Science des données, transformation digitale, risques et systèmes complexes

@article{maiti_3237,

title = {A Reduced Model Retaining 1st-Order Vortex Corrections in the Averaged Dynamics of the Wind past Buildings},

author = {Samik Maiti and Aminallah Rabia and Amine Ammar and Alessandro Biancalani and Francisco Chinesta and Yannick Hoarau and Samir Yahiaoui},

url = {https://doi.org/10.18280/ijht.420506},

year  = {2024},

date = {2024-10-01},

journal = {International Journal of Heat and Technology},

volume = {42},

number = {5},

pages = {1534},

abstract = {The nonlinear dynamics of turbulence formed by the wind flowing near solid objects can

be studied with a variety of different physical models, more or less numerically demanding.

An application is the study of the formation of turbulence past buildings, with the goal of

determining the no-fly zones for drones in smart cities. In this paper, we examine the

Reynolds- averaged Navier-Stokes (RANS) model, which is popular in simulating the wind

dynamics in small portions of a city. We compare the results with those of the Large-Eddy-

Simulation (LES) model, more physically comprehensive, but more numerically

demanding. The analysis of the vortex formation in the LES model helps estimating the

1st-order correction to add to the lighter RANS results. This constitutes the scheme of a

reduced model, which takes the RANS model as a basis, on top of which an extra layer of

the dimension of the main vortex, obtained with the LES simulation, is added. This reduce

model can be used, for example, to estimate the no-fly zone with a higher level of accuracy

with respect to the pure RANS, yet with a computational effort comparable to the pure

RANS.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{arraji_3270,

title = {Stability of the one electron atom Schrödinger model with magnetic field in two dimensions},

author = {Ayoub Arraji and SAAD BENJELLOUN and Salma Lahbabi},

url = {https://link.intlpress.com/JDetail/1851628428481605634},

year  = {2024},

date = {2024-10-01},

journal = {Advances In Theoretical And Mathematical Physics},

volume = {28},

number = {5},

pages = {1597-1623},

abstract = {We study the stability of the one electron atom Schrödinger model with self-generated magnetic field in two dimensions. The magnetic energy is taken of a general form and we study the stability of the model as a function of the power p and the coupling

constant K. We show that for p > 3/2, the model is always stable, and for p < 3/2, the model is always unstable. In the critical case

p = 3/2, there is a critical stability constant Kc, that we characterize in terms of zero modes of the Dirac-Weyl operator. The value

of Kc is approximated using analytic and numerical methods.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{recuero_virto_2907,

title = {The determinants of legislation for radiofrequency electromagnetic fields (RF-EMF) with the onset of 5G: An empirical analysis with a worldwide cross-sectional dataset},

author = {Laura Recuero Virto and Marek Czerwinski and Jérémy Froidevaux},

url = {https://onlinelibrary.wiley.com/doi/10.1111/risa.14298},

year  = {2024},

date = {2024-09-01},

journal = {Risk Analysis},

volume = {44},

number = {9},

pages = {2046-2088},

abstract = {The unprecedented exposure of radiofrequency electromagnetic field (RF-EMF) to humans from mobile communications raises serious public concern about the possibility of unexpected adverse health effects and has stimulated authorities to adopt precautionary exposure limits. These limits are distinctly different across countries,

and the causes of these differences are unclear from the literature. This article is the

first empirical analysis on the determinants of RF-EMF exposure legislation, using a novel cross-sectional database of 164 countries worldwide. The analysis shows that decentralization and mobile competition in countries with low mobile network deployment tend to promote more stringent RF-EMF exposure limits across the dataset with 164 countries. In more decentralized countries, the regions had a greater influence on national legislation and could accommodate local demands with the advent of mobile technology in the 2000s. In contrast, decentralization and mobile competition in countries

with high levels of mobile network deployment tend to relax RF-EMF exposure limits in the sample of 61 countries with fifth-generation (5G) technology. Indeed, restrictive RF-EMF exposure limits are constraining 5G deployment in a context of the widespread adoption of mobile-broadband technologies. These results should be useful for policymakers and mobile operators alike to anticipate the outcome of legislation in countries that have yet to introduce 5G technology. The results should also be

useful when reviewing policies and strategies for the implementation of the upcoming 6G technology in frequency bands that will be increasingly higher (above 6 GHz up to THz for very local usage), and hence where the health effects on humans are less well studied.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_3046,

title = {A time viscosity-splitting method for incompressible flows with temperature-dependent viscosity and thermal conductivity},

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

url = {https://www.sciencedirect.com/science/article/pii/S0045782524003591?dgcid=coauthor},

year  = {2024},

date = {2024-09-01},

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

volume = {429},

pages = {117103},

abstract = {A fractional-step method is proposed and analyzed for solving the incompressible thermal Navier-Stokes equations coupled to the convection-conduction equation for heat transfer with a generalized source term for which the viscosity and thermal conductivity are temperature dependent under the Boussinesq assumption. The proposed method consists of four steps all based on a viscosity-splitting algorithm where the convection and diffusion terms of both velocity and temperature solutions are separated while a viscosity term is kept in the correction step at all times. This procedure preserves the original boundary conditions on the corrected

velocity and it removes any pressure inconsistencies. As a main feature, our method allows the temperature to be transported by a non-divergence-free velocity, in which case we show how to handle the subtle temperature convection term in the error analysis and establish full

first-order error estimates for the velocity and the temperature solutions and 1?2-order estimates

for the pressure solution in their appropriate norms. The theoretical results are examined by an accuracy test example with known analytical solution and using a benchmark problem of Rayleigh-Bénard convection with temperature-dependent viscosity and thermal conductivity.

We also apply the method for solving a problem of unsteady flow over a heated airfoil. The obtained results demonstrate the convergence, accuracy and applicability of the proposed time viscosity-splitting method.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_3096,

title = {A TOE-DCV approach to green supply chain adoption for sustainable operations in the semiconductor industry},

author = {Ranjan Chaudhuri and Bindu Singh and Amit Kumar Agrawal and Sheshadri Chatterjee and Shivam Gupta and Sachin Kumar Mangla},

url = {https://www.doi.org/10.1016/j.ijpe.2024.109327},

year  = {2024},

date = {2024-09-01},

journal = {International Journal Of Production Economics},

volume = {275},

pages = {109327},

abstract = {Semiconductor industry plays a critical role for the global economy. Semiconductor industry provides various necessary technologies such as IoT, AI, modern fabrication technologies and so on to various industries including automotive industry, electronic and communication industry, healthcare industry, construction and building industry, space industry, and so on. However, semiconductor supply chain experiences various supply chain related risks and challenges because of its procedural complexities, global supply chain integrations, government policy and regulations, competitiveness, technological complexities, and so on. Not many studies available which investigated the risk, resilience, and complexities regarding green supply chain adoption by semiconductor industry. In this context, the objective of this study is to examine the risks, resilience, and complexities for managing the green supply chain adoption for higher sustainability in the semiconductor industry. Utilizing the TOE framework (Technology-Organization-Environment) and DCV (Dynamic Capability View), we developed a research model to achieve this purpose. Subsequently, this model was validated through structural equation modelling, involving 356 respondents affiliated with the semiconductor industry. This study highlights that technological risk aspects comprising of technological turbulence and risk, compatibility and complexity, organizational dynamic capabilities, and resilience along with appropriate policy and regulations could help successful adoption of green supply chain management in the semiconductor industry.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{toufaily_3107,

title = {In blockchain we trust? Demystifying the ?trust? mechanism in blockchain ecosystems},

author = {Elissar Toufaily and Tatiana ZALAN},

url = {https://www.sciencedirect.com/science/article/pii/S0040162524003706?ref=pdf_download&fr=RR-2&rr=8a7436131c9600b9},

year  = {2024},

date = {2024-09-01},

journal = {Technological Forecasting And Social Change},

volume = {206},

pages = {123574},

abstract = {The purpose of the paper is to conceptualize and redefine trust within the blockchain ecosystem by exploring the

trust construct across academic disciplines and its applicability in the blockchain context. We develop a conceptual

model and testable propositions that extend the work of McKnight et al. (2001, 2002, 2011) to the

blockchain ecosystem based on an integrative literature review. We conceptualize trust as a multidimensional,

multi-object construct combining three major objects of trust: algorithmic trust in the blockchain protocol

(platform), trust towards peers and services providers, and trust in decentralized applications (product). The

model reflects the process of building a trust layer for users and institutions on top of the trustless technology.

The paper demystifies the trust building process, from initial trust to knowledge-based trust, and its dimensions

within the blockchain ecosystem, and, consequently, helps practitioners to build strategies that increase users'

trust. The contribution to the academic literature resides in the unification of multiple perspectives on trust

within an integrative conceptual framework to point out the mechanisms of trust building process, as well as to

identify future research directions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{singh_3110,

title = {Managing risk concerns with ordered backlogs in the semiconductor industry: An empirical study},

author = {Ashutosh Singh and Surajit Bag and Tsan-Ming Choi and Surender Munjal},

url = {https://www.sciencedirect.com/science/article/pii/S092552732400183X},

year  = {2024},

date = {2024-09-01},

journal = {International Journal Of Production Economics},

volume = {275},

pages = {109326},

abstract = {Today, the semiconductor industry is integral to the functionality of many critical goods and processes that are highly valued. The increasing demand across various semiconductor-related industries has correspondingly amplified the risks faced by firms within this sector. In this study, we empirically explore the potential of ordered backlogs as a means to mitigate the risks confronting semiconductor firms. Utilizing a dataset comprising publicly traded semiconductor firms in the USA, over a duration from 1998 to 2021, we quantitatively validate our hypotheses. Our findings reveal that a substantial volume of ordered backlogs is indeed correlated to a diminished level of firm risk. However, it is important to note that this risk-mitigating effect is lessened as the marketing and research intensities of these firms escalate. Moreover, we observe that the advantageous impact of ordered backlogs in risk reduction is more subdued in large workforce firms, whereas the presence of a sizable top management team aids in lessening the impact of ordered backlogs on risk. These managerial insights are invaluable in advancing both theoretical understanding and managerial practices within the realm of the semiconductor industry.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{obbadi_3021,

title = {An improved splitting algorithm for unsteady generalized Newtonian fluid flow problems with natural boundary conditions},

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

url = {https://www.sciencedirect.com/science/article/pii/S0898122124002165?dgcid=coauthor},

year  = {2024},

date = {2024-08-01},

journal = {Computers & Mathematics With Applications},

volume = {167},

pages = {92-109},

abstract = {Generalized Newtonian fluids are challenging to solve using the standard projection or fractional-step methods which split the diffusion term from the incompressibility constraint during the time integration process. Most of this class numerical methods already suffer from some inconsistencies, even in the Newtonian case, due to unphysical pressure boundary conditions which deteriorate the quality of approximations especially when open boundary conditions are prescribed in the problem under study. The present study proposes an improved viscosity-splitting approach for solving the generalized Newtonian fluids in which the viscosity follows a nonlinear generic rheological law. This method consists of decoupling the convective effects from the incompressibility while keeping a diffusion term in the last step allowing to enforce consistent boundary conditions. We provide a full algorithmic description of the method accounting for both Dirichlet and Neumann boundary conditions. To evaluate the computational performance of the proposed viscosity-splitting algorithm, we present numerical results for an example with manufactured exact solution and for the benchmark problems of lid-driven cavity flow and flow past a circular cylinder. We also assess the accuracy of the method for an unsteady flow around an arrangement of two cylinders in tandem and comparisons with results obtained using a monolithic approach reveal good general agreement.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_3054,

title = {Building smart product-service systems capabilities for circular supply chains in the Industry 4.0 era},

author = {Surajit Bag and Shivam Gupta and Hau-Ling Chan and Ajay Kumar},

url = {https://www.sciencedirect.com/science/article/pii/S1366554524002163?via%3Dihub},

year  = {2024},

date = {2024-08-01},

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

volume = {188},

pages = {103625},

abstract = {A smart product-service system is an integrated digital infrastructure that brings together products

and services to provide clients with a full range of options. A smart product-service system is

a crucial capability that enhances collaboration among several parties in a supply chain and gives

businesses valuable insights into performance. This study investigates (a) the zero-level capabilities

(also known as organizational capabilities) that influence dynamic capabilities (i.e., smart

circular product-service systems capabilities) building in the Industry 4.0 era while environmental

dynamism acts as a moderator, and (b) how the smart circular product-service systems

capabilities can support firms' (financial and environmental) performance. Based on the data

collected from the manufacturers who have been actively involved in smart circular productservice

system based projects, our findings reveal that three zero-level capabilities (i.e., product

lifetime database creation capabilities, analytics and business intelligence capabilities and

actuating capabilities) are crucial for building dynamic capabilities (i.e., smart circular productservice

systems capabilities) in a volatile business environment. Besides, we also highlight how

these capabilities can positively affect firms' financial and environmental performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{berjawi_3055,

title = {Well-posedness of the Green-Naghdi model for an uneven bottom in presence of the Coriolis effect and surface tension},

author = {Marwa Berjawi and Toufic El Arwadi and Samer Israwi and Raafat Talhouk},

url = {https://doi.org/10.1111/sapm.12725},

year  = {2024},

date = {2024-08-01},

journal = {Studies in Applied Mathematics},

volume = {153},

number = {2},

pages = {e12725},

abstract = {The objective of this work is to derive and analyze a

Green-Naghdi model with Coriolis effect and surface

tension in nonflat bottom geometry. Gui et al. derive

a Green-Naghdi-type model in flat bottom geometry

under the gravity and Coriolis effect. Chen et al. proved

the existence and uniqueness of solution in Sobolev

space under a condition depending on the initial velocity

and the Coriolis effect. In this paper, we provide a rigorous

derivation of Green-Naghdi model under the influence

of the two mentioned effects, with nonflat bottom.

After that, the existence and construction of solutions for

the derived model will be proved under two alternative

conditions: the first one is the same condition as in Chen

et al. and Berjawi et al. and the second one concerns only

the Coriolis coefficient ? that supposed to be only of

order ?(

?

?). This existence and uniqueness result ameliorate

the result of Chen et al. and Berjawi et al. in the

sense that no condition on the velocity is needed.We also

prove the continuity of the associated flow map.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nguyen_3084,

title = {Portfolio's weighted political risk and mutual fund performance: A text-based approach},

author = {Huong Giang Nguyen and Khanh Hoang and Quan M.P. Nguyen and Hung Wuan Do and Duc Khuong Nguyen},

url = {https://www.sciencedirect.com/science/article/pii/S154461232400758X?via%3Dihub},

year  = {2024},

date = {2024-08-01},

journal = {Finance Research Letters},

volume = {66},

pages = {105728},

abstract = {Using text-based measures of firm-level political risk, we find a negative impact of the portfolio's weighted political risk on U.S. mutual fund performance. This relationship is robust to a wide range of topic-specific political risks at the firm level. We, however, find that national geopolitical risk, the U.S. state-level economic policy uncertainty, and Brexit-induced risk do not affect mutual fund performance. Our results suggest that even though mutual funds are immune from political risk at the macro level, they are significantly exposed to idiosyncratic political risk. We also demonstrate that partisanship matters to mutual fund performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2884,

title = {Exploring the potential of blockchain-enabled smart contracts for achieving net-zero emissions: An empirical study},

author = {Surajit Bag and Muhammad Sabbir Rahman and Susmi Routray and Santosh Kumar Shrivastav and Soni Agrawal},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3691},

year  = {2024},

date = {2024-07-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {5},

pages = {3965-3985},

abstract = {A sustainable future entails addressing net-zero emissions, which balances greenhouse gas emissions, thereby mitigating climate change. This study explores the relationship between the information quality, system quality, and service quality of blockchain-enabled smart contracts (BSCs) with collaboration quality to achieve net-zero emissions. The study further explores the role of collaboration quality in influencing the intention-to-use BSC and organizational satisfaction. The study employed the revised DeLone and McLean model and validated it with data from 434 respondents using structural equation modeling. The results validate all the hypotheses derived from the updated DeLone and McLean information system (IS) success model. There exist significant relationships between information quality, system quality, and service quality in the BSCs leading to collaboration quality to achieve net-zero emissions. The study establishes the significant role of collaboration quality which positively impacts usage behavior and organizational satisfaction, mediated by the intention to use. The findings of this study offer insights for organizations and policymakers seeking to harness blockchain for environmental sustainability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chiarini_2885,

title = {Using green human resource management practices to achieve green performance: Evidence from Italian manufacturing context},

author = {Andrea Chiarini and Surajit Bag},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3724},

year  = {2024},

date = {2024-07-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {5},

pages = {4694-4707},

abstract = {The effect of green human resource management (GHRM) practices on employees' environmental engagement, attitudes, and behaviors is well-known. What is less known is which GHRM practices can have a positive influence on achieving green performance through the mediating role played by people's engagement. To address the research gaps, this study used mixed-method research design. In Phase 1, this study focused on the advanced manufacturing context of Italy by surveying 540 managers to develop a multiple regression model and test six different GHRM practices as the hypotheses. In Phase 2, qualitative data analysis was analyzed. Our findings highlighted that GHRM practices connected with awards and compensations did not affect green performance. Conversely, a correlation was observed between achieving green performance and practices such as training, aligning management with the company's strategic environmental goals and objectives, involving managers in the process of defining the goals and objectives, and the green reputation of the company and the managers who can act as environmentally responsible leaders. This study extends social exchange theory and opens new avenues for further research and proposes several practical suggestions for practitioners.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2910,

title = {Emergence of Social Robot Technology and Its Friction-Free Diffusion in Society: From Engineering Aesthetics and Compatibility Perspective},

author = {Sheshadri Chatterjee and Ranjan Chaudhuri and Ajay Kumar and Francesco Schiavone},

url = {https://ieeexplore.ieee.org/document/10309836},

year  = {2024},

date = {2024-07-01},

journal = {Ieee Transactions On Engineering Management},

volume = {71},

pages = {13179-13190},

abstract = {A social robot utilizes artificial intelligence (AI) technology to engage and interact with humans and several studies have explored the various functionalities of social robots. However, limited research has been conducted on how factors such as aesthetics and compatibility can influence individuals' intention to use social robots. Consequently, the aim of this research study is to address this gap and provide insights in this area. The study adopts the technology acceptance model, theory of planned behavior, and innovation diffusion theory to investigate the cognitive and psychological factors that impact an individual's intention to use social robots. The study uses self-efficacy, and innovativeness as the predictors of compatibility. Also, the study uses personal norms, and social norms as predictors of aesthetics. Taking account of theories and current literature, we developed a conceptual model and validated it using the partial least squares structural equation modeling technique with 372 respondents. The study found that compatibility and aesthetics are important factors impacting individuals' intentions to use social robots.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_2911,

title = {Reimaging Emerging Technologies for Digital Transformation and Growth Trajectory of Organizations in New Normal: The Moderating Role of Organizational Data-Driven Culture},

author = {Ranjan Chaudhuri and Demetris Vrontis and Sheshadri Chatterjee},

url = {https://ieeexplore.ieee.org/document/10256670},

year  = {2024},

date = {2024-07-01},

journal = {Ieee Transactions On Engineering Management},

volume = {71},

pages = {13109-13122},

abstract = {Emerging technologies, such as artificial intelligence, big data analytics, and blockchain, play a major role in the digitalization of organizations. Data are important for decision-making processes. Organizations need to establish a data-driven culture to support the digital transformation process. However, extant literature is scant to investigate the effects of digitalization on organizational sustainability performance. In this context, this study aims to investigate how data-driven culture and digital transformation could impact organizational sustainability performance by improving some intermediate contextual factors. To investigate the effects of digitalization, this study has developed a theoretical model with the knowledge of literature and theories. Later, the model has been statistically validated. This study claims its uniqueness because no other studies have extensively demonstrated that applications of digital technologies in a data-driven culture could improve the sustainability performance of organizations by improving product and process innovation and the financial and operational performance of organizations. However, the study results suffer from external validity issues, as the analysis of the results depends on the inputs of the respondents who are based out of India. This has been considered as a limitation in this study.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yao_3011,

title = {The effect of LNG bunkering on port competitiveness using multilevel data analysis},

author = {Akoh Fabien Yao and Maxime Sèbe and Laura Recuero Virto and Abdelhak Nassiri and Hervé Dumez},

url = {https://doi.org/10.1016/j.trd.2024.104240},

year  = {2024},

date = {2024-07-01},

journal = {Transportation Research Part D-Transport And Environment},

volume = {132},

pages = {104240},

abstract = {Environmental practices can enable most businesses, including ports, to gain a competitive advantage. Given the chicken-and-egg dilemma for the adoption of alternative fuels in the shipping industry, this article assesses whether and to what extent ports have incentives to provide liquefied natural gas (LNG) bunkering infrastructure. More specifically, we test whether such facilities positively affect the competitiveness of the ports, which would be an additional incentive to drive the transition to alternative fuels. Using multilevel regressions and propensity score matching on LNG-fueled vessel movements in the Baltic Sea Region in 2019, we found no significant effect of LNG bunkering infrastructure on port competitiveness, measured by port choice probabilities expressed by vessels. Although our findings indicate that ports do not gain a competitive advantage in the short-term, we do not rule out potential gains in the long-term. Policy intervention is desirable in the short-term to maintain incentives for port investments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zekhnini_3060,

title = {Supply Chain 5.0 Digitalization: An Integrated Approach for Risk Assessment},

author = {Kamar Zekhnini and Abla Chaouni Benabdellah and Surajit Bag and Shivam Gupta},

url = {https://www.emerald.com/insight/content/doi/10.1108/MD-12-2023-2329/full/html},

year  = {2024},

date = {2024-07-01},

journal = {Management Decision},

abstract = {This article aims to assess risks related to the supply chain 5.0 digitalization. It aims to analyze interdependencies and causal relationships between critical digital supply chain 5.0 risks, emphasizing the need for proactive management to address emerging challenges.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{sutradhar_3061,

title = {Enhancing identity and access management using Hyperledger Fabric and OAuth 2.0: A block-chain-based approach for security and scalability for healthcare industry},

author = {Shrabani Sutradhar and Sunil Karforma and Rajesh Bose and Sandip Roy and Sonia Djebali and Debnath Bhattacharyya},

url = {https://doi.org/10.1016/j.iotcps.2023.07.004},

year  = {2024},

date = {2024-07-01},

journal = {Internet of Things and Cyber-Physical Systems},

volume = {4},

pages = {49-67},

abstract = {Block-chain-based Identity and access management framework is a promising solution to privacy and security issues raised during the exchange of patient data in the healthcare industry. This technology ensures the confidentiality and integrity of sensitive information by providing a decentralized and immutable ledger. In our research, we propose an identity and access management system that employs Hyper-ledger Fabric and OAuth 2.0 for improved security and scalability. This combination allows for transparency and immutability of user transactions and minimizes the risk of fraud and unauthorized access. Additionally, Hyper-ledger Fabric's privacy, security, and scalability features enable granular access control to sensitive information, while OAuth 2.0 authorizes only trusted third-party applications to access specific data on the Fabric network. The proposed approach can handle large volumes of data and support multiple applications, thus providing a secure and scalable solution for managing access to the Fabric network. Moreover, our solution employs Role-based access control based on the patient's role, ensuring privacy and confidentiality. Our statistical analysis demonstrates that the proposed approach can efficiently and securely manage patient identity and access, potentially transforming the healthcare industry by enhancing data interoperability, reducing fraud and errors, and improving patient privacy and security. Furthermore, our solution can facilitate compliance with regulatory requirements such as HIPAA and GDPR.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ngo_3085,

title = {Estimating the productivity of US agriculture: The Fisher total factor productivity index for time series data with unknown prices},

author = {Thanh Ngo and David Stripe and Duc Khuong Nguyen},

url = {https://onlinelibrary.wiley.com/doi/10.1111/1467-8489.12565},

year  = {2024},

date = {2024-07-01},

journal = {Australian Journal Of Agricultural And Resource Economics},

volume = {68},

number = {3},

pages = {701-712},

abstract = {In this paper, we propose a straightforward way to estimate the Fisher ideal total factor productivity (TFP) index (FI) in cases where price information is unavailable, using ?shadow prices' derived from data envelopment analysis (DEA). A Monte Carlo experiment shows that the shadow price Fisher ideal TFP index (SPFI) can effectively estimate the ?true' FI with relatively small (and stable) errors. The empirical application to the US agriculture sector (1948-2017) further suggests that the SPFI is a (superior) alternative to the traditional Malmquist DEA, especially in dealing with unbalanced panel or time series data when price data are unknown.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kumar_3160,

title = {Mapping business ethics and society: A systematic journey into research and way forward},

author = {Vinod Kumar and Sachin Kumar and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis},

url = {https://onlinelibrary.wiley.com/doi/10.1111/beer.12731},

year  = {2024},

date = {2024-07-01},

journal = {Business Ethics, the Environment and Responsibility},

abstract = {While the notion of business ethics has historical roots, previous research endeavours have refrained from consolidating the existing body of knowledge on the intersection of business ethics and society. This hesitance is attributed to the intricate and diverse nature of such studies. Thus, there is a gap in the literature on synthesizing the intimate relationship between business ethics and society. This gap in research serves as the impetus and motivation for the current investigation. However, limited empirical studies are found to have been conducted in the allied areas and there are limited studies that map business ethics and society in an extensive manner. In this context, this study systematically reviewed 87 scholarly works spanning a period of over 20?years in the realm of business ethics concerning society by considering articles included in the Scopus and Web of Science databases. Through the outcomes of this inquiry, an integrative and comprehensive framework detailing the interplay between business ethics and society at individual and organizational levels is introduced, with the potential to guide forthcoming scholars and practitioners in their pursuits. In this study, themes including employees' ethical behaviour, manufacturing strategy and ethics, leadership dynamics, consumer trust and so on have not been considered as critical societal dimensions that have not been included.},

keywords = {},

pubstate = {online},

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  = {2024},

date = {2024-07-01},

journal = {The Journal of Legislative Studies},

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 = {online},

tppubtype = {article}

}

@article{shams_3016,

title = {Developing brand identity and sales strategy in the digital era: Moderating role of consumer belief in brand},

author = {Riad Shams and Sheshadri Chatterjee and Ranjan Chaudhuri},

url = {https://www.sciencedirect.com/science/article/pii/S0148296324001930?via%3Dihub},

year  = {2024},

date = {2024-06-01},

journal = {Alliance Journal of Business Research},

volume = {179},

pages = {114689},

abstract = {Brand identity helps customers to identify, as well as distinguish alternative competitive brands. If there is a consistent marketing strategy and consistent messaging, brand identity remains consistent, which helps in improving sales management and generating better revenue for the brand. In this digital era, there are various digital marketing tools and capabilities to improve brand identity, which help in establishing close association with customers to influence their purchasing decisions. However, we have limited understanding of the antecedents of brand identity in the digital era, and how the moderating role of consumer belief in brands could influence their purchasing decision making process. In this context, this study aims to determine the antecedents of brand identity in the digital era, and to examine if there is any moderating impact of consumer belief in brand (CBB) on consumer purchase decision (CPD). Based on the resource-based view and social identity theory, a theoretical model has been developed. Following the survey responses of representatives from 302 organizations/brands, the covariance-based structural equation modelling validates our model. Our analysis affirms that e-WOM, digital infrastructure, skilled manpower, and digital marketing capability positively impact on developing brand identity, which influences sales strategy differently in different situation to influence CPD, where CBB plays a moderating role. The study results have been derived by analyzing the inputs of the respondents based out of India which invited external validity issue and it has been considered as one of the limitations of this study.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{safa_3033,

title = {Asymptotic Expansion of the Solutions to a Regularized Boussinesq System (Theory and Numerics)},

author = {Ahmad Safa and Hervé Le Meur and Jean-Paul Chehab and Raafat Talhouk},

url = {https://link.springer.com/article/10.1007/s10440-024-00660-3?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=nonoa_20240603&utm_content=10.1007/s10440-024-00660-3},

year  = {2024},

date = {2024-06-01},

journal = {Acta Applicandae Mathematicae},

volume = {191},

number = {12},

pages = {1-25},

abstract = {We consider the propagation of surface water waves described by the Boussinesq system. Following (Molinet et al. in Nonlinearity 34:744-775, 2021), we introduce a regularized Boussinesq system obtained by adding a non-local pseudo-differential operator define by  with . In this paper, we display a twofold approach: first, we study theoretically the existence of an asymptotic expansion for the solution to the Cauchy problem associated to this regularized Boussinesq system with respect to the regularizing parameter . Then, we compute numerically the function coefficients of the expansion (in ) and verify numerically the validity of this expansion up to order 2. We also check the numerical  stability of the numerical algorithm.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{singh_3052,

title = {Assessing the entrepreneurial business performance from a dynamic capability and TOE framework: moderating role of crowdfunding support},

author = {Bindu Singh and Shefali Srivastava and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis},

url = {https://www.doi.org/10.1108/JSBED-10-2023-0462},

year  = {2024},

date = {2024-06-01},

journal = {Journal of Small Business and Enterprise Development},

abstract = {Purpose - This study aims at assessing entrepreneurial business performance (EBP) from dynamic capability

(DC) and technology-organization-environment (TOE) framework perspectives, taking support from

crowdfunding.

Design/methodology/approach - With the inputs from the literature, supported by TOE framework and

the dynamic capability view (DCV), a model has been proposed. This model has been tested by the factor-based

partial least squares structural equation modeling (PLS-SEM) technique through a survey and quantifying the

responses of 406 respondents on a five-point Likert scale has been used.

Findings - The study has found that crowdfunding support (CFS) has an effective influence on the

improvement of EBP. Also, the DC supports to improve the EBP. Environmental dynamism (END) has also a

critical role in impacting business performance.

Research limitations/implications - Crowdfunding involves investors who have a similar interest in the

business, close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model

can be used by these stakeholders for investment purposes as well as for improving EBP. This study is a cross

sectional research work which has limitations. Moreover, the sample size of this project is limited and did not

include global respondents, Thus, the findings of this study cannot be generalizable which is another limitation

of this study.

Practical implications - Crowdfunding involves investors who have a similar interest in the business, such

as close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model can be

used by these stakeholders for investment purposes as well as for improving EBP. The study can help

policymakers understand the importance of crowdfunding in promoting entrepreneurship activities in a

region, which helps in the economic development of that region.

Originality/value - This research work enriches the extant literature in the fields of crowdfunding and

investment, DC and entrepreneurship. Not many studies have dealt with the issues of CFS for the improvement

of EBP. Hence, this study may be considered novel. Moreover, the proposed research framework related to

crowdfunding possesses a high predictive power. This makes the study unique.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{garcin_3053,

title = {Nonparametric estimator of the tail dependence coefficient: balancing bias and variance},

author = {Matthieu Garcin and Maxime Nicolas},

url = {https://link.springer.com/article/10.1007/s00362-024-01582-w},

year  = {2024},

date = {2024-06-01},

journal = {Statistical Papers},

volume = {65},

pages = {4875-4913},

abstract = {A theoretical expression is derived for the mean squared error of a nonparametric estimator of the tail dependence coefficient, depending on a threshold that defines which rank delimits the tails of a distribution. We propose a new method to optimally select this threshold. It combines the theoretical mean squared error of the estimator with a parametric estimation of the copula linking observations in the tails. Using simulations, we compare this semiparametric method with other approaches proposed in the literature, including the plateau-finding algorithm.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vazquez_hernandez_2473,

title = {Female advertising models and their body mass index (BMI): How does BMI similarity affect perceived product quality?},

author = {Erik Ernesto Vazquez Hernandez and Reto Felix and Lorena Siliceo},

url = {https://onlinelibrary.wiley.com/doi/10.1002/cb.2274},

year  = {2024},

date = {2024-05-01},

journal = {Journal Of Consumer Behaviour},

volume = {23},

number = {3},

pages = {1251-1269},

abstract = {Recent research has pointed out the importance of appearance similarity as a special instance of homophily. The current paper introduces body mass index (BMI) similarity as a convenient and powerful proxy of perceived appearance homophily in the context of female advertising models by showing process evidence and boundary conditions for the effect of BMI similarity on marketing-relevant downstream variables. Study 1 tests how BMI similarity relates to a traditional measure of appearance homophily and perceived reliability of a female advertising model. Study 2 shows that BMI similarity influences perceived product quality and purchase intention. Website vividness negatively moderates the relationship between BMI similarity and product quality. Study 3 tests for alternative explanations and provides support for the mediating effect of appearance homophily for the relationship between BMI similarity and perceived product quality. The findings provide marketing managers with important insights on how to increase their marketing effectiveness by integrating BMI similarity into their marketing communications. Additionally, using BMI similarity serves as an alternative way to promote diversity and inclusion of models with plus-size body type often sought by societal brands.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{grasselli_2744,

title = {A general framework for a joint calibration of VIX and VXX options},

author = {Martino Grasselli and Andrea Mazzoran and Andrea Pallavicini},

url = {https://ideas.repec.org/a/spr/annopr/v336y2024i1d10.1007_s10479-023-05205-9.html},

year  = {2024},

date = {2024-05-01},

journal = {Annals Of Operations Research},

volume = {336},

number = {1},

pages = {3-26},

abstract = {We analyze the VIX futures market with a focus on the exchange-traded notes written on such contracts, in particular we investigate the VXX notes tracking the short-end part of the futures term structure. Inspired by recent developments in commodity smile modelling, we present a multi-factor stochastic-local volatility model that is able to jointly calibrate plain-vanilla options both on VIX futures and VXX notes, thus going beyond the failure of purely stochastic or simply local-volatility models. We discuss numerical results on real market data by highlighting the impact of model parameters on implied volatilities.},

note = {https://arxiv.org/abs/2012.08353},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boubaker_2930,

title = {Firm carbon risk exposure, stock returns, and dividend payment},

author = {Sabri Boubaker and Tonmoy Choudhury and Fakhrul Hasan and Duc Khuong Nguyen},

url = {https://www.sciencedirect.com/science/article/pii/S0167268123004687#:~:text=Our%20results%20show%20that%20when,stock%20returns%20and%20dividend%20payment.},

year  = {2024},

date = {2024-05-01},

journal = {Journal Of Economic Behavior & Organization},

volume = {221},

pages = {248-276},

abstract = {In this paper, we study whether a firm's carbon risk exposure plays a role in the relationship between dividend announcements and stock returns. Our results show that when investors hold disproportionately high carbon emitters with associated increased carbon risk, a positive relationship exists between a firm's carbon emissions and the association between the stock returns and dividend payment. If investors hold disproportionately high carbon emitters with the associated increased carbon risk stocks, the stock market reacts less positively (more negatively) to dividend increase (decrease) announcements. At the same time, if firms under-price their carbon risk, the stock market reacts less positively (more negatively) to dividend increase (decrease) announcements.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gasmi_2968,

title = {Digital Literacy, Sustainable Development and Radiation Regulation: Policy and Information Systems Implications},

author = {Farid Gasmi and Paul Noumba Um and Laura Recuero Virto and Peter Saba},

url = {https://link.springer.com/article/10.1007/s10796-024-10488-9#citeas},

year  = {2024},

date = {2024-05-01},

journal = {Information Systems Frontiers},

abstract = {This paper explores the convergence of development economics, regulatory policies, and public health considerations within the field of Information Systems (IS) research, focusing specifically on 5G and 6G mobile technologies. Despite the widespread deployment of these technologies and their potential health implications, there is a limited understanding in IS literature on why countries adopt varying thresholds for radiation regulation. Our study, analyzing data from 124 countries, uncovered an inverted U-shaped relationship between digital literacy and the rigidity of radiation regulation. This finding reveals that nations with lower digital literacy levels tend to enforce stricter regulations, whereas those with higher literacy levels adopt more relaxed policies. By highlighting how digital literacy, a critical aspect of the digital divide, significantly influences regulatory frameworks in telecommunications, this study contributes to filling the gap in IS research. This under- scores the necessity of informed and transparent regulatory decision making, especially in countries with diverse levels of digital literacy. Calling for a multidisciplinary approach to policy formulation, our work enriches the broader discourse in IS research, underlining the pivotal role of digital literacy in shaping both the access and regulatory landscapes of emerging technologies.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{hakiri_3101,

title = {A comprehensive survey on digital twin for future networks and emerging Internet of Things industry},

author = {Akram Hakiri and Aniruddha GOKHALE and Sadok Ben Yahia and Nédra Mellouli},

url = {https://www.sciencedirect.com/science/article/pii/S1389128624001828},

year  = {2024},

date = {2024-05-01},

journal = {Computer Networks},

volume = {244},

pages = {110350},

abstract = {The rapid growth of industrial digitalization in the Industry 4.0 era is fundamentally transforming the industrial

sector by connecting products, machines, and people, offering real-time digital models to allow self-diagnosis,

self-optimization and self-configuration. However, this uptake in such a digital transformation faces numerous

obstacles. For example, the lack of real-time data feeds to perform custom closed-loop control and realize

common, powerful industrial systems, the complexity of traditional tools and their inability in finding effective

solutions to industry problems, lack of capabilities to experiment rapidly on innovative ideas, and the absence

of continuous real-time interactions between physical objects and their simulation representations along with

reliable two-way communications, are key barriers towards the adoption of such a digital transformation.

Digital twins hold the promise of improving maintainability and deployability, enabling flexibility, auditability,

and responsiveness to changing conditions, allowing continuous learning, monitoring and actuation, and

allowing easy integration of new technologies in order to deploy open, scalable and reliable Industrial Internet

of Things (IIoT).

A critical understanding of this emerging paradigm is necessary to address the multiple dimensions of

challenges in realizing digital twins at scale and create new means to generate knowledge in the industrial

IoT. To address these requirements, this paper surveys existing digital twin along software technologies,

standardization efforts and the wide range of recent and state-of-the-art digital twin-based projects; presents

diverse use cases that can benefit from this emerging technology; followed by an in-depth discussion of the

major challenges in this area drawing upon the research status and key trends in Digital Twins.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{djebali_2538,

title = {Survey and insights on digital twins design and smart grid's applications},

author = {Sonia Djebali and Guillaume Guérard and Ihab Taleb},

url = {https://www.sciencedirect.com/science/article/pii/S0167739X23004466},

year  = {2024},

date = {2024-04-01},

journal = {Future Generation Computer Systems-The International Journal Of Escience},

volume = {153},

pages = {234-248},

abstract = {Digital twins are a promising technology for simulating complex systems, especially in the smart grid domain. This paper offers a comprehensive literature review on digital twins, focusing on data gathering, data management, and human-in-the-loop control design aspects. Emphasizing the integration of AI and machine learning in big data, it enhances analytics and decision-making capabilities. We introduce a collaborative framework involving multiple stakeholders to maximize the potential of digital twins. The paper examines digital twin applications in smart grids, covering areas like asset management, predictive maintenance, energy optimization, and demand response. By synthesizing research and implementation findings, we identify trends, challenges, and opportunities in the field.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bongini_2948,

title = {MEAN FIELD GAMES OF CONTROLS WITH DIRICHLET BOUNDARY CONDITIONS},

author = {Mattia Bongini and Francesco Salvarani},

url = {https://www.esaim-cocv.org/articles/cocv/abs/2024/01/cocv230134/cocv230134.html},

year  = {2024},

date = {2024-04-01},

journal = {Esaim-Control Optimisation And Calculus Of Variations},

volume = {30},

pages = {32},

abstract = {In this paper, we study a mean-field games system with Dirichlet boundary conditions in a closed domain and in a mean-field game of controls setting, that is in which the dynamics of each agent is affected not only by the average position of the rest of the agents but also by their average optimal choice. This setting allows the modeling of more realistic real-life scenarios in which agents not only will leave the domain at a certain point in time (like during the evacuation of pedestrians or in debt refinancing dynamics) but also act competitively to anticipate the strategies of the other agents. We shall establish the existence of Nash Equilibria for such class of mean-field game of controls systems under certain regularity assumptions on the dynamics and the Lagrangian cost. Much of the paper is devoted to establishing several a priori estimates which are needed to circumvent the fact that the mass is not conserved (as we are in a Dirichlet boundary condition setting). In the conclusive sections, we provide examples of systems falling into our framework as well as numerical implementations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bignoumba_2463,

title = {A new efficient ALignment-driven Neural Network for Mortality Prediction from Irregular Multivariate Time Series data},

author = {Nzamba Bignoumba and Nédra Mellouli and Sadok Ben Yahia},

url = {https://www.sciencedirect.com/science/article/pii/S0957417423026507?via%3Dihub},

year  = {2024},

date = {2024-03-01},

journal = {Expert Systems With Applications},

volume = {238},

number = {Part E},

pages = {122148},

abstract = {The irregularity of the time interval between observations in and across the stream is a key factor that leads to a drop in performance when classical machine learning or deep learning models are used for a downstream task requiring multivariate time series. Indeed, irregular multivariate time series not only increase the rate of missing values but also lead to data sparsity, which consequently makes the data almost unleverageable and/or ineffective for models. To tackle this scorching challenge, most of the pioneering approaches apply imputation or interpolation in their core, which might lead to embedding data with noise. To especially address this irregular multivariate time series issue, we introduce, in this paper, a new deep neural network model called ALignment-driven Neural Network. The innovative idea of our model is to transform the irregular multivariate time series into pseudo-aligned (or pseudo-regular) latent values. The latter are shown as a matrix, where the coefficients are the latent values of each feature at user-defined reference time points that are evenly spaced. They are obtained through a duplication process driven by an exponential decay mechanism. The obtained output is then passed to a Recurrent Neural Network model, which is undoubtedly the must-use model for regular time series data. To show that our model added value, we looked at the Intensive Care Unit mortality prediction task. In this unit, the physiological measurements used to make decisions have a problem with time irregularity. Leveraging the publicly available MIMIC-III, we compare the performance of our model to that of flagship models. In addition, we also performed extensive ablation studies to highlight the importance of specific components in our model. Interestingly enough, whenever data is collected 24 and 48 h after a patient's admission, we outperform our pioneering competitors, i.e., +1.1% and +1.5% for the AUC score, +2.3% and for the AUPRC score and +0.6% and +1.7%

 for the F1-score.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pignot_2558,

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

author = {Edouard Pignot and Mark Thompson},

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

year  = {2024},

date = {2024-03-01},

journal = {Information And Organization},

volume = {34},

number = {1},

pages = {100500},

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

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

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

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

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

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

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

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

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{brouty_2818,

title = {Fractal properties, information theory, and market efficiency},

author = {Xavier Brouty and Matthieu Garcin},

url = {https://doi.org/10.1016/j.chaos.2024.114543},

year  = {2024},

date = {2024-03-01},

journal = {Chaos Solitons & Fractals},

volume = {180},

pages = {1-14},

abstract = {Considering that both the entropy-based market information and the Hurst exponent are useful tools for determining whether the efficient market hypothesis holds for a given asset, we study the link between the two approaches. We thus provide a theoretical expression for the market information when log-prices follow either a fractional Brownian motion or its stationary extension using the Lamperti transform. In the latter model, we show that a Hurst exponent close to 1/2 can lead to a very high informativeness of the time series, because of the stationarity mechanism 	extcolor{red}{induced by the Lamperti transform. This result contrasts with the zero information of the fractional Brownian motion for the same value of the Hurst exponent.} In addition, we introduce a multiscale method to get a deeper interpretation of the entropy and of the market information, depending on the size of the information set. Applications to Bitcoin, CAC 40 index, Nikkei 225 index, and EUR/USD FX rate, using daily or intraday data, illustrate the methodological content.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rahman_2826,

title = {Understanding and predicting customers' intentions to use smartphone-based online games: A deep-learning-based dual-stage modelling analysis},

author = {Muhammad Sabbir Rahman and Surajit Bag and Farhana Habib Zinnia and Nripendra. P. Rana and Mohammad Osman Gani},

url = {https://www.sciencedirect.com/science/article/pii/S074756322300434X},

year  = {2024},

date = {2024-03-01},

journal = {Computers In Human Behavior},

volume = {152},

pages = {108083},

abstract = {Building upon flow theory, the present research empirically investigates the impact of customers' attitudes on their intention to use smartphone-based online gaming. It also examines the mediating effects of customers' perceived flow and engagement between attitudes and customer's intention to use smartphone-based online gaming. Furthermore, customers' cognitive involvement was also examined as a moderator in between attitude and perceived flow. The data were analysed using a dual-stage hybrid method embedded with PLS-SEM and ANN. A sample of 688 smartphone-based online game players was surveyed, and the results support the notion that customers' attitudes, considered as a formative construct, significantly influence intention to use smartphone-based online gaming. The study further confirms that perceived flow and customer engagement mediate the relationship between attitudes and intention to use smartphone-based online gaming. The study also identifies the role of cognitive involvement as a significant moderator in between customers' attitudes and perceived flow. Contributions for both theory and practice are presented in the concluding sections.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mheich_2862,

title = {On the Logarithmic Cahn-Hilliard Equation with General Proliferation Term},

author = {RIM MHEICH and Madalina Petcu and Raafat Talhouk},

url = {https://www.aimsciences.org/article/doi/10.3934/cpaa.2024016



doi:10.3934/cpaa.2024016},

year  = {2024},

date = {2024-03-01},

journal = {Communications On Pure And Applied Analysis},

volume = {23},

number = {3},

pages = {383-403},

abstract = {Our aim in this article is to study the well-posedness of the generalized

logarithmic nonlinear Cahn-Hilliard equation with regularization and

proliferation terms. We are interested in studying the asymptotic behavior, in

terms of finite-dimensional attractors, of the dynamical system associated with

the problem and majorate the rate of convergence between the solutions of the

Cahn-Hilliard equation and the regularized one. Additionally, we present some

further regularity results and subsequently prove a strict separation property

of the solution. Finally, we provide some numerical simulations to compare the

solution with and without the regularization term, and more.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_2909,

title = {Corporate entrepreneurial leadership, resources, capabilities, and sustainable performance},

author = {Ranjan Chaudhuri and Sheshadri Chatterjee and Sachin Kamble and Shivam Gupta and Nelson Oly Ndubisi and Amine Belhadi},

url = {https://onlinelibrary.wiley.com/doi/10.1002/bse.3585},

year  = {2024},

date = {2024-03-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {3},

pages = {2066-2083},

abstract = {Corporate entrepreneurial leadership (CEL) plays a critical role in promoting innovative behavior that disrupts existing practices in organizations, to say the least, encouraging new policy initiatives that could affect the business and social performance of the organizations under their sustainable development goals (SDGs). CEL can help achieve SDGs by redesigning different contextual factors to help promote various policy initiatives. In this vein, this study identifies the factors which could improve the business and social performance of the organizations helping to achieve SDGs through an amalgam of theoretical lenses, particularly the dynamic capability view. Based on extant literature, we developed, validated, and applied a theoretical model using the partial least square structural equation modeling technique on data collected from 327 respondents from different organizations. The study found that CEL capability significantly and positively impacts the various organizational entities and resources, which in turn affects the business and social performance of the organizations. Theoretical and managerial implications of the findings are also discussed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_2924,

title = {Assessing the influence of emerging technologies on organizational data driven culture and innovation capabilities: A sustainability performance perspective},

author = {Ranjan Chaudhuri and Sheshadri Chatterjee and Marcello Mariani and Samuel Fosso Wamba},

url = {https://www.sciencedirect.com/science/article/pii/S0040162523008508?via%3Dihub},

year  = {2024},

date = {2024-03-01},

journal = {Technological Forecasting And Social Change},

volume = {200},

pages = {123165},

abstract = {Industry 4.0 applications can accelerate data driven decision making culture in organizations. Such data driven 

culture can have a profound impact on the organizational capabilities underlying product and process innovation. While there is a relatively developed body of literature on the effect of data driven culture on organizational 

performance, there is virtually no study that has examined how Industry 4.0 influences the data driven culture of 

organizations and how in its turn such culture influences both product and process innovation. Furthermore, the 

role of organizational data driven culture has seldom been examined in relation to organizational sustainability 

performance. Against this backdrop, the aim of this study is to examine the role of emerging Industry 4.0 

technologies on the data driven culture of organizations and analyze if and how such data driven culture influences organizational performance ultimately translating into competitive advantage. By leveraging the 

Resource Based View (RBV) and Dynamic Capabilities theory, we developed a theoretical model and tested it 

using a PLS-SEM approach on a sample of 416 organizations. We found that adoption of industry 4.0 technologies 

influences organizational performance by improving social, competitive, and financial performance of the organizations relying on data driven culture and improved innovative capabilitie},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2940,

title = {Building digital technology and innovative lean management capabilities for enhancing operational performance: an empirical study},

author = {Surajit Bag and Muhammad Sabbir Rahman and Jitendra Sharma and Andrea Chiarini and Santosh Kumar Srivastava and Shivam Gupta},

url = {https://www.tandfonline.com/doi/abs/10.1080/09537287.2024.2327344},

year  = {2024},

date = {2024-03-01},

journal = {Production Planning & Control},

pages = {1-20},

abstract = {The study examines the direct effect of digital technology capability on innovative lean management capability and the indirect effect on operational performance. We considered continuous learning as a moderator, such that continuous learning could influence the relationships (i.e. digital technology capability and innovative lean management capability). We considered the overall satisfaction of employees as a moderator and empirically tested the relationships. The theoretical model was conceptualised by keeping the dynamic capability view in mind. The samples for the online survey were selected from food supply chain (FSC) firms. Hypothesis testing was performed and findings indicate that lower-order capabilities, such as adaptability, agility, and alignment capabilities, play a critical role in developing dynamic capability, that is, digital technology capability, which helps in achieving superior operational performance. However, innovative lean management capability plays a partial mediation role between digital technology capability and operational performance. A moderating role for continuous learning and overall satisfaction of employees was also supported. FSC firms should consider these factors to enhance operational performance in a dynamic business environment.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{ren_3111,

title = {Temporal Scaling Characteristics of Sub?Daily Precipitation in Qinghai?Tibet Plateau},

author = {Zhihui Ren and Yan-Fang Sang and Peng Cui and Deliang Chen and Yichi Zhang and Tongliang Gong and Shao Sun and Nédra Mellouli},

url = {https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF004417},

year  = {2024},

date = {2024-03-01},

journal = {Earths Future},

volume = {12},

number = {3},

pages = {e2024EF004417},

abstract = {The Qinghai?Tibet Plateau (QTP) is highly susceptible to destructive rainstorm hazards and

related natural disasters. However, the lack of sub?daily precipitation observations in this region has hindered

our understanding of rainstorm?related hazards and their societal impacts. To address this data gap, a new

approach is devised to estimate sub?daily precipitation in QTP using daily precipitation data and geographical

information. The approach involves establishing a statistical relationship between daily and sub?daily

precipitation based on data from 102 observation sites. This process results in a set of functions with six

associated parameters. These parameters are then modeled using local geographical and climatic information

through a machine learning algorithm called support vector regression. The results indicated that the temporal

scaling characteristics of sub?daily precipitation can be accurately described using a logarithmic function. The

uncertainty of the estimates is quantified using the coefficient of variance and coefficient of skewness, which are

estimated using a logarithmic and linear curve, respectively. Additionally, the six parameters are found to be

closely linked to geographical conditions, enabling the creation of a 1?km parameters data set. This data set can

be utilized to quantitatively describe the probabilistic distribution and extract key information about maximum

precipitation duration (from 1 to 12 hr). Overall, the findings suggest that the generated parameters data set

holds significant potential for various applications, including risk analysis, forecasting, and early warning for

rainstorm?related natural disasters in QTP. The innovative method developed in this study proves to be an

effective approach for estimating sub?daily precipitation and assessing its uncertainty in ungauged regions},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2393,

title = {Navigating circular economy: Unleashing the potential of political and supply chain analytics skills among top supply chain executives for environmental orientation, regenerative supply chain practices, and supply chain viability},

author = {Surajit Bag and Muhammad Sabbir Rahman},

url = {https://onlinelibrary.wiley.com/doi/10.1002/bse.3507},

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {504-528},

abstract = {In a changing business environment, firms encounter significant challenges to fulfill sustainable development goals. However, firms can make substantial progress by adopting regenerative approaches grounded in circular economy principles, enabling them to effectively pursue sustainable development objectives such as responsible production and consumption (goal 12), climate action (goal 13), and the preservation of life on land (goal 15). However, there is a scarcity of research studies that offer guidance to top supply chain (SC) executives, aiming to enhance their environmental focus and enhance the SC viability through regenerative SC practices. This study employed the philosophical perspective of the natural resource-based view. Advancing the SC literature, it tested a theoretical model to investigate the relationship between the political skills and SC analytics skills of top SC executives and the environmental orientation of SCs. Additionally, it examined the direct and indirect (via regenerative SC) relationships between a firm's environmental orientation and SC viability. This study also tested the moderating role of a firm's artificial intelligence-driven big data analytics culture in these relationships. Applying a mixed-methods approach, the study derived a theoretical model to link the aforementioned constructs. Apart from a qualitative investigation, data were also collected through a questionnaire-based survey from 375 samples. The results indicated that the relationship between the political skills and SC analytics skills of top SC executives toward the environmental orientation of SCs is significant. Furthermore, they indicated that a firm's environmental orientation is positively related to a regenerative SC, which in turn enhances SC viability. The findings also provided evidence that a firm's AI-driven big data analytics culture enhances the strength of these relationships. The current study extends the knowledge base by integrating the two unique concepts of digitalization and circular economy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{patil_2417,

title = {Examining the interactions among smart supply chains and carbon reduction strategies: To attain carbon neutrality},

author = {Anchal Patil and Vipulesh Shardeo and Ashish Dwivedi and Md. Abdul Moktadir and Surajit Bag},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3547},

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {1227-1246},

abstract = {Rapid industrialization and global supply chains have magnified industrial activities' carbon footprint, resulting in environmental hazards. Several countries have magnified their efforts to reach carbon neutrality goals. The increased attention to carbon-neutral goals has been enabled by United Nations (UN) calls for a carbon-neutral economy. In this context, supply chains will have greater responsibilities to reduce the network's carbon footprint. To achieve carbon neutrality goals, decision-makers must be well-informed and facilitated with suitable theoretical frameworks. In literature, the adoption of intelligent technologies is suggested to construct efficient and smart supply chains. However, there are uncertainties regarding the impact of this transformation on the carbon neutrality goal. The present study caters to the uncertainties by discussing its potential impact on carbon neutrality goals and how to use adopted technologies to achieve the same. A list of 11 potential strategies is identified and modelled to provide a strategic roadmap for smart supply chains' adoption. The proposed framework aims to facilitate carbon neutrality goals. The findings indicate that decision-makers must pay significant attention to circular economy practices. Additionally, green transportation is an impactful area with significant potential to support carbon neutrality goals. Critical insights have been extracted regarding stakeholders' training and process innovation. The study findings can help decision-makers achieve carbon neutrality goals.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2418,

title = {Buyer-supplier partnerships and circular economy performance in food supply chains: Serial mediation by commitment contract and innovation performance},

author = {Surajit Bag and Muhammad Sabbir Rahman and Gautam Srivastava and Peter Kilbourn and Nishikant Mishra},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3549},

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {1247-1264},

abstract = {The study investigates the impact of buyer-supplier partnerships on the performance of the circular economy (CE) in the food supply chain (FSC). Then, it also examines the effect of commitment contracts and innovation on the performance of the FSC. The research model is developed using behavioural economics concepts and collaborative theory. Furthermore, five research hypotheses are tested using samples from food manufacturers and other related supply chain partners. Covariance-based structural equation modelling technique is used in this study, and necessary tests were done to ensure the high quality of findings. Buyer-supplier partnerships demonstrate both direct and indirect effects on the CE performance in FSC. The findings supported the serial mediation effect wherein buyer-supplier partnerships are found to exert their impact on the CE in FSC through commitment contracts and innovation performance in a successive way. The uniqueness of this study lies in the use of behavioural economics concepts to enhance CE performance. The study advances knowledge of commitment contracts by indicating whether and how it connects to CE performance results.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2419,

title = {Data-driven insights for circular and sustainable food supply chains: An empirical exploration of big data and predictive analytics in enhancing social sustainability performance},

author = {Surajit Bag and Gautam Srivastava and Anass Cherrafi and Ahad Ali and Rajesh Kumar Singh},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3554},

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {1369-1396},

abstract = {Although the circular economy is commonly used among industries in developing countries to achieve carbon neutrality targets, its impact on social sustainability must be clarified. Stakeholders (for instance, community stakeholders) have been observed to be unaware of the focal firm's circular supply chain activities. Because this gap has not been generally reflected in the literature, it is critical to perform an empirical study to bridge the gap between theory and practice. The goal of this research was to determine whether new technologies such as big data and predictive analytics might influence an organization's propensity to share information related to circular economy practices with stakeholders as well as to increase connectivity with those stakeholders in the Industry 4.0 era. We also investigated whether these actions could increase stakeholder trust and engagement and social sustainability as a result. We tested our theoretical model using samples from food supply chain firms in South Africa. Confirmatory factor analysis was conducted using WarpPLS 7.0 software. The findings show that firms that deploy big data and predictive analytics are more likely to share information related to the circular economy with stakeholders and that these firms are also well-connected with those stakeholders, resulting in increased trust and engagement. This, in turn, contributes to the social sustainability of supply chains. Our research has made a significant contribution by encouraging a theoretical debate regarding the willingness to share information regarding the circular economy and the social sustainability of the supply chain.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_2513,

title = {Error estimates for a viscosity-splitting scheme in time applied to non-Newtonian fluid flows},

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

url = {https://www.sciencedirect.com/science/article/pii/S0045782523007636?dgcid=coauthor},

year  = {2024},

date = {2024-02-01},

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

volume = {419},

pages = {116639},

abstract = {A time fractional-step method is presented for numerical solutions of the incompressible non-Newtonian fluids for which the viscosity is non-linear depending on the shear-rate magnitude according to a generic model. The method belongs to a class of viscosity-splitting procedures and it consists of separating the convection term and incompressibility constraint into two time steps. Unlike the conventional projection methods, the viscosity is not dropped in the last step allowing to enforce the full original boundary conditions on the end-of-step velocity which eliminates any concerns about the numerical boundary layers. We carry out a rigorous error analysis and provide a full first-order error estimate for both the velocity and pressure solutions in the relevant norms. Numerical results are presented for two test examples of non-

Newtonian fluid flows to demonstrate the theoretical analysis and confirm the reliability of this viscosity-splitting scheme.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{leschiera_2660,

title = {An individual-based model to explore the impact of psychological stress on immune infiltration into tumour spheroids},

author = {Emma Leschiera and Gheed Al-Hity and Melanie Flint and Chandrasekhar Venkataraman and Tommaso Lorenzi and Luis Almeida and Chloé Audebert},

url = {10.1088/1478-3975/ad221a},

year  = {2024},

date = {2024-02-01},

journal = {Physical Biology},

volume = {2},

pages = {5;21},

abstract = {In recent in vitro experiments on co-culture between breast tumour spheroids and activated immune cells, it was observed that the introduction of the stress hormone cortisol

resulted in a decreased immune cell infiltration into the spheroids. Moreover, the presence of cortisol deregulated the normal levels of the pro- and anti-inflammatory cytokines IFN-?

and IL-10. We present an individual-based model to explore the interaction dynamics between tumour and immune cells under psychological stress conditions. With our model,

we explore the processes underlying the emergence of different levels of immune infiltration,

with particular focus on the biological mechanisms regulated by IFN-? and IL-10. The set-up of numerical simulations is defined to mimic the scenarios considered in the experimental

study. Similarly to the experimental quantitative analysis, we compute a score that quantifies the level of immune cell infiltration into the tumour. The results of numerical simulations indicate that the motility of immune cells, their capability to infiltrate through

tumour cells, their growth rate and the interplay between these cell parameters can affect the level of immune cell infiltration in different ways. Ultimately, numerical simulations

of this model support a deeper understanding of the impact of biological stress-induced mechanisms on immune infiltration.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2833,

title = {The effect of corporate ethical responsibility on social and environmental performance: An empirical study},

author = {Surajit Bag and Gautam Srivastava and Shivam Gupta and Uthayasankar Sivarajah and Natalie Victoria Wilmot},

url = {https://www.sciencedirect.com/science/article/pii/S0019850124000166},

year  = {2024},

date = {2024-02-01},

journal = {Industrial Marketing Management},

volume = {117},

pages = {356-370},

abstract = {In the field of business-to-business marketing, corporate ethical identity and corporate brand identity are crucial subjects for discussion. Business organizations function under social norms, and to establish an ethical identity, they must show corporate ethical responsibility, embrace ethical standards, and maintain open communication with suppliers. While an organization's reputation is impacted by the absence of an ethical identity, its financial success is unaffected. Extant literature has not thrown a spotlight on social and environmental performance which indicates that less focus has been given by academics than by practitioners. To fill the lacuna in the existing literature, this study examines the relationships between corporate ethical identity, corporate brand identity, social and environmental performance. The study uses a deductive research approach and develops hypotheses which are further tested using variance based structural equation modeling. The study offers a distinctive contribution to ethics theory and stakeholder theory by showing that developing an ethical identity requires more than just adhering to moral guidelines and upholding open communication. Companies must show that they are ethically responsible towards society. The study provides evidence of the influence corporate brand identity has on environmental and social performance. The findings can be useful in developing business-to-business marketing strategies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2915,

title = {Developing resilience of MNEs: From global value chain (GVC) capability and performance perspectives},

author = {Sheshadri Chatterjee and Ranjan Chaudhuri and Demetris Vrontis and Léo-Paul Dana and Diala Kabbara},

url = {https://www.sciencedirect.com/science/article/pii/S0148296323008068?via%3Dihub},

year  = {2024},

date = {2024-02-01},

journal = {Journal Of Business Research},

volume = {172},

pages = {114447},

note = {External shocks create various risks for enterprises. Multinational enterprises (MNEs) work to develop resilience and improve their global risk management capability. The COVID-19 pandemic has compelled MNEs to improve their global value chain (GVC) capability to enhance their global risk management and operational performance, which could eventually impact their overall performance. Developing GVC capability is a challenge for MNEs. This study aims to examine the influence of global risk management capability on MNEs' GVC capability to become more resilient to withstand such crises and further enhance their performance. Building on the resource-based view (RBV), dynamic capability view (DCV), and the existing literature, a conceptual research model was prepared. The model was then validated using the PLS-SEM technique to analyze the responses of the 323 managers at different MNEs. The study found a significant positive impact of global risk management capability on GVC capability, which eventually impacted MNE performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{siachou_2925,

title = {Is humility in leadership a promoter of employee voice? A moderated mediation model},

author = {Evangelia Siachou and Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Minas Kastanakis and Markella Barouta},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0263237324000148},

year  = {2024},

date = {2024-02-01},

journal = {European Management Journal},

abstract = {Purpose: In this study, we provide a better understanding of the role of leader humility in employee voice by

examining simultaneously the mediating role of intention to share knowledge and the moderating role of

organizational tenure.

Design/methodology: We developed and tested a mediated moderation model. The study hypotheses were tested

with partial least squares structural equation modeling techniques.

Findings: Results from 309 medical representatives supported the study hypotheses, indicating that leader humility

is related to employee voice via intention to share knowledge, and this relationship is stronger for shortertenured

employees than for longer-tenured ones. The study also provides implications for both theory and

practice.

Practical implications: The study provides empirical evidence in support of the positive effect of leader humility on

employee voice. Therefore, we suggest that executive administration should pay particular attention to promoting

humility in leadership to appropriately manage extra-role behavior such as employee voice.

Originality: Recently, leader humility has attracted scholarly attention in organization studies. It is considered a

key antecedent of employees' extra-role behavior and a contextual factor that is associated with many positive

employee and organizational outcomes.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}