Data Science, Digital Transformation, Risks & Complex Systems

@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{chaudhary_2935,

title = {A study of ?organizational identification? during 1965-2022: a bibliometric analysis},

author = {Swati Chaudhary and Aditi Gupta and Apoorva A. and Ranjan Chaudhuri and Vijay Pereira and Sheshadri Chatterjee and Sumana Chaudhuri},

url = {https://www.emerald.com/insight/content/doi/10.1108/IJOA-10-2023-4025/full/html},

year  = {2024},

date = {2024-05-01},

journal = {International Journal of Organizational Analysis},

abstract = {Purpose

This paper aims to examine the evolution of organizational identification (OI) research over the past five decades and its journey through various lenses, such as the collaborative network of authors, organizations and countries. The conceptual and intellectual structure of the construct is analysed via keywords and co-citation pattern mapping.



Design/methodology/approach

OI research is rising in popularity, with 118 papers published in 2019, 168 papers in 2020 and 15 publications till February 2021 in the Scopus database. The Scopus database is used to retrieve 55?years of OI studies published between 1965 and 2021. The free bibliometric tools Biblioshiny and VOSviewer are used to analyse 1,034 journal papers.



Findings

The result showed that R. Van Dick is the most influential author and the USA is the most involved country in OI research. As per the findings, the Journal of Organizational Behaviour published most of OI research and ?corporate social responsibility? and ?organizational commitment? seem to be the most used keywords alongside OI.



Research limitations/implications

This study will be highly beneficial to OI researchers making their understanding about the construct better. It will also encourage social psychologists to understand the construct utility in workplace social welfare programmes. The research could also help governments and funding bodies to evaluate grant requests. Furthermore, researchers from countries with the lowest proportion of OI studies would be encouraged to spend more time and effort in this area. It will offer insight into international marketing and how individuals and stakeholders perceive and connect with an organization globally.



Originality/value

To the best of the authors' knowledge, this study is one of the important research studies carried out in the domain of OI in the international context. This is also one of the few studies which is spread out across different disciplinary areas including international marketing and management. The success of this paper can open avenues and influence future researchers to study in the OI and related cross-disciplinary areas of international management.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{halconruy_2423,

title = {On a projection least squares estimator for jump diffusion processes},

author = {Hélène Halconruy and Nicolas Marie},

url = {https://link.springer.com/article/10.1007/s10463-023-00881-7

Lien donnant accès à l'article :

https://rdcu.be/dlTH4},

year  = {2024},

date = {2024-04-01},

journal = {Annals Of The Institute Of Statistical Mathematics},

volume = {76},

pages = {209-234},

abstract = {This paper deals with a projection least squares estimator of the drift function of a jump diffusion process X computed from multiple independent copies of X observed on [0, T]. Risk bounds are established on this estimator and on an associated adaptive estimator. Finally, some numerical experiments are provided.},

note = {Publié uniquement en ligne (donc pas d'issue, volume)},

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},

number = {April 2024},

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{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{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 = {2024-03-01},

journal = {Risk Analysis},

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 = {online},

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},

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{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},

number = {Feb. 2024},

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{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 = {2024-02-01},

journal = {Business Strategy And The Environment},

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 = {online},

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}

}

@article{wang_2928,

title = {Examining the linkage between economic policy uncertainty, coal price, and carbon pricing in China: Evidence from pilot carbon markets},

author = {Jiqiang Wang and Peng-Fei Dai and Xihui Haviour Chen and Duc Khuong Nguyen},

url = {https://www.sciencedirect.com/science/article/pii/S0301479723027913},

year  = {2024},

date = {2024-02-01},

journal = {Journal Of Environmental Management},

volume = {352},

pages = {120003},

abstract = {Economic policies affect companies' production decisions. And the energy consumption volume is an intuitive reflection of the enterprise's production decisions. In China, coal is the main source of carbon emissions and the most important energy source. Therefore, the coal market and the uncertainty of economic policies are both directly tied to the carbon market. This study explores both the direct impact of economic policy uncertainty and coal price on carbon prices as well as the indirect impact of economic policy uncertainty on carbon prices through coal prices by utilizing the DCC-GARCH model and the NARDL model. The findings indicate that the dynamic correlations between coal prices and the CEPU are always negative and that those between the price of carbon and the CEPU vary by area. Meanwhile, the dynamic correlations between coal and carbon prices are only positive in Shenzhen and Beijing. Both coal prices and economic policy uncertainty produce asymmetrical impacts on carbon prices. Some policy implications are provided for developing the carbon markets in light of the results drawn from the study.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{salhi_2456,

title = {Convergence analysis of a class of iterative methods for propagation of reaction fronts in porous media},

author = {Loubna Salhi and Mohammed Seaid and Driss Yakoubi},

url = {https://www.sciencedirect.com/science/article/pii/S0045782523006485?dgcid=author},

year  = {2024},

date = {2024-01-01},

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

volume = {418},

number = {Part A},

pages = {116524},

abstract = {We present an iterative scheme for the numerical analysis of propagating reaction front problems in porous media satisfying an Arrhenius-type law. The governing equations consist of the Darcy equations for the pressure and flow field coupled to two convection-diffusion-reaction equations for the temperature and depth of conversion.

 Well-posedness, existence and uniqueness of the weak solution are first studied using a fixed-point approach and then, analysis of the proposed iterative scheme is investigated. Numerical results are also presented in order

to validate the theoretical estimates and to illustrate the performance of the proposed scheme.

The obtained results are in line with our expectations for a good numerical resolution with high accuracy and stability behaviors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kefi_2503,

title = {Toward Museum Transformation: From Mediation to Social Media-tion and Fostering Omni-visit Experience},

author = {Hajer Kefi and Ekatarina Besson and Yue Zhao and Sali FARRAN},

url = {https://www.sciencedirect.com/science/article/pii/S0378720623001386},

year  = {2024},

date = {2024-01-01},

journal = {Information & Management},

volume = {61},

number = {1},

pages = {103890},

abstract = {This article investigates the role played by Information and Communications Technology (ICT) and specifically social media in reshaping the mediation (?Kulturvermittlung') processes enacted by museums along with their digital transformation. We apply a multi-methods research design, including qualitative research conducted within a selection of museums in France, an intercept study at Le Louvre Museum (Paris, France) and finally an online survey. Our findings concurrently put forward the concept of social mediation and illustrate the changing role of museum mediation processes that imply the transformation of visitor experience from a receptive format (consuming informative and entertaining content) to an interactive and collaborative format, through the use of social media and other ICT tools deployed and used complementarily to fulfill visitors needs and gratifications and foster what we call the visitor ?omni-visit experience'. Both theoretical and managerial implications are considered.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{froidevaux_2543,

title = {Addressing Wildlife Exposure to Radiofrequency Electromagnetic Fields: Time for Action},

author = {Jérémy Froidevaux and Laura Recuero Virto and Marek Czerwinski and Arno Thielens and Kirsty J. Park},

url = {https://pubs.acs.org/doi/10.1021/acs.estlett.3c00795},

year  = {2024},

date = {2024-01-01},

journal = {Environmental Science & Technology Letters},

volume = {11},

number = {1},

pages = {3-4},

abstract = {With the rapid global expansion of mobile communication networks and the introduction of new radiofrequencies, especially above 6 GHz with the emergence of 5G/6G technology, there is an urgent requirement to investigate and tackle the possible effects of radiofrequency electromagnetic field emissions on wildlife. Here, we highlight (i) the pressing need for robust research on this topic, (ii) the inadequacy of existing guidelines from the International Commission for Non-Ionizing Radiation Protection, which solely address human health, and (iii) the lack of attention given to wildlife exposure to radiofrequency electromagnetic field levels when creating and/or restoring wildlife habitats and deploying new radiofrequency electromagnetic field sources. We call for a common worldwide agenda that would prioritize research on wildlife exposure to radiofrequency electromagnetic fields and for an independent international organization to address this issue. Finally, we provide key recommendations aimed at reducing wildlife exposure to radiofrequency electromagnetic fields while awaiting further evidence.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{saba_2573,

title = {Different IT projects but the same conflicts. Action research during IT deployment},

author = {Peter Saba and Régis Meissonier and Antoine Harfouche},

url = {https://link.springer.com/journal/10796},

year  = {2024},

date = {2024-01-01},

journal = {Information Systems Frontiers},

abstract = {Information System (IS) research has overlooked user conflicts in teams among simultaneous or successive Information Technology (IT) projects, leaving a gap in comprehending the potential contagion processes leading to project failure. While IS literature has separately developed theories on conflicts and conflict contagion, we conceptualize a whole theoretic system we call "IT Conflict Contagion" (IT-CC). This theory is used as a driver for a 2-year action research project conducted at a French management consulting firm during the second attempt of its Business Intelligence (BI) tool baptized ?PMT.? While most MIS methods tend to manage conflicts within the boundaries of an IT project, we emphasize the need for a comprehensive understanding of past IT implementations and their impact on subsequent projects despite the different aims, designs, and functionalities of these IT systems. This research calls for IS researchers and practitioners to adopt a holistic conflict management perspective, considering the IT portfolio and the interplay between various IT systems to ensure successful IT implementation.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{srivastava_2832,

title = {Exploring the Potential of Large Language Models in Supply Chain Management: A Study Using Big Data},

author = {Santosh Kumar Srivastava and Susmi Routray and Surajit Bag and Shivam Gupta and Justin Zuopeng Zhang},

url = {https://www.igi-global.com/article/exploring-the-potential-of-large-language-models-in-supply-chain-management/335125},

year  = {2024},

date = {2024-01-01},

journal = {Journal Of Global Information Management},

volume = {32},

number = {1},

pages = {1-29},

abstract = {This study aims to identify emerging topics, themes, and potential areas for applying large language models (LLMs) in supply chain management through data triangulation. This study involved the synthesis of 33 published articles and a total of 3421 social media documents, including tweets, posts, expert opinions, and industry reports on utilizing LLMs in supply chain management. By employing BERT models, four core themes were derived: Supply chain optimization, supply chain risk and security management, supply chain knowledge management, and automated contract intelligence, which provides the present status of LLM in the supply chain. The results of this study will empower managers to identify prospective applications and areas for improvement, affording them a comprehensive understanding of the antecedents, decisions, and outcomes detailed in the framework. The insights garnered from this study are highly valuable to both researchers and managers, equipping them to harness the latest advancements in LLM technology and its role within supply chain management.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2836,

title = {Unveiling the impact of carbon-neutral policies on vital resources in Industry 4.0 driven smart manufacturing: A data-driven investigation},

author = {Surajit Bag and Muhammad Sabbir Rahman and Sneha Ghai and Santosh Kumar Srivastava and Rajesh Kumar Singh and Ruchi Mishra},

url = {https://www.sciencedirect.com/science/article/pii/S0360835223008227},

year  = {2024},

date = {2024-01-01},

journal = {Computers & Industrial Engineering},

volume = {187},

pages = {109798},

abstract = {The study aims to empirically examine the effect of carbon-neutrality policies on the key resources needed for Industry 4.0 driven smart manufacturing and how these resources can provide a sustainable competitive advantage. The theoretical framework is integrated with the institutional theory and the resource-based view (RBV). The empirical method is used for collecting data through surveys and further covariance-based structural equation modeling is used to test the hypotheses. Findings indicate that carbon-neutral-based government policies have a stronger influence on tangible resources and human skills than intangible resources related to Industry 4.0 driven smart manufacturing. Second, carbon-neutral policy alignment with the firm's sustainability objectives plays a moderating effect on the relationship between carbon-neutral-based government policies and resources (tangible, intangible resources and human skills) for Industry 4.0 driven smart manufacturing. Lastly, the three resources (tangible, intangible resources and human skills) for Industry 4.0 driven smart manufacturing play a critical role in developing firms' carbon-neutral capability and further enhancing operational performance. Managerial implications include investment in advanced digital technologies, developing a strong mindset among employees and supply chain stakeholders, and designing training programs for enhancing smart manufacturing performance to develop carbon-neutrality capability. This study proposes a hybrid theory in the context of carbon neutrality by integrating institutional theory and RBV. This is the first study that examines the effect of carbon neutrality-based government policies on vital Industry 4.0-driven smart manufacturing resources and the indirect effect on carbon neutrality capability and operational 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 = {2024-01-01},

journal = {Business Strategy And The Environment},

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 = {online},

tppubtype = {article}

}

@article{chaudhuri_2919,

title = {External environment and internal dynamics of ?born global?: strategic and operational firm performance},

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

url = {https://www.emerald.com/insight/content/doi/10.1108/MD-02-2023-0168/full/html},

year  = {2024},

date = {2024-01-01},

journal = {Management Decision},

volume = {62},

number = {1},

pages = {274-300},

abstract = {Purpose

?Born global firms? are those organizations which, from their inception and by nature, adopt an essentially global-scale entrepreneurial functional and attitudinal strategy for growth. They seek to gain significant competitive advantage by utilizing their internal resources while leveraging external environment potentialities, to sell their outputs internationally. The aim of this research is to investigate the influence of the external business environment and the dynamic capabilities of born global firms, on their strategic and operational performance, as well as the role of leadership vision on their internationalization performance.



Design/methodology/approach

Initially and resting on extant literature with pertinent foci, including the absorptive capacity and the dynamic capability view theories, a conceptual model is proposed. Subsequently, the model is validated through the partial least square structural equation modeling technique, based on 417 respondents from Indian firms.



Findings

The study concludes that the external business environment and internal dynamic capabilities of born global firms have a significant and positive impact on their strategic, as well as operational performance; with leadership vision playing a significant moderating role to this relationship. The study finally presents the executive implications of the findings and identifies the avenues for further scientific research.



Originality/value

This is a unique study on the topic, both in relation to resources/capabilities versus performance and with regards to the leadership vision's role. It moreover focuses on a primary business force, India, which comprises prime examples of global entrepreneurship. The research constituting a significant contribution to knowledge, as research on how small firms can strategically grow so rapidly and effectively, is still far from conclusive, particularly under the present evolutions that incessantly redefine the contextual business forces upon which strategy is drawn.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2920,

title = {Impacts of Industry 5.0 in Supply Chain Flow in Post COVID-19 Era: Moderating Role of Senior Leadership Support},

author = {Sheshadri Chatterjee and Ranjan Chaudhuri},

url = {https://link.springer.com/article/10.1007/s10796-023-10463-w},

year  = {2024},

date = {2024-01-01},

journal = {Information Systems Frontiers},

abstract = {Industry 5.0 involves human and machines reunion by working together to improve the efficiency of service and production process. Industry 5.0 helps to create platforms for better value cocreation and open business models. Such open business model supports in integrating organizational competencies and customers' preferences along with ensuring better services to meet the challenging needs of the tomorrows' business world. It is an upcoming field of research and not many studies are available to understand the consequences of Industry 5.0 in the context of ambidexterity and absorptive capacity of the organization, especially from supply chain flow perspective in post COVID-19 period. Also, not many studies are available which have investigated the role of senior leadership support to facilitate adoption of industry 5.0 and sustainability of supply chain management process in the post COVID-19 period. With the support of absorptive capacity theory and existing literature, a conceptual model has been developed which was later validated using PLS-SEM technique considering 378 respondents from different industries. The study found that there is a significant impact of absorptive capacity of the organization towards successfully using industry 5.0 related technologies which in turn positively and significantly influence sustenance of supply chain flow in post COVID-19 period. The study also found that senior leadership support is necessary to successfully adopt and use industry 5.0 for sustaining supply chain flow in the post COVID-19 period.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{toufaily_2803,

title = {Ecosystem Well-Being and Resilience: Lessons from Crisis Management in Service Organizations.},

author = {Elissar Toufaily and Tatiana ZALAN},

url = {https://doi.org/10.1080/1051712X.2023.2289875},

year  = {2023},

date = {2023-12-01},

journal = {Journal Of Business-To-Business Marketing},

volume = {30},

number = {4},

pages = {349-370},

abstract = {n this paper, we investigate the strategies and approaches adopted by service organizations to navigate a humanitarian crisis and the lessons learnt from the crisis to face a future one. Understanding the effect of a crisis triggered by health pandemic hazards on services delivery and management, organizational strategies for survival and recovery, and the recovery post-crisis, in terms of building organizational and ecosystem resilience, is the focus of this paper.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{maar_2324,

title = {Should brands foster their Instagram account followers' fear of missing out by posting ephemeral content?},

author = {Daniel Maar and Hajer Kefi and Mehmet A. Orhan},

url = {https://journals.sagepub.com/doi/10.1177/20515707231161808},

year  = {2023},

date = {2023-12-01},

journal = {Recherche et Application en Marketing},

volume = {38},

number = {4},

pages = {104-120},

abstract = {Several blogs and websites with a focus on social media marketing suggest that brands can benefit from fostering their Instagram account followers' fear of missing out (FoMO) by posting ephemeral content. Relying on an online survey with 550 followers of Instagram brand accounts and a scenario-based experiment with 535 participants, this article shows that content ephemerality triggers followers' FoMO, which increases brand account engagement and brand account fatigue. Brand account engagement (fatigue), in turn, positively (negatively) relates to brand attitude and brand attachment. Further analyses reveal that the total effect of followers' FoMO on brand attachment is positive and significant, while the total effect of FoMO on brand attitude is not significant. Moreover, content ephemerality has a negative and significant total effect on brand attitude. A key implication of these findings is that it is not beneficial for brands to foster their Instagram account followers' FoMO by posting ephemeral content.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gasmi_2391,

title = {An empirical analysis of economic growth in countries exposed to coastal risks: Implications for their ecosystems},

author = {Farid Gasmi and Laura Recuero Virto and Denis Couvet},

url = {https://doi.org/10.1016/j.ecosys.2023.101130},

year  = {2023},

date = {2023-12-01},

journal = {Economic Systems},

volume = {47},

number = {4},

pages = {101130},

abstract = {Using a novel database on countries exposed to coastal risks (CR), this paper estimates an augmented neoclassical growth model that encompasses eight other new growth models. To account for uncertainty related to the number of models and choice of growth determinant proxies, we use a Bayesian averaging of classical estimates (BACE) approach. A preliminary examination of the data reveals that a country that faces coastal risks is likely to be a former British colony characterized by a common law legal framework, a parliamentary political system, a high degree of international trade openness, little language and ethnic fractionalization, a low level of public sector corruption, and a high rate of fertility. The BACE-based model selection procedure shows that, in CR countries, the growth determinant proxies typically used in the neoclassical, macroeconomic policy, natural resources, and institutions theories are significantly correlated with growth. These results suggest two implications related to these countries' coastal ecosystems. First, because they are heavily dependent on natural resources and have high fertility rates, these countries might seek short-term economic gains at the expense of deterioration in their ecosystems. Second, these countries' good institutions and low levels of ethnic division might be conducive to sustainable management of these ecosystems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{halconruy_2424,

title = {The insider trading problem in a jump-binomial model},

author = {Hélène Halconruy},

url = {https://link.springer.com/article/10.1007/s10203-023-00412-2

Lien d'accès au papier 

https://rdcu.be/dlTFM},

year  = {2023},

date = {2023-12-01},

journal = {Decisions in Economics and Finance},

volume = {46},

pages = {379-413},

abstract = {We study insider trading in a jump-binomial model of the financial market that is based on a marked binomial process and that serves as a suitable alternative to some classical trinomial models. Our investigations focus on the two main questions: measuring the advantage of the insider's additional information and stating a closed form for her hedging strategy. Our approach is based on the results of enlargement of filtration in a discrete-time setting stated by Blanchet-Scalliet and Jeanblanc (in: From probability to finance, Springer, Berlin, 2020) and on a stochastic analysis for marked binomial processes developed in the companion paper (Halconruy in Electron J Probab 27:1-39, 2022). Our work provides in a discrete-time and an incomplete market setting the analogues of some results of Amendinger et al. (Stoch Process Appl 89(1):101-116, 2000; Finance Stoch 7(1):29-46, 2003), Imkeller et al. (1998, 2006) and extends in an insider framework some utility maximization results stated in Delbaen and Schachermayer (The mathematics of arbitrage, Springer, Berlin, 2006) and in Runggaldier et al. (in: Seminar on stochastic analysis, random fields and applications III, Springer, Berlin, 2002).},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{qin_2459,

title = {Strong financial regulation and corporate bankruptcy risk in China},

author = {Yi Qin and Duc Khuong Nguyen and Javier Cifuentes-Faura and Kaiyang Zhong},

url = {https://doi.org/10.1016/j.frl.2023.104343},

year  = {2023},

date = {2023-12-01},

journal = {Finance Research Letters},

volume = {58},

number = {Part B},

pages = {104343},

abstract = {This paper employs a difference-in-differences (DID) design to examine how strong financial regulation affects the bankruptcy risk of firms in China. Our research suggests that strong financial regulation significantly decreases corporate bankruptcy risk. The baseline conclusion withstands various robustness tests, ensuring its validity. Further analysis indicates that the reduction in corporate financialization and improvement in corporate liquidity serve as underlying mechanisms. This study promotes the theoretical and empirical understanding of the link between strong financial regulation and corporate risk.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{akyildirim_2481,

title = {Statistical arbitrage: factor investing approach},

author = {Erdinc Akyildirim and Ahmet Goncu and Alper Hekimoglu and Ahmet Sensoy and Duc Khuong Nguyen},

url = {https://link.springer.com/article/10.1007/s00291-023-00733-z},

year  = {2023},

date = {2023-12-01},

journal = {Or Spectrum},

volume = {45},

number = {-},

pages = {1295-1331},

abstract = {We introduce a continuous time model for stock prices in a general factor representation with the noise driven by a geometric Brownian motion process. We derive the theoretical hitting probability distribution for the long-until-barrier strategies and the conditions for statistical arbitrage. We optimize our statistical arbitrage strategies with respect to the expected discounted returns and the Sharpe ratio. Bootstrapping results show that the theoretical hitting probability distribution is a realistic representation of the empirical hitting probabilities. We test the empirical performance of the long-until-barrier strategies using US equities and demonstrate that our trading rules can generate statistical arbitrage profits.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{toufaily_2574,

title = {Ecosystem Well-Being and Resilience: Lessons from Crisis Management in Service Organizations},

author = {Elissar Toufaily and Tatiana ZALAN},

url = {https://www.tandfonline.com/eprint/BENMGRQVHA9IMWZQZV8K/full?target=10.1080/1051712X.2023.2289875},

year  = {2023},

date = {2023-12-01},

journal = {Journal Of Business-To-Business Marketing},

volume = {30},

number = {4},

pages = {349-370},

abstract = {Purpose

In this paper, we investigate the strategies and approaches adopted by service organizations to navigate a humanitarian crisis and the lessons learnt from the crisis to face a future one. Understanding the effect of a crisis triggered by health pandemic hazards on services delivery and management, organizational strategies for survival and recovery, and the recovery post-crisis, in terms of building organizational and ecosystem resilience, is the focus of this paper.



Design/Methodology/Approach

Using a qualitative research design which closely approximates the theory-in-use (TIU) approach (Zeithaml et al. 2020), we interview 47 elite informants from service organizations that were particularly severely impacted by the crisis. We follow Corbin and Strauss's (2014) procedure for analysis of the interviews (i.e., open, axial and selective coding) and Saldaña (2013) for thematic analysis.



Findings

Drawing on Transformative Service Research (TSR) and dynamic capabilities perspective, we develop an empirical framework of crisis management which focuses on dynamic co-creation of service ecosystem well-being and resilience. Service organization responses included 1) retrenchment and balancing supply and demand, 2) service re-design and provision, 3) imposed service innovations, 4) digital servitization and 5) rethinking business models. Aiding with the process of crisis management in the face of uncertainty are dynamic capabilities, including strategic flexibility, market orientation, customer centricity, transformational leadership, and technological/digital capabilities.



Originality/Value/Contribution

The study provides a novel applied framework which sheds light on how organizations that co-created value with other firms, suppliers, customers, stakeholders (the focus of B2B marketing) fundamentally transformed their services to fulfill human and ecosystem actors' needs, by placing well-being right at the center of their crisis management strategies. We combine the TSR lens on service ecosystem well-being and resilience with the dynamic capabilities perspective to explore how service organizations managed the COVID-19 crisis and what lessons can be learnt to face any future crisis. We argue that well-being and resilience are dependent on a service co-creation process that involves multiple ecosystem stakeholders at the individual, organizational, community and societal levels. We have built on Anderson's et al. (2013) and Chen et al. (2020) work to explore empirically how well-being can be co-created in time of crisis. The process of value co-creation, through the responses identified in our paper (e.g., digital servitization and imposed innovations), were adopted to provide physical, health, financial and social safety to the service ecosystem actors (primarily customers, employees, and managers) during the pandemic.



Practical implications

The findings contribute to the service marketing practice by identifying the managerial strategies that blend TSR and dynamic capabilities. The study provides an applied framework which sheds light on how organizations fundamentally transform their services to fulfill human and ecosystem actors' needs, by placing well-being right at the center of their crisis management strategies. Well-being became a function of fulfilling the most basic human needs (belonging, safety, security and hygiene) of customers, employees, managers and communities. Our research helps managers and decision-makers to identify the right strategies and capabilities needed to manage a crisis. Critically, managers should stress building the skills of market orientation, digitalization and strategic flexibility to manage uncertainty. Service organizations require flexible and integrative decision-makers who elevate service innovation to a core strategic issue to come out from a crisis.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{biancalani_2738,

title = {Nonlinear interaction of Alfvénic instabilities and turbulence via the modification of the equilibrium profiles},

author = {Alessandro Biancalani and Alberto Bottino and Daniele Del Sarto and Matteo Valerio Falessi and Thomas Hayward-Schneider and Philipp Lauber and Alexey Mishchenko and Brando Rettino and Juvert Njeck Sama and Francesco Vannini and Laurent Villard and Xin Wang and Fulvio Zonca},

url = {https://doi.org/10.1017/S0022377823001137},

year  = {2023},

date = {2023-12-01},

journal = {Journal Of Plasma Physics},

volume = {89},

number = {6},

pages = {905890602},

abstract = {Nonlinear simulations of Alfvén modes (AMs) driven by energetic particles (EPs) in

the presence of turbulence are performed with the gyrokinetic particle-in-cell code

ORB5. The AMs carry a heat flux, and consequently they nonlinearly modify the

plasma temperature profiles. The isolated effect of this modification on the dynamics

of turbulence is studied by means of electrostatic simulations. We find that turbulence

is reduced when the profiles relaxed by the AM are used, with respect to the simulation

where the unperturbed profiles are used. This is an example of indirect interaction of

EPs and turbulence. First, an analytic magnetic equilibrium with circular concentric flux

surfaces is considered as a simplified example for this study. Then, an application to an

experimentally relevant case of ASDEX Upgrade is discussed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{benabdellah_2835,

title = {Smart Product Design Ontology Development for Managing Digital Agility},

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

url = {https://www.igi-global.com/article/smart-product-design-ontology-development-for-managing-digital-agility/333599},

year  = {2023},

date = {2023-12-01},

journal = {Journal Of Global Information Management},

volume = {31},

number = {8},

pages = {1-34},

abstract = {Digital agility is a critical dynamic capability that is becoming increasingly important in the context of collaborative product development processes (PDPs). This paper aims to address the complexity of today's PDPs by considering various quality aspects including safety, environment, and the entire lifecycle, along with diverse dynamic capabilities such as digital agility and circular economy. The authors employed a semantic web methodology and created an ontology-based knowledge model. The proposed ontology uses Design for X techniques, circular economy, digital agility, and the semantic web under the PDP perspective to increase performance and cooperation between designers and the project team. To validate the ontology, measures for domain ontology evaluation have been used. The paper presents a detailed guide for ontology engineering and evaluation for collaborative smart PDP, which incorporates digital agility as a critical dynamic capability. The proposed ontology can help boost PDP performance and increase customer satisfaction.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2914,

title = {The consequences of innovation failure: An innovation capabilities and dynamic capabilities perspective},

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

url = {https://www.sciencedirect.com/science/article/pii/S0166497223001694?via%3Dihub},

year  = {2023},

date = {2023-12-01},

journal = {Technovation},

volume = {128},

pages = {102858},

abstract = {Organizations engage with innovation by leveraging their innovation capabilities and dynamic capabilities. In this study, we examined how organizational innovation capabilities and dynamic capabilities can influence organizational performance, taking into account cases when innovation projects do not yield beneficial outcomes to organizations. Building on the dynamic capability view and the notion of innovation capability, we developed a conceptual model and subsequently validated it by conducting a survey on a sample of organizations across multiple manufacturing and service industries that are based in India. By applying PLS-SEM, we found that different contextual factors including commercial viability and technological feasibility play a critical role towards innovation failure and success. In its turn, innovation failure negatively influences organizational performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2916,

title = {Examining the role of intellectual capital on knowledge sharing in digital platform-based MNEs and its impact on firm performance},

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

url = {https://www.sciencedirect.com/science/article/pii/S0040162523005942?via%3Dihub},

year  = {2023},

date = {2023-12-01},

journal = {Technological Forecasting And Social Change},

volume = {197},

pages = {122909},

abstract = {Non-market strategies are strategies that happen outside the marketplace. Despite their increasing relevance, they have been overlooked when studying digital platform-based enterprises. To address this gap, our study focuses on digital platforms and builds and tests hypotheses in relation to digital platform based MNEs. First, we identify several antecedents and consequences of the adoption of non-market strategies by digital platform-based multinational enterprises (MNEs). Secondly, after conducting a survey on 11 digital platform-based MNEs, we deploy the PLS-SEM technique to analyze the data. We find that intellectual capital positively influences digital platform-based MNE subsidiaries' knowledge sharing and seeking. This, in turn, positively influences coordination and cooperation that ultimately positively affect firm performance. This study makes several contributions. First, it suggests that the evolution of digital platform-based MNEs involves also non-market strategies. Second, it finds that intellectual capital is among the most relevant antecedents of the adoption of non-market strategies by digital platform-based MNEs. Third, it reveals that the adoption of non-market strategies by MNE subsidiaries is conducive to highest levels of firm performance for digital platform-based MNEs themselves. Last, it finds that coordination and cooperation represent enablers of the relationship between knowledge transfer and firm performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{belhamadia_2366,

title = {Existence and uniqueness for a convective phase change model with temperature-dependent viscosity},

author = {Youssef Belhamadia and Jean Deteix and Basma Jaffal-Moutarda and Driss Yakoubi},

url = {https://www.sciencedirect.com/science/article/pii/S0022247X23005620?via%3Dihub},

year  = {2023},

date = {2023-11-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {527},

number = {2},

pages = {127559},

abstract = {In this article, we consider a class of phase change model with temperature-dependent viscosity, convection and mixed boundary conditions on a bounded domain that reflect melting and solidification in a variety of real-world applications, such as metal casting and crystal growth. The mathematical model, which is based on the enthalpy formulation, takes into consideration the thermophysical differences between the liquid and solid states. The moving liquid-solid interface is explicitly fulfilled as the energy and momentum equations are solved over the full physical domain. Under particular assumptions, we derive various a priori estimates and prove well-posedness results. Numerical simulation of the model employed in the

paper is presented as an illustration of an example of a melting problem.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ayoub_2411,

title = {LoGE: an unsupervised local-global document extension generation in information retrieval for long documents},

author = {Oussama Ayoub and Christophe Rodrigues and Nicolas Travers},

url = {https://www.emerald.com/insight/content/doi/10.1108/IJWIS-07-2023-0109/full/html},

year  = {2023},

date = {2023-11-01},

journal = {International Journal of Web Information Systems},

volume = {19},

number = {5/6},

pages = {244-262},

abstract = {Purpose

This paper aims to manage the word gap in information retrieval (IR) especially for long documents belonging to specific domains. In fact, with the continuous growth of text data that modern IR systems have to manage, existing solutions are needed to efficiently find the best set of documents for a given request. The words used to describe a query can differ from those used in related documents. Despite meaning closeness, nonoverlapping words are challenging for IR systems. This word gap becomes significant for long documents from specific domains.



Design/methodology/approach

To generate new words for a document, a deep learning (DL) masked language model is used to infer related words. Used DL models are pretrained on massive text data and carry common or specific domain knowledge to propose a better document representation.



Findings

The authors evaluate the approach of this study on specific IR domains with long documents to show the genericity of the proposed model and achieve encouraging results.



Originality/value

In this paper, to the best of the authors' knowledge, an original unsupervised and modular IR system based on recent DL methods is introduced.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2420,

title = {Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm},

author = {Sheshadri Chatterjee and Ranjan Chaudhuri and Shivam Gupta and Uthayasankar Sivarajah and Surajit Bag},

url = {https://www.sciencedirect.com/science/article/pii/S0040162523005097},

year  = {2023},

date = {2023-11-01},

journal = {Technological Forecasting And Social Change},

volume = {196},

pages = {122824},

abstract = {There are various kinds of applications of BDA in the firms. Not many studies are there which deal with the impact of BDA towards issues like forecasting, decision-making, as well as performance of the firms simultaneously. So, there exists a gap in the research. In such a background, this study aims at examining the impacts of BDA on the process of decision-making, forecasting, as well as firm performance. Using resource-based view (RBV) as well as dynamic capability view (DCV) and related research studies, a research model was proposed conceptually. This conceptual model was validated taking help of PLS-SEM approach considering 366 respondents from Indian firms. This study has highlighted that smart decision making and accurate forecasting process can be achieved by using BDA. This research has demonstrated that there is a considerable influence of adoption of BDA on decision making process, forecasting process, as well as overall firm performance. However, the present study suffers from the fact that the study results depend on the cross-sectional data which could invite defects of causality and endogeneity bias. The present research work also found that there is no impact of different control variables on the firm's performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rettino_2737,

title = {Gyrokinetic modelling of non-linear interaction of Alfvén waves and EGAMs in ASDEX-Upgrade},

author = {Brando Rettino and Thomas Hayward-Schneider and Alessandro Biancalani and Alberto Bottino and Philipp Lauber and Markus Weiland and Francesco Vannini and Frank Jenko},

url = {https://doi.org/10.1088/1741-4326/ad0506},

year  = {2023},

date = {2023-11-01},

journal = {Nuclear Fusion},

volume = {63},

number = {12},

pages = {126051},

abstract = {Energetic particle (EP) dynamics and excitation of EP driven instabilities is an important topic

of study for the physics of fusion reactors. In this paper we consider EPs injected in the plasma

by neutral beams at high energies to heat it. EP species exist far from thermal equilibrium in the

form of anisotropic non-Maxwellian distribution functions. EP driven modes, such as Alfvén

waves (AWs) and EP driven geodesic acoustic modes (EGAMs), can redistribute EPs in

phase-space and harm confinement. We examine the effects of experimental-like anisotropic EP

distribution functions on the excitation and the non-linear coupling of such instabilities with the

gyrokinetic particle-in-cell code ORB5. The growth rate of EGAMs is found to be sensitively

dependent on the phase-space shape of the distribution function as well as on the non-linear

wave-wave coupling with AWs. Experimental findings are compared with numerical results.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2834,

title = {Climate change adaptation capability, business-to-business marketing capability and firm performance: Integrating institutional theory and dynamic capability view},

author = {Surajit Bag and Gautam Srivastava and Shivam Gupta and Justin Z. Zhang and Sachin Kamble},

url = {https://www.sciencedirect.com/science/article/pii/S0019850123002110},

year  = {2023},

date = {2023-11-01},

journal = {Industrial Marketing Management},

volume = {115},

pages = {470-483},

abstract = {Drawing on institutional theory and the dynamic capability view, this research explores the relationship between climate change adaptation (CCA) capability and firm performance and the mediating role of the marketing capability of a business-to-business (B2B) firm. To test the theoretical model developed in this study, data are collected from a developed country (Australia) and a developing country (South Africa) using the survey method. The study is important from two perspectives: (a) it is one of the first to analyze the impact of institutional pressures on building CCA capability, and (b) it reveals that marketing capability functions as a partial mediator and aids CCA capability in improving B2B firm performance. The unique contribution of this study is its emphasis on identifying the key elements required for exceptional B2B firm performance amid climate change. The study provides insights into the specific aspects that drive success in this setting by examining institutional pressures and B2B firms' CCA capability, marketing capability, and performance. The study contributes by employing two organizational theories (i.e., institutional theory and the dynamic capability view) to explain the underlying mechanisms underpinning improved B2B business performance amid climate change.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}