65 research outputs found

    Systèmes d’information et résilience des chaînes logistiques globales

    Get PDF
    The business environment is now and will continue to be impacted by disturbances of international scope. In the future, this situation will be reinforced by global competition driven by growth in emerging economies. In a context of permanent crisis with multiple causes, companies need to find ways to adapt and yet maintain their level of performance, living up to the expectations of their numerous stakeholders. This article analyses how information systems can adapt in times of crisis to enhance supply chain resilience, or oth- erwise stated, it explores how supply chains maintain a constant level of performance de- spite rare or unexpected events. Information technology evolution is currently taking place in an environment of agile industrial activities and logistics systems that are increasingly outsourced. This situation is further complicated by a context where uncertainty multiplies risk of shortages or serious disruptions. Using two case studies conducted in the same context, we identify two types of response to crisis: one short term based on progressive information system degradation and crisis decision making, the other consisting of crisis man- agement by learning that allows for dynamic adjustment of the organization. This article develops the notion of an information platform which by supporting the main supply chain processes also permits analysis of modification of strategic parameters affecting each actor, thus allowing them, and the system as a whole, to dynamically adjust to the situation via access to and transmission of real time information

    Editorial for the Special issue on “Managing Industry 4.0 technologies and their impact on the sustainable performance of territories”

    Get PDF
    A proliferation of technological advances often described under the umbrella term of Industry 4.0 (I4.0), are increasingly changing the way firms operate as they improve their productivity and performance (Wagner and Walton, 2016). Despite a substantial body of literature have examined I4.0 at the firm level, its effect on regions and territories is largely remaining unexplored (Rüßmann et al., 2015). A wealth of advanced technologies and systems such as artificial intelligence, smart systems, smart cities, predictive analytics, blockchain, autonomous vehicles, Big Data, Internet of Things increasingly change not only the companies that adopt them but also the context within which this adoption take place (Schwab, 2016)

    Supply chain viability: conceptualization, measurement, and nomological validation

    Full text link
    Supply chain viability (SCV) is an emerging concept of growing importance in operations management. This paper aims to conceptualize, develop, and validate a measurement scale for SCV. SCV is first defined and operationalized as a construct, followed by content validation and item measure development. Data have been collected through three independent samplings comprising a total of 558 respondents. Both exploratory and confirmatory factor analyses are used in a step-wise manner for scale development. Reliability and validity are evaluated. A nomological model is theorized and tested to evaluate nomological validity. For the first time, our study frames SCV as a novel and distinct construct. The findings show that SCV is a hierarchical and multidimensional construct, reflected in organizational structures, organizational resources, dynamic design capabilities, and operational aspects. The findings reveal that a central characteristic of SCV is the dynamic reconfiguration of SC structures in an adaptive manner to ensure survival in the long-term perspective. This research conceptualizes and provides specific, validated dimensions and item measures for SCV. Practitioner directed guidance and suggestions are offered for improving SCV during the COVID-19 pandemic and future severe disruptions

    Maîtrise des incertitudes de l'environnement de la chaîne logistique : une analyse au regard du décalage entre théorie et pratique

    No full text
    Industrial companies evolve from now on in a more and more uncertain environment. These uncertainties are linked to upstream and downstream the supply chain, but are also linked to the internal configuration of the supply chain and its information systems, or even linked to possible fatal organizational behavior. This thesis has for objective to understand how industrial companies manage their supply chains environmental uncertainties. The research takes place in two stages: a preliminary and main study. The participating observation led during the preliminary study showed that a company, famous in supply chain management, chose to restructure its resources in order to decrease the vulnerability of its supply chain. So, the main study is built around the Resource-based view based and around the dynamic capacities. The literature review shows that agility and resilience are two dynamic capacities of supply chain management. Using the case-study method as an heuristics allowing to organize the research, six case studies are conducted within industrial companies of heterogeneous sizes and varied business sectors. Once the data were collected and coded in the form of multithematic coding on the software NVIVO 8, the results get organized according to the case study protocol. They redraw the uncertainties met by industrial companies and attempt to show which tools, practices and strategies are developed to decrease the vulnerability. These tools, practices and strategies are some constructs of the dynamic capacities and allow identifying if companies show agility and resilience capabilities. Then, the results show the difficulties in the development of the dynamic capacities and the analysis identifies the lack of knowledge in supply chain management as the main barrier. The discussion of the thesis turns around knowledge as the answer to uncertainty. The thesis identifies a gap between strong academic knowledge in supply chain management and a more restricted knowledge in companies. The academic literature is mainly presenting the supply chain management held in mature companies. However, they do not represent other industrial companies. Focusing on the link between research, education and practice, it is possible to identify that a lack of knowledge in supply chain management leaves some room for the creation of latest fads in the world of practice and research. Finally, the thesis shows the emergence conditions for several forms of institutional isomorphism in the university institutions, engendering latest fads in the academic works, having only a relative link with the empirical reality.Les entreprises industrielles évoluent désormais dans un environnement de plus en plus incertain. Ces incertitudes sont liées à la fois à l'amont et à l'aval de la chaîne logistique, mais aussi à la configuration interne de la chaîne et de ses systèmes d'information ou encore à des comportements organisationnels néfastes. Cette thèse a pour objectif de comprendre comment les entreprises industrielles gèrent les incertitudes présentes dans l'environnement de leurs chaînes logistiques. Notre recherche se déroule en deux étapes : une étude préliminaire et principale. L'observation participante menée en étude préliminaire a permis de montrer qu'une entreprise réputée en management de la chaîne logistique a choisi de restructurer ses ressources afin de diminuer la vulnérabilité de sa chaîne logistique. Ainsi, l'étude principale s'articule autour de l'approche basée sur les ressources et du courant des capacités dynamiques. La revue de la littérature montre que l'agilité et la résilience sont deux capacités dynamiques du management de la chaîne logistique. Mobilisant la méthode des cas comme heuristique permettant d'organiser la recherche, six études de cas sont menées au sein d'entreprises industrielles de tailles hétérogènes et de secteurs d'activités variés. Une fois les données collectées et codées sous forme de codage multithématique sur le logiciel NVIVO 8, les résultats s'organisent autour du protocole de cas. Ils retracent les incertitudes rencontrées par les entreprises industrielles et s'attachent à montrer quels outils, pratiques et stratégies sont développés pour diminuer la vulnérabilité. Ces outils, pratiques et stratégies sont des construits des capacités dynamiques et permettent d'identifier si les entreprises font preuves d'agilité et de résilience. Puis, les résultats montrent les difficultés au développement des capacités dynamiques et l'analyse identifie le manque de connaissance en management de la chaîne logistique comme barrière principale. La discussion de la thèse s'oriente autour de la connaissance comme réponse à l'incertitude. La thèse met en avant un décalage entre des connaissances académiques avancées en management de la chaîne logistique et des connaissances plus restreintes en entreprises. La littérature académique s'intéresse principalement aux entreprises matures en management de la chaîne logistique. Cependant, elles ne sont pas représentatives des autres entreprises industrielles. En s'intéressant au lien entre recherche, enseignement et pratique, il est possible d'identifier que le manque de connaissance en management de la chaîne logistique laisse un espace à la création d'effets de mode à la fois dans le monde de la pratique et de la recherche. Finalement, la thèse met en avant les conditions d'émergence de formes d'isomorphisme institutionnel dans les institutions universitaires, engendrant des effets de mode dans les travaux académiques, le tout n'ayant qu'un lien relatif avec la réalité empirique
    corecore