Publication

@article{zalan_3108,

title = {A nascent market for digital assets: Exploration of consumer value of NFTs},

author = {Tatiana ZALAN and Elissar Toufaily},

url = {https://www.sciencedirect.com/science/article/pii/S2666954424000127?via%3Dihub},

year  = {2024},

date = {2024-12-01},

journal = {Digital Business},

volume = {4},

number = {2},

pages = {100084},

abstract = {Despite widespread academic and practitioner interest in non-fungible tokens (NFTs) as a form of digital assets, little is known about how consumers perceive NFT value. This exploratory research investigates why people create, trade or collect NFTs, what value they derive from them, and how online communities contribute to value co-creation. Over the course of two rounds, we interview 38 participants, most of whom are digital natives. We find that engaging with NFTs is the new form of day trading, reflecting financialization of everyday life. The value of NFTs is mainly speculative and utilitarian, and NFTs themselves are best thought of as derivatives. Value co-creation in NFT project communities is largely focused on gaining superior information about the project. We contribute to the crypto-marketing and web3 literature by advancing a novel model of NFT consumer value that extends Holbrook's (1999) typology and distinguishes both positive and negative aspects of consumer value that have been overlooked in mainstream literature. We shed light on the role of communities in an unusual setting: a nascent, illiquid, speculative, informationally opaque market for digital assets. Our study helps creators and brand managers to develop effective NFT strategies.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chu_3041,

title = {An improved equilibrium efficient frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs},

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

url = {https://www.sciencedirect.com/science/article/pii/S0377221724004314},

year  = {2024},

date = {2024-10-01},

journal = {European Journal Of Operational Research},

volume = {318},

number = {2},

pages = {592-604},

abstract = {In recent years, significant development has been made in efficiency evaluation for Decision-Making Units (DMUs) with fixed-sum outputs. The Generalized Equilibrium Efficient Frontier Data Envelopment Analysis (GEEFDEA) approach introduced by Yang et al. (2015) is one of the most representative methods. In the GEEFDEA approach, all DMUs are adjusted to become efficient under the same set of weights, indicating that the Equilibrium Efficient Frontier (EEF) constructed consists of only one hyperplane. However, in practical scenarios under the Variable Return to Scale (VRS) assumption, the production frontier always consists of multiple hyperplanes, presenting a more complex shape. To fill this research gap, we propose an improved Equilibrium Efficient Frontier Data Envelopment Analysis approach. Our approach allows DMUs to have different weights for inputs, variable-sum outputs, and fixed-sum outputs, resulting in an EEF with multiple hyperplanes. It is noted that our new approach uses a non-linear model to obtain the EEF. We show that the model can be linearized in the case of a single fixed-sum output. In situations involving multiple fixed-sum outputs, we propose an algorithm based on the Expectation Maximization (EM) mechanism to solve the model to obtain an EEF. Finally, we illustrate the advantages of our new approach through a numerical example and a case study in the global motor vehicle industry.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{meng_3010,

title = {Consensus adjustment for multi-attribute group decision making based on cross-allocation},

author = {Fan-Yong Meng and Deng-Yu Zhao and Zai-Wu Gong and Jun-Fei Chu and Witold Pedrycz and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0377221724003400},

year  = {2024},

date = {2024-10-01},

journal = {European Journal Of Operational Research},

volume = {318},

number = {1},

pages = {200-216},

abstract = {Consensus adjustment is crucial in group decision making (GDM), aiming to reduce discrepancies in decision makers' (DMs') judgments for final decision results. The consensus adjustments made by DMs are interactive rather than independent. However, few studies investigate the consensus adjustment problem from the perspective of interactions among DMs. This study first constructs a model to determine the total minimum consensus adjustment under the requirements of consensus threshold and individual-collective judgment bias. Then, a consensus adjustment approach based on cross-allocation scheme is proposed to address the inconsistency between individual and collective minimum adjustments, which concerns all DMs' individual favorable allocation results under the total minimum consensus adjustment. The cross-allocation scheme ensures unanimous support for the same allocation result among all rational DMs, thereby eliminating the discrepancies among them. Subsequently, the optimization model-based minimum consensus judgment penalty is formulated to handle the non-cooperative behaviors of DMs. Furthermore, we show how to determine the unique consensus adjustment result for the non-cooperative DMs using the cross-allocation scheme. Therefore, our study contributes by developing a new GDM method that conducts consensus adjustment allocation by considering interactions among DMs. Finally, a case study is employed to demonstrate the specific application of the new method and discuss its efficiency. Meanwhile, comparison analysis and simulation experiments are provided.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{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{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{de_grazia_3030,

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

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

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

year  = {2024},

date = {2024-09-01},

journal = {Research Policy},

volume = {53},

number = {7},

pages = {105033},

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{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{benlemlih_3106,

title = {Low-carbon movement and stock market uncertainty: Insights from international comparisons between fossil fuel companies},

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

url = {https://www.sciencedirect.com/science/article/pii/S0140988324004547?dgcid=coauthor},

year  = {2024},

date = {2024-08-01},

journal = {Energy Economics},

volume = {136},

pages = {107746},

abstract = {We study the effect of investor attention to a low-carbon movement?the fossil fuel divestment movement?on stock volatility of fossil fuel companies from both developing and developed countries. Investor attention to this justice movement is measured by the weekly intensity of the Google search for the topic ?fossil fuel divestment?. We employ a sample of 8 regional equity indices that exclusively comprise fossil fuel-related stocks over the 2012-2021 period. We find that investor attention to the fossil fuel divestment movement is positively and significantly related to the realized and conditional volatility of fossil fuel companies from both developing and developed countries. These findings contribute to improve our collective understanding of the implications of climate protection movement on energy sector in both developed and developing countries.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shakir_3063,

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

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

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

year  = {2024},

date = {2024-08-01},

journal = {Ieee Photonics Journal},

volume = {16},

number = {4},

pages = {1 - 15},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nguyen_3086,

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{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{tao_3056,

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

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

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

year  = {2024},

date = {2024-08-01},

journal = {Energy Economics},

volume = {136},

pages = {107719},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{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{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{anastasiou_3097,

title = {Analysing the Effects of Climate Risk on Discouraged Borrowers: Deciphering the Contradictory Forces},

author = {Dimitrios Anastasiou and Antonis Ballis and Christos Kallandranis and Faten Lakhal},

url = {https://onlinelibrary.wiley.com/doi/epdf/10.1111/risa.15071},

year  = {2024},

date = {2024-07-01},

journal = {Risk Analysis},

pages = {1-17},

abstract = {We examine the impact of climate risk on discouraged borrowers among SMEs in the eurozone, using a unique European Central Bank dataset focusing on the demand side of credit markets. We argue that two opposing channels may exist in this relationship: either climate risk has a negative effect stemming from increased demand for sustainable or climate-resilient projects that enhance creditworthiness, or climate risk has a positive effect arising from heightened climate uncertainty and risk aversion, leading to credit self-rationing among SMEs. Our findings reveal that heightened climate risk prompts SMEs to self-ration credit, leading to higher probabilities of discouraged borrowers. Our research deepens the understanding of the impact of climate risk on credit-related decisions, stressing the need for proactive measures to integrate climate risk assessments into regulatory frameworks and lending practices. The findings underscore the vulnerability of SMEs to climate risk, emphasizing emphasising the importance of tailored support mechanisms for economic resilience.},

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{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{sokolova_3091,

title = {Using social media for health: How food influencers shape home-cooking intentions through vicarious experience},

author = {Karina Sokolova and Charles Perez and Saeedeh Rezaee Vessal},

url = {https://www.sciencedirect.com/science/article/pii/S0040162524002580?via%3Dihub},

year  = {2024},

date = {2024-07-01},

journal = {Technological Forecasting And Social Change},

volume = {204},

pages = {123462},

abstract = {Social media influencers have gained significant popularity particularly within marketing research. However, their impact extends beyond purchase decision making, as they also have the potential to influence attitudes and behaviors through the lifestyles they promote in their content. This study aims to explore the role of influencers in promoting healthier habits, with a specific focus on home-cooking. By investigating how influencers can generate vicarious experiences through recipe content, we aim to understand their impact on individuals' intentions to cook at home. Grounded in social influence theory, we build an original research model that we evaluate using self-reported data obtained from 213 French female social media users and the partial least squares approach. The findings of our study reveal that positive vicarious experiences are driven by the followers' parasocial relationship with influencers, a sense of social belonging, and the entertainment factor of the observed behavior. These experiences help shaping followers' intentions to imitate the influencer's behavior, such as cooking the recipes they propose. Additionally, we found that the attractiveness of the recipes, the followers' inclination towards novelty seeking, and their own cooking experience all contribute positively influencing this intention. Overall, our study sheds light on the ability of influencers to exert influence beyond purchase intentions. They possess the power to make a positive impact on their followers' behavior by providing an immersive vicarious experiences and encouraging a shift towards healthier habits, such as home-cooking.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{khan_3083,

title = {Information asymmetry and investment efficiency: the role of blockholders},

author = {Mubashir Ali Khan and Josephine Tan-Hwang Yau and Aitzaz Ahsan Alias Sarang and Ammar Ali Gull and Muzhar Javed},

url = {https://www.emerald.com/insight/content/doi/10.1108/JAAR-05-2023-0123/full/html},

year  = {2024},

date = {2024-07-01},

journal = {Journal of Applied Accounting Research},

abstract = {Purpose - This study aims to examine the extent to which information asymmetry affects investment

efficiency and whether the presence of blockholders moderate this relationship.

Design/methodology/approach - We employ the data of firms listed on the Malaysian stock exchange for

the period 2010-2018, to compose our sample. Our final sample includes the 100 largest non-financial firms

based on market capitalization. Collectively, these 100 companies contribute 84.2% to the total market

capitalization (MYR 1,730bn) which is representative of the whole market. The ordinary least squares

regressions were used as the main estimation technique. The system generalized method of moments, twostage least squares and propensity score matching were also used, to address potential endogeneity

concerns.

Findings - We document a positively significant association of information asymmetry with investment

inefficiency. These results imply that information asymmetry reduces investment efficiency and enhances suboptimal investments. We also document that blockholders negatively moderate the relationship of information

asymmetry with investment inefficiency. Further analyses show that investment inefficiency is higher in lowgrowth firms than in high-growth firms because of higher information asymmetry.

Research limitations/implications - We focus on Malaysia, which is a predominantly common-law

Anglo-Saxon country. Graff (2008) documented that the investors are treated differently across legal

systems and there are differences between the continental European and Anglo-Saxon countries. La Porta

et al. (1999) documented that investors tend to have more legal protection in Anglo-Saxon countries.

Therefore, our results may not be generalized to countries with different legal systems.

Practical implications - An important implication of our findings is that stakeholders may encourage the

presence of blockholders and give them a voice to weaken the positive relationship between information

asymmetry and investment inefficiency.

Originality/value - This study contributes to the contingency literature by investigating the moderating

effect of an important governance mechanism, i.e. the presence of blockholders on information asymmetryinvestment efficiency nexus. Despite being important, this moderating effect has been largely overlooked in the

literature. Our study contributes by providing an understanding of how blockholders can influence investment

decisions, offering insights for academics, investors and policymakers focused on improving the efficacy of

investment decisions and governance structure.},

keywords = {},

pubstate = {online},

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{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{dornaika_2943,

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

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

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

year  = {2024},

date = {2024-07-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {133},

number = {Part D},

pages = {108336},

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



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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{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{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{benlemlih_2536,

title = {Financial Analyst Coverage and Corporate Environmental Disclosure},

author = {Mohammed Benlemlih and Mohammad Bitar and Imane El Ouadghiri and Jonathan Peillex},

url = {https://onlinelibrary.wiley.com/doi/10.1111/1467-8551.12776},

year  = {2024},

date = {2024-07-01},

journal = {British Journal Of Management},

volume = {35},

number = {3},

pages = {1609-1631},

abstract = {Consistent with the monitoring function played by financial analysts, we find that greater analyst coverage leads to the same extent of improvement in the quantity and quality of environmental information disclosed by the firm. This result is remarkably robust after conducting a difference-in-differences analysis that exploits brokerage closures and mergers as an exogenous decrease in analyst coverage, as well as using an instrumental variable approach. The positive influence of analyst coverage on corporate environmental disclosure is particularly evident for firms that cause high environmental damage, firms with low information asymmetry and those followed by analysts with superior experience, accuracy and reputation. Taken together, our empirical findings provide new insights into the bright side effect of analyst coverage on corporate environmental-related activities.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bouzbib_2109,

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

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

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

year  = {2024},

date = {2024-07-01},

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

volume = {30},

number = {7},

pages = {3973-3980},

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gould_3072,

title = {You May Not Be a Liar, but Are You Worth Listening To?},

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

url = {https://rbr.business.rutgers.edu/sites/default/files/documents/rbr-090104.pdf},

year  = {2024},

date = {2024-06-01},

journal = {Rutgers Business Review},

volume = {9},

number = {1},

pages = {31-39},

abstract = {Within workplaces, deployment of words and phraseology is the most

consequential medium through which executives establish their reputation - a point also generally true for other workplace actors. Moreover, ultimately, organizational performance, irrespective of its measure, substantially depends on internal communication. Despite such import, managerial advice addressing this matter is threadbare and, where it exists, is inclined to be unhelpfully generic. This article presents, updates and operationalizes an ancient framework for executive language use which has straightforward workplace application.},

note = {publication sans DOI, revue non classée},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dabaghi_3076,

title = {Structure-preserving reduced order model for parametric cross-diffusion systems},

author = {Jad Dabaghi and Virginie Ehrlacher},

url = {https://doi.org/10.1051/m2an/2024026},

year  = {2024},

date = {2024-06-01},

journal = {Esaim-Mathematical Modelling And Numerical Analysis-Modelisation Mathematique Et Analyse Numerique},

volume = {58},

number = {3},

pages = {1201-1227},

abstract = {In this work, we construct a structure-preserving Galerkin reduced-order model for the

resolution of parametric cross-diffusion systems. Cross-diffusion systems are often used to model the

evolution of the concentrations or volumic fractions of mixtures composed of different species, and can

also be used in population dynamics (as for instance in the SKT system). These systems often read

as nonlinear degenerated parabolic partial differential equations, the numerical resolutions of which

are highly expensive from a computational point of view. We are interested here in cross-diffusion

systems which exhibit a so-called entropic structure, in the sense that they can be formally written as

gradient flows of a certain entropy functional which is actually a Lyapunov functional of the system.

In this work, we propose a new reduced-order modelling method, based on a reduced basis paradigm,

for the resolution of parameter-dependent cross-diffusion systems. Our method preserves, at the level

of the reduced-order model, the main mathematical properties of the continuous solution, namely

mass conservation, non-negativeness, preservation of the volume-filling property and entropy-entropy

dissipation relationship. The theoretical advantages of our approach are illustrated by several numerical

experiments.},

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 = {2024-06-01},

journal = {Studies in Applied Mathematics},

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 = {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},

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 = {online},

tppubtype = {article}

}

@article{kadri_3073,

title = {Study of composite polymer degradation for high pressure hydrogen vessel by machine learning approach},

author = {Kheireddine Kadri and Achraf Kallel and Guillaume Guérard and Abir Ben Abdallah and Joseph Fitoussi and Sebastien Ballut and Mohammadali Shirinbayani},

url = {https://doi.org/10.1002/est2.645},

year  = {2024},

date = {2024-06-01},

journal = {Energy Storage},

volume = {6},

number = {4},

pages = {e645},

abstract = {The aim of this paper is to study the degradation of a composite material under static pressure. The high pressure condition is similar to the one encountered inside hydrogen  tanks. Damage modeling was used to evaluate the behavior of hydrogen tanks to high pressure. A practical approach, coupling a finite element method (FEM) simulation and machine learning algorithm (ML), is suggested. The representative volume element (RVE) was used in association with a choice of a behavior law and a damage law as an input data. Algorithms for ML classification such as K-nearest neighbors (k-NN) and a special k-NN with a dynamic time warping (DTW) metric were used. The hierarchical clustering through dendrograms visualizations allowed to exhibit the impact of composite parameters in relation to fiber, matrix properties and  fiber volume fraction on the strain degradation under external static pressure. Continuing this, the optimum RVE which shows a low degradation value will be exhibited.},

note = {Scimagojr Q3 en Energy},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{modgil_3059,

title = {Blockchain-enabled supply chain finance strategies for a circular economy revolution},

author = {Sachin Modgil and Shivam Gupta and Bobo Zhang and Surajit Bag},

url = {https://onlinelibrary.wiley.com/doi/epdf/10.1002/bse.3853},

year  = {2024},

date = {2024-06-01},

journal = {Business Strategy And The Environment},

abstract = {This study is centred on introducing a distinctive landscape towards a circular economy powered by blockchain?enabled supply chain finance strategies. Our research examines five cases engaged in helping organisations achieve their circular economy targets. The objective is to establish a comprehensive framework for circular economy. Within these secondary data?based case studies, we identify the challenges faced by a typical linear economy and how modern and blockchain?driven platforms are helping businesses contribute to the circular economy. The outcome of our study proposes a three?step approach unveiling blockchain technologies, supply chain finance strategies and enablers of circular economy contributing to 10R principles. Our study underscores how these cases across the globe can serve as valuable examples to other organisations, encompassing sectors from manufacturing to core?service based such as e?commerce. These sectors involve complex supply chains, and hence, blockchain?enabled supply chain finance strategies can be a solution to foster a circular economy. In conclusion, our research not only provides theoretical and practical insights and implications for policymakers but also lays the groundwork for potential future research in this domain.},

keywords = {},

pubstate = {online},

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{depoers_3032,

title = {Does ownership structure drive the effect of CEO overconfidence on earnings quality?},

author = {Florence Depoers and Faten Lakhal},

url = {https://www.emerald.com/insight/content/doi/10.1108/JAAR-10-2022-0265/full/pdf?title=does-ownership-structure-drive-the-effect-of-ceo-overconfidence-on-earnings-quality},

year  = {2024},

date = {2024-06-01},

journal = {Journal of Applied Accounting Research},

abstract = {Purpose - The purpose of this paper is to examine the effect of chief executive officer (CEO) overconfidence on

earnings quality and the moderating role of ownership structure as a crucial corporate governance device.

Design/methodology/approach - The paper uses the generalized method of moments (GMM) estimation

method to test our models on a sample of 335 French companies between 2009 and 2020, i.e. 4,020 observations.

Findings - The results show that CEO overconfidence negatively affects earnings quality. This result

supports the predictions of behavioral finance theory and suggests that CEO overconfidence is a behavioral

bias that affects the quality of earnings. The authors also examined the effect of different types of ownership

structures on this relationship. The results show the significant role of controlling shareholders, owner-

managers, families and institutional investors in mitigating the negative effect of CEO overconfidence on

earnings quality.

Research limitations/implications - This paper has some limitations. First, other types of ownership

structures could have been analyzed such as state ownership. Second, we ignored the role of the board of

directors as an important governance mechanism in controlling overconfident CEOs' actions.

Practical implications - Companies should be aware of the potential risks associated with CEO

overconfidence, which can compromise the faithful representation of earnings. This highlights the importance

of effective monitoring and internal controls to detect and prevent such practices, which involve the role of

ownership structure.

Originality/value - This paper addresses the effect of CEO overconfidence on earnings quality and provides

new evidence on the role of different ownership structure types in shaping this relationship. Additionally, this

paper sheds new light on how overconfident CEOs may behave in challenging times.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}