Toutes nos publications
La liste complète des publications de l’Institut Henri Fayol peut être consultée sur l’archive HAL CCSD CNRS via notre portail HAL-EMSE.
Nos dernières publications sur l’archive HAL CCSD CNRS
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- Cet avis d’expert propose une lecture structurée de la sobriété numérique en entreprise, à partir d’une double enquête qualitative et quantitative. Le lecteur y découvrira d’abord la diversité des perceptions et comportements face à cet enjeu, illustrée par une typologie en cinq niveaux d’engagement allant de la réfutation à la désadoption. L’avis montre ensuite que […]
- In this paper, we propose a fully automated method for detecting changes in the mean of piecewise Conditional Heteroskedastic Autoregressive Nonlinear (CHARN) models. Detecting weak changes, those of small magnitude, is crucial in financial and economic applications, where they may signal important structural breaks. Our approach combines an adaptive model selection algorithm with a robust […]
- We investigate the statistical properties of upper records observed in a time series {Xt}t≥1 under four widely studied record models: the Classical Record Model, the Yang-Nevzorov Model, the Linear Drift Model, and the Discrete-Time Random Walk Model. Our study focuses on the likelihood function constructed from the pairs of record values and their occurrence indicators, […]
- In Multi-Agent Systems (MAS), the regulation of agents aims to define a balance between the control of the system and the agents' autonomy. The ability of a MAS to adapt its regulations at run-time is an important feature that enables it to be flexible to changing situations. There is no unique approach to designing such […]
- Purpose Agile transformation has gained interest, but practical guidance remains limited. This paper examines the synergistic development of process orientation, knowledge management and agile thinking as foundational pillars of successful transformation. Design/methodology/approach A systematic literature review identifies enablers of agile transformation through the lenses of process, knowledge and agile thinking. Findings The paper integrates enablers […]
- Depuis les années 1970, le rapport Meadows a mis en évidence la crise socio-écologique actuelle. La dernière décennie a vu une prise de conscience collective et la nécessité de lutter contre le changement climatique, ce qui entraîne une mobilisation pour développer des connaissances, des réglementations et des technologies visant à intensifier la décarbonation de la […]
- The industry is currently affected by resource scarcity, including energy, water, gas, etc. Managing these resources has not been given much attention by the industry, even though it directly affects its performance. With rising energy costs, regulatory requirements, and environmental issues, it becomes necessary to estimate and control the energy consumption of manufacturing systems. This […]
- We are working towards defining a new class of Web-based Multi-Agent Systems (MAS) that can inherit the architectural properties of the Web (scalability, heterogeneity, evolvability, etc.), preserve the architectural properties of MAS (adaptability, openness, robustness, etc.), and are human-centric (usable, transparent, accountable, etc.). Our aim is to leverage the full potential of the Web as […]
- Inspired by the recent focus of decentralized data for Web applications, as supported in infrastructures such as SOLID, this group discussed the idea of decentralized hypermedia applications in general. In particular, this working group focused on understanding how to integrate the technologies and models used and proposed by three areas of research targeted by the […]
Nos dernières publications en texte intégral
- Depuis les années 1970, le rapport Meadows a mis en évidence la crise socio-écologique actuelle. La dernière décennie a vu une prise de conscience collective et la nécessité de lutter contre le changement climatique, ce qui entraîne une mobilisation pour développer des connaissances, des réglementations et des technologies visant à intensifier la décarbonation de la […]
- The industry is currently affected by resource scarcity, including energy, water, gas, etc. Managing these resources has not been given much attention by the industry, even though it directly affects its performance. With rising energy costs, regulatory requirements, and environmental issues, it becomes necessary to estimate and control the energy consumption of manufacturing systems. This […]
- La notion de coût résidentiel a progressivement émergé dans le contexte d’un intérêt croissant pour prendre en compte les interactions entre localisation résidentielle, logement et mobilité, et ainsi mieux saisir les enjeux sociaux et environnementaux des dynamiques territoriales. Cependant, les données statistiques existantes, construites en silos thématiques, ne permettent pas d’outiller cette notion pour voir […]
- Detecting weak changes in time series is crucial in many fields, particularly in finance and economics, where subtle structural shifts may precede major market events. Traditional methods often fail to identify these small yet impactful changes. This work proposes a novel statistical procedure capable of detecting such weak changes, even when masked by noise, and […]
- Modern Deep Learning architectures such as LSTM, GRU, and Transformers achieve remarkable performance in various sequence processing tasks. Yet, their high computational cost and energy consumption have raised concerns about their environmental impact and the sustainability of Deep Learning. In this paper, we present an empirical study assessing the efficiency of training LSTM, GRU, and […]
- Conférence publique donnée dans le cadre du « Festival des initiatives locales et positives » 2025 organisé par l'association "Groseille et ciboulette".
- The problem of estimating fluid flow around obstacles has a wide range of applications such as airfoil design in aerospace engineering [6] car shape optimization or the design of combustion engine (where the flow is internal) in the in automotive engineering [1], the control of processes in the food industry [13], the understanding of bacterial […]
- This paper proposes and tests a methodology to analyse end consumers' choices in terms of shopping destination for a store selling culture products, comparing a city centre location to a peripheral one. The proposed methodology begins with a stated preferences survey and incorporates a conditional tree classification algorithm to pre-select the predictors (attributes), then used […]
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- Multi-Agent Systems (MAS) have been a key AI subfield since the 1980s, with strong academic foundations in intelligent agents and agent-oriented programming. The rise of LLMs in the 2020s has led to "AI Agents" with greater autonomy, renewing interest in MAS and inspiring new platforms. While traditional MAS researchers are starting to integrate LLMs, the […]