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    • Learning and Innovating

    From social manufacturing and entrepreneurship to social open innovation: Exploring the role of fabrication laboratories

    The research aims to shed light on the role of open innovation in addressing social and economic challenges. It focuses on 3D-based fabrication laboratories (fablabs) and attempts to identify the mechanisms through which the latter facilitates the diffusion and promotion of (open) innovations. The findings reveal how fablabs and additive manufacturing (AM) enable the scaling […]

    • Conference
    • Learning and Innovating

    Meeting the challenges of effective readiness for change in a global context

    The aim of this paper is to address the potential impact of perceptions on individual readiness for change. Based on a quantitative survey of 310 executives from Anglo Saxon countries, North and Latin Europe, Arabian countries, and Far East Asian countries, identified via multi stage sampling, we compare the impact of employees’ cultural factors (cultural […]

    • Paper
    • Learning and Innovating

    Le SI dans la fonction juridique : exploration des pratiques d’alignement stratégique

    Cette recherche se propose d’examiner la question de l’adoption du SI et des outils IT dans le contexte juridique, en particulier dans le cas de la Direction Juridique innovante (DJI). Il s’agit d’étudier le déploiement de ces outils ainsi que les pratiques favorisant leur alignement stratégique au sein de la DJI. Cette recherche s’appuie sur […]

    • Conference
    • Learning and Innovating
    • CESI - Hors LINEACT

    FVLLMONTI: The 3D Neural Network Compute Cube (N2C 2 ) Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation

    This multi-partner-project contribution introduces the midway results of the Horizon 2020 FVLLMONTI project. In this project we develop a new and ultra-efficient class of ANN accelerators, the neural network compute cube (N 2C2), which is specifically designed to execute complex machine learning tasks in a 3D technology, in order to provide the high computing power […]

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    • Learning and Innovating
    • Engineering and Numerical Tools

    Introducing the 3MT_French dataset to investigate the timing of public speaking judgements

    In most public speaking datasets, judgements are given after watching the entire performance, or on thin slices randomly selected from the presentations, without focusing on the temporal location of these slices. This does not allow to investigate how people’s judgements develop over time during presentations. This contrasts with primacy and recency theories, which suggest that […]

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    • Learning and Innovating

    What are the drivers of competence management?

    Globalization and technological transformations emphasize the need for developing new skills and acting at the peak of one’s capacities. Competence is defined as the combination of external and individual resources to fulfill one’s job demands and contribute to the organization’s purpose. It corresponds to feeling effective and efficient in one’s actions. As such, competence is […]

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    • Learning and Innovating

    Can Teal practices increase employees’ work engagement?

    Because engaged employees work with passion, in deep connection with their company and are innovative, they may drive their organization’s performance. Teal organizations, which implement original and inspiring ways of working, appear particularly favourable to create and support engagement in the long run. The aim of this paper is twofold: first, to study engagement drivers […]

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    • Learning and Innovating

    Building a positive corporate governance

    Organizations are subject to a dual movement of evolution: in the short term, they must adapt to fluctuations of the economic, geopolitical, energy, health, situations and so on. In the long term, they must be part of major societal and environmental transformations. Corporate governance must assume this dual mission of strategic decision and social responsibility, […]

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    • Learning and Innovating
    • Engineering and Numerical Tools

    CG-MER: A Card Game-based Multimodal dataset for Emotion Recognition

    The field of affective computing has seen significant advancements in exploring the relationship between emotions and emerging technologies. This paper presents a novel and valuable contribution to this field with the introduction of a comprehensive French multimodal dataset designed specifically for emotion recognition. The dataset encompasses three primary modalities: facial expressions, speech, and gestures, providing […]

    • Paper
    • Learning and Innovating
    • Engineering and Numerical Tools

    Modelling the “transactive memory system” in multimodal multiparty interactions

    Transactive memory system (TMS) is a team emergent state representing the knowledge of each member about “who knows what” in a team performing a joint task. We present a study to show how the three TMS dimensions Credibility, Specialisation, Coordination, can be modelled as a linear combination of the nonverbal multimodal features displayed by the […]

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    • Learning and Innovating

    Exploring the Activities and Outcomes of Living Labs: Insights for meeting stakeholder expectations

    Open innovation is a key concept in innovation management that encourages collaboration, knowledge sharing, and co-creation. Living Labs, as collaborative innovation structures, are well-suited for implementing open innovation. They serve as user-centered ecosystems for testing and validating user-oriented solutions in real-life conditions. While existing literature explores various dimensions of Living Labs, empirical research on practical […]

    • Conference
    • Learning and Innovating
    • Engineering and Numerical Tools

    An Enhanced Interface-Based Probabilistic Compositional Verification Approach

    In this paper, we aim to advance the state of the art in the verification process of systems, predominantly modeled as Probabilistic Automata (PA). This model accommodates both nondeterministic and probabilistic behaviors. Our primary strategy to address the notorious state space explosion problem inherent in model checking is the adoption of abstraction and compositional verification […]


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