Open Access Countries and Organisations - africa. 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. Maîtrise / maître d’oeuvre / maître d’ouvrage. 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. Dans l'entreprise apprenante, chaque membre apprend les uns des autres. 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...
Elle s’appuie sur : ↑ Chris Argyris et Donald A. 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. ISO/IEC 20000, and with other domain models in the civil engineering and other industrial engineering segments such as roads, bridges, canals, dams, and buildings.[3][4][5] Introduction[edit] CM, when applied over the life cycle of a system, provides visibility and control of its performance, functional and physical attributes.
History[edit] Overview[edit] Software[edit] Configuration management database[edit] Information assurance[edit] 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. 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). "Critical management, critical systems theory and System Dynamics", online paper.Robert L.
References[edit] 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.
Joseph Schumpeter. Austrian political economist (1883–1950) Schumpeter was one of the most influential economists of the early 20th century, and popularized the term "creative destruction", coined by Werner Sombart.[4][5][6] Early life and education[edit] Schumpeter was born in 1883 in Triesch, Habsburg Moravia (now Třešť in the Czech Republic, then part of Austria-Hungary) to German-speaking Catholic parents.
Both of his grandmothers were Czech.[7] Schumpeter did not acknowledge his Czech ancestry; he considered himself an ethnic German.[7] His father, who owned a factory, died when Joseph was only four years old.[8] In 1893, Joseph and his mother moved to Vienna.[9] Schumpeter was a loyal supporter of Franz Joseph I of Austria.[7] Schumpeter was educated at the Theresianum, and began his career studying law at the University of Vienna under Eugen von Böhm-Bawerk, an economic theorist of the Austrian School. In 1913–1914, Schumpeter taught at Columbia University as an invited professor.
Career[edit] Knowledge intensive business services. Knowledge Intensive Business Services (commonly known as KIBS) are services and business operations heavily reliant on professional knowledge. They are mainly concerned with providing knowledge-intensive support for the business processes of other organizations. As a result, their employment structures are heavily weighted towards scientists, engineers, and other experts. It is common to distinguish between T-KIBS, (those with high use of scientific and technological knowledge - R&D services, engineering services, computer services, etc.), and P-KIBS, who are more traditional professional services - legal, accountancy, and many management consultancy and marketing services.
These services either supply products which are themselves primary sources of information and knowledge, or use their specialist knowledge to produce services which facilitate their clients own activities. The European Monitoring Centre on Change (EMCC) has published online a number of reports and studies of KIBS. Strategic information system. Strategic information systems are information systems that are developed in response to corporate business initiative. They are intended to give competitive advantage to the organization. They may deliver a product or service that is at a lower cost, that is differentiated, that focuses on a particular market segment, or is innovative. Overview[edit] Strategic systems are information systems that are developed in response to corporate business initiative. They are intended to give competitive advantage to the organization.
They may deliver a product or service that is at a lower cost, that is differentiated, that focuses on a particular market segment, or is innovative. Strategic information management is a salient feature in the world of information technology (IT). Some of the key ideas of storefront writers are summarized. History[edit] "I call this the strategic perspective on information systems (technology). Strategic information system topics[edit] Definition[edit] Michael E. Gestion électronique des documents. Un article de Wikipédia, l'encyclopédie libre. Pour les articles homonymes, voir GED. La gestion électronique des documents (GED ou EDM[1] pour Electronic Document Management en anglais) désigne un procédé informatisé visant à organiser et gérer des informations et des documents électroniques au sein d'une organisation.
Le terme GED désigne également les logiciels permettant la gestion de ces contenus documentaires. Les solutions et projets de GED peuvent permettre des gains en qualité et en coût rapide pour les organisations, qu'il s'agisse d'entreprises privées ou d'administrations. Une GED dispose de fonctions de classement / navigation et également d'un moteur de recherche qui permettent de retrouver les contenus gérés, au moyen de vues, de recherches structurées ou plein texte (« full text »). Il existe 4 étapes majeures dans la gestion électronique des documents : acquisition, traitement, stockage et diffusion. Acquisition des documents[modifier | modifier le code] Business process reengineering. Business Process Reengineering Cycle Business process re-engineering is a business management strategy, originally pioneered in the early 1990s, focusing on the analysis and design of workflows and business processes within an organization.
BPR aimed to help organizations fundamentally rethink how they do their work in order to dramatically improve customer service, cut operational costs, and become world-class competitors.[1] In the mid-1990s, as many as 60% of the Fortune 500 companies claimed to either have initiated reengineering efforts, or to have plans to do so.[2] BPR seeks to help companies radically restructure their organizations by focusing on the ground-up design of their business processes. According to Davenport (1990) a business process is a set of logically related tasks performed to achieve a defined business outcome.
Business process re-engineering is also known as business process redesign, business transformation, or business process change management. Overview[edit] PolicyPitch. IJCSN Journal is an International Journal of Computer Science and Network (IJCSN) is an open source online peer reviewed computer science journal launched by D-LAR Labs (Digital Library of Academic Research) publisher that publishes Review/Research articles which contribute new theoretical results in all areas of Computer Science, Communication Network and Information Technologies. International Journal of Computer Science and Network. Founding[edit] IJCSN Journal was founded in 2011 by Digital Library of Academic Research, an Indian Digital Library.
Subject Areas[edit] Publications[edit] For more, visit IJCSN Publications References[edit] External links[edit] See also[edit] IEEE Journal. Knowledge policy. Policies are the paradigms of government and all bureaucracies. Policies provide a context of rules and methods to guide how large organizations meet their responsibilities. Organizational knowledge policies describe the institutional aspects of knowledge creation, management, and use within the context of an organization’s mandate or business model. Social knowledge policies balance between progress in the knowledge economy to promote global competitiveness with social values, such as equity, unity, and the well-being of citizens. Knowledge policies[edit] From a technological perspective, Thomas Jefferson (1816) noted that laws and institutions must keep pace with progress of the human mind.
From a rate of change point of view, McGee and Prusak (1993) note that when an organization changes its culture, information policies are among the last thing to change. A number of authors have indicated that it will be very difficult to monitor and regulate cyberspace. See also[edit] eRulemaking. Electronic rulemaking (also known as eRulemaking and e-rulemaking) is the use of digital technologies by government agencies in the rulemaking and decision making processes. An interdisciplinary electronic rulemaking research community has formed as a result of National Science Foundation funding under the auspices of the Digital Government Program.
Groups such as the Cornell E-Rulemaking Initiative (CeRI) have been focused on researching how technologies such as Web 2.0 can help foster greater public participation in the political process, specifically, in Federal Agencies’ rulemaking. Background[edit] In the United States, Electronic rulemaking (also known as eRulemaking and e-rulemaking) can be understood as a subset of a larger Federal eGovernment initiative.
President George W. Bush made strides in increasing e-Government. Since 2008, President Barack Obama has greatly increased the number of Federal eGovernment initiatives.[2] 2009 initiatives and reforms[edit] See also[edit] Semantic Interoperability Centre Europe. The Semantic Interoperability Centre Europe (SEMIC.EU) was an eGovernment service initiated by the European Commission and managed by the Interoperable Delivery of European eGovernment Services to public Administrations, Businesses and Citizens (IDABC) Unit. As one of the 'horizontal measures' of the IDABC, it was established as a permanent implementation of the principles stipulated in the 'European Interoperability Framework' (EIF).
It offered a service for the exchange of semantic interoperability solutions, with a focus on demands of eGovernment in Europe. Through the establishment of a single sharing and collaboration point, the European Union wanted to resolve the problems of semantic interoperability amongst the EU member states. The main idea behind the service was to make visible specifications that already exist, so as to increase their reuse. In December 2011, the content and the activities of SEMIC.eu was migrated to a new collaborative platform: Joinup. Objectives[edit] E-Government. Transformational Government. National innovation system. Knowledge economy. Framework for pmgt.Pdf. The Nature of Entrepreneurial Opportunities: Understanding the Process Using the 4I Organizational Learning Framework - Dutta - 2005 - Entrepreneurship Theory and Practice.
Machine à vecteurs de support. Apprentissage supervisé. Algorithmic learning theory. Genetic algorithm. Genetic optimization method. Principaux projets et réalisations en intelligence artificielle. Applying machine learning or bio-inspired learning techniques to communication networks: Firestation. Authoring system. Knowledge manager. Competency management system. International Centre for Decision Sciences & Forecasting (CDSF) ALIVE » Augmented Learning Lecture. Gestion des connaissances.
Machine learning. Seven Aspects of Strategy Formation.