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Designing the Healthcare System for the Fulfilment of Patient Goals: A Patient-Centric Exploration in the Home Dialysis Context
No full textInternational audienceThis study investigates patients' goal‐oriented experiences in the context of home dialysis for chronic kidney disease (CKD). The aim is to understand how the home care context can be designed to support chronic patients in achieving their goals. Drawing on goal‐oriented experience theory, we explore how patients' motivations, desired outcomes, and lived experiences shape their perceptions of home health care. To do so, we employed a co‐design‐based qualitative methodology, including postal kits, photo diaries, ethnographic observations, in‐depth interviews, and participatory workshops with 22 stakeholders (patients, healthcare professionals, and caregivers) in public and private healthcare institutions in France. Seven key design features vital to patient experience and goal fulfilment were identified: patient participation, social support, training, food quality, home layout, interactions with medical staff, and consumable supply. These features enhance the cognitive (control and expertise), emotional (safety and comfort), and physical (fitness) dimensions of patient well‐being. Patients' main goals were survival, freedom, mobility, and maintaining normalcy in life. This study contributes to the literature on healthcare design and the patient journey by emphasizing goal‐oriented care and demonstrating how experiential knowledge and higher‐order goals can inform system design beyond conventional ‘goals of care.’ Healthcare systems should integrate patient‐defined goals into service design to promote autonomy and quality of life. Involving multiple stakeholders can foster deeper insights and more effective, user‐centric care models. This research pioneers a patient‐centric, goal‐oriented design framework in home healthcare, emphasizing the value of co‐design methods
Capacity planning in a synergized passenger and freight urban delivery network
No full textNational audienc
Option-Based Framing and Valuation of Supply Chain Resilience Investments
No full textOrganizations face growing pressure to invest in supply chain resilience, yet boombust capital budgeting remains episodic because conventional metrics frame resilience as a static, risk-centric expense rather than a strategic financial investment. We address this gap with a simulation-based, option-framed valuation that models resilience building as a dynamic, multi-stage decision process across interconnected supply chain network nodes. Our approach links action costs to plausibility-weighted performance outcomes (rather than worst cases), integrates time to recover and time to survive metrics with network-level profit propagation, and ranks actions using financially legible KPIs. Applying the framework to a large pharmaceutical supply chain network, we show that sustained, option-framed programs outperform reactive, event-driven spending, delivering higher expected gross profit with lower variability. Treating resilience actions as sequential real options enables managers to evaluate investments based on probability-weighted performance outcomes rather than worst-case scenarios, decoupling budget allocation from crisis-driven timing. The results demonstrate that option-based sequencing creates probability-weighted resilience outcomes 3.6 times lower in expected loss than worst-case. This gap between worst-case and plausible outcomes explains why traditional approaches drive boom-bust cycles where organizations overinvest based on improbable tail events, then retrench when projected benefits fail to materialize. By bridging operational planning and financial justification, we re-frame resilience as a dynamic, financially grounded capability and offer a foundation for theory and practice in resilient supply chain design
Automatic demand forecast model selection in supply chains: a forecast value-added analysis of selection strategies, machine learning, and hyperparameter optimisation
No full textInternational audienceDemand forecasting plays a critical role in supply chain management, enabling suppliers, manufacturers, and retailers to synchronise operations and enhance overall efficiency. Despite extensive research on time series forecast model selection, choosing the most appropriate forecasting model for a given time series remains a complex challenge, particularly in volatile and uncertain environments. The increasing availability of data and the emergence of new forecasting methods have introduced greater complexity, making automated model selection essential for improving forecasting accuracy and decision-making in supply chain operations. This study proposes an automated demand forecast model selection framework that integrates a broad range of statistical and machine learning models. A key feature of the framework is the optimisation of hyperparameters across all models, ensuring each method is fine-tuned for optimal performance. The approach is validated on the M3 monthly dataset, where it outperforms all previously submitted methods, demonstrating significant improvements in forecast accuracy. Additionally, the methodology is tested in a real-world supply chain setting, further showcasing its effectiveness in handling complex and dynamic demand patterns. By enhancing forecast accuracy and reducing the reliance on manual model selection, this research provides an efficient decision support system for supply chain demand forecasting in fast-changing supply chain environments
Corporate purpose, regulation, innovation and performance: An empirical examination of French purpose-driven bylaws companies
No full textInternational audienceIn the contemporary volatile economic environment, companies are increasingly prioritizing societal objectives, focusing on the concept of purpose, which has attracted growing academic interest. Simultaneously, firms are encouraged to innovate across multiple dimensions to achieve greater financial performance. This paper investigates French purpose-driven bylaws companies (PBCs) as leading candidates for observing the effect of the dual approach-combining innovation efforts with commitment to purpose-on financial performance. Using a unique dataset of French PBCs and comparable industry peers from 2015 to 2021, we explore the relationship between innovation, purpose bylaws and financial performance. Our results indicate that French PBCs outperform their industry counterparts, particularly when firms maintain a continuous commitment to innovation both before and after the adoption of purpose-driven bylaws. However, companies that fail to renew their commitment to innovation following their transition to PBC status experience a decline in this performance advantage.</div
Metamodel‐Powered Social Media Image Processing for Decision Support in Crisis Response
No full textInternational audienceSocial media imagery serves as a crucial data source for crisis responders to perceive the evolving crisis situations. The crisis‐related information extracted from these images can be used to enhance situational awareness and support decision‐making. However, such information provided by data‐driven methods is difficult to exploit by model‐driven systems, which are widely employed in crisis management practice. This information mismatch caused by the semantic gap undermines the value of social media images in crisis informatics. To address this problem, a metamodel‐powered framework for social media image processing is proposed to support crisis response. This framework integrates deep learning techniques, a disaster‐specific dataset, information transformation middleware, and a crisis‐oriented metamodel. By doing so, it provides ready‐for‐exploitation information, enabling crisis responders to effectively utilise social media image data. The proposed framework is demonstrated through a case study on the 2018 Aude heave precipitation event and further validated against four additional historical crises. The primary contribution lies in the development of a novel design artefact that follows the design science research paradigm. This study not only addresses the specific information mismatch issue but also offers generalizable design principles applicable to information systems facing similar challenges
Packaging Strategy for Perishable Food Under Cardboard Shortages
No full textInternational audiencePackaging Strategy for Perishable Food Under Cardboard Shortage
Machine learning-driven solutions for sustainable and dynamic flexible job shop scheduling under worker absences and renewable energy variability
No full textInternational audienceThis paper adresses the Dynamic Sustainable Flexible Job Shop Scheduling Problem (DSFJSSP) by going beyond the traditionally emphasized economic dimension-such as makespan, flow time, or resource utilization-to include human and environmental factors, along with their related disruptions. Specifically, it considers human-related constraints such as workers' skills and ergonomic risks, as well as environmental aspects like carbon emissions from operations. Additionally, the study investigates the impact of worker absences and variability in renewable energy availability. To solve this problem, a multi-objective non-linear integer programming model is developed and an improved Non-dominated Sorting Genetic Algorithm III (INSGA-III) is employed et generate the initial scheduling solutions. Three Machine Learning (ML)-based approaches-Q-Learning, Deep Learning, and Deep Q-Learning-are used to determine the most effective rescheduling strategy in response to disruptions. Results show that partial rescheduling maintains a good balance across all objectives and a close adherence to the initial schedule. The right shift strategy is efficient for minor disruptions, while total rescheduling, though potentially effective, is time-consuming and can significantly deviate from the original schedule. The comparison of the considered ML methods confirms that the DQL offers the best adaptability and solution quality for selecting optimal rescheduling strategies. These results underscore the importance of adaptive scheduling in enhancing the resilience and sustainability of dynamic flexible job shop systems
Does treating customers badly increase employee social loafing? The role of disidentification, collective guilt, and moral attentiveness
No full textInternational audiencePurpose Drawing on the theories of social identity and affective events, this research aims to explore the effect of corporate social responsibility (CSR) towards customers on employees’ social loafing. In addition, the authors consider that moral attentiveness moderates the relationship of CSR towards customers with employee disidentification and collective guilt. Design/methodology/approach Time-lagged data (N = 152) were collected at three time points (T1, T2 and T3) through the data collection platform Amazon Mechanical Turk from the full-time employees working in the USA. Findings The results suggest that both disidentification and collective guilt significantly mediate the relationship between customer CSR and social loafing. Moreover, moral attentiveness significantly moderates both customer CSR–disidentification and customer CSR–collective guilt relationships. Originality/value This study provides novel insights into the process underlying the relationship between CSR towards customers and social loafing by revealing the mediating role of disidentification and collective guilt, as well as the moderating role of moral attentiveness. The authors discuss the theoretical and practical implications of these findings and offer directions for future research on CSR towards customers and social loafing
Le compromis dans un groupe-projet pluraliste : les activités du courtier de Mondes dans l’élaboration de convention de compromis
No full textNational audienceOur research examines a project group from a Social Work Training Establishment (SWTE), which uses a new social intervention approach to initiate innovative actions. The SWTE pluralistic context and its difficulty in embracing new Worlds that penetrate it, lead us to call upon the literature on the Economies of Worth. The conventionalist perspective studies the notion of a competent actor able to elaborate compromises, but this notion has not been studied thoroughly by the literature. We intend to respond to this “research gap” by looking at the activities deployed by the pilot of the project-group and formulating the following research question: “What are the activities of the pilot of a project-group in a pluralistic context, embedded in different worlds, that lead the actors who compose it to develop a compromise convention to launch innovative initiatives?”.To understand this actor, we draw on the work/research on knowledge brokers and boundary objects.The methodology is based on a participant observation by one of the authors, an employee of the SWTE under study. The material thus collected is supplemented by two rounds of interviews, over the period 2018-2022. The data are coded using a plan derived from the theoretical framework of analysis and emerging codes. Our results enable us to define the pilot of the project group as a “Broker of Worlds”, that we define as “a knowledge broker who manages, in a pluralistic collective, to generate a compromise convention thanks to his activities of circulating and enriching knowledge, networking and socializing actors, developing actors' skills, and through an activity of reflexivity on Worlds” (inspired by Dutrieux, 2021).We answer our research question in two ways. First, we highlight the constitutive activities of the broker of Worlds (complementing the literature) by the importance of the socialization and communication activities between project group members in a pluralistic context; we also show that the broker of Worlds adopts a “user push” posture to not impose his vision, but to encourage through his support of reflexivity leading the group members to make sense of knowledge and practices with regard to the different Worlds, and to recognize their alterity. Our second contribution is to identify two types of compromise conventions, which we call epistemic and pragmatic, the first offering elements of language to support the exchanges and communication necessary to the second. The formulation of compromises was supported by exchange around boundary objectsNotre recherche examine un groupe-projet d’un établissement de formation en travail social (EFTS), qui se saisit d’une nouvelle démarche d’intervention sociale pour initier des actions novatrices. Le contexte pluraliste de l’EFTS et sa difficulté à embrasser de nouveaux Mondes qui le pénètrent, nous amènent à mobiliser la littérature sur les Économies de la Grandeur. La perspective conventionnaliste développe la notion d’acteur compétent, capable d’élaborer des compromis, mais qui reste encore très peu étudiée par la littérature. Nous entendons répondre à ce « research gap » en nous intéressant aux activités déployées par la pilote du groupe-projet en formulant la question de recherche suivante : « Quelles sont les activités du pilote d’un groupe-projet en contexte pluraliste, enchâssé dans des mondes différents, qui conduisent les acteurs qui le composent à élaborer une convention de compromis pour lancer des initiatives novatrices ? ».Pour appréhender cet acteur, nous mobilisons les travaux sur le courtier de connaissances et les objets frontières.Le dispositif méthodologique s’appuie sur une observation-participante de l’un des auteurs, salariée de l’EFTS étudié. Le matériau ainsi collecté est complété par deux vagues d’entretien, sur la période 2018-2022. Les données sont codées à partir d’un plan issu du cadre théorique d’analyse et de codes émergents.Nos résultats nous permettent de définir la pilote du groupe-projet comme un « Courtier de Mondes » que nous définissons comme « un courtier de connaissances qui parvient dans un collectif pluraliste à générer une convention de compromis grâce à ses activités de circulation et d’enrichissement de la connaissance, de mise en relation et de socialisation des acteurs, de développement des compétences des acteurs, et par une activité de réflexivité sur les Mondes » (inspiré de Dutrieux, 2021).Nous répondons à notre question de recherche de deux manières. Tout d’abord nous avons mis en évidence les activités constitutives du courtier de Mondes (en complément de la littérature) par l’importance de l’activité de socialisation et de communication entre les membres du groupe-projet en contexte pluraliste ; nous montrons également que le courtier de Mondes adopte une posture de « user push » pour ne pas imposer sa vision, mais encourager, par une activité de soutien à une réflexivité amenant les membres du groupe à faire sens des connaissances et pratiques au regard des différents Mondes, et à reconnaître leur altérité. Notre seconde contribution est d’identifier deux types de conventions de compromis, que nous appelons épistémique et pragmatique, la première offrant les éléments de langage pour soutenir les échanges et la communication nécessaires à la seconde. La formulation des compromis a été soutenue par l’échange autour d’objet-frontièr