing fibre densities. In plant fibres, swelling amplifies these displacements and propagates them along the wick axis. Water envelops individual fibres or bundles, penetrating into the lumens. The size of wet lumens increases due to internal capillary pressure, which is influenced by the convexity of the internal walls. This pressure drives a creeping progression of the water front along the fibre axis. The study finds that a high number of strings with intermediate porosities, which accommodate swelling, enhances the capillary rise height. However, further research is needed to fully understand the role of lumens. While they provide additional water storage capacity and facilitate capillary action through small diameters, they may also reduce the flow rate of water ascent.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{courtioux_3448,

title = {How Tax Credit Shapes Firm R&D Strategies?},

author = {Pierre COURTIOUX and François Métivier and Antoine Rebérioux},

url = {https://www.degruyter.com/document/doi/10.1515/ael-2022-0098/html},

year  = {2025},

date = {2025-11-01},

journal = {Accounting, Economics and Law: A Convivium},

volume = {15},

number = {3},

pages = {437-470},

abstract = {This study extends the definition of firms' R&D strategies to integrate fiscal considerations related to R&D tax credits. Using French company data, we identify six types of ?extended' R&D strategies. We then examine the relationships of these strategies with the effective rate of R&D tax credits, defined as the ratio of total tax reliefs obtained by a firm through R&D tax credit to real R&D spending. This study contributes to a better understanding of the heterogeneity of companies' R&D strategies.},

note = {publication online de 2023 intégrée à un numéro en 2025},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{peticca-harris_3217,

title = {Neoliberal healthism and women's entrepreneurial subjectivities in yoga},

author = {Amanda Peticca-Harris and Sara R.S.T.A Elias and Kseniya Navazhylava and M.N. Ravishankar},

url = {https://doi.org/10.1177/13505084241295736},

year  = {2025},

date = {2025-11-01},

journal = {Organization},

volume = {32},

number = {8},

pages = {1223-1244},

abstract = {Women entrepreneurs have long encountered the neoliberal expectation to perform as ideal subjects by exhibiting an enterprising femininity. However, existing literature on critical women's entrepreneurship has largely overlooked how health and wellbeing discourses permeate enterprising ideals and impact one's subjectivity. This qualitative study explores how 41 women entrepreneurs construct an enterprising subjectivity through neoliberal healthism, and by doing so, provides a deeper understanding of alternative logics within and beyond the neoliberal logic of the enterprise. Our findings detail who they understand themselves to be by internalizing and at times challenging neoliberal ideals through themes of self-responsibilization, self-optimization, and reflective health.  Our main contribution to critical women's entrepreneurship is that we conceptualize how an enterprising subjectivity is constructed through the personal optimization of health and wellbeing, fueled by shared-self-care rather than only the logic of market enterprise.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lakhal_4050,

title = {Beyond the Bin: The Effect of Waste Reduction on Real Earnings Management},

author = {Faten Lakhal and Assil Guizani and Khaled Ghozzi and Khaled Hussainey},

url = {https://doi.org/10.1002/ijfe.70083},

year  = {2025},

date = {2025-10-01},

journal = {International Journal Of Finance & Economics},

volume = {0},

pages = {1-21},

abstract = {We investigate the effect of waste management strategies on real earnings management. Using a sample of 6515 firm-year observations from 22 countries spanning the 2011-2022 period, we show that companies that reduce their waste generation are less likely to engage in real earnings management, supporting the ethical theoretical perspective. However, waste-recycling activities positively influence real earnings management due to the high costs of recycling processes. Additionally, we show that the negative effect of waste reduction on real earnings management is only prevalent in companies with low agency costs, those with high corporate governance quality, and those operating in non-competitive markets. These findings highlight the broader implications of corporate waste management for financial reporting quality. By focusing solely on real earnings management, this study opens new avenues via which future research can explore other dimensions of financial reporting quality and examine evolving regulatory frameworks.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{ben_guedria_4049,

title = {Individual and organizational antecedents of absorptive capacity: a multilevel mediation model},

author = {Nour Ben Guedria and Lassaad Lakhal and Faten Lakhal},

url = {https://doi.org/10.1108/MD-05-2024-1046},

year  = {2025},

date = {2025-10-01},

journal = {Management Decision},

pages = {1-28},

abstract = {Purpose



This paper aimed to investigate the impact of individual and organizational antecedents and their interactions on a firm's absorptive capacity (ACAP) based on Coleman's (1990) framework.

Design/methodology/approach



We used multilevel structural equation modeling based on 135 top managers and 307 core knowledge employees from 135 Tunisian companies in the chemical and electrical, electronic and appliance sectors.

Findings



The results show that flexibility-oriented human resource management (HRM) systems are positively associated with ACAP at the organizational level, suggesting that there is a micro-level process underlying this relationship. The results also show that flexibility-oriented HRM systems positively impact extrinsic motivation, which, in turn, fosters creative behavior, further boosting ACAP. Finally, extrinsic motivation and creative behavior mediate the relationship between flexibility-oriented HRM systems and ACAP.

Originality/value



This study provides new insights into the relationship between flexibility-oriented HRM systems and ACAP, highlighting the essential microfoundations that underlie organizational ACAP, i.e. creative behavior and extrinsic motivation. It is one of the first empirical investigations to validate Coleman's (1990) multilevel framework for understanding organizational ACAP.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}