Science des données, transformation digitale, risques et systèmes complexes

@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.},

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}

@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.},

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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.},

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}

@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.},

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}

@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.},

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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.},

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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.},

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}

@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.},

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}

@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.},

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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.},

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}

@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.},

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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 = {},

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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).},

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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},

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{chaudhuri_2908,

title = {Green supply chain technology and organization performance: Moderating  role of environmental dynamism and product-service innovation capability},

author = {Ranjan Chaudhuri and Sheshadri Chatterjee and Shivam Gupta and Sachin Kamble},

url = {https://doi.org/10.1016/j.technovation.2023.102857},

year  = {2023},

date = {2023-12-01},

journal = {Technovation},

volume = {128},

pages = {102857},

abstract = {The green supply chain management (GSCM) system is considered as an environmentally friendly approach 

which considers different environmental issues in supply chain flow. There are different underlying technologies 

used in implementing GSCM; yet, we still have limited knowledge concerning how green SCM technology can 

enhance organizational performance. Further, the conditions that indirectly affect organizational performance 

within this context remain underexplored. Drawing on this gap of knowledge, the purpose of this research work 

is to investigate how adoption of GSCM can improve organizational performance. We also argue that the 

dynamism of the environment and the product-service innovation capability of organizations will have conditioning effects on this relationship. Grounded on the dynamic capability view as a theoretical lens, a conceptual 

model has been developed which is explored through feedback from 307 organizations involved in green supply 

chain management activities. We find that environmental dynamism and product-service innovation capability 

have moderating impacts on adopting green supply chain technology and organizational performance. The 

outcomes also indicate that green supply chain technology can considerably improve business value under 

certain contextual factors.},

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}

}

@article{chatterjee_2910,

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

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

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

year  = {2023},

date = {2023-11-01},

journal = {Ieee Transactions On Engineering Management},

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

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chatterjee_2912,

title = {Implications of dynamic capabilities on triple bottom line performance after the COVID-19 pandemic: An empirical insight from B2B marketing perspective},

author = {Sheshadri Chatterjee and Ranjan Chaudhuri and Alberto Ferraris and Georgia Sakka and Sumana Chaudhuri},

url = {https://www.sciencedirect.com/science/article/pii/S0019850123001955?via%3Dihub},

year  = {2023},

date = {2023-11-01},

journal = {Industrial Marketing Management},

volume = {115},

pages = {240-252},

abstract = {Triple bottom line (TBL) is a concept of business which highlights that firms should not measure their business success based only on their financial performance, but they should also measure their social and environmental impacts. In other words, the concept of triple bottom line also includes people, planet, and profit. Also, dynamic capabilities help a firm to address rapid environmental changes, and studies have shown that they can improve a firm's sustainability performance. Other studies have shown that TBL initiatives can also improve a firm's sustainability performance. But no studies have investigated how dynamic abilities as well as TBL initiatives could simultaneously impact sustainability performance of B2B firms in the post COVID-19 period. Therefore, the aim of this study is to examine the implications of dynamic capabilities on TBL performance after the COVID-19 pandemic, especially from the B2B marketing perspective. Drawing on dynamic capability view (DCV), TBL theory and the extant literature, a conceptual research model was developed which was subsequently validated with the PLS-SEM technique using 377 responses from different manufacturing and service-oriented firms. This is the first study to extensively analyze the combined impacts of these two dimensions on firms' sustainability performance, and thus it has enriched the literature related to DCV, TBL, and sustainability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2913,

title = {Acceptance of social robot and its challenges: From privacy calculus perspectives},

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

url = {https://www.sciencedirect.com/science/article/pii/S0040162523005474?via%3Dihub},

year  = {2023},

date = {2023-11-01},

journal = {Technological Forecasting And Social Change},

volume = {196},

pages = {122862},

abstract = {The aim of this study is to examine human-robot interaction (HRI) from the perspective of security, privacy, as well as social and personal norms. This study also strives to investigate users' hedonic and utilitarian attitudes towards using social robots. A social robot is a physical humanoid robot that communicates and interacts with humans and other devices. Social robots follow social rules and behaviors which make them different from other kinds of robots. They often behave like social partners to humans and have features such as eye-gaze, speech recognition, auto-gestures, and so on. Social robots use different types of sensitive data from the users which could pose security challenges and privacy threats. Not many studies have dealt with human-robot interactions (HRI) from security, privacy, social norms, and personal norms perspectives. With the existing literature as well as privacy calculus, motivational theory, and theory of planned behavior (TPB), a model has been developed conceptually, which was then validated using a sample of 403 users contemplating using social robots in the coming days. The study found that both users' hedonic and utilitarian attitudes impact significantly and positively their usage of social robots.



Previous article in issueNext article in issue

Keywords

HRISocial robots' acceptanceHedonic and utilitarian attitudePrivacy calculusSocial and personal norm},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2918,

title = {Examining the influence of industry 4.0 in healthcare supply chain performance: Moderating role of environmental dynamism},

author = {Sheshadri Chatterjee and Ranjan Chaudhuri and Shivam Gupta and Sachin Kamble},

url = {https://www.sciencedirect.com/science/article/pii/S095965262303353X?via%3Dihub},

year  = {2023},

date = {2023-11-01},

journal = {Journal Of Cleaner Production},

volume = {427},

pages = {139195},

abstract = {Healthcare supply chain management (HCSCM) is a network of different systems, tools, and processes. This system works in a seamless manner to ensure healthcare related materials such as medicines, hospital supplies, and so on. These materials are manufactured in the firms, distributed through agents, and eventually reach patients on time. During COVID-19, HCSCM was severely impacted in many countries. Many patients had to face severe difficulties during the pandemic. But post pandemic and after the adoption of several modern technologies like Industry 4.0, the performance of HCSCM was more reliable. Not many studies are available which have examined the influence of Industry 4.0 in HCSCM during such a crisis. In such context, the study aims at examining the influence of Industry 4.0 in HCSCM with moderating role of environmental dynamism. A conceptual model is proposed with the support of theories and literature. This was later validated by PLS-SEM approach considering 312 respondents from people of HCSCM system. The study ascertained that Industry 4.0 has greatly improved the performance of HCSCM system after COVID-19 crisis. In addition, this study highlighted that environmental dynamism has a significant moderating role on the linkage between adoption of industry 4.0 technology with HCSCM.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{balti_2397,

title = {Spatio-temporal Heterogeneous Graph using Multivariate Earth Observation Time Series: Application for drought forecasting},

author = {Hanen Balti and Ali Ben Abbes and Yanfang Sang and Nédra Mellouli and Imed Riadh Faraha},

url = {https://www.sciencedirect.com/science/article/pii/S0098300423001395?via%3Dihub},

year  = {2023},

date = {2023-10-01},

journal = {Computers & Geosciences},

volume = {179},

pages = {105435},

note = {Accurate forecasting is required for the effective risk management of drought disasters. Many machine learning- and deep learning-based models have been proposed for drought forecasting, however, they cannot handle the temporal and/or spatial dependencies in the input data, causing unexpected forecasting results. In order to solve the challenging issue, in this paper we proposed the Heterogeneous Spatio-Temporal Graph (HetSPGraph), for drought forecasting. It includes three major layers: spatial aggregations including inter and intra aggregations, temporal aggregation, and a forecasting network. The main function of HetSPGraph is to learn the dynamic spatiotemporal correlations between the regions and to further predict the drought in different regions, based on which accurate drought forecasting can be achieved. Experimental forecasting results of the Standardized Precipitation Evapotranspiration Index (SPEI) in China indicated that the HetSPGraph model outperformed the traditional baseline methods including the Long Short-Term Memory model (LSTM), Convolutional Neural Network-LSTM (CNN-LSTM), Gated Recurrent Unit (GRU), Spatio-Temporal Graph Convolutional Networks (STGCN) and Geographic-Semantic-Temporal Hypergraph Convolutional Network (GST-HCN). Even for long-term forecasting (12 months), more accurate forecasting results, with the coefficient of determination 

 higher than 0.89, can also be obtained by HetSPGraph compared to the other three models. The proposed HetSPGraph model has the potential for wider use in forecasting drought and other natural disasters.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bernard_2401,

title = {On the Homogenization of the Renewal Equation with Heterogeneous External Constraints},

author = {Etienne Bernard and Francesco Salvarani},

url = {https://link.springer.com/article/10.1007/s10440-023-00594-2},

year  = {2023},

date = {2023-10-01},

journal = {Acta Applicandae Mathematicae},

volume = {187},

number = {1},

pages = {4},

abstract = {We study the homogenization limit of the renewal equation with heterogeneous external con- straints by means of the two-scale convergence theory. We prove that the homogenized limit satisfies an equation involving non-local terms, which are the consequence of the oscillations in the birth and death terms. We have moreover shown that the numerical approximation of the homogenized equation via the two-scale limit gives an alternative way for the numerical study of the solution of the limiting problem.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sinha_2458,

title = {Green financing of renewable energy generation: Capturing the role of exogenous moderation for ensuring sustainable development},

author = {Avik Sinha and Vinit Ghosh and Nazim Hussain and Duc Khuong Nguyen and Narasingha Das},

url = {https://www.sciencedirect.com/science/article/pii/S0140988323005194},

year  = {2023},

date = {2023-10-01},

journal = {Energy Economics},

volume = {126},

pages = {1-16},

abstract = {The USA has been facing difficulties in attaining the objectives of Sustainable Development Goal (SDG) 7 (Affordable and Clean Energy). One of the major reasons behind this is the policy lacuna prevailing in terms of financializing the renewable energy generation projects. While the policy documents are suggesting solutions to address this issue, the hidden moderations arising out of the socio-economic and political settings are largely ignored. Moreover, the dependence structure of the green finance and renewable energy generation might follow a tail dependence, because of the extreme market conditions. The need for a policy reorientation involving these two factors has motivated the study. In this study the inter-quantile association between green finance and renewable energy generation are analyzed over January 1985 to December 2020. This study has also introduced a new method ?Multivariate Quantile-on-Quantile Regression? (m-QQR). The study outcomes reveal that the impact of green finance on renewable energy generation is susceptible to exogenous moderation, while demonstrating inter-quantile dependence. The policy framework recommended in the study is aimed at helping the USA in attaining the objectives of SDG 7.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bernis_2476,

title = {Interest rates term structure models driven by Hawkes processes},

author = {Guillaume Bernis and Matthieu Garcin and Simone Scotti and Carlo Sgarra},

url = {https://epubs.siam.org/doi/10.1137/22M1502604},

year  = {2023},

date = {2023-10-01},

journal = {Siam Journal On Financial Mathematics},

volume = {14},

number = {4},

pages = {1062-1079},

abstract = {This paper includes a marked Hawkes process in the original HJM set-up, and investigates the impact of this assumption on the pricing of the popular vanilla fixed-income derivatives.

Our model exhibits a smile that can fit the implied volatility of swaptions for a given key rate (tenor). We harness on the log-normality of the model, conditionally with respect to jumps, and derive formulae to evaluate both caplets/floorlets and swaptions. Our model exhibits negative jumps on the zero-coupon (hence positive on the rates). Therefore, its behaviour is compatible with the situation where globally low interest rates can suddenly show cluster of positive jumps in case of tensions on the market. One of the main difficulties when dealing with the HJM model is to keep a framework that is Markovian. In particular, it is important to preserve the important features of the Hull and White version, especially the reconstruction formula that provides the zero-coupon bonds in terms of the underlying model factors. In our case, this formula is based on two factors: a classical Gaussian part and a pure jump martingale part based on a Hawkes process.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{garcin_2477,

title = {Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets},

author = {Matthieu Garcin and Jules Klein and Sana Laaribi},

url = {https://www.tandfonline.com/doi/abs/10.1080/02664763.2023.2272226},

year  = {2023},

date = {2023-10-01},

journal = {Journal Of Applied Statistics},

pages = {101183},

abstract = {The time-varying kernel density estimation relies on two free parameters: the bandwidth and the discount factor. We propose to select these parameters so as to minimize a criterion consistent with the traditional requirements of the validation of a probability density forecast. These requirements are both the uniformity and the independence of the so-called probability integral transforms, which are the forecast time-varying cumulated distributions applied to the observations. We thus build a new numerical criterion incorporating both the uniformity and independence properties by the mean of an adapted Kolmogorov-Smirnov statistic. We apply this method to financial markets during the onset of the COVID-19 crisis. We determine the time-varying density of daily price returns of several stock indices and, using various divergence statistics, we are able to describe the chronology of the crisis as well as regional disparities. For instance, we observe a more limited impact of COVID-19 on financial markets in China, a strong impact in the US, and a slow recovery in Europe.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chatterjee_2829,

title = {Rethinking of firm innovation capability: Examining the moderating role of leadership ability on a new business model},

author = {Sheshadri Chatterjee and Ranjan Chaudhuri and Ajay Kumar and Shivam Gupta and Pooja Sengupta},

url = {https://doi.org/10.1016/j.techfore.2023.122771},

year  = {2023},

date = {2023-10-01},

journal = {Technological Forecasting And Social Change},

volume = {195},

pages = {122771},

abstract = {?Market-driving' is a concept for changing the composition, behavior, and/or roles of different players in a specific market. Market-driving firms shape the future course of a market and could influence the other firms in the market, customer preferences, and business relationships and even redesign the value proposition for a certain segment of customers. Leadership ability helps to achieve better firm performance through market-driving competency. Although there are a few studies in these areas, there are only limited studies that investigate the role of leadership ability and market-driving competency in influencing the marketing and financial performance of a firm. Under such circumstances, the aim of this study is to rethink the firm innovation capability and propose a new business model from the B2B Market-driving competency and leadership ability perspectives. The proposed business model is derived from the theories of the resource-based view (RBV) and dynamic capability view (DCV). CB-SEM technique is used to test the model with 412 responses from B2B firms. The new business model is supported by the firm's internal capabilities and leadership style. The study also finds branding, relationship marketing, and innovation capabilities as antecedents of market-driving competency with leadership style being an important moderator to improving market-driving competency and firm performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2917,

title = {Bright and dark sides of adopting a platform-based sharing economy business model},

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

url = {https://onlinelibrary.wiley.com/doi/epdf/10.1111/radm.12650},

year  = {2023},

date = {2023-10-01},

journal = {R&D Management},

abstract = {The sharing economy is primarily a socio-economic concept that is built upon organizations sharing resources between each other. It includes sharing a single platform by multiple organizations. These organizations can be rivals competing in the same marketplace. Often, organizations can share their employees, data, and other resources. Although there are multiple benefits in a platform-based sharing economy business model, there are some ethical concerns, too. Limited studies have extensively investigated how adopting a platform-based sharing economy business model could provide both opportunities and challenges impacting the intention of the organizations to adopt this model. From such a perspective, this study aims at an in-depth investigation of employees' perceptions regarding the intention of adopting sharing economy models through which organizations could enjoy various benefits that overcome the risks. With the help of a resource-based view with other theories and the extant literature, a conceptual model has been developed, which later has been validated using the PLS-SEM technique considering 376 responses from different organizations in India. This study has demonstrated how the benefits derived from adopting a platform-based sharing economy business model overcome the risks involved and could motivate organizations to intend to adopt such a business model.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{amirat_2247,

title = {Homogenization of ferrofluid flow models in porous media with Langevin magnetization law},

author = {Youcef Amirat and Kamel Hamdache},

url = {https://www.sciencedirect.com/science/article/pii/S0022247X23001324?via%3Dihub},

year  = {2023},

date = {2023-09-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {525},

number = {1},

pages = {127129},

abstract = {The paper is concerned with the homogenization of the equations describing the flow of a ferrofluid through a heterogeneous porous medium ? in the presence of an applied magnetic field. We discuss two models where the magnetization M is parallel to the magnetic field H. In the first one M and H satisfy the relation M=?01?fH in ?, where ?0 is a positive constant and 1?f is the characteristic function of ?f (the pore space). In the second model, M and H satisfy the Langevin magnetization law M=MsL(b1|H|)|H|1?fH, where L is the Langevin function given by L(x)=1tanh?x?1x, Ms is the saturation magnetization and b1 is a positive physical constant. The velocity and the pressure satisfy the Stokes equation with a Kelvin magnetic force. We perform the homogenization of the equations of each of the two models. Using the two-scale convergence method, we rigorously derive the homogenized equation for the magnetic potential and determine the asymptotic limit of the magnetization. Then we rigorously derive a Darcy law.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}