L'article de Hervé Dumez et Laure Colin paru dans la revue Gérer et Comprendre analyse la création en 2018 de l'Agence de l'innovation de défense (AID) comme une innovation institutionnelle majeure au sein du ministère des Armées

Depuis 50 ans, la notion de projet s’impose comme mode d’organisation des entreprises et organisations publiques, transformant l’action collective par la projectification (Midler, 1995). Ce processus a bouleversé les structures permanentes et redéfini le management de projet. L’article retrace ces évolutions, des années 1980 à aujourd’hui, et montre comment les transitions actuelles ouvrent de nouvelles perspectives de recherche.

This article seeks to unravel the mechanisms through which financial actors agreed upon a sustainability accounting standard without financializing social and environmental issues, i.e. assigning a monetary value to sustainability.

The COVID-19 pandemic presented a scenario of radical uncertainty that hospitals had to manage. Two strands of research can illuminate this management. The first puts forward the high-reliability organization (HRO) principles that the hospital sector has applied for two decades. The second is based on pragmatism and underscores experimental, trial-and-error strategies appropriate for radical uncertainty. This strategy, utilized primarily in the political governance of crises, can be applied in hospital management as well. The results of our qualitative research into French hospitals (109 online interviews over 2020–2021) highlight the importance of pragmatic rationality in crisis management based on organizing collective inquiries. This concept of pragmatic rationality questions the notion of reliability, sticking to pre-existing performance standards not applicable in such contexts. It invites to propose the concept of high pragmatic organization based on five principles that partially integrate those of an HRO.

Ecosystem exploration projects, in other words, exploration projects in emerging ecosystems, are vulnerable due to their long-term orientation and multiple uncertainties. These projects face a dilemma: Should the firm prioritize fast delivery of tangible results to maintain stakeholder commitment or deep learning about the exploration domain? Decomposing projects into large modules allocated to stakeholders accelerates delivery and minimizes coordination costs but prevents the focal firm’s learning. Conversely, smaller modules enable that learning but slow down the delivery of tangible outcomes and increase costs. Through an empirical case study, we characterize this dilemma and propose project granularity as a key variable to address it.

Cette recherche explore les représentations sociales de l’intelligence artificielle (IA) dans les services en France, grâce à la théorie du noyau central et au concept d’implication personnelle. Cent cinquante professionnels ont été interrogés en recourant à la méthode d’association libre. Les résultats révèlent des perceptions contrastées selon le degré d’implication en IA et des valences attitudinales parfois opposées. Les plus impliqués mobilisent une rationalité instrumentale, axée sur les fonctionnalités de l’IA et la projetant dans un futur stratégique. Les moins impliqués expriment une rationalité sociale, marquée par des éléments normatifs et une temporalité réactive centrée sur des gains d’efficacité immédiats. Cette divergence redéfinit l’enjeu managérial, qui ne consiste plus à mieux intégrer l’IA en surmontant la résistance, mais bien à arbitrer les rationalités pour décider souverainement et collectivement de la pertinence de l’outil.

Supply chain resilience aims to enhance supply chain’s capacity to resist, respond, and recover from the disruptions. In different industries, products exhibit distinct attributes, such as, product value, deterioration rate, and criticality, resulting in varied resilience performance under logistic disruptions. The goal of this study is to investigate the significance of logistics service network in enhancing resilience within different supply chain typologies (onshoring and offshoring) across diverse industries, in face to transit time uncertainty induced by disruptions. We develop a robust optimization model with budgeted uncertainty to address the involved single-commodity multimodal freight routing problem under transit time uncertainty. To manage real-world large-scale instances, we devised a tailored adaptive large neighborhood search algorithm and validated its performance by computational experiments. Furthermore, we conducted realistic numerical experiments to validate the proposed approach, and sensitivity analyses to assess supply chain resilience from two perspectives: supply chain typologies and industry-specific attributes including product value, deterioration, and criticality. Moreover, the dynamics of modal shift under various disruptions were also analyzed. The study aims to provide practical tools and managerial insights to help industrial practitioners improve the resilience of their logistics service networks and emphasizes the importance of industry-specific considerations of supply chain typology in enhancing resilience.

This study introduces the first detailed hierarchical framework integrating Value Driver Trees (VDT) and Overall Equipment Effectiveness (OEE) to enhance operational excellence in mining haulage. Addressing gaps in fragmented performance metrics, static analyses, and limited decision support, the proposed five-tier model dynamically links strategic objectives to operational data. Applied to a nickel mining case study using three years of FMS data, it reproduces actual production with deviations consistently below 1%, identifies high-impact drivers, and quantifies improvement potentials of 17–50% relative to baseline when benchmarked against sustained high-performance periods. The study also delineates the boundary of validity of static VDTs, evidenced by a 0.6%-point underestimation of gains from loading-time improvements. By enabling scenario analysis, bottleneck identification, and cross-functional alignment, the framework transforms OEE from a diagnostic metric into a proactive decision-support tool. The contributions are threefold:a theoretical formalisation of VDT – OEE coupling, a reproducible validation-and-benchmarking methodology, and managerial decision support for capital allocation, target-setting, and data-driven operational excellence.

In the freight transport spot market, carriers face several challenges, including handling small-sized loads, managing short lead times, and dealing with uncertainties that can disrupt their existing networks and capacity. In this context, auction platforms assist carriers in developing strategies to maintain productivity and service levels. This paper introduces the freight transportation game, an online auction-based platform specifically designed for the freight spot market. The game equips players, acting as carriers, with tools to develop transportation strategies, optimize routes, and propose competitive rates to maximize profits. Players engage in decision making and competition, with key performance indicators evaluating their decisions. The game includes two scenarios; the first helps students understand the operational challenges that carriers face in spot market auctions, whereas the second encourages cooperation to enhance performance and overcome obstacles. Designed for a three-hour session, the game can be integrated into courses on supply chain management or transportation systems. The practical learnings for students from the game include understanding the complexity of constructing transport plans, recognizing the challenges of using online auction-based platforms, and experiencing the difficulties of managing spot market requests despite their benefits.