Les principaux domaines d’activité du Digital Group sont :
L’entreprise et le numérique
Analyser et comprendre l’impact de la révolution digitale sur les entreprises. Anticiper les évolutions du management, du marketing, de la communication et de la relation client. Étudier les nouveaux modèles économiques, les nouvelles organisations, leurs risques et opportunités dans une économie mondialisée.
L’industrie intelligente
Imaginer l’apport du digital pour l’usine du futur. Concevoir de nouveaux outils numériques permettant le recueil, la structuration et l’analyse des données, en se reposant sur des techniques avancées de Machine Learning et de Deep Learning. Permettre la sauvegarde des expertises avec des jumeaux numériques et leurs redéploiements dans l’entreprise.
Du Big Data aux Smart Data
Collecter, stocker, analyser, optimiser et présenter des données toujours plus nombreuses. Réinventer les outils classiques d’exploration de bases de données et la façon dont est envisagée la gestion de l’information. Concevoir des solutions profitant des dernières avancées en représentation des connaissances, techniques de passage à l’échelle, manipulation des données, Machine Learning et Data Mining. Un intérêt tout particulier est porté aux applications au tourisme.
Computer Human Interaction
Les récents progrès en Intelligence Artificielle offrent de nouvelles perspectives de collaboration entre la machine et les êtres humains. Avec de plus hauts niveaux de compréhension multimodale, les machines intègrent la vision par ordinateur, le traitement du langage naturel, mais aussi les Smart Materials et l’IoT. Créer de nouveaux médias d’interaction à partir de matière souple, active, et e-textile.
L’équipe d’enseignants-chercheurs Digital Group
L’ensemble des travaux des enseignants-chercheurs Digital Group
Abishek Sriramulu; Nicolas Fourrier; Christoph Bergmeir
Adaptive dependency learning graph neural networks Article de journal
Dans: Information Sciences, vol. 625, p. 700-714, 2023.
@article{sriramulu_2084,
title = {Adaptive dependency learning graph neural networks},
author = {Abishek Sriramulu and Nicolas Fourrier and Christoph Bergmeir},
url = {https://www.sciencedirect.com/science/article/pii/S002002552201581X?via%3Dihub},
year = {2023},
date = {2023-05-01},
journal = {Information Sciences},
volume = {625},
pages = {700-714},
abstract = {Graph Neural Networks (GNN) have recently gained popularity in the forecasting domain due to their ability to model complex spatial and temporal patterns in tasks such as traffic forecasting and region-based demand forecasting. Most of these methods require a prede- fined graph as input, whereas in real-life multivariate time series problems, a well- predefined dependency graph rarely exists. This requirement makes it harder for GNNs to be utilised widely for multivariate forecasting problems in other domains such as retail or energy. In this paper, we propose a hybrid approach combining neural networks and sta- tistical structure learning models to self-learn the dependencies and construct a dynami- cally changing dependency graph from multivariate data aiming to enable the use of GNNs for multivariate forecasting even when a well-defined graph does not exist. The sta- tistical structure modeling in conjunction with neural networks provides a well-principled and efficient approach by bringing in causal semantics to determine dependencies among the series. Finally, we demonstrate significantly improved performance using our proposed approach on real-world benchmark datasets without a pre-defined dependency graph.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Daniel Maar; Hajer Kefi; Ekatarina Besson
Fostering positive customer attitudes and usage intentions for scheduling services via chatbots Article de journal
Dans: Journal Of Service Management, vol. 34, no. 2, p. 208-230, 2023.
@article{maar_2215,
title = {Fostering positive customer attitudes and usage intentions for scheduling services via chatbots},
author = {Daniel Maar and Hajer Kefi and Ekatarina Besson},
url = {https://doi.org/10.1108/JOSM-06-2021-023},
year = {2023},
date = {2023-03-01},
journal = {Journal Of Service Management},
volume = {34},
number = {2},
pages = {208-230},
abstract = {Purpose
This article draws on a reasoned action perspective and the two fundamental dimensions (i.e. warmth and competence) of the Stereotype Content Model (SCM) to analyze customers' chatbot-related attitudes and usage intentions in service retailing. The authors investigate how chatbot, customer, and contextual characteristics, along with perceptions of chatbot warmth and competence, shape customers' chatbot-related attitudes. Furthermore, the authors analyze whether the customer generation or the service context moderates the relationship between chatbot-related attitudes and usage intentions.
Design/methodology/approach
The results are based on two studies (N = 807). Study 1 relies on a 2 (chatbot communication style: high vs low social orientation) × 2 (customer generation: generation X [GenX] vs generation Z [GenZ]) × 2 (service context: restaurant vs medical) between-subjects design. Study 2 relies on a similar number of respondents from GenX and GenZ who answered questions on scheduling a service with either the dentist or the favorite restaurant of the respondents.
Findings
GenZ shows more positive attitudes toward chatbots than GenX, due to higher perceptions of warmth and competence. While GenZ has similar attitudes toward chatbots with a communication style that is high or low in social orientation, GenX perceives chatbots with a high social orientation as warmer and has more favorable attitudes toward chatbots. Furthermore, the positive effect of chatbot-related attitudes on usage intentions is stronger for GenX than GenZ. These effects do not significantly differ between the considered contexts.
Originality/value
This research formulates future directions to stimulate debate on factors that service retailers should consider when employing chatbots.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Antoine Harfouche; Bernard Quinio; Mario Saba; Peter Bou Saba
The Recursive Theory of Knowledge Augmentation: Integrating human intuition and knowledge in Artificial Intelligence to augment organizational knowledge Article de journal
Dans: Information Systems Frontiers, vol. 25, p. 55-70, 2023.
@article{harfouche_1996,
title = {The Recursive Theory of Knowledge Augmentation: Integrating human intuition and knowledge in Artificial Intelligence to augment organizational knowledge},
author = {Antoine Harfouche and Bernard Quinio and Mario Saba and Peter Bou Saba},
url = {https://link.springer.com/article/10.1007/s10796-022-10352-8},
year = {2023},
date = {2023-02-01},
journal = {Information Systems Frontiers},
volume = {25},
pages = {55-70},
abstract = {Artificial intelligence (AI) has increased the ability of organizations to accumulate tacit and explicit knowledge to inform management decision-making. Despite the hype and popularity of AI, there is a noticeable scarcity of research focusing on AI's potential role in enriching and augmenting organizational knowledge. This paper develops a recursive theory of knowledge augmentation in organizations (the KAM model) based on a synthesis of extant literature and a four-year revised canonical action research project. The project aimed to design and implement a human-centric AI (called Project) to solve the lack of integration of tacit and explicit knowledge in a scientific research center (SRC). To explore the patterns of knowledge augmentation in organizations, this study extends Nonaka's SECI (socialization, externalization, combination, and internali- zation) model by incorporating the human-in-the-loop Informed Artificial Intelligence (IAI) approach. The proposed design offers the possibility to integrate experts' intuition and domain knowledge in AI in an explainable way. The findings show that organizational knowledge can be augmented through a recursive process enabled by the design and implementation of human-in-the-loop IAI. The study has important implications for research and practice.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Elodie Bouzbib; Marc Teyssier; Thomas Howard; Claudio Pacchierotti; Anatole Lécuyer
PalmEx: Adding Palmar Force-Feedback for 3D Manipulation with Haptic Exoskeleton Gloves Article de journal
Dans: Ieee Transactions On Visualization And Computer Graphics, 2023.
@article{bouzbib_2109,
title = {PalmEx: Adding Palmar Force-Feedback for 3D Manipulation with Haptic Exoskeleton Gloves},
author = {Elodie Bouzbib and Marc Teyssier and Thomas Howard and Claudio Pacchierotti and Anatole Lécuyer},
url = {https://ieeexplore.ieee.org/document/10041940/},
year = {2023},
date = {2023-02-01},
journal = {Ieee Transactions On Visualization And Computer Graphics},
abstract = {Haptic exoskeleton gloves are a widespread solution for providing force-feedback in Virtual Reality (VR), especially for 3D object manipulations. However, they are still lacking an important feature regarding in-hand haptic sensations: the palmar contact.
In this paper, we present PalmEx, a novel approach which incorporates palmar force-feedback into exoskeleton gloves to improve the overall grasping sensations and manual haptic interactions in VR. PalmEx's concept is demonstrated through a self-contained hardware system augmenting a hand exoskeleton with an encountered palmar contact interface -- physically encountering the users' palm.
We build upon current taxonomies to elicit PalmEx's capabilities for both the exploration and manipulation of virtual objects.
We first conduct a technical evaluation optimising the delay between the virtual interactions and their physical counterparts.
We then empirically evaluate PalmEx's proposed design space in a user study (n=12) to assess the potential of a palmar contact for augmenting an exoskeleton. Results show that PalmEx offers the best rendering capabilities to perform believable grasps in VR.
PalmEx highlights the importance of the palmar stimulation, and provides a low-cost solution to augment existing high-end consumer hand exoskeletons.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Edouard Pignot
Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control Article de journal
Dans: Organization, vol. 30, no. 1, p. 140-167, 2023.
@article{pignot_1750,
title = {Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control},
author = {Edouard Pignot},
url = {https://journals.sagepub.com/doi/10.1177/1350508420974523#},
year = {2023},
date = {2023-01-01},
journal = {Organization},
volume = {30},
number = {1},
pages = {140-167},
abstract = {This paper aims to address the dark side perspective on digital control and surveillance by emphasizing the affective grip of ideological control, namely the process that silently ensures the subjugation of digital labour, and which keeps the ?unexpectedness' of algorithmic practices at bay: that is, the propensity of users to contest digital prescriptions. In particular, the theoretical contribution of this paper is to combine Labour Process with psychoanalytically-informed, post-structuralist theory, in order to connect to, and further our understanding of, how and why digital workers assent to, or oppose, the interpellations of algorithmic ideology at work. To illustrate the operation of affective control in the Platform Economy, the emblematic example of ride-hailing platforms, such as Uber, and their algorithmic management, is revisited. Thus, the empirical section describes the way drivers are glued to the algorithm (e.g. for one more fare, or for the next surge pricing) in a way that prevents them, although not always, from considering genuine resistance to management. Finally, the paper discusses the central place of ideological fantasy and cynical enjoyment in the Platform Economy, as well as the ethical implications of the study.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Edouard Pignot; Thomas Lennerfors
Anti-work as affective commons: dogmatism, confidence, scepticism, and terror Conférence
38th EGOS colloquium, Cagliari, Italy, 2023.
@conference{pignot_2144,
title = {Anti-work as affective commons: dogmatism, confidence, scepticism, and terror},
author = {Edouard Pignot and Thomas Lennerfors},
url = {https://www.egos.org/jart/prj3/egos/main.jart?rel=de&reserve-mode=active&content-id=1658501434997&subtheme_id=1637466415495},
year = {2023},
date = {2023-07-01},
booktitle = {38th EGOS colloquium},
address = {Cagliari, Italy},
abstract = {While the ideas of contemporary French philosopher Alain Badiou have been largely influential on literature, art humanities, political sciences, government laws, cultural studies, and even education, geography and religion studies - including noticeable exegeses in the Anglo-Saxon world from Slavoj ?i?ek, Simon Critchley and Ed Pluth - their use in organization studies remains, perhaps startingly, marginal. Further, existing Badiouian organizational studies focus mainly on Being and Event but much less on his two other major opuses: Theory of the subject and Logics of World. The novelty of Badiou is to consider subjects at the interaction between language and psycho-sexual, traumatic experiences, which remain impossible to symbolize and thereby constitute political events. The notion of evental change does not bring about a new world on its own, but it requires a series of acts in a context, a form of faithfulness to the event - a performance which this paper further investigates.
Going beyond the current use of Badiou in organization studies, we propose a Badiouan theoretical framework to address organizational subjects' performativity, in terms of subjectivation (anxiety, courage) and subject-process (superego, justice), whose articulation gives rise to four various modes of affective acting (terror, skepticism, dogmatism and confidence). A framework comprising these modes of affective acting is aimed to support subjectivities intended to drive change in society, and to avoid those subjectivities favouring the status quo. Therefore, Badiou's approach is highly relevant for the cultivation of subjectivities promoting alternative goods, rather than focusing on critique and resistance.
To illustrate the relevance of this framework empirically, we offer a Badiouian interpretation of antiwork politics, a left-wing social movement which is either mocked or coopted by corporatism - and loses its radicality. As subjectivity is progressively manipulated and colonized by management, the novel application of Badiou's framework to the anti-work problem enables to revive the political and ethical dimension of work psychodynamics that is lost through individualistic and intra-psychic focus.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Guillaume Guérard; Soufian Ben Amor; Maxence Choufa; Sonia Djebali; Clement Cornet; Loup-Noé Levy; Hai Tran
Pretopology-based Clustering for Mixed Data Conférence
ROADEF 2023, Rennes , France, 2023.
@conference{guerard_2244,
title = {Pretopology-based Clustering for Mixed Data},
author = {Guillaume Guérard and Soufian Ben Amor and Maxence Choufa and Sonia Djebali and Clement Cornet and Loup-Noé Levy and Hai Tran},
url = {https://roadef2023.sciencesconf.org/436878/document},
year = {2023},
date = {2023-02-01},
booktitle = {ROADEF 2023},
address = {Rennes , France},
abstract = {The energy performance of buildings represents a major issue of the 21st century. Many
solutions have been discussed to improve buildings' energy performance [1, 4], but the actions
to take differ from one building to another. In other words, current solutions are built on
a case-by-case basis and cannot be extrapolated easily. Indeed, it is difficult to find generic
solutions due to their complexity and heterogeneity.
By placing buildings in groups and subgroups, one can define relevant energy optimization
recommendations without auditing each building individually. Because initial labels are not
always defined, clustering is relevant in our case. Since we seek for intrinsic similarities between
groups and subgroups, hierarchical clustering is needed. Buildings are described with mixed
data. They include numerical data such as surface or number of floors, and categorical data like
types of heating or insulation materials. Few clustering algorithms exist for mixed data, and
even fewer are hierarchical. In this article, we present a method for the hierarchical clustering
of mixed data based on pretopology.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Oussama Ayoub; Ludovic Li; Christophe Rodrigues; Nicolas Travers
LoGE: Expansion Locale-Globale de document non supervise avec un moteur de recherche Extensible Conférence
TextMine - Groupe de travail sur la fouille de textes @ confrence EGC, Lyon, 2023.
@conference{ayoub_2078,
title = {LoGE: Expansion Locale-Globale de document non supervise avec un moteur de recherche Extensible},
author = {Oussama Ayoub and Ludovic Li and Christophe Rodrigues and Nicolas Travers},
year = {2023},
date = {2023-01-01},
booktitle = {TextMine - Groupe de travail sur la fouille de textes @ confrence EGC},
address = {Lyon},
abstract = {Avec la croissance continue des donnes textuelles que les systmes d'information modernes doivent grer, des solutions de recherche d'information sont ncessaires pour trouver efficacement le meilleur ensemble de documents pour une demande donne.Pour rsoudre ce problme, nous proposons un moteur de recherche extensible qui vise gnrer une expansion des documents en s'appuyant sur des mthodes rcentes d'apprentissage profond et mis en uvre sur Elasticsearch. Pour gnrer de nouveaux mots pour un document, un modle de langage masqu d'apprentissage profond est utilis pour infrer des mots apparents.La dmonstration montrera la fois l'extensibilit de notre cadre de gnration d'expansions, l'efficacit de l'valuation et l'impact de diverses expansions sur la correspondance des requtes.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Brice Parilusyan; Marc Teyssier; Zacharie Guillaume; Thibault Charlet; Clément Duhart; Marcos Serrano
Dans: IEEE International Conference on Robotics and Automation, ExCeL London Royal Victoria Dock 1 Western Gateway, London E16 1XL, 2023.
@inproceedings{parilusyan_2251,
title = {Local Layer Splitting: An Additive Manufacturing Method to Define the Mechanical Properties of Soft Pneumatic Actuators During Fabrication},
author = {Brice Parilusyan and Marc Teyssier and Zacharie Guillaume and Thibault Charlet and Clément Duhart and Marcos Serrano},
url = {icra2023.org},
year = {2023},
date = {2023-05-01},
booktitle = {IEEE International Conference on Robotics and Automation},
address = {ExCeL London Royal Victoria Dock 1 Western Gateway, London E16 1XL},
abstract = {Additive manufacturing of silicone is increasingly being explored to complement the traditional molding fabrication technique for Soft Pneumatic Actuators (SPAs). However, the mechanical behavior of SPAs is defined by their 3D form, which leads to prioritizing the SPAs mechanical properties over their aspect. In this paper, we propose a novel SPA fabrication method where the mechanical properties of a silicone part are defined during the fabrication phase rather than the 3D modeling phase, leading to the object's mechanical properties being independent of the object's aspect. This novel SPA fabrication method, named Local Layer Splitting (LLS), consists of local modifications of the printing layer height to integrate stiffness variation, thus generating controlled mechanical deformation when pressured. We discovered that silicone printing layer height impacts the final stiffness of the material, and it could be used to program bending deformation to actuators during printing. We first characterize the effect of the layer height parameters on 3D-printed silicone stiffness with tensile tests. Then, we present a custom slicer we developed to generate G-codes with local layer height variations depending on the x and y positions. We then characterize the bending and force achievable by SPAs made with the LLS process and find that they match those of state-of-the-art SPAs. Finally, we present and discuss how the LLS method impacts the SPAs design by shifting the bending behavior integration from the SPAs 3D conception to their fabrication phase.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Ihab Taleb; Guillaume Guérard; Frédéric Fauberteau; Nga Nguyen
A holonic multi-agent architecture for smart grids Inproceedings
Dans: International Conference on Agents and Artificial Intelligence, Lisbon, Portugal, 2023, ISBN: 978-989-758-547-0.
@inproceedings{taleb_2073,
title = {A holonic multi-agent architecture for smart grids},
author = {Ihab Taleb and Guillaume Guérard and Frédéric Fauberteau and Nga Nguyen},
url = {https://icaart.scitevents.org/},
issn = {978-989-758-547-0},
year = {2023},
date = {2023-02-01},
booktitle = {International Conference on Agents and Artificial Intelligence},
address = {Lisbon, Portugal},
abstract = {The global warming and the increase of fossil fuel prices make the minimization of energy generation an important objective. Thus, smart grids are becoming more and more relevant in a context where we want to regulate the demand according to the available energy. This regulation can be operated thanks to Demand Side Management (DSM) tools. While different models and architectures have been developed for smart grids, only few papers used holonic architectures. For this, we propose in this paper a holonic architecture for smart grids. This type of architectures is relevant to smart grids as it allow the various actors in the grids to work even in the cases of technical problems. Holons in the proposed model are composed of five interconnecting agents that ensure flexibility on the various aspects. This model has been tested and has proven to work on 3 different scenarios. The first scenario simulates a grid in its healthy state. The second one simulates a grid where a region can be disconnected from a blackout for example. The third one simulates a grid with production mismanagement. Results show how the grid distributes the available energy depending on the available production, priorities (if any) and the assurance of the distribution across the various requesting holons.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Karina Sokolova; Hajer Kefi; Vincent Dutot
Beyond the shallows of physical attractiveness: Pefection and objectifying gaze on Instagram Article de journal
Dans: International Journal Of Information Management, vol. 67, no. December 2, p. 1025-46, 2022.
@article{sokolova_1893,
title = {Beyond the shallows of physical attractiveness: Pefection and objectifying gaze on Instagram},
author = {Karina Sokolova and Hajer Kefi and Vincent Dutot},
url = {https://www.sciencedirect.com/science/article/pii/S0268401222000809},
year = {2022},
date = {2022-12-01},
journal = {International Journal Of Information Management},
volume = {67},
number = {December 2},
pages = {1025-46},
abstract = {Due to the extensive use of highly visual social media platforms such as Instagram, body image exposure has become a common practice. Specifically, the use of idealized women's bodies in different sectors of promotion and on social media has been subject to much criticism. The awareness of the negative outcomes of objectifying content triggered movements towards natural body exposure. However, empirical studies on the perceived effectiveness of this use are still needed. In this article, we compare how idealized versus natural women's bodies are perceived by Instagram users by means of an experimental procedure conducted with 700 users of this platform. We apply the Mann-Whitney U test and PLS-SEM to evaluate how physical attractiveness and idealization are related to the objectifying gazes. Our results suggest that overall publishing potentially objectifying content online is an accepted behavior, especially for more active Instagram users. Besides, both extremes of attractiveness, i.e. idealized beauty and perceived lack of attractiveness are subjected to stronger objectifying, than more natural-looking models. Thus, our paper contributes theoretically and empirically to the research on objectification by extending our knowledge of the factors that drive objectification and its acceptance among social media users. The implications of the emphasis on female bodily appearance on digital presence and the practices of digital influencers are discussed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Nga Nguyen; Michel Batteux; Antoine Rauzy
Modeling Cyberattack Propagation and Impacts on Cyber-Physical System Safety: An Experiment Article de journal
Dans: Electronics, vol. 12, no. 1, p. 77, 2022.
@article{nguyen_2072,
title = {Modeling Cyberattack Propagation and Impacts on Cyber-Physical System Safety: An Experiment},
author = {Nga Nguyen and Michel Batteux and Antoine Rauzy},
url = {https://www.mdpi.com/2079-9292/12/1/77},
year = {2022},
date = {2022-12-01},
journal = {Electronics},
volume = {12},
number = {1},
pages = {77},
abstract = {In this article, we present an experiment we conducted with discrete event simulations
to analyze the effects of multi-step cyberattacks on the safety of cyber-physical systems. We show how to represent systems, their components (either software and/or hardware), communication links, security measures, and attacks from a malicious intruder. The latter are typically taken from the MITRE ATT&CK knowledge base. The discrete event simulation method makes it possible to represent any event affecting the system. We illustrate our approach by means of an illustrative example involving cyberattacks against the navigation system of an autonomous ship. We show how the formal modeling language AltaRica, primarily dedicated to safety analyses, can assess this illustrative example by representing the system and automatically extracting sequences of attacks,
leading to a safety-critical situation, namely the deviation of the ship by the attacker. This article aims to discuss this approach and to outline the lessons learned from our experience.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Emna Brahem; Florence Depoers; Faten Lakhal
Corporate social responsibility and earnings quality in family firms Article de journal
Dans: Journal of Applied Accounting Research, vol. 23, no. 5, p. 1114-1134, 2022.
@article{brahem_1823,
title = {Corporate social responsibility and earnings quality in family firms},
author = {Emna Brahem and Florence Depoers and Faten Lakhal},
url = {https://doi.org/10.1108/JAAR-05-2021-0139},
year = {2022},
date = {2022-10-01},
journal = {Journal of Applied Accounting Research},
volume = {23},
number = {5},
pages = {1114-1134},
abstract = {The purpose of this paper is to investigate the relationship between corporate social responsibility and earnings quality, specifically in family firms.
Design/methodology/approach
Based on a sample of French-listed firms from the period 2005 to 2016, the authors use the instrumental variable approach based on a two-stage least-squares (2SLS) estimator.
Findings
The results show that Corporate Social Responsibility (CSR) performance is positively associated with the relevance and faithful representation of earnings. This means that companies that commit to CSR activities are more likely to provide high earnings quality. The results also show that the positive association between CSR performance and earnings quality is more prevalent in family firms suggesting that socially responsible family firms are willing to preserve their socio-emotional wealth by disclosing high quality earnings.
Research limitations/implications
The results suggest that French firms commit to CSR to satisfy the interests of their stakeholders by disclosing high-quality information supporting the conflict resolution view of CSR. The findings also support the socio-emotional wealth perspective and suggest that family firms that engage in CSR activities provide a rich informational environment through high earnings quality.
Practical implications
This study's findings can be thus useful to investors for their portfolio management decisions by enabling them to identify the profile of companies with high earnings quality. These results may also help standard-setters and capital-market regulators improve market transparency by introducing new requirements to encourage investing in CSR.
Originality/value
This study extends the research on the relationship between CSR and earnings quality by focusing on two fundamental characteristics including relevance and faithful representation. This paper focuses on the effect of CSR on earnings quality in the specific context of family firms. This study offers then a better understanding of whether socially responsible family firms communicate stronger or weaker earnings quality than non-family firms based on the agency and socio-emotional wealth perspectives.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jean-Éric Pelet; Basma Taieb
Context-aware optimization of mobile commerce website interfaces from the consumers' perspective: Effects on behavioral intentions Article de journal
Dans: Computers in Human Behavior Reports, vol. 7, p. 100225, 2022.
@article{pelet_2057,
title = {Context-aware optimization of mobile commerce website interfaces from the consumers' perspective: Effects on behavioral intentions},
author = {Jean-Éric Pelet and Basma Taieb},
url = {https://www.sciencedirect.com/science/article/pii/S2451958822000598?via%3Dihub},
year = {2022},
date = {2022-08-01},
journal = {Computers in Human Behavior Reports},
volume = {7},
pages = {100225},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Tiange Zhu; Raphaël Fournier-S'niehotta; Philippe Rigaux; Nicolas Travers
A Framework for Content-Based Search in Large Music Collections Article de journal
Dans: Big Data and Cognitive Computing, vol. 6, no. 1, p. 23, 2022.
@article{zhu_1776,
title = {A Framework for Content-Based Search in Large Music Collections},
author = {Tiange Zhu and Raphaël Fournier-S'niehotta and Philippe Rigaux and Nicolas Travers},
url = {https://www.mdpi.com/2504-2289/6/1/23},
year = {2022},
date = {2022-02-01},
journal = {Big Data and Cognitive Computing},
volume = {6},
number = {1},
pages = {23},
abstract = {We address the problem of scalable content-based search in large collections of music documents. Music content is highly complex and versatile and presents multiple facets that can be considered independently or in combination. Moreover, music documents can be digitally encoded in many ways. We propose a general framework for building a scalable search engine, based on (i) a music description language that represents music content independently from a specific encoding, (ii) an extendible list of feature-extraction functions, and (iii) indexing, searching, and ranking procedures designed to be integrated into the standard architecture of a text-oriented search engine. As a proof of concept, we also detail an actual implementation of the framework for searching in large collections of XML-encoded music scores, based on the popular ElasticSearch system. It is released as open-source in GitHub, and available as a ready-to-use Docker image for communities that manage large collections of digitized music documents},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Erik Ernesto VAZQUEZ HERNANDEZ; Daniela Cruz Delgado; Julio César García Martinez; Jose Ramón Lopez Arellano
Introducción a la innovación de cadenas de suministro aplicadas al comercio digital Ouvrage
Universidad Autónoma de Sinaloa, 2022, ISBN: 978-607-737-387-2.
@book{vazquez_hernandez_2220,
title = {Introducción a la innovación de cadenas de suministro aplicadas al comercio digital},
author = {Erik Ernesto VAZQUEZ HERNANDEZ and Daniela Cruz Delgado and Julio César García Martinez and Jose Ramón Lopez Arellano},
url = {https://isbnmexico.indautor.cerlalc.org/catalogo.php?mode=detalle&nt=383423},
issn = {978-607-737-387-2},
year = {2022},
date = {2022-12-01},
publisher = {Universidad Autónoma de Sinaloa},
abstract = {El futuro digital del comercio se ha visto cada vez más acelerado por la reciente pandemia global. Las implicaciones disruptivas en el comercio mundial fueron evidentes con la incertidumbre derivada de la pandemia. Antes de esto, los sistemas y procesos en los negocios cotidianos dieron a las sociedades la idea tranquilizadora del control: los productores planificaron cadenas de suministro globales con alta precisión y la digitalización de los sistemas logísticos se estancó en algunas industrias. Sin embargo, dada la reciente pandemia mundial pronosticar la demanda se volvió muy difícil por lo que la digitalización del comercio y los procesos logísticos se aceleraron.
Comenzaremos este curso de Comercio Digital Futuro aprendiendo la naturaleza del pensamiento sistémico aplicado a las empresas y la logística. Al hacerlo, aprenderemos sobre el mapeo de procesos para incorporar sistemas de TI que mejoren la eficiencia de las organizaciones. Además, aprenderemos sobre aplicaciones del desarrollo de sistemas de gestión del tiempo de trabajo y los principios detrás de la logística orientada a la demanda.
Para comprender las tendencias que dan forma al futuro del comercio, exploramos la historia del comercio global y cómo la optimización de la logística evolucionó a lo largo de los años. En esto, discutiremos la corriente de pensamiento que generó más tensión: Liberalización vs. Proteccionismo. Particularmente, aprenderemos sobre el impacto de las innovaciones en la logística del comercio minorista de una época anterior y cómo se compara con las innovaciones y tendencias actuales.
Exploraremos las implicaciones de las innovaciones actuales, como la impresión 3D y los sistemas de control, sobre comercio electrónico. Al hacerlo, identificaremos los usos de Big Data y sus desafíos, tales como las preocupaciones sobre la privacidad y las dificultades para implementar soluciones técnicas modernas en el comercio. Así mismo, comprenderemos mejor el futuro del comercio mundial al incorporar conocimientos sobre las cadenas de suministro adaptables y la digitalización de la producción.},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
Zacharie Guillaume; Théo Richalet; Marc Teyssier; Sylvain Pauchet; Jérémie Garcia; Benoit Roman
Make-A-Morph: Exploring the design space of inflatable devices made from planar fabric Conférence
Fifth European Tangible Interaction Studio, Toulouse, 2022.
@conference{guillaume_2051,
title = {Make-A-Morph: Exploring the design space of inflatable devices made from planar fabric},
author = {Zacharie Guillaume and Théo Richalet and Marc Teyssier and Sylvain Pauchet and Jérémie Garcia and Benoit Roman},
url = {https://etis.lii.enac.fr/},
year = {2022},
date = {2022-11-01},
booktitle = {Fifth European Tangible Interaction Studio},
address = {Toulouse},
abstract = {Developing inflatable devices from planar fabric is a new versatile fabrication process that allows
the development of complex geometric shapes with a beneficial mass to robustness ratio. However,
designing and fabricating with this matter is complex, and the existing design primitives for shape
change can constrain designers' creativity. We present a pipeline that allows users and designers to
explore and compose with various shape-change primitives. To this extent, we rely on digital simulation
combined with a simple digital fabrication tool. This pipeline allows to explore and visualize deformation
and develop new application cases for shape-changing interfaces. We propose a workshop around
manipulating these tools to foster discussion between designers and researchers around the future of
shape-changing interface fabrication},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Yuehgoh Foutse; Sonia Djebali; Nicolas Travers
A recommendation system for technology intelligence based on multiplex networks Conférence
17th Women in Machine Learning Workshop @ NeurIPS, New Orleans, USA, 2022.
@conference{foutse_2060,
title = {A recommendation system for technology intelligence based on multiplex networks},
author = {Yuehgoh Foutse and Sonia Djebali and Nicolas Travers},
url = {https://sites.google.com/view/wiml2022},
year = {2022},
date = {2022-11-01},
booktitle = {17th Women in Machine Learning Workshop @ NeurIPS},
address = {New Orleans, USA},
abstract = {A recommendation system for technology intelligence based on multiplex networks},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Théo Serru; Nga Nguyen; Michel Batteux; Antoine Rauzy; Raphaël Blaize; Laurent Sagaspe; Emmanuel Arbaretier
Discussions About Model Based Security for Cyber Physical Systems Conférence
Congrès de maîtrise des risques et de sûreté de fonctionnement, Paris, France, 2022.
@conference{serru_1806,
title = {Discussions About Model Based Security for Cyber Physical Systems},
author = {Théo Serru and Nga Nguyen and Michel Batteux and Antoine Rauzy and Raphaël Blaize and Laurent Sagaspe and Emmanuel Arbaretier},
url = {https://www.imdr-lambdamu.eu/},
year = {2022},
date = {2022-10-01},
booktitle = {Congrès de maîtrise des risques et de sûreté de fonctionnement},
address = {Paris, France},
abstract = {Cyber-Physical Systems (CPSs) are intensively used in many different kinds of industrial
systems. Whether you are driving a recent car, taking the plane, having a smartphone or smart watch, you interact with CPSs. If we sometimes feel more comfortable or secure with them, these systems are very exposed to cyber-attacks. This is due to their highly interconnected nature and implies that they need to be carefully protected. Thus, one of their main challenges is to ensure their security.
Recent years have seen an increasing concern about the cybersecurity of CPSs and many methods have been developed to answer their challenges.
In this article, we focus on a recent philosophy of doing cybersecurity, inspired by Model
Based System Engineering (MBSE), called Model Based Security (MBS) or Model Driven Security [1]. This specialization of MBSE has been first applied to IT systems and is now a growing research field for CPSs as it helps to automatize cybersecurity assessments that are quickly intractable for engineers working on complex systems.
Despite the growing interest regarding MBS for CPSs, this method is poorly applied in
industry. Most of the works have been made in research labs and have not yet reached industrial application level. Furthermore, these works are relatively diverse and focus on different fields or different aspects of security. This variety is a chance and a problem because there is no consensus in the community on how to apply MBS to CPSs. Indeed, there is no established formal way to define systems (especially the interactions between the physical and cyber layer), threat models, scenarios of
attacks (qualitative analysis), potentiality evaluation (quantitative analysis), deployment phases, etc. [1] [2]. In addition, the abstraction is too high level to describe the complex interactions involved in CPSs or too low level to handle complexity [3].
The major contribution of this work is thus to summarize the actual strengths and weaknesses
of MBS for CPS. To do so, we propose to dig into some recent works and analyze them to understand the needs and missing theoretical background in this field. Then, with a clear overview of the issues about MBS, we will identify some solutions or trigger points that might help to make this type of
approach more attractive and exhaustive.
Finally, it will be possible to introduce an approach allowing MBS for CPS with the concern to cover some challenges of MBS for CPS with a simplistic, yet comprehensive, formalism.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Oussama Ayoub; Christophe Rodrigues; Nicolas Travers
Un générateur d'extension de documents non supervisé pour moteurs de recherche Conférence
GdR Traitement Automatique de la Langue, CNRS@IRISA Rennes, 2022.
@conference{ayoub_2079,
title = {Un générateur d'extension de documents non supervisé pour moteurs de recherche},
author = {Oussama Ayoub and Christophe Rodrigues and Nicolas Travers},
url = {https://gdr-tal-rennes.sciencesconf.org/resource/page/id/2},
year = {2022},
date = {2022-10-01},
booktitle = {GdR Traitement Automatique de la Langue},
address = {Rennes},
organization = {CNRS@IRISA},
abstract = {Fournir un moteur de recherche pertinent dans un contexte flexible est une tache complexe du `a lh et erog e-n eit e des donn ees (vocabulaire, taille des documents, qualit e des donn ees), leurs volumes avec des corpuscons equents. Cela pose des probl`emes sur le traitement de texte et de recherche dinformation, aussi biensur lanalyse du contenu que sur la pertinence des r esultats de requetes.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Edouard Pignot
Serious game design as control practice Conférence
Control-as-Practice workshop, ESSEC Business School Paris, France, 2022.
@conference{pignot_2145,
title = {Serious game design as control practice},
author = {Edouard Pignot},
url = {https://www.essec.edu/en/news/management-control-practice-workshop-temporal-perspectives/},
year = {2022},
date = {2022-10-01},
booktitle = {Control-as-Practice workshop},
address = {Paris, France},
organization = {ESSEC Business School},
abstract = {While the workplace literature has discussed playfulness as the nature of work as well as the designing of work, there is only limited research that focuses on how designers identify and disidentify with games over time. A Lacanian enquiry into the self-identification of serious game designers may prove particularly worthwhile, as designers first need to cope with their own fantasmatic attachment if they are to develop serious games that seduce others. A brief case study investigates this issue through the ethnographic observation of how lack, identification and fantasy are all dynamically intertwined in the context of the development of a serious medical game aimed at the elderly. The findings describe the process through which designers confront their gamified scenario, and how they overcome the resulting tension. The discussion reveals the traumatic origin of their playful fantasy, namely the affective underside of suffering and conflict. However, ethical designers resist, and eventually undo, gamification through ambivalent acting and ?crossing? the fantasy. Finally, the conclusion presents broader implications for serious game design and future avenues for empirical research in the Lacanian tradition.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Ihab Taleb; Guillaume Guérard; Frédéric Fauberteau; Nga Nguyen
A Holonic Smart Grid Model for Isolated Areas Conférence
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, PhD Forum, Grenoble, France, 2022.
@conference{taleb_1934,
title = {A Holonic Smart Grid Model for Isolated Areas},
author = {Ihab Taleb and Guillaume Guérard and Frédéric Fauberteau and Nga Nguyen},
url = {https://2022.ecmlpkdd.org/index.php/phd-forum/},
year = {2022},
date = {2022-09-01},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, PhD Forum},
address = {Grenoble, France},
abstract = {Since the beginning of the $21$st century, smart grid models are gaining more and more importance as they play a major role in the demand side management and the flexible integration of renewable energy sources. Indeed, diverse architectures and models have been proposed for smart grids. In this paper, we propose a model composed of two parts, the first part is to optimize, on a weekly scale, thermal generation, and energy storage while prioritizing renewable energy sources to minimize global costs and global warming effects. The second part consists of, having optimized production and storage, the negotiation between neighboring holons on the same level using evolutionary game theory, combined with simulated annealing and Q-learning approaches to ensure a back and forth between the various levels.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Yuehgoh Foutse; Sonia Djebali; Nicolas Travers
A Technology Intelligence Recommendation System based on Multiplex Networks Conférence
MaDICS 2022, CNRS Lyon, France, 2022.
@conference{foutse_1833,
title = {A Technology Intelligence Recommendation System based on Multiplex Networks},
author = {Yuehgoh Foutse and Sonia Djebali and Nicolas Travers},
url = {https://www.madics.fr/event/symposium-madics-4/},
year = {2022},
date = {2022-07-01},
booktitle = {MaDICS 2022},
pages = {2},
address = {Lyon, France},
organization = {CNRS},
abstract = {Mon travail de recherche se focalise sur les systèmes de recommandation pour la veille technologique chez COEXEL, une société fondée par Vincent Boisard, acteur majeur de ce domaine grâce à son outil de gestion électronique de l'information basée sur le web, appelée Mytwip®. Ces données ciblées correspondent à des évolutions technologiques visibles sur le Web pour lesquelles un expert du domaine souhaite rester informé de la concurrence ou des usages.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Nicolas Travers
MaDICS 2022, CNRS Lyon, France, 2022.
@conference{travers_1834,
title = {Panel : Représentation du contenu et extraction de connaissances à partir des textes : les systèmes de gestion de graphes, l'intelligence artificielle et les approches sémantiques},
author = {Nicolas Travers},
url = {https://www.madics.fr/event/symposium-madics-4/},
year = {2022},
date = {2022-07-01},
booktitle = {MaDICS 2022},
address = {Lyon, France},
organization = {CNRS},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Guillaume Guérard; Sonia Djebali; Quentin Gabot
Tourists Profiling by Interest Analysis Conférence
MaDICS 2022, Lyon, France, 2022.
@conference{guerard_1835,
title = {Tourists Profiling by Interest Analysis},
author = {Guillaume Guérard and Sonia Djebali and Quentin Gabot},
url = {https://www.madics.fr/event/symposium-madics-4/},
year = {2022},
date = {2022-07-01},
booktitle = {MaDICS 2022},
address = {Lyon, France},
abstract = {I'm a research student in MSc in Computer Science, my research study concern the behaviors of tourists using digital traces they leave during their travels on social medias. The studies conducted on diverse aspects of tourism focus on quantitative aspects of digital traces to reach its conclusions. In my works, I suggest a study focused on both qualitative and quantitative aspect of digital traces to understand the dynamics governing tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Quantin Gabot; Guillaume Guérard; Sonia Djebali
Tourists profiling by interest analysis Conférence
Groupe de Recherche : Masses de Données, Informations et Connaissances en Sciences (MADICS), CNRS Lyon, France, 2022.
@conference{gabot_2245,
title = {Tourists profiling by interest analysis},
author = {Quantin Gabot and Guillaume Guérard and Sonia Djebali},
url = {https://www.madics.fr/},
year = {2022},
date = {2022-07-01},
booktitle = {Groupe de Recherche : Masses de Données, Informations et Connaissances en Sciences (MADICS)},
address = {Lyon, France},
organization = {CNRS},
abstract = {With the recent digital revolution, analyzing of tourists' behaviorsand research fields associated with it have changed profoundly.It is now easier to examine behaviors of tourists using digital traces they leave during their travels. The studies conducted on diverse aspects of tourism focus on quantitative aspects of digital traces to reach its conclusions.In this paper, we suggest a study focused on both qualitative andquantitative aspect of digital traces to understand the dynamics governing tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Adrien Lefevre; Xiao Xiao; Clément Duhart
The Interactive Musical Score: An Electronic Score To Hear The Notes From A Paper Score Conférence
New Interfaces for Musical Expression, Aotearoa, New Zealand, 2022.
@conference{lefevre_1830,
title = {The Interactive Musical Score: An Electronic Score To Hear The Notes From A Paper Score},
author = {Adrien Lefevre and Xiao Xiao and Clément Duhart},
url = {https://nime2022.org/program.html},
year = {2022},
date = {2022-06-01},
booktitle = {New Interfaces for Musical Expression},
address = {Aotearoa, New Zealand},
abstract = {The Interactive Score is a novel instrumental device for children's solfege learning. Paper scores are overlaid onto a staff drawn with conductive ink and connected to an Adafruit musical box. Pressing a note in the score triggers its sound, and running fingers over the notes plays a melody.
Learning to read music from the score is an essential part of Western classical music training. Traditionally, children learn the different music notes by singing or playing notes on an instrument, guided by a teacher. We envision a way for children to learn the correspondence between notation and sound by directly touching the score.
The Interactive Score is effortless to use and allows children to make discoveries on their own. The correspondence between the visual, the tactile , and the sound can aid in learning.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Madalena Nicolae; Valentin Martinez-Missir; Marc Teyssier
The Rise of Organic Soft Robotics : Strategies for Fabrication Conférence
ACM CHI 2022 Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 2022.
@conference{nicolae_1812,
title = {The Rise of Organic Soft Robotics : Strategies for Fabrication},
author = {Madalena Nicolae and Valentin Martinez-Missir and Marc Teyssier},
editor = {ACM},
url = {https://programs.sigchi.org/chi/2022},
year = {2022},
date = {2022-05-01},
booktitle = {ACM CHI 2022 Conference on Human Factors in Computing Systems},
address = {New Orleans, LA, USA},
edition = {2022},
abstract = {Soft Robotics rapidly emerged as an area of interest in Human-Computer Interaction (HCI). Simple DIY fabrication processes and platforms were re-adapted from traditional digital fabrication tools, resulting in making soft materials-based prototyping accessible to the design and maker community.
There is a growing interest in the use of bio-based and bio-degradable materials in design and prototyping, creating discussions around sustainable design practices as new motor of interdisciplinary exchange. These materials are abundant in Nature, have properties extensively explored in bio-engineering, and are potent in driving sustainability.
However, soft robotics and shape-changing interfaces are not yet developed using these new materials alternatives.
In this context, we highlight potential materials and advocate for their democratized use in soft robotics and HCI. More precisely, we propose an empiric overview of the main challenges in prototyping with bio-based and/or bio-degradable materials, pointing therefore how fabrication processes and tools need to be adjusted once again.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Sonia Djebali; Nicolas Travers; Gaël Chareyron
Indicateurs de Mesure pour la Mobilité Touristique Conférence
40ème Congrès INFORSID 2022, Dijon, France, 2022.
@conference{djebali_1832,
title = {Indicateurs de Mesure pour la Mobilité Touristique},
author = {Sonia Djebali and Nicolas Travers and Gaël Chareyron},
url = {https://inforsid2022.sciencesconf.org/},
year = {2022},
date = {2022-05-01},
booktitle = {40ème Congrès INFORSID 2022},
pages = {4},
address = {Dijon, France},
abstract = {Les traces numériques laissées par les utilisateurs sur les réseaux sociaux sont deve- nues un moyen populaire d'analyse du comportement des touristes dont l'analyse a un impact dans le marketing touristique pour construire des outils d'aide à la décision dans le tourisme. Nous proposons des mesures pour capturer la mobilité et la propagation touristique sur diffé- rentes zones qui s'appuie sur le réseau TripAdvisor et la base de données graphes Neo4j.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Jean-Éric Pelet; Basma Taieb
LES DETERMINANTS DE L'ADOPTION DU LIVE SHOPPING : L'EXPERTISE DE L'ANIMATEUR ET L'EXPERIENCE DE FLOW Conférence
Congrès International de l'AFM, Tunis, Tunisie, 2022.
@conference{pelet_2058,
title = {LES DETERMINANTS DE L'ADOPTION DU LIVE SHOPPING : L'EXPERTISE DE L'ANIMATEUR ET L'EXPERIENCE DE FLOW},
author = {Jean-Éric Pelet and Basma Taieb},
year = {2022},
date = {2022-05-01},
booktitle = {Congrès International de l'AFM},
address = {Tunis, Tunisie},
abstract = {L'article examine dans quelle mesure le live shopping constitue un moyen efficace de vendre sur Internet. Au travers du cadre SOR, il examine comment cibler efficacement les utilisateurs. Une étude exploratoire menée auprès de 27 répondants, conduite suite au replay (direct enregistré) identifie les facteurs tels que le côté pratique et dynamique ainsi que l'aspect rassurant, agréable et confortable d'une session de live shopping. La synchronicité de l'animateur/-trice renforce la perception de flow. L'expérience de l'utilisateur s'en voit accrue, entraînant des intentions de participer et d'acheter supérieures. Une étude confirmatoire en ligne conduite auprès de 51 répondants ayant déjà participé à un live shopping, permet de voir le rôle joué par l'animateur/-trice. L'expérience de flow a une influence positive sur les intentions de participer et d'acheter. Des effets alignés sur les seules références qui existent sur le marché : chinoises. Conclusion, discussion, limites et voies futures de recherche découlent des résultats.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Jean-Éric Pelet; Basma Taieb
Atténuer les impacts environnementaux de la chaîne d'approvisionnement du vin grâce aux vélos cargos Conférence
Association Information et Management - 27ème édition, Carry-le-Rouet, 2022.
@conference{pelet_2059,
title = {Atténuer les impacts environnementaux de la chaîne d'approvisionnement du vin grâce aux vélos cargos},
author = {Jean-Éric Pelet and Basma Taieb},
url = {https://aim2022.sciencesconf.org/data/pages/Programme_livret_conference_AIM_2022_Final.pdf},
year = {2022},
date = {2022-05-01},
booktitle = {Association Information et Management - 27ème édition},
address = {Carry-le-Rouet},
keywords = {},
pubstate = {online},
tppubtype = {conference}
}
Benjamin Bobbia
Donsker's Theorem for local Data-Driven Empirical Measure Conférence
Séminaire du laboratoire Modal X, Nanterre, France, 2022.
@conference{bobbia_1773,
title = {Donsker's Theorem for local Data-Driven Empirical Measure},
author = {Benjamin Bobbia},
url = {x},
year = {2022},
date = {2022-02-01},
booktitle = {Séminaire du laboratoire Modal X},
address = {Nanterre, France},
abstract = {Nowadays, empirical processes are well known objects. A reason that push forward theirs studies is that, in many models, we can write the estimators as images of empirical measures. In this work we investigate the case of local empirical measures built over a sub-sample with data conditioned to be in a certain area. There exists numerous results about such question, but what can we say if the area of interest is data driven ? In the present work we present a general framework which allows to derive asymptotic results for this particular empirical measures (with "low" cost in terms of technicality and assumptions). Then, we use this approach in the framework of extreme values theory deriving tail and quantile estimations.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Edouard Pignot; Mark Thompson
Engaging with emotions in sociomaterial practices: An affect-based model of agency Conférence
Organization, Artefacts, Practices Workshop, San Francisco, United States, 2022.
@conference{pignot_2146,
title = {Engaging with emotions in sociomaterial practices: An affect-based model of agency},
author = {Edouard Pignot and Mark Thompson},
url = {https://workshopoap.dauphine.fr},
year = {2022},
date = {2022-01-01},
booktitle = {Organization, Artefacts, Practices Workshop},
address = {San Francisco, United States},
abstract = {We make the case for broadening our understanding of the interaction between social and material dimensions of organizing, in order to include a more explicit engagement with emotions, which we deepen to incorporate an account of affect. We build on, and extend, some key contributions on affect theory to date within and outside IS literature, before introducing several concepts from management studies that enable a materially-informed engagement with the circulation of affect, leading to an arguably richer and more granular understanding of the relational nature of IS agency. We then apply these concepts in a short empirical vignette, in which affect plays a central role in explaining why some technologies ?make it?, whilst others do not. We conclude by discussing ontological, epistemological and practical opportunities for further research.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Gaël Chareyron; Sébastien Jacquot
Dans: Ascaniis, Silvia De; Cantoni, Lorenzo (Ed.): Handbook on Heritage, Sustainable Tourism and Digital Media, p. 153-166, Edward Elgar Publishing, 2022, ISBN: 9781788970075.
@incollection{chareyron_1807,
title = {Studying tourism practices at heritage sites through online published content: the case of the World Heritage Site Strasbourg, Grande-Ile and Neustadt},
author = {Gaël Chareyron and Sébastien Jacquot},
editor = {Silvia De Ascaniis and Lorenzo Cantoni},
url = {https://www.elgaronline.com/view/edcoll/9781788970075/9781788970075.00021.xml},
issn = {9781788970075},
year = {2022},
date = {2022-02-01},
booktitle = {Handbook on Heritage, Sustainable Tourism and Digital Media},
pages = {153-166},
publisher = {Edward Elgar Publishing},
abstract = {The development of web 2.0 has transformed the role of tourists in tourism promotion, in relation with the development of user-generated content. This chapter is a methodological contribution to the study of user-generated content on tourist social networks, which represent the point of view of the tourists themselves. It presents methods to study tourism practices at heritage sites by analyzing images from Flickr and reviews published online on TripAdvisor. This analysis of online social networks is a fundamental tool now for the tourist observation of heritage destinations, to understand how the tourists experience and live the destination, and the meanings they give to the visited areas and sites. This requires combining cartographic analysis, statistical analysis and content analysis. We apply these methods to study tourism in Strasbourg, in relation with the extension of the UNESCO perimeter in 2018. The analysis of the geolocalization of Flickr photographs and the content analysis of TripAdvisor reviews enable us question the visibility and tourist coherence of the new perimeter, and to identify the representations attached to its monuments and sites.},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Rhett Dobinson; Marc Teyssier; Juergen Steimle; Bruno Fruchard
MicroPress: Detecting Pressure and Hover Distance in Thumb-to-Finger Interactions Inproceedings
Dans: SIGGRAPH, (Ed.): Spatial User Interaction, p. 1-10, SIGGRAPH, online, 2022, ISBN: 978-1-4503-9948-7.
@inproceedings{dobinson_2052,
title = {MicroPress: Detecting Pressure and Hover Distance in Thumb-to-Finger Interactions},
author = {Rhett Dobinson and Marc Teyssier and Juergen Steimle and Bruno Fruchard},
editor = {SIGGRAPH},
url = {https://dl.acm.org/doi/10.1145/3565970.3567698},
issn = {978-1-4503-9948-7},
year = {2022},
date = {2022-12-01},
booktitle = {Spatial User Interaction},
volume = {4},
pages = {1-10},
publisher = {SIGGRAPH},
address = {online},
abstract = {Thumb-to-finger interactions leverage the thumb for precise, eyes-free input with high sensory bandwidth. While previous research explored gestures based on touch contact and finger movement on the skin, interactions leveraging depth such as pressure and hovering input are still underinvestigated. We present MicroPress, a proof-of-concept device that can detect both, precise thumb pressure applied on the skin and hover distance between the thumb and the index finger. We rely on a wearable IMU sensor array and a bi-directional RNN deep learning approach to enable fine-grained control while preserving the natural tactile feedback and touch of the skin. We demonstrate MicroPress' efficacy with two interactive scenarios that pose challenges for real-time input and we validate its design with a study involving eight participants. With short per user calibration steps, MicroPress is capable of predicting hover distance with 0.57mm accuracy, and on-skin pressure with 6.71% normalized pressure error at 6 locations on the index finger.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Julien Martin-Prin; Imen Ouled Dlala; Nicolas Travers; Said Jabbour
A Distributed SAT-based Framework for Closed Frequent Itemset Mining Inproceedings
Dans: International Conference on Advanced Data Mining and Applications, Springer, Brisbane, Australia, 2022.
@inproceedings{martin-prin_1890,
title = {A Distributed SAT-based Framework for Closed Frequent Itemset Mining},
author = {Julien Martin-Prin and Imen Ouled Dlala and Nicolas Travers and Said Jabbour},
url = {https://adma2022.uqcloud.net/important_date.html},
year = {2022},
date = {2022-11-01},
booktitle = {International Conference on Advanced Data Mining and Applications},
publisher = {Springer},
address = {Brisbane, Australia},
abstract = {Frequent Itemset Mining is an essential part of data mining. SAT-based approaches that extract frequent itemsets in big data encounter significant challenges when computing power and storage capacity are limited. This paper proposes an efficient distributed SAT-based framework for the Closed Frequent Itemset Mining problem (CFIM) which minimizes communications throughout the distributed architecture and reduces bottlenecks due to shared memory. Moreover, it enhances scalability and fault tolerance. This approach makes use of a Computation-Distributed Paradigm to enumerate efficiently the set of all closed itemsets, by reducing the processing time. To the best of our knowledge, this paper presents the first attempt towards a distributed SAT-based approach for CFIM. An extensive empirical evaluation on various real-word datasets shows the efficiency of the approach.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hugo Prevoteau; Sonia Djebali; Zhao Laiping; Nicolas Travers
Propagation Measure on Circulation Graphs for Tourism Behavior Analysis Inproceedings
Dans: Bases de Données Avancées, Clermont-Ferrand, France, 2022.
@inproceedings{prevoteau_1921,
title = {Propagation Measure on Circulation Graphs for Tourism Behavior Analysis},
author = {Hugo Prevoteau and Sonia Djebali and Zhao Laiping and Nicolas Travers},
url = {https://bda2022.sciencesconf.org/resource/page/id/13},
year = {2022},
date = {2022-10-01},
booktitle = {Bases de Données Avancées},
address = {Clermont-Ferrand, France},
abstract = {Social network analysis has widespread in recent years, especially in digital tourism. Indeed the large amount of data that tourists produce during their travels represents an effective source to un- derstand their behavior and is of great importance for tourism stakeholders. This paper studies the propagation effect of tourists on the territory thanks to geotagged circulation graphs.
A new weighted measure is introduced for circulation charac- terization based on both topologies and distances. This measure helps to determine the behavior of tourists on local and global areas. An optimization strategy based on spanning trees is applied to reduce the computation on the whole graph while keeping a good approximation of the behavior.},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Madalena Nicolae; Marion Koelle; Aditya Shekhar Nittala; Marc Teyssier; Juergen Steimle
Prototyping Soft Devices with Interactive Bioplastics Inproceedings
Dans: ACM, (Ed.): Proceedings of the 335th Annual ACM Symposium on User Interface Software and Technology, Bend OR USA, 2022, ISBN: 978-1-4503-9320-1.
@inproceedings{nicolae_2050,
title = {Prototyping Soft Devices with Interactive Bioplastics},
author = {Madalena Nicolae and Marion Koelle and Aditya Shekhar Nittala and Marc Teyssier and Juergen Steimle},
editor = {ACM},
url = {https://dl.acm.org/doi/abs/10.1145/3526113.3545623},
issn = {978-1-4503-9320-1},
year = {2022},
date = {2022-10-01},
booktitle = {Proceedings of the 335th Annual ACM Symposium on User Interface Software and Technology},
address = {Bend OR USA},
abstract = {Designers and makers are increasingly interested in leveraging bio-based and bio-degradable ?do-it-yourself' (DIY) materials for sustainable prototyping. Their self-produced bioplastics possess compelling properties such as self-adhesion but have so far not been functionalized to create soft interactive devices, due to a lack of DIY techniques for the fabrication of functional electronic circuits and sensors. In this paper, we contribute a DIY approach for creating Interactive Bioplastics that is accessible to a wide audience, making use of easy-to-obtain bio-based raw materials and familiar tools. We present three types of conductive bioplastic materials and their formulation: sheets, pastes and foams. Our materials enable additive and subtractive fabrication of soft circuits and sensors. Furthermore, we demonstrate how these materials can substitute conventional prototyping materials, be combined with off-the-shelf materials.},
note = {Best Paper and Best Demo},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Flavien Deseure-Charron; Sonia Djebali; Guillaume Guérard
Clustering Method for Touristic Photographic Spots Recommendation Inproceedings
Dans: 18th International Conference on Advanced Data Mining and Applications, Brisbane, Australia, 2022.
@inproceedings{deseure-charron_1935,
title = {Clustering Method for Touristic Photographic Spots Recommendation},
author = {Flavien Deseure-Charron and Sonia Djebali and Guillaume Guérard},
year = {2022},
date = {2022-08-01},
booktitle = {18th International Conference on Advanced Data Mining and Applications},
address = {Brisbane, Australia},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Sonia Djebali; Quentin Gabot; Guillaume Guérard
Hierarchical Clustering and Measure for Tourism Profiling Inproceedings
Dans: 6th APWeb-WAIM International Joint Conference on Web and Big Data, Nanjing, China, 2022.
@inproceedings{djebali_1936,
title = {Hierarchical Clustering and Measure for Tourism Profiling},
author = {Sonia Djebali and Quentin Gabot and Guillaume Guérard},
year = {2022},
date = {2022-07-01},
booktitle = {6th APWeb-WAIM International Joint Conference on Web and Big Data},
address = {Nanjing, China},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Jihane Mali; Ahvar Shohreh; Faten Atigui; Ahmed Azough; Nicolas Travers
A Global Model-Driven Denormalization Approach for Schema Migration Inproceedings
Dans: International Conference on Research Challenges in Information Science, p. 529-545, Springer, Barcelona, Spain, 2022.
@inproceedings{mali_1804,
title = {A Global Model-Driven Denormalization Approach for Schema Migration},
author = {Jihane Mali and Ahvar Shohreh and Faten Atigui and Ahmed Azough and Nicolas Travers},
url = {https://link.springer.com/chapter/10.1007/978-3-031-05760-1_31},
year = {2022},
date = {2022-05-01},
booktitle = {International Conference on Research Challenges in Information Science},
volume = {446},
pages = {529-545},
publisher = {Springer},
address = {Barcelona, Spain},
abstract = {Abstract. With data's evolution in terms of volume, variety, and ve- locity, Information Systems (IS) administrators have to steadily adapt their data model and choose the best solution(s) to store and manage data in accordance with users' requirements. In this context, many exist- ing solutions transform a source data model into a target one, but none of them leads the administrator to choose the most suitable model by offering a limited solution space automatically calculated and adapted to his needs. We propose ModelDrivenGuide, an automatic global approach for leading the model transformation process. It starts by transforming the conceptual model into a logical model, and it defines refinement rules that help to generate all possible data models. Our approach then relies on a heuristic to reduce the search space by avoiding cycles and redun- dancies. We also propose a formalisation of the denormalization process and we discuss the completeness and the complexity of our approach.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hugo Prevoteau; Sonia Djebali; Zhao Laiping; Nicolas Travers
Propagation Measure on Circulation Graphs for Tourism Behavior Analysis Inproceedings
Dans: ACM Symposium on Applied Computing, ACM, Brno, Czec Republic, 2022.
@inproceedings{prevoteau_1749,
title = {Propagation Measure on Circulation Graphs for Tourism Behavior Analysis},
author = {Hugo Prevoteau and Sonia Djebali and Zhao Laiping and Nicolas Travers},
url = {https://www.sigapp.org/sac/sac2022/index.html},
year = {2022},
date = {2022-04-01},
booktitle = {ACM Symposium on Applied Computing},
publisher = {ACM},
address = {Brno, Czec Republic},
abstract = {Social network analysis has widespread in recent years, especially in digital tourism. Indeed the large amount of data that tourists produce during their travels represents an effective source to understand their behavior and is of great importance for tourism stakeholders. This paper studies the propagation effect of tourists on the territory thanks to geotagged circulation graphs. Those graphs reflect traffic flows which need to be analyzed over time and space. A new weighted measure is introduced for circulation characterization based on both topologies and distances. This measure helps to determine the behavior of tourists on local and global areas. An optimization strategy based on spanning trees is applied to reduce the computation on the whole graph while keeping a good approximation of the behavior. The approach is simulated on various graphs and evaluated experimentaly over a real dataset at various geographic zones, scales, communities, and time.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Christophe Haikal; Pegah Alizadeh; Christophe Rodrigues; Bi Chongke
Place Embedding across Cities in Location-based Social Networks Inproceedings
Dans: ACM Symposium on Applied Computing, Brno, Czech Republic, 2022.
@inproceedings{haikal_1767,
title = {Place Embedding across Cities in Location-based Social Networks},
author = {Christophe Haikal and Pegah Alizadeh and Christophe Rodrigues and Bi Chongke},
url = {https://www.sigapp.org/sac/sac2022/file2022/TOC-Jan-23-2022.pdf},
year = {2022},
date = {2022-04-01},
booktitle = {ACM Symposium on Applied Computing},
address = {Brno, Czech Republic},
abstract = {In the urban computing field, analysing human mobility patterns are used to understand tourists and residents behaviours, or urban areas functionalities. Transferring the information from one city to another also assists urban strategists in comparing two cities
and applying their knowledge from one to another, such as plan- ning new touristic attractions or implementing some successful urban strategies in new cities. For this goal, in this work, we propose a twofold semi-supervised approach: we first propose a place embedding method based on users mobility trajectories in each city individually, second we learn a place translation function between two cities using the set of reviews written for each place. The translation function is based on measuring textual and semantic
similarities of the reviews. Extensive experiments on two french metropolitan areas (Lille and Bordeaux) based on the extracted data from Trip-Advisor demonstrate the effectiveness of our approach.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Adam Talbi; Arthur Viens; Louis-Clément Leroux; Morgane François; Mathias Caillol; Nga Nguyen
Feature Importance And Deep Learning For Android Malware Detection Inproceedings
Dans: International Conference on Information Systems Security and Privacy, Vienna, Austria, 2022.
@inproceedings{talbi_1741,
title = {Feature Importance And Deep Learning For Android Malware Detection},
author = {Adam Talbi and Arthur Viens and Louis-Clément Leroux and Morgane François and Mathias Caillol and Nga Nguyen},
url = {https://icissp.scitevents.org/Home.aspx},
year = {2022},
date = {2022-02-01},
booktitle = {International Conference on Information Systems Security and Privacy},
address = {Vienna, Austria},
abstract = {Effective and efficient malware detection is key in today's world to prevent systems from being compromised, to protect personal user data, and to tackle other security issues. In this paper, we worked on Android malware detection by using static analysis features and deep learning methods to separate benign applications from malicious ones. Custom feature vectors are extracted from the Drebin and the AndroZoo dataset and different data science methods of feature importance are used to improve the results of Deep Neural Network classification.
Experimental results on the Drebin dataset were significant with 99.31% accuracy in malware detection. We extended our work on more recent applications with a complete pipeline for the AndroZoo dataset, with about 40,000 APKs used from 2014 to 2021 pre-tagged as reported malicious or not. The pipeline includes static features extracted from the manifest file and bytecode such as suspicious behaviors, restricted and suspicious API calls, etc. The accuracy result for AndroZoo is 97.7%, confirming the power of deep learning on Android malware detection.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali; Quentin Gabot
Tourists Profiling by Interest Analysis Inproceedings
Dans: International Conference on Advanced Data Mining and Applications, p. 42-53, Springer, Cham, Virtual, 2022, ISBN: 978-3-030-95407-9.
@inproceedings{guerard_1662,
title = {Tourists Profiling by Interest Analysis},
author = {Guillaume Guérard and Sonia Djebali and Quentin Gabot},
url = {https://link.springer.com/chapter/10.1007/978-3-030-95408-6_4},
issn = {978-3-030-95407-9},
year = {2022},
date = {2022-01-01},
booktitle = {International Conference on Advanced Data Mining and Applications},
volume = {13088},
pages = {42-53},
publisher = {Springer, Cham},
address = {Virtual},
abstract = {With the recent digital revolution, analyzing of tourists' behaviors
and research elds associated with it have changed profoundly.
It is now easier to examine behaviors of tourists using digital traces they
leave during their travels. The studies conducted on diverse aspects of
tourism focus on quantitative aspects of digital traces to reach its conclusions.
In this paper, we suggest a study focused on both qualitative and
quantitative aspect of digital traces to understand the dynamics governing
tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Peter Bou Saba
Sur la prise de décision, peut-on imaginer que l'IA décide de tout à la place des managers ? Divers
Monde des Grandes Ecoles et Universités, 2022.
@misc{bou_saba_1945,
title = {Sur la prise de décision, peut-on imaginer que l'IA décide de tout à la place des managers ?},
author = {Peter Bou Saba},
url = {https://www.mondedesgrandesecoles.fr/pour-ce-qui-est-de-la-prise-de-decision-peut-on-imaginer-que-lia-decide-de-tout-a-la-place-des-managers/},
year = {2022},
date = {2022-09-01},
howpublished = {Monde des Grandes Ecoles et Universités},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Peter Bou Saba
Etre légitime pour diriger des services informatiques Divers
FNEGE, 2022.
@misc{bou_saba_1901,
title = {Etre légitime pour diriger des services informatiques},
author = {Peter Bou Saba},
url = {https://www.xerficanal.com/strategie-management/emission/Peter-Saba-Etre-legitime-pour-diriger-des-services-informatiques_3750699.html},
year = {2022},
date = {2022-06-01},
howpublished = {FNEGE},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Peter Bou Saba; Georges Aoun; Samuel Fosso Wamba
Cutting-edge technologies for the development of Asian countries Divers
JOURNAL OF ASIA BUSINESS STUDIES, 2022.
@misc{bou_saba_1903,
title = {Cutting-edge technologies for the development of Asian countries},
author = {Peter Bou Saba and Georges Aoun and Samuel Fosso Wamba},
url = {https://www.emerald.com/insight/content/doi/10.1108/JABS-04-2022-494/full/pdf?title=guest-editorial-cutting-edge-technologies-for-the-development-of-asian-countries},
year = {2022},
date = {2022-04-01},
volume = {VOL. 16 NO. 2 2022},
pages = {pp. 225-229},
howpublished = {JOURNAL OF ASIA BUSINESS STUDIES},
note = {Guest Editorial},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Antoine Harfouche; Peter Bou Saba; Georges Aoun; Samuel Fosso Wamba
Cutting-edge technologies for the development of Asian countries Divers
JOURNAL OF ASIA BUSINESS STUDIES, 2022.
@misc{harfouche_1903,
title = {Cutting-edge technologies for the development of Asian countries},
author = {Antoine Harfouche and Peter Bou Saba and Georges Aoun and Samuel Fosso Wamba},
url = {https://www.emerald.com/insight/content/doi/10.1108/JABS-04-2022-494/full/pdf?title=guest-editorial-cutting-edge-technologies-for-the-development-of-asian-countries},
year = {2022},
date = {2022-04-01},
volume = {VOL. 16 NO. 2 2022},
pages = {pp. 225-229},
howpublished = {JOURNAL OF ASIA BUSINESS STUDIES},
note = {Guest Editorial},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Quentin Grossetti; Cédric Du Mouza; Nicolas Travers; Camélia Constantin
Reducing the filter bubble effect on Twitter by considering communities for recommendations Article de journal
Dans: International Journal of Web Information Systems, vol. 17, no. 6, p. 728?752, 2021.
@article{grossetti_1663,
title = {Reducing the filter bubble effect on Twitter by considering communities for recommendations},
author = {Quentin Grossetti and Cédric Du Mouza and Nicolas Travers and Camélia Constantin},
url = {https://www.emerald.com/insight/content/doi/10.1108/IJWIS-06-2021-0065/full/html},
year = {2021},
date = {2021-12-01},
journal = {International Journal of Web Information Systems},
volume = {17},
number = {6},
pages = {728?752},
abstract = {Purpose
Social network platforms are considered today as a major communication mean. Their success leads to an unprecedented growth of user-generated content; therefore, finding interesting content for a given user has become a major issue. Recommender systems allow these platforms to personalize individual experience and increase user engagement by filtering messages according to user interest and/or neighborhood. Recent research results show, however, that this content personalization might increase the echo chamber effect and create filter bubbles that restrain the diversity of opinions regarding the recommended content.
Design/methodology/approach
The purpose of this paper is to present a thorough study of communities on a large Twitter data set that quantifies the effect of recommender systems on users' behavior by creating filter bubbles. The authors further propose their community-aware model (CAM) that counters the impact of different recommender systems on information consumption.
Findings
The authors propose their CAM that counters the impact of different recommender systems on information consumption. The study results show that filter bubbles effects concern up to 10% of users and the proposed model based on the similarities between communities enhance recommendations.
Originality/value
The authors proposed the CAM approach, which relies on similarities between communities to re-rank lists of recommendations to weaken the filter bubble effect for these users.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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