Science des données, transformation digitale, risques et systèmes complexes

@article{vazquez_hernandez_2473,

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

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

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

year  = {2024},

date = {2024-05-01},

journal = {Journal Of Consumer Behaviour},

volume = {23},

number = {3},

pages = {1251-1269},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{grasselli_2744,

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

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

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

year  = {2024},

date = {2024-05-01},

journal = {Annals Of Operations Research},

volume = {336},

number = {1},

pages = {3-26},

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boubaker_2930,

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

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

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

year  = {2024},

date = {2024-05-01},

journal = {Journal Of Economic Behavior & Organization},

volume = {221},

pages = {248-276},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gasmi_2968,

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

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

url = {10.1007/s10796-024-10488-9},

year  = {2024},

date = {2024-05-01},

journal = {Information Systems Frontiers},

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

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{hakiri_3101,

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

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

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

year  = {2024},

date = {2024-05-01},

journal = {Computer Networks},

volume = {244},

pages = {110350},

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

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

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

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

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

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

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

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

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

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

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

of Things (IIoT).

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{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},

pages = {234-248},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bongini_2948,

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

author = {Mattia Bongini and Francesco Salvarani},

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

year  = {2024},

date = {2024-04-01},

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

volume = {30},

pages = {32},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{saba_2975,

title = {Special Issue ? Call for Papers: Emerging Technologies for Sustainable Development? The Grand Challenge},

author = {Peter Saba and Antoine Harfouche and Samuel Fosso Wamba and Sujeet Kumar Sharma and Jocelyn Cranefield},

url = {https://aisel.aisnet.org/cais/whatsnew.html},

year  = {2024},

date = {2024-03-01},

journal = {Communications of the AIS},

volume = {55},

pages = {1-6},

abstract = {Exploring the transformative role of Emerging Technologies in advancing inclusivity, sustainability, and the UN SDGs 

within the Information Systems field.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{bignoumba_2463,

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

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

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

year  = {2024},

date = {2024-03-01},

journal = {Expert Systems With Applications},

volume = {238},

number = {Part E},

pages = {122148},

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

 for the F1-score.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pignot_2558,

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

author = {Edouard Pignot and Mark Thompson},

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

year  = {2024},

date = {2024-03-01},

journal = {Information And Organization},

volume = {34},

number = {1},

pages = {100500},

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

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

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

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

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

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

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

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

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{brouty_2818,

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

author = {Xavier Brouty and Matthieu Garcin},

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

year  = {2024},

date = {2024-03-01},

journal = {Chaos Solitons & Fractals},

volume = {180},

pages = {1-14},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rahman_2826,

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

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

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

year  = {2024},

date = {2024-03-01},

journal = {Computers In Human Behavior},

volume = {152},

pages = {108083},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mheich_2862,

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

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

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



doi:10.3934/cpaa.2024016},

year  = {2024},

date = {2024-03-01},

journal = {Communications On Pure And Applied Analysis},

volume = {23},

number = {3},

pages = {383-403},

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

logarithmic nonlinear Cahn-Hilliard equation with regularization and

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

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

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

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

further regularity results and subsequently prove a strict separation property

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_2909,

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

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

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

year  = {2024},

date = {2024-03-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {3},

pages = {2066-2083},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chaudhuri_2924,

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

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

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

year  = {2024},

date = {2024-03-01},

journal = {Technological Forecasting And Social Change},

volume = {200},

pages = {123165},

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

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

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

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

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2940,

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

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

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

year  = {2024},

date = {2024-03-01},

journal = {Production Planning & Control},

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

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{ren_3111,

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

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

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

year  = {2024},

date = {2024-03-01},

journal = {Earths Future},

volume = {12},

number = {3},

pages = {e2024EF004417},

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2393,

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

author = {Surajit Bag and Muhammad Sabbir Rahman},

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

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {504-528},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{patil_2417,

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

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

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

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {1227-1246},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2418,

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

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

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

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {1247-1264},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2419,

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

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

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

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {1369-1396},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_2513,

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

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

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

year  = {2024},

date = {2024-02-01},

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

volume = {419},

pages = {116639},

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{leschiera_2660,

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

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

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

year  = {2024},

date = {2024-02-01},

journal = {Physical Biology},

volume = {2},

pages = {5;21},

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

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

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

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

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

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

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

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2833,

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

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

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

year  = {2024},

date = {2024-02-01},

journal = {Industrial Marketing Management},

volume = {117},

pages = {356-370},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2915,

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

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

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

year  = {2024},

date = {2024-02-01},

journal = {Journal Of Business Research},

volume = {172},

pages = {114447},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{siachou_2925,

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

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

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

year  = {2024},

date = {2024-02-01},

journal = {European Management Journal},

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

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

organizational tenure.

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

with partial least squares structural equation modeling techniques.

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

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

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

practice.

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

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

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

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

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

employee and organizational outcomes.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@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{nzamba_3028,

title = {Nzamba Bignoumba, Nedra Mellouli, Sadok Ben Yahia: A new efficient ALignment-driven Neural Network for Mortality Prediction from Irregular Multivariate Time Series data},

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

url = {https://doi.org/10.1016/j.eswa.2023.122148},

year  = {2024},

date = {2024-01-01},

journal = {Expert Systems With Applications},

volume = {Volume 238,},

number = {Part E 122},

pages = {20},

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 +2.4% for the AUPRC score and +0.6% and +1.7% for the F1-score.},

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{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}

}