Four Dimensions of Knowledge Management -Organizational Memory, Knowledge Retrieval, Knowledge Visualization and Knowledge Transfer

Tochtermann, Klaus

Abstract

Information technology is used pervasively in organizations and thusqualifies as a natural medium for supporting the flow of knowledge within anorganization. For an efficient knowledge management the application ofinformation technology should take an integrated view on four dimensions: Anorganizational memory is the key to maximizing the return on intellectual assets ofan organization. Knowledge at your finger-tips is certainly one of the mostattractive visions knowledge management can offer to its users. Knowledgeretrieval helps make this vision become reality. Knowledge visualizationsupplements knowledge retrieval in that it offers users sophisticated techniques tovisualize complex structures, to contextualize knowledge and to see invisiblepatterns in organizational memories. Today organizations are also required tocontinuously extend the knowledge of their employees to meet requirements in newglobal markets, economies and societies. It is evident that knowledge transfer, i.e.the integration of lifelong education and training in our private and working life,will play a central role in this context.

Date

2000

Type

Proceedings

Identifier

oai:editlib.org:p/6431
http://editlib.org/p/6431

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Towards Open Knowledge : The State of World Bank Knowledge Services

World Bank (Washington, DC, 2014-12-17)

This first World Bank Knowledge Report launches what is intended as a series of World Bank Knowledge Reports. Although knowledge is a fundamental to the Bank s overall mission, and informs all of the Bank s development activities, it has not received the same degree of attention from management that has been accorded to its lending activities. By paying attention to knowledge work as a distinct service, the Bank and our stakeholders will be able to better understand the results of that work. This will lead to better management of the knowledge production process, more strategic partnerships with other knowledge institutions, and greater operational and policy impact. As the first in the series, this report spends some time surveying the horizon describing what kind of knowledge activities the World Bank undertakes and what its experience with this type of work has been. Consultations within the Bank and with external reviewers and partners during preparation of the report have enabled the institution to speak more clearly about the full range of these activities, and how they are evolving in response to changing conditions in the world and the changing demands of clients. In terms of the way forward, this first Knowledge Report makes some specific recommendations for measuring results and opening many of the Bank s processes to more external inputs. The report also identifies important issues that will become part of ongoing conversations, both within the Bank and with clients and external partners. This volume is a synthesis of inputs from a variety of studies and units across the Bank. These are covered in significantly greater detail in a Background Report, which may be of greatest interest to Bank staff and managers who want a more in-depth understanding.
Reforming Innovation Systems : Moving Beyond Lectures and Labs

World Bank (Washington, DC, 2009)

These proceedings provide an overview of the main issues and conclusions presented at the 2009 Fontainebleau knowledge economy forum by an outstanding group of academics, practitioners, and policymakers. These proceedings encapsulate the debate that was generated by: 1) the World Bank's most recent Europe and Central Asia Knowledge Economy (ECAKE) third report: restructuring of research and development institutes across the Europe and Central Asia (ECA) Region, which was put up for consultations with the forum's participants; 2) the proceedings reflect the discussion on the higher education reform across the ECA region, specifically the merits and challenges associated with world-class universities and the capacity of ECA's Higher Education Institution's (HEIs) to foster skills and job growth; and 3) the need for adoption of a stronger national Quality Infrastructure (QI) in countries across the ECA region as a key ingredient of more effective commercialization of research output, product development, and exports. The study builds on the extensive literature on enterprise restructuring and privatization in ECA on the one hand, and on the evidence from the Research and Development Institute (RDI) statistics and case studies on the other, to strategy for reform of RDIs.
A view on "big data" and its relation to Informetrics

ROUSSEAU, Ronald (2012-11-20)

Purpose: big data offer a huge challenge. Their very existence leads to the contradiction that the more data we have the less accessible they become, as the particular piece of information one is searching for may be buried among terabytes of other data. In this contribution we discuss the origin of big data and point to three challenges when big data arise: Data storage, data processing and generating insights. Design/methodology/approach: Computer-related challenges can be expressed by the CAP theorem which states that it is only possible to simultaneously provide any two of the three following properties in distributed applications: Consistency (C), availability (A) and partition tolerance (P). As an aside we mention Amdahl&rsquo;s law and its application for scientific collaboration. We further discuss data mining in large databases and knowledge representation for handling the results of data mining exercises. We further offer a short informetric study of the field of big data, and point to the ethical dimension of the big data phenomenon. Findings: There still are serious problems to overcome before the field of big data can deliver on its promises. Implications and limitations: This contribution offers a personal view, focusing on the information science aspects, but much more can be said about software aspects. Originality/value: We express the hope that the information scientists, including librarians, will be able to play their full role within the knowledge discovery, data mining and big data communities, leading to exciting developments, the reduction of scientific bottlenecks and really innovative applications.