Publication

@article{hamdache_4081,

title = {On a model of Landau-Lifshitz-Gilbert equation for conducting ferromagnets},

author = {Kamel Hamdache and Djamila Hamroun},

url = {https://doi.org/10.1007/s11587-025-01038-9},

year  = {2025},

date = {2025-12-01},

journal = {Ricerche Di Matematica},

pages = {1-36},

abstract = {In this paper, we are concerned with the Landau-Lifshitz-Gilbert equation (LLG) in a new form proposed in [32] that describes magnetization dynamics of a ferromagnetic body including the role of conduction electrons spin. Considering the one dimensional case, we prove local existence in time and uniqueness of a regular solution with finite energy. The method relies on Galerkin approximating solutions and  defined estimates which give rise to a solution of our problem during a time interval (0, T ?).},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chevalier_4076,

title = {Security Models and Cryptographic Protocols in a Quantum World},

author = {Céline Chevalier and Paul Hermouet and Quoc Huy Vu},

url = {http://dx.doi.org/10.1561/0400000122},

year  = {2025},

date = {2025-12-01},

journal = {Foundations and Trends in Theoretical Computer Science},

volume = {17},

number = {1-2},

pages = {1-140},

abstract = {The emergence of quantum computing has provided new paradigms for cryptography. On the one hand, it poses significant new threats to existing classically cryptographic systems, requiring the community to define new security models that capture what a quantum adversary can do. On the other hand, it gives us new tools to design cryptographic protocols, with weaker assumptions than in the classical world, or even protocols that are impossible classically.



In this survey, we first give an overview of new security definitions for classical cryptography, considering quantum adversaries who can either only use local quantum computation (post-quantum security), or even send quantum messages and in particular have access to oracle in superposition (quantum security). We explore these new notions through the examples of commitments, zero-knowledge proofs, encryption, and signatures. Then, we present what is arguably the most famous application of quantum cryptography: quantum key distribution (QKD) protocols that take advantage of unique properties of quantum mechanics to provide secure communication unconditionally. We also explore cryptography beyond QKD, focusing on unclonable cryptography: a family of cryptographic functionalities, built with quantum states, and designed to be resistant to counterfeit by leveraging the ?no-cloning? theorem. We examine in particular quantum money, but also the recent notions of unclonable encryption and copy-protection, including related variants.



By presenting a comprehensive survey of these topics, this paper aims to provide a thorough understanding of the current landscape and future potential of quantum cryptography.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{guerard_4073,

title = {Dataset Readiness Assessment for Training (DRAFT): A Protocol for Auditing High?Dimensional Biological Data},

author = {Guillaume Guérard and Sonia Djebali},

url = {https://doi.org/10.1002/cpz1.70285},

year  = {2025},

date = {2025-12-01},

journal = {Current Protocols},

volume = {5},

number = {12},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{auelien_4072,

title = {Bridging the Gap in Nanogrid Load Forecasting: The Drahi-X Dataset and a Standardized Benchmarking Framework},

author = {Aurus Auélien and Guillaume Guérard},

url = {https://doi.org/10.1007/s40866-025-00319-4},

year  = {2025},

date = {2025-12-01},

journal = {Smart Grids and Sustainable Energy},

volume = {10},

number = {Article Nu},

abstract = {Short-term univariate forecasting of nanogrid power consumption is essential for balancing supply and demand in small-scale energy systems. Existing benchmarks, often focused on large utilities or renewable generation, inadequately address the non-stationary, bursty patterns inherent in nanogrid loads. This paper introduces DrahiX, a novel five-year, multi-zone hourly consumption dataset annotated with regime shifts and missing-data patterns. We also present a comprehensive open-source benchmarking pipeline, featuring standardized preprocessing, rolling-window splits, diverse error metrics (point-forecast and shape-aware), and quantitative measures of forecast difficulty (e.g., permutation entropy, change-point counts). Through rigorous evaluation of statistical, machine learning, and deep learning models, our findings indicate that deep learning architectures, particularly Time2Vec-BiLSTM, demonstrate superior performance compared to simpler models, especially under conditions of higher series non-stationarity and complexity. The public release of the DrahiX dataset, all code, and hyperparameter configurations ensures full reproducibility, aiming to accelerate research and enhance the operational efficiency, renewable self-consumption, and resilience of nanogrid systems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhao_4067,

title = {Structure-Coupled Numerical Modeling of Self-Gradient in Airborne Gravity Gradiometers},

author = {Wei Zhao and Qianlong Wu and Mingbiao Yu and Zhiqiang Wang and Xicheng Song and Yuanhang Sun and Liang Zhang},

url = {https://doi.org/10.1109/JSEN.2025.3641664},

year  = {2025},

date = {2025-12-01},

journal = {Ieee Sensors Journal},

pages = {1-1},

abstract = {Self-gradient in airborne gravity gradiometers arises from the instrument's internal mass distribution and varies nonlinearly with platform attitude, thereby degrading measurement accuracy. Conventional compensation approaches based on multi-attitude measurements and parameter fitting exhibit limited predictive capability and often fail to capture higher-order tensor effects. To address this issue, a structure-coupled numerical framework is developed for modeling self-gradient in moving-base gravity gradiometers. The instrument's 3D CAD model and time-varying attitude drive a volumetric discretization of the structure, while gravitational-acceleration excitation on gradient-sensitive accelerometers is computed using a hybrid solver that combines closed-form analytic formulas for cuboidal elements with Gaussian quadrature for tetrahedra. The model preserves second- and higher-order gravity-gradient tensor contributions and generates attitude-dependent self-gradient maps. Verification against a standard rectangular-prism reference shows that the tetrahedral-Gaussian scheme achieves an error better than 0.3 E at the current mesh resolution, with a representative instrument configuration further demonstrating yaw-, roll-, and pitch-dependent responses. The framework thus provides a predictive tool for design-stage analysis and feed-forward compensation, directly linking 3D structural models with self-gradient computation to support intelligent manufacturing and system-level optimization of airborne gravity gradiometers.},

keywords = {},

pubstate = {online},

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{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 = {2025-12-01},

journal = {Logistique & Management},

volume = {33},

number = {4},

pages = {323-342},

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 = {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{abuzerr_4085,

title = {A qualitative study on gendered wash insecurity and health outcomes among internally displaced populations in conflict-affected context},

author = {Samer Abuzerr and Hani Hamdan and Jinan Charafeddine},

url = {https://doi.org/10.1186/s12889-025-25777-4},

year  = {2025},

date = {2025-11-01},

journal = {Bmc Public Health},

abstract = {Background

Internally displaced populations (IDPs) in conflict-affected settings face severe challenges related to water, sanitation, and hygiene (WASH) insecurity. Gender plays a critical role in shaping these experiences and their consequent health outcomes. This study explores the gendered dimensions of WASH insecurity among IDPs living in makeshift shelters in the Gaza Strip and examines associated health impacts.



Methods

A qualitative study was conducted between March 28 and May 8, 2025, involving in-depth interviews with 26 female participants, including adult women and adolescent girls, residing in Gaza's displacement shelters. Descriptive themes were developed to explore: (1) access to clean water and sanitation facilities; (2) menstrual hygiene practices and challenges; (3) personal safety and dignity in WASH settings; (4) mental and physical health impacts; (5) gender roles and responsibilities related to WASH; and (6) coping mechanisms and support networks. Data were analyzed thematically to capture the lived experiences, coping strategies, and health consequences of WASH insecurity through a gender-sensitive lens.



Results

Findings reveal that WASH insecurity disproportionately affects women and girls by exacerbating risks to physical and mental health, including recurrent infections, menstrual hygiene challenges, and psychosocial distress. Social norms and displacement conditions restrict women's access to safe, private sanitation, increasing vulnerability to harassment and undermining dignity. Despite these hardships, participants demonstrated resilience through adaptive coping strategies, though these often reinforced gendered burdens.



Conclusions

Addressing WASH insecurity in Gaza's displacement settings requires gender-responsive humanitarian interventions that prioritize privacy, safety, and menstrual hygiene management. Integrating WASH services with protection and health programs is vital to improving health outcomes and upholding the dignity of displaced women and girls. Enhanced participation of women in WASH planning and decision-making is crucial to achieving equitable and sustainable solutions.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{pignot_4069,

title = {Ethical design: a post-Lacanian ethnography of a serious healthcare game},

author = {Edouard Pignot and Jean-Etienne Joullié and Anthony Gould},

url = {https://doi.org/10.1108/JOE-06-2025-0084},

year  = {2025},

date = {2025-11-01},

journal = {Journal of Organizational Ethnography},

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

number = {No. ahead-},

pages = {1-24},

abstract = {Purpose

This ethnographic case study explores how designers of a serious healthcare game internalise ethical challenges.



Design/methodology/approach

The analysis uses Jason Glynos' post-Lacanian theory of ethics with its underpinning notions of fantasy, identification and detachment to interpret how designers wrestle with infantilisation (characterised here as overidentification with fantasy) insofar as it affects elderly people.



Findings

The research finds that game design ethically benefits when designers experience fantasy traversal.



Originality/value

Games as a means of promoting healthcare and lifestyle outcomes raise ethical conundrums. To address these concerns, researchers have generally adopted either a normative or a virtue ethics perspective of game design. In so doing, they have neglected how designers actually experience creating a game and, in particular, make decisions about the infantilisation that the process sometimes entails. The present study seeks to remedy such oversight.},

keywords = {},

pubstate = {online},

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}

}