Gestió del coneixement » Noves professions per a l’individu connectat En aquest post revisarem els elements socials i tecnològics que influeixen en el canvi de les competències i habilitats professionals adients a la societat web, les noves funcions i fins i tot els perfils professionals de futur. Segons un informe recent de l’Institute for the Future (IFTF), anomenat Future Work Skills 2020, cal tenir en compte una sèrie de nous factors quan pensem en les professions del futur: L’augment de l’esperança de vida a nivell global canviarà la naturalesa del que és una carrera en el món laboral i la forma d’enfocar qualsevol iniciativa vinculada amb l’aprenentatge. L’aparició de les màquines i sistemes intel·ligents: l’automatització en el lloc de treball farà que els treballadors humans deixin de fer tasques rutinàries i repetitives. La consolidació d’un món computacional: la creixent presència de sensors i el poder il·limitat del processament de dades transformaran el món en un sistema programable. Donar sentit. Nous perfils professionals 1. 2. 3. 4. 5. 6. 7. 8.
Library and Information Science: A Guide to Online Resources (Virtual Programs & Services, Library of Congress) While many scholarly library and information science publications are still available only in print or through subscription databases, there are a growing number of free online repositories and other full-text resources available on the Web. This page highlights major sources of Web-based, full-text content in the field. IFLA Glossary of Terms and Abbreviations and Useful Links A glossary of major library terms and abbreviations prepared by the International Federation of Library Associations and Institutions' Section on Bibliography. Multilingual Glossary of Terms A glossary of library science terminoloy designed specifically for English as a Second Language (ESL) users. Online Dictionary of Library and Information Science (ODLIS) A major resource for terminology used in all types of libraries. Trove Australia's major online repository, Trove provides information about millions of resources collected by Australia’s libraries, universities, research repositories, and cultural institutions.
Organisation apprenante Un article de Wikipédia, l'encyclopédie libre. Une organisation apprenante est une organisation humaine (entreprise, administration, etc.) qui met en œuvre un ensemble de pratiques et de dispositions pour rester en phase avec son écosystème. Chaque entreprise peut être considérée comme un système vivant opérant au sein d'un écosystème. À l'intérieur de l'entreprise, comme dans un organisme multicellulaire, chaque membre est lui-même attentif à cet écosystème. Historique et origines[modifier | modifier le code] Né des travaux de Chris Argyris[1] et de Peter Senge[2], le concept et la pratique de l'organisation apprenante se sont développés tout au long des années 90 et 2000, la réflexion sur le « comment apprendre » faisant la suite des recherches de Jean Piaget[3] sur l'émergence de l'intelligence chez l'enfant, l'apprentissage par accommodation, par assimilation... Transposition pratique en termes de management[modifier | modifier le code] Elle s’appuie sur : ↑ Chris Argyris et Donald A.
Organize Your Research Introduction to citation management Introduction to Data Management Good data management is critical to both the short and long term usability of data by yourself as well as other researchers. Given the changing research environment-where data intensive work is common across many disciplines and where we are amassing large quantities of data that may be useful to others-paying close attention to data management at the start and throughout the lifecycle of a research project will pay off in the long term. In addition, funders are beginning to require that proposals include data management plans. You can learn more aboutservices the library offers through our Data Management portal. More services The Scholarly Commons The Scholarly Commons, a unit of the University of Illinois Library, opened in August 2010 to serve the emerging needs of faculty, researchers, and graduate students pursuing in-depth research and scholarly inquiry. The Learning Commons Personal research consultation Data Services
Configuration management Top level Configuration Management Activity model Configuration management (CM) is a systems engineering process for establishing and maintaining consistency of a product's performance, functional and physical attributes with its requirements, design and operational information throughout its life.[1][2] The CM process is widely used by military engineering organizations to manage complex systems, such as weapon systems, vehicles, and information systems. Outside the military, the CM process is also used with IT service management as defined by ITIL, resp. Introduction[edit] CM, when applied over the life cycle of a system, provides visibility and control of its performance, functional and physical attributes. CM emphasizes the functional relation between parts, subsystems, and systems for effectively controlling system change. History[edit] Overview[edit] CM is the practice of handling changes systematically so that a system maintains its integrity over time. Software[edit] Standards[edit]
Institute of Museum and Library Services Metalearning and Other Ghastly Sounding Words Metalearning in teamsWikipedia makes a distinction when metalearning is used in the context of performances of teams and relationships: on first reading, you’re a genius! Having spent half an hour at least, thinking and researching the meanings behind these words and phrases, I found they took me back to a topic I’ve revisited several times on this blog in the last year. Complexity seems to find its way into everything I look at to do with successful teams and sustainable communities. After unpacking the seemingly garbled sentence, I found that it offered a lot to do with thinking and learning involving teams and relationships. Losada Formerly initiated by Marcial Losada, metalearning is the study of how groups of individuals in a team contribute to its performance. By understanding and controlling the balance between the external and internal references to do with that thinking, the results can lead to high performance in business teams. The Losada Zone Frequent innovation
EasyBib: Free Bibliography Generator - MLA, APA, Chicago citation styles Critical systems thinking Critical systems thinking is a systems thinking framework, that wants to bring unity to the diversity of different systems approaches and advises managers how best to use them.[1] Critical Systems Thinking according to Bammer (2003) "aims to combine systems thinking and participatory methods to address the challenges of problems characterised by large scale, complexity, uncertainty, impermanence, and imperfection. It allows nonlinear relationships, feedback loops, hierarchies, emergent properties and so on to be taken into account and Critical Systems Thinking has particularly problematised the issue of boundaries and their consequences for inclusion, exclusion and marginalisation".[2] See also[edit] Publications[edit] Trudi Cooper (2003). References[edit]
NoodleTools : MLA / APA / Chicago Bibliography Composer, Notecards, Outlining Quels indicateurs pour la gestion des talents ? Publié le 03/11/2010 Attention, cet article a été publié le 03/11/2010. Ce dispositif d'archives vous donne accès à l'ensemble des publications du site FocusRH. Assurez-vous de lire les dernières dépèches et dossiers publiés en utilisant notre moteur de recherche Quels sont les principaux indicateurs pour mesurer la gestion des talents ? Basée sur l’analyse des informations renseignées par un millier d’entreprises de 20 pays dans l’outil d’évaluation développé par Bersin & Associates et StepStone Solutions, l’étude révèle que pour 57 % des organisations, l’implication des collaborateurs est l’indicateur le plus utilisé pour mesurer l’impact de la gestion des talents sur l’entreprise. Les salaires passés en revue Autre indicateur de plus en plus suivi, les revues salariales qui permettent aux responsables RH de voir comment leurs salariés sont payés par rapport à la moyenne du marché, de manière à rectifier le tir lorsque la politique de rémunération ne se révèle plus compétitive.