La consommation collaborative est souvent présentée comme la nouvelle économie du partage et prône l’usage vs la propriété. Il semble pourtant que certaines pratiques collaboratives soient sources d’hyperconsommation et encouragent au contraire le consumérisme. Dans le cadre de la présente recherche doctorale, nous cherchons à identifier et comprendre les modalités de la montée en compétences marchandes des consommateurs. Nous étudions ce processus à travers les dispositifssociotechniques dans le contexte de la consommation collaborative. Nos résultats révèlent que certaines pratiques collaboratives permettent l’expression de l’Homme-entrepreneur et alimentent la logique néolibérale plutôt que de la remettre en question. Ils montrent également que les dispositifs sociotechniques sont omniprésents et capables de former en masse des consommateurs, les amenant àse conduire tels des conso-marchands au sein d’une hétérotopie « consumériste ». Notre travail souligne en outre que les conso-marchandes étudiées, dans la pratique du vide-dressing, développent certes leur entrepreneurialité mais veulent néanmoins préserv er un espace entre le jeu et le sérieux pour continuer à « jouer à la marchande ». / Collaborative consumption is often presented as the new economy of sharing and advocates usage vs. ownership. However, it seems that certain collaborative practices are sources of hyperconsumption and that they actually encourage consumerism. As part of this doctoral research, we seek to identify and understand the rise of commercial skills among consumers. We take a sociotechnical dispositives approach to study this process in the context of collaborative consumption. Our results demonstrate that certain collaborative practices allow the expression of the entrepreneurial subject and fuel the neoliberal logic rather than question it. They also show that socio-technical dispositives are omnipresent and capable of mass shaping consumers, leading them to behave like consumer-seller within a "consumerist" heterotopy. Furthermore, our results reveal how the consumersellers studied, in the context of a jumble sale, certainly develop their entrepreneurship but nevertheless want to preserve a certain distance between game and reality to continue to "play shop".

Made available in DSpace on 2016-12-12T20:22:53Z (GMT). No. of bitstreams: 1 Jucilene Rosa Citadin.pdf: 3612746 bytes, checksum: 166b327aaf526b2c31111cff753d5b74 (MD5) Previous issue date: 2015-08-31 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A formação de grupos para a aprendizagem colaborativa é uma tarefa importante, pois deve permitir a efetiva interação dos membros de um grupo. No entanto, a explosão combinatória relativa ao número de estudantes torna a formação de grupos um problema de otimização combinatória, que é NP-hard, isto é, um problema que não tem solução ótima em tempo polinomial. A resolução desses problemas de complexidade não polinomial requer um grande esforço computacional e aplicação de heurísticas ou meta-heurísticas para chegar a soluções viáveis em tempos adequados. Uma meta-heurística que tem provado ser eficiente na resolução de problemas de otimização NP-hard são os algoritmos genéticos (AG). Por isso, esta pesquisa avalia a adoção de algoritmos genéticos para a formação de grupos na aprendizagem colaborativa, considerando um contexto massivo de dados (milhares de estudantes). Pesquisas bibliográficas e um mapeamento sistemático da literatura sobre formação de grupos para aprendizagem colaborativa foram realizados. Constituir grupos de forma automática, considerando a abordagem selecionada e o critério heterogêneo, utilizando como recurso algoritmos genéticos, foram os resultados apontados pelo mapeamento. Assim, esta pesquisa se propôs a gerar grupos heterogêneos de forma automática, utilizando como abordagem grupo selecionado, considerando os conhecimentos e as interações dos estudantes. Algoritmos genéticos foram utilizados para a formação dos grupos, que teve como objetivo maximizar a heterogeneidade dos conhecimentos e as interações dos estudantes no grupo, além de gerar grupos balanceados entre si (inter-homogêneos). Foram desenvolvidos dois algoritmos, um AG e um randômico como método base de comparação. Ambos foram testados considerando dados de mil até dez mil estudantes, com diferentes configurações dos conhecimentos e interações. A comparação foi feita considerando o fitness, o percentual de grupos heterogêneos e/ou balanceados gerados pelos algoritmos e o tempo de processamento gasto por grupo gerado. Os resultados apontam que AG é eficaz para a formação de grupos heterogêneos na aprendizagem colaborativa. Os resultados do AG foram mais eficientes que os resultados do algoritmo randômico, para conhecimentos heterogêneos e conhecimentos aleatórios. Para conhecimentos homogêneos o AG teve a mesma eficiência que o algoritmo randômico, porém é mais eficaz, pois gera mais grupos balanceados do que o algoritmo randômico.

Many of the technological and social systems our society has come to depend on can be classified as complex adaptive systems (CAS). These systems are made of many individual parts that self-organize to respond and adapt to changing outside and inside influences affecting the system and its actors. These CAS can be placed on a spectrum ranging from loosely- to tightly-coupled, depending on the degree of interrelatedness and interdependence between system components. This research has explored how the process of collaboration occurs in both a loosely- and tightly-coupled setting using one exemplar of each system. The loosely-coupled exemplar related to disaster risk reduction in two Canadian communities while the tightly-coupled one involved the implementation of a surgical information management system in a Canadian hospital. A list of core elements of collaboration that should be considered essential to the success of all collaborative endeavours was developed as a result: Engagement, Communication, Leadership, Role Clarity, Awareness, Time, and Technical Skills and Knowledge. Based on observing how the core elements of collaboration interacted with one another within each of these example systems, two models were created to represent their relationships. A list of considerations that collaborative tool designers should consider was also developed and the implications of these considerations were discussed. As businesses and other organizations increasingly incorporate team-based work models, they will come to depend more heavily on technology-based solutions to support collaboration. By incorporating collaborative technologies that properly support the activity of these teams—based on the specific type of complex adaptive system in which their organization exists—organizations can avoid wasting time and resources developing tools that hinder collaboration.

This dissertation uses the constructivist grounded theory methods of Charmaz (2011) to explore: 1) the unique characteristics of landscape-scale collaboration; 2) implications for collaborative capacity-building strategies; and 3) the relationship between conflict, landscape-scale collaboration, and conflict resolution. The study was conducted through the US Forest Service's Collaborative Forest Landscape Restoration Program (CFLRP). In the 1980s and 1990s, national forest management conflicts brought the forest industry to a standstill, with many jobs lost. In addition, historic fire suppression practices have made our national forests highly vulnerable to catastrophic wildfire. Many have strong opinions about what should be done and how. The proposed substantive theory suggests landscape-scale collaboration can serve as a conflict prevention, problem solving, or conflict resolution venue and offer opportunities for remarkable efficiencies in forest restoration as well as profoundly restorative transformation in ecological, social, economic, personal, and spiritual dimensions. It identifies unique characteristics of collaboration at this scale; suggests that realizing benefits depends on collaborative capacities at the collaborator, constituent organization, collaborative stakeholder group, and sponsoring organization levels, and on mastering nine challenges; and suggests eight implications for collaborative capacity building strategies. The study contributes to forest restoration, reduced loss of life and livelihood, and economic recovery by contributing to CFLRP effectiveness. It contributes to the field of conflict resolution by: illuminating the collaboration / conflict resolution relationship; a particular application of collaboration; related sources of conflict; and conflict resolution strategies. It advances new directions of study for conflict resolution scholars--i.e., how to help agencies and groups strengthen their collaborative capacities.

Uno de los sectores inmobiliarios más dinámicos es el de alquiler de oficinas y dentro de él, un modelo de negocio innovador llamado Coworking que nace de una tendencia en crecimiento: la Economía Colaborativa. Dicho modelo resulta atractivo para inversionistas inmobiliarios, empresas en expansión e independientes porque ofrece mayor valor en cuanto a flexibilidad, comparada con la oferta tradicional. Por eso, este trabajo se centra en evidencia que valide la incidencia de esta tendencia, la economía colaborativa, sobre la competitividad de las empresas que brindan el servicio de alquiler de oficinas en Lima Metropolitana en el año 2018. La metodología se descompone en investigación cuantitativa y cualitativa. A través de una selección muestral, se realizaron encuestas a directivos o encargados de las empresas de Coworking. Por su lado, la investigación cualitativa consta de entrevistas en profundidad a expertos nacionales e internacionales respecto a la tendencia global de la economía colaborativa y el sector Coworking. Luego de la investigación realizada, se puede determinar que la Economía Colaborativa incide en la competitividad de las empresas que brindan servicio de alquiler de oficina en Lima Metropolitana en el año 2018. Asimismo, los factores: digital (hipótesis específica número 1, o, HE1), social (HE2), económico (HE3) tienen la misma incidencia. Sin embargo, el factor cultura medioambiental (HE4) no impactaría en la competitividad de dichas empresas ya que su alcance sería sólo en términos comunicacionales o publicitarios, el cual se sugiere investigar con mayor profundidad. Como aporte a la comunidad empresarial, se propone el Índice de Competitividad Colaborativa (ICC) que, de la investigación realizada, las empresas con mayor ICC demuestran una propuesta de valor más centrada en el usuario y una comunidad sólida. Se sugiere a las empresas de Coworking realizar un diagnóstico interno para identificar aspectos de la gestión interna asociados a la competitividad que pueden fortalecerse. / One of the most dynamic real estate sectors is office rental and within it, an innovative business model called Coworking born from a growing trend: the Collaborative Economy. This model is attractive to real estate investors, expanding and independent companies because it offers greater value in terms of flexibility compared to the traditional offer. Therefore, this work focuses on evidence that validates the incidence of this trend, the collaborative economy, on the competitiveness of companies that provide office rental services in Metropolitan Lima in 2018. The methodology is broken down into quantitative and qualitative research. Through a sample selection, surveys of executives or managers of Coworking companies were conducted. For instance, qualitative research consists of in-depth interviews to national and international experts about the global trend of the collaborative economy and the Coworking sector. After the investigation, it can be determined that the Collaborative Economy affects the competitiveness of companies that provide office rental service in Metropolitan Lima in 2018. Also, the factors: digital (specific hipothesis number 1, i.e. SH1), social (HE2), Economic (HE3) have the same incidence. However, the environmental culture factor (HE4) would not impact the competitiveness of these companies since its scope is only communicational or in advertising terms, which is further research could be conducted. As a contribution to the business community, the Collaborative Competitiveness Index (CCI) is a proposal derived from the research carried out. The companies with the highest CCI show a more user-centered value proposal and a solid community. Coworking companies are suggested to perform an internal diagnosis to identify aspects of internal management associated with competitiveness that can be strengthened. / Tesis

Le développement professionnel infirmier (DPI) constitue une condition sine qua non d’une prestation de soins de qualité dans un contexte de vieillissement de la population qui présente des problèmes de santé complexes et d’intensification des soins à domicile (SAD). Des infirmières décrient cependant une inquiétude grandissante quant aux barrières susceptibles de freiner leur DPI ainsi que l’intégration de leurs apprentissages à la pratique. Parmi ces barrières se trouvent notamment une difficulté d’accès à des activités de DPI pertinentes, des contraintes de ressources pour participer aux activités de DPI, un équilibre difficile entre la vie personnelle et professionnelle ainsi qu’un climat organisationnel rigide. Pour relever ces barrières et répondre aux défis de la complexité des soins et des environnements évoluant rapidement, la nécessité d’utiliser des stratégies intégrant l’apprentissage au travail afin de soutenir le développement professionnel des infirmières s’impose. À cet égard, des stratégies d’enseignement-apprentissage actives comme la simulation clinique, des clubs de lecture et des groupes de codéveloppement ont fait l’objet d’études dans un contexte de DPI et d’autres, comme l’apprentissage collaboratif (AC), beaucoup moins. Pourtant, l’AC permettrait de réduire certaines barrières au DPI en tenant compte des caractéristiques contextuelles et individuelles des apprenants. Cette recherche collaborative vise à explorer comment l’AC contribue au DPI d’infirmières de SAD auprès d’aînés présentant des problèmes de santé complexes en répondant à deux questions de recherche qui visent à identifier : (1) les éléments contextuels qui influencent la participation d’infirmières de SAD à des groupes d'AC ainsi que (2) les caractéristiques de l’AC qui contribuent à la réalisation d’apprentissages chez ces mêmes infirmières de SAD. Les résultats témoignent que (1) le rapport au temps, (2) le soutien du gestionnaire ainsi que (3) l’accompagnement des groupes d’AC sont des éléments contextuels qui influencent la participation d’infirmières de SAD à un groupe d’AC ainsi que le processus d’AC qui se veut évolutif, itératif et réflexif. Cette étude a aussi permis d’identifier cinq caractéristiques de l’AC qui contribuent à la réalisation d’apprentissages. L’AC : (1) exige une motivation à apprendre pour améliorer la qualité des soins; (2) conduit à une réflexion sur sa pratique professionnelle pour mieux la comprendre; (3) crée un espace de partage valorisant le développement de relations égalitaires empreintes de respect et d’écoute; (4) oriente vers une recherche collective de solutions pragmatiques aux problèmes rencontrés dans la pratique et (5) suscite un sentiment de réalisation et d’accomplissement de soi. Bien que cette recherche collaborative soit parmi les premières du genre à être réalisée en SAD au Québec, le futur du DPI devrait consister à créer des environnements d’AC en milieu clinique. Pour ce faire, un changement de culture doit s’opérer profondément pour embrasser une perspective plus holistique et scientifique du DPI qui valorise sa pertinence et sa signifiance, notamment par l’AC. / Nursing professional development (NPD) is a sine qua non condition for quality care in a context of aging population with complex health problems and increasing home care (HC). However, nurses describe a growing concern about the barriers that may impede their NPD and the integration of their learning into practice. These barriers include difficulty accessing relevant NPD activities, resource constraints to participate in NPD activities, difficult work-life balance, and inflexible organizational climate. To address these barriers and meet the challenges of complex care and rapidly changing environments, there is a need to use strategies that integrate learning at work to support nurses' professional development. In this regard, active teaching-learning strategies such as clinical simulation, journal clubs and co-development groups have been studied in a NPD context and others, such as collaborative learning (CL), much less so. However, CL could reduce some of the barriers to NPD by considering the contextual and individual characteristics of learners. This collaborative research aims to explore how CL contributes to the NPD of HC nurses working with seniors with complex health problems by answering two research questions that aim to identify: (1) the contextual elements that influence the participation of HC nurses in CL groups as well as (2) the characteristics of CL that contribute to the achievement of learning in these same HC nurses. The results show that (1) the relationship to time, (2) the manager's support and (3) the support provided for CL groups are contextual elements that influence the participation of HC nurses in a CL group as well as the evolutionary, iterative and reflective CL process. This study also identified five characteristics of CL that contribute to learning. CL: (1) requires motivation to learn in order to improve the quality of care; (2) leads to reflection on one's professional practice in order to better understand it; (3) creates a space for sharing that values the development of egalitarian relationships marked by respect and listening; (4) leads to a collective search for pragmatic solutions to the problems encountered in practice; and (5) creates a sense of accomplishment and self-fulfillment. While this collaborative research is among the first of its kind to be conducted in HC in Quebec, the future of NPD should be in creating CL environments in clinical settings. To do so, a profound cultural shift must occur to embrace a more holistic and scientific perspective of NPD that values its relevance and meaning, particularly through CL.

The use and application of 4 Dimensional Computer Aided Design (4D CAD) is growing within the construction industry. 4D approaches have been the focus of many research efforts within the last decade and several commercial tools now exist for the creation of construction simulations using 4D approaches. However, there are several key limitations to the current approaches. For example, 4D models are normally developed after the initial planning of a project has taken place using more traditional techniques such as Critical Path Method (CPM). Furthermore, mainstream methodologies for planning are based on individual facets of the construction process developed by discrete contractors or sub-contractors. Any 4D models generated from these data are often used to verify work flows and identify problems that may arise, either in terms of work methods or sequencing issues. Subsequently, it is perceived that current 4D CAD approaches provide a planning review mechanism rather than a platform for a novel integrated approach to construction planning. The work undertaken in this study seeks to address these issues through the application of a distributed virtual reality (VR) environment for collaborative 4D based construction planning. The key advances lie in catering for geographically dispersed planning by discrete construction teams. By leveraging networked 4D-VR based technologies, multidisciplinary planners, in different places, can be connected to collaboratively perform planning and create an integrated and robust construction schedule leading to a complete 4D CAD simulation. Establishing such a complex environment faces both technological and social challenges. Technological challenges arise from the integration of traditional and recent 4D approaches for construction planning with an ad hoc application platform of VR linked through networked computing. Social challenges arise from social dynamics and human behaviours when utilizing VR-based applications for collaborative work. An appropriate 4D-based planning method in a networked VR based environment is the key to gaining a technical advancement and this approach to distributed collaborative planning tends to promote computer-supported collaborative work (CSCW). Subsequently, probing suitable CSCW design and user interface/interaction (UI) design are imperative for solutions to achieve successful applicability. Based on the foregoing, this study developed a novel robust 4D planning approach for networked construction planning. The new method of interactive definition was devised through theoretical analysis of human-computer interaction (HCI) studies, a comparison of existing 4D CAD creation, and 3D model based construction planning. It was created to support not only individual planners’ work but multidisciplinary planners’ collaboration, and lead to interactive and dynamic development of a 4D simulation. From a social perspective, the method clarified and highlighted relevant CSCW design to enhance collaboration. Applying this rationale, the study specified and implemented a distributed groupware solution for collaborative 4D construction planning. Based on a developed system architecture, application mode and dataflow, as well as a real-time data exchange protocol, a prototype system entitled ‘4DX’ was implemented which provides a platform for distributed multidisciplinary planners to perform real-time collaborative 4D construction planning. The implemented toolkit targeted a semi-immersive VR platform for enhanced usability with compatibility of desktop VR. For the purpose of obtaining optimal UI design of this kind of VR solution, the research implemented a new user-centred design (UCD) framework of Taguchi-Compliant User-Centred Design (TC-UCD) by adapting and adopting the Taguchi philosophy and current UCD framework. As a result, a series of UIs of the VR-based solution for multifactor usability evaluation and optimization were developed leading to a VR-based solution with optimal UIs. The final distributed VR solution was validated in a truly geographically dispersed condition. Findings from the verification testing, the validation, and the feedback from construction professionals proved positive in addition to providing constructive suggestions to further reinforce the applicability of the approach in the future.

Initié en 2009, le projet MISE 2.0 (deuxième itération du projet Mediation Information System Engineering) s’articule autour d’une approche BPM (pour Business Process Management) et d’une vision MDE (pour Model-Driven Engineering). La réalisation d’une démarche BPM classique au sein d’une organisation nécessite de recueillir une connaissance couvrant à la fois les aspects structurel, informationnel et fonctionnel afin de définir des modèles de processus caractéristiques du comportement de l’organisation. Concernant le projet MISE 2.0, l’approche BPM considérée concerne un ensemble d’organisations collaboratives. Quant à la composante MDE, elle est destinée à faciliter l’automatisation des différentes étapes de la démarche : i) Recueil de la connaissance (caractérisation de la situation) : Il s’agit de collecter les information concernant la situation collaborative considérée, ii) Déduction de la cartographie de processus collaboratifs (définition de la solution) : il s’agit de définit les processus collaboratifs adaptés à la situation collaboratives caractérisée au niveau précedent and iii) Déploiement du SI de médiation (implémentation de la solution) : il s’agit d’implémenter le SI de médiation sous la forme d’une plateforme informatique capable d’orchestrer les processus collaboratif définis. La problématique scientifique relève des deux transitions entre ces trois niveaux d’abstractions : la première transition est prise en charge au niveau abstrait de la démarche MISE 2.0 alors que la seconde est traitée au niveau concret. Les travaux de thèse dont il est ici question se focalisent sur le niveau abstrait : déduction d’une cartographie de processus collaboratifs satisfaisant la situation collaborative considérée. Ce type d’objectif relève généralement d’activités entièrement manuelles qui nécessitent une importante quantité de travail afin d’obtenir les modèles de processus escomptés. Les travaux de recherches présentés ambitionnent d’automatiser cette démarche. Le principe est le suivant : (i) recueil, sous la forme de modèles, de la connaissance nécessaire à la caractérisation de la situation collaborative (informations sur les partenaires, les fonctions qu’ils partagent et leurs objectifs), (ii) déduction de la connaissance complémentaire relative à la dynamique collaborative qui pourrait satisfaire ces objectifs selon les moyens disponibles (cette phase s’appuie sur un métamodèle collaboratif, sur l’ontologie associée et sur des règles de transformation) et (iii) structuration de cette connaissance générée sous la forme d’une cartographie de processus collaboratifs (grâce à des algorithmes dédiés). / MISE 2.0 (for Mediation Information System Engineering, second iteration) project has been launched in 2009. The MISE 2.0 engineering approach is based on BPM (Business Process Management) and MDE (Model-Driven Engineering). Running a regular BPM approach on a specific organization consists in gathering structural, informational, and functional knowledge in order to design cartography of processes covering the behavior of the modeled organization. Regarding the MISE 2.0 project the BPM approach concerns a set of organizations and MDE helps in automatizing the different steps: i) Knowledge gathering (situation layer): collect information concerning the collaborative situation, ii) Processes cartography design (solution layer): design the processes according to the knowledge gathered and iii) MIS deployment (implementation layer): implement an IT structure able to run the processes cartography. Both the transitions between these layers are the hard-points of this approach: The first gap is managed at the abstract level of MISE 2.0 while the second one is managed at the concrete level of MISE 2.0. The current PhD is focused on the first issue: designing a relevant processes cartography from the modeled collaborative situation. However, this is usually a manual activity, which requires a large amount of work to draw the processes and their links. The current research works aim at building such collaborative process cartography in an automated manner. Our principles are (i) to gather the essential and minimum initial collaborative knowledge (e.g. partners, shared functions and collaborative objectives) in models, ii) to deduce the missing knowledge with the help of a collaborative metamodel, an associated ontology and transformation rules and iii) to structure the deduced knowledge in a collaborative process cartography thanks to dedicated algorithms.

Les décisions collaboratives sous incertitude dans les situations non urgentes peuvent être retardées, surtout lorsque la santé humaine et des investissements élevés sont en jeu comme c’est le cas des projets de R and D pharmaceutiques. Cette thèse étudie les causes des retards récurrents dans la prise de décision collaborative sous incertitude et les pratiques efficientes pour réduire ces retards. Pour mieux comprendre le problème des retards dans la prise de décision face à l’incertitude, nous étudions d’abord la notion d’incertitude et proposons une définition de l’incertitude adaptée au management de projet. Ensuite, le processus de prise de décision dans les projets de développement de nouveaux médicaments est modélisé, mettant en évidence le cycle de vie de l’information à partir de sa production jusqu’à sa consommation c’est-à-dire la décision elle-même. Ce modèle comprend une étape de réflexion individuelle et une étape de l’interaction en groupe, en clarifiant comment l’information est traitée différemment par les décideurs. Afin d’analyser les conflits du passé et anticiper ceux du futur, sur la base de ce modèle, un indice est défini pour mesurer le risque d’invalidation d’une décision prise a posteriori. Finalement, à travers des entretiens approfondis, 252 facteurs clés qui influent la prise de décision sont identifiés. Les trois causes de retard les plus citées sont : la peur de l’incertitude, la peur de la hiérarchie et la difficulté des décisions d’arrêt. Sur la base des facteurs identifiés, un recueil de bonnes pratiques est construit pour les acteurs du processus de prise de décision qui aident à former, mûrir, communiquer, digérer, respecter et finalement exécuter les décisions collaboratives. / Collaborative decisions may be deferred when faced with a high degree of uncertainty, especially when public health and high investments are at stake and in situations that seem non-urgent, as is the case in pharmaceutical R and D projects. This thesis investigates the causes of recurrent delay in collaborative decision-making under uncertainty, and the efficient practices to reduce this delay. To better understand the problem of delay in decision-making under uncertainty, we first review the notion of uncertainty and propose a definition of uncertainty adapted to project management. Then, the decision-making process in drug development projects is modeled, highlighting the information life cycle from its generation to its consumption i.e. the decision itself. It includes individual reflection and group interaction, clarifying how information is processed differently by decision-makers. To analyze past conflicts and anticipate future ones, based on this model, an index is defined that measures the risk of invalidating a decision a posteriori. Finally, through an in-depth interview-based approach, 252 key factors that affect decision-making are pointed out. The three most-mentioned causes of delay are: fear of uncertainty, fear of hierarchy, and difficulty of No Go decisions. Based on the identified factors, a compendium of practices is constructed for the actors of the decision-making process that help collaborative decisions to be formed, matured, digested, respected, and finally executed.

La conception de systèmes mécaniques, de par son aspect pluridisciplinaire et technologique, fait intervenir et interagir différentes personnes qui travaillent et prennent des décisions ensemble, et, participent ensemble à l’élaboration du produit. Elles travaillent de manière collaborative cependant elles ne se connaissent pas obligatoirement, ne se situent pas forcément géographiquement sur un site commun, n’ont peut-être pas la même culture et n’appartiennent pas systématiquement à la même entreprise. La conception préliminaire représente les premières phases du cycle de conception ou le produit est en cours de définition. Le nombre d’incertitudes sur les paramètres et les informations produit sont très importantes. Il y a un manque de connaissances important à cette étape du processus de conception qui doit être considéré afin d’améliorer et d’aider les prises de décisions dans les phases amonts. C’est ce manque de connaissances que je me propose de qualifier et caractériser en apportant une réponse à la question résultante: comment prendre en compte le manque de connaissances pour prendre des décisions durant la conception préliminaire collaborative ? Pour se faire, nous proposons un méta-modèle de connaissances permettant de structurer les informations du produit et les connaissances en intégrant la maturité du produit. Cette maturité est définie par une métrique et permet d’identifier le niveau de connaissances des concepteurs sur le produit et d’orienter la prise de décision grâce à l’utilisation d’une approche mixte, à la fois qualitative et quantitative. Enfin, nous évaluerons la capacité de ce méta-modèle à générer différent modèles produit, puis sa pertinence avec l’implémentation sur un cas industriel. / The design of mechanical systems, due to their multi-disciplinary and technological aspects, involves different people who, together, work and make decisions and jointly participate in the development of the product. They work in a collaborative manner; however, they may have different strategies, geographical positions, cultures and do not know the other members of the team. Preliminary design represents the early stages of the design cycle or product definition. A number of uncertainties regarding the parameters and product information are very important. There is an important lack of knowledge at this stage of the design process that must be managed or filled in order to improve and support the decision making in the early phases. It is this lack of knowledge that I propose to qualify and characterise, providing an answer to the question: how does one to take into account the lack of knowledge in decision making during the preliminary design collaboration? To do so, we propose a meta-model for structuring product information and knowledge by integrating product maturity. A metric allows this maturity to be defined, to identify the level of knowledge of the product designers and to guide the decision making, thanks to the use of a qualitative and quantitative approach. Finally, we evaluate the ability of the meta-model to generate the different models produced and its relevance to the implementation in an industrial case.