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1344 research outputs found
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Inter-organizational management controls and boundary spanners’ relational skills: The impact of collaboration scope
No full textInternational audienceLa recherche analyse l'effet des contrôles de gestion interorganisationnels sur les personnes en charge des coopérations et la performance de l'entreprise, en fonction de l'étendue ou de la profondeur des relations acheteur-fournisseur
The Legal Grounds of Irregular Migration: A Global Game Approach
No full textInternational audienceThis paper analyses the relationship between regular and irregular migration taking into account the migration network effect and the network creation mechanism. We assume that migrants can obtain a high payoff only if a critical mass of migrants is reached in the destination country. If candidates to migration receive biased signals about the economic situation of the destination country, the migrants’ decision problem can be analyzed as a standard global game. Tying the quota of regular migrants to the economic performance of countries might create large discontinuities in immigration flows, with some countries attracting the bulk of irregular migrants and the other being shunned by the migrants
An algorithmic framework for the exact solution of tree-star problems
No full textInternational audienc
Should sellers tell the story of second-hand products ? The influence of symbolic contagion on a second-hand purchase
No full textInternational audienc
Should sellers tell the story of second-hand products ? The influence of symbolic contagion on a second-hand purchase
No full textInternational audienc
Research on Big Data - A systematic mapping study
No full textInternational audienceBig Data has emerged as a significant area of study for both practitioners and researchers. Big Data is a term for massive data sets with large structure. In 2012, Big Data passed the top of the Gartner Hype Cycle, attesting the maturity level of this technology and its applications. The aim of this paper is to examine how do researchers grasp the big data concept? We will answer the following questions: How many research papers are produced? What is the annual trend of publications? What are the hot topics in big data research? What are the most investigated big data topics? Why the research is performed? What are the most frequently obtained research artefacts? What does big data research produces? Who are the active authors? Which journals include papers on Big Data? What are the active disciplines? For this purpose, we provide a framework identifying existing and emerging research areas of Big Data. This framework is based on eight dimensions, including the SMACIT (Social Mobile Analytics Cloud Internet of Things) perspective. Current and past research in Big Data are analyzed using a systematic mapping study of publications based on more than a decade of related academic publications. The results have shown that significant contributions have been made by the research community, attested by a continuous increase in the number of scientific publications that address Big Data. We found that researchers are increasingly involved in research combining Big Data and Analytics, Cloud, Internet of things, mobility or social media. As for quality objectives, besides an interest in performance, other topics as scalability is emerging. Moreover, security and quality aspects become important. Researchers on Big Data provide more algorithms, frameworks, and architectures than other artifacts. Finally, application domains such as earth, energy, medicine, ecology, marketing, and health attract more attention from researchers on big data. A complementary content analysis on a subset of papers sheds some light on the evolving field of big data research
Evolving conceptualizations of organizational environmentalism
No full textOver the past 30 years, organizations of many different kinds have introduced environmental preoccupations into decision-making, engaging with – and in many cases co-constructing – a striking array of rankings, best practices, standards and other governance tools. However, there has thus far been surprisingly little exploration of the evolving normative implications of environmentalism: existing organizational research treats environmentalism as a static, uniform and quasi-naturalistic phenomenon. In this article, we argue instead that environmentalism is fluid and multifaceted, evolving over time to produce differing conceptualizations that become affiliated with – and mobilized by – particular groups of actors. Using the theoretical framing of path generation, we identify how environmentalism follows a path characterized by episodes of re-conceptualization and re-labelling, a discursive evolution reflecting incremental yet consequential interactions with other institutional paths. We engage in a conceptual history to identify junctures where environmentalism meets with other institutional trajectories, facilitating shifts in meaning. We identify moments of crookedness in the transnational environmental path that are symbolically reflected in label changes – from the emergence of “sustainable development” in the 1980s, to “sustainability” in the 1990s, and more recently, an offshoot towards “resilience”. Those label changes are not only, we propose, symbolic markers but are also performative and entrench consequential regime transformations with regard to environmentalism. Through our exploration, we contribute to theory development while also generating empirical implications: theory-wise, we identify mechanisms of path generation that inform broader debates around path dependence. Empirically, we illustrate how different variants of environmentalism are connected to specific meaning systems, exhibiting affinity with different organizational fields
Evaluation des systèmes d'information à base de technologies émergentes : application à la blockchain
No full textNational audienceLes technologies émergentes représentent une innovation majeure qui offre des avancées significatives aux organisations tant privées que publiques. Un exemple de ces technologies est la " blockchain " qui combine des mécanismes de cryptographie et l'architecture pair à pair. L'importance que prennent ces technologies émergentes nécessite le recours à des méthodes d'évaluation afin d'appréhender leur apport et les risques associés. L'objectif de cet article est de proposer une méthode d'aide à l'évaluation des systèmes d'information à base de technologies émergentes et de l'illustrer par l'application à la "blockchain ". Cette démarche de guidage est fondée sur le constat que les technologies émergentes sont des systèmes complexes. Notre démarche combine trois cadres conceptuels : la théorie sous-jacente aux systèmes d'information complexes, la systémique et la norme ISO 25001 dédiée à la qualité des logiciels. Nous proposons une hiérarchie multicritères qui sert de base à l'évaluation et nous l'appliquons au cas particulier de la " blockchain "
