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Abstract

This book looks at the key skills that are required in organizations in the information intensive society; it also examines the power of information behaviour on the construction of different kinds of shared knowledge and social identity in a group. The book introduces the different dimensions of social capital that is structural and cognitive, and looks at the relational aspects of information behaviour in organizations. This book analyses experiences with two different case studies - in the financial and biotechnology industries - in order to gain additional insights in how the internal organization environment should be designed to support the development of the organization's intellectual capital. Key Features 1. Introduces social capital dimensions to the knowledge management framework 2. Provides empirical work on the new combination of social capital and organizational information behaviour. 3. Two different information sharing practices are presented: a claims handling unit (routine based work) and a biotechnology firm (expert work) 4. Develops social capital measures into qualitative information research 5.The book illustrates the importance of social aspects in ma She has worked as a visiting researcher at Napier University, Edinburgh, 2004-05. Her teaching and research concerns information seeking, information management in business organizations, and aspects of social capital and knowledge sharing in groups and organizations. She has published several articles and papers in these areas. Readership The book is aimed at academics and students at all levels in library and information science, as well as information management and knowledge management practitioners and managers interested in managing information and knowledge effectively.Contents Part 1: Theories of Information Sharing Information sharing in context Patterns of sharing - enablers and barriers Social navigation Part II: Two Practices in Information Sharing Introducing the two cases Claims handlers Expert organisation Part III: Insights into Information, Knowledge Sharing and Social Capital Dimensions of social capital in the two cases Social capital and sharing - building structures for knowledge sharing and its management Importance of the awareness of social capital in connection with information and knowledge sharing in today's companies.

Footnote

Rez. in: Mitt VÖB 60(2007) H.4, S.95-97 (O. Oberhauser): "Die Autorin ist Dozentin am Institut für Informationswissenschaft der Åbo Akademi University (Finnland) und vertritt zur Zeit den dort vakanten Lehrstuhl. Ihr vorliegendes Buch geht zumindest teilweise auf einen längeren Forschungsaufenthalt an der Napier University, Edinburgh, zurück, wo die informationswissenschaftlich orientierte Forschung am Centre for Social Informatics, welches zum dortigen Fachbereich Informatik zählt, angesiedelt ist. Social informatics (nicht zu verwechseln mit Sozialinformatik, einem Terminus aus dem Gebiet der Sozialen Arbeit), bezieht sich auf die disziplinübergreifende Beschäftigung mit dem Design, dem Einsatz und der Verwendung von Informations- und Kommunikationstechnologien und ihrer Interaktion mit institutionellen und kulturellen Kontexten unter Einschluss von Institutionen/Organisationen und der Gesellschaft. Sie wird von Vertretern verschiedener Wissenschaftsdisziplinen mit unterschiedlichen Themenstellungen bzw. methodischen Ansätzen betrieben. In diesem Umfeld ist auch das vorliegende Buch beheimatet. Zwar ist "information sharing" ein Begriff, der aus der Forschung zu dem breiteren Themenbereich "information seeking and use" bzw. "(human) information behaviour" stammt, doch macht schon der erste Satz des Vorworts klar, dass hier eine thematische Festlegung auf den institutionellen Bereich und damit eine Einordnung in das Gebiet des Wissensmanagements erfolgt ist: "How can organisations correspond to the current demands of effective information and knowledge sharing?" (p. ix). Die Herausforderungen ("challenges") werden im Hinblick auf das Verständnis, die Organisation und die Verwaltung von Wissen gesehen und in technische, betriebliche, persönliche und soziale Aspekte unterteilt. Die Konzentration auf die soziale Dimension, so die Autorin, sei heute besonders wichtig für eine kohärente Beurteilung von Informationsverhalten und -austausch im Unternehmen.
Das Buch gliedert sich in drei Teile. Im ersten Abschnitt, Theories of Information Sharing, erfolgt eine kurze Diskussion von Begriffen und Konzepten aus dem Bereich der kontextuellen Informationssuche, der Information im organisatorischen Umfeld, der Sozial- und Gruppenpsychologie, sowie vor allem die Einführung des Konzeptes "social capital" (soziales Kapital, Sozialkapital), eines aus der Soziologie stammenden theoretischen Ansatzes, als Rahmen für die Betrachtung der Informationsprozesse im Unternehmen. Hier wird Sozialkapital verstanden als die Werte, Normen und Netzwerke, die informationsbezogene Interaktionen möglich und wirksam machen und so die Basis für kollaborative Arbeit zur Verfolgung gemeinsamer Ziele schaffen (p. 30). Der zweite Teil - umfangmässig der größte des Buches - ist mit Two Practices in Information Sharing überschrieben und berichtet detailliert über Fallstudien, die die Autorin in zwei finnischen Unternehmen mittels einer kleinen Zahl qualitativer Interviews durchführte. Dabei wird eine Firma aus der Versicherungsbranche (als einer eher stabilen Branche) mit einem biotechnologischen Produktionsbetrieb (eher turbulent-expansives Umfeld) verglichen. Im dritten Teil, Insights into Information, Knowledge Sharing and Social Capital, diskutiert die Autorin die Resultate ihrer Erhebung, insbesondere im theoretischen Kontext des Sozialkapitals - so etwa die Motive für den Austausch von Informationen und Wissen. Natürlich wird Widén-Wulffs Studie vor allem jene interessieren, die sich mit dem betrieblichen Informations- und Wissensmanagement beschäftigen. Für Interessenten an "information seeking and retrieval" oder "human information behaviour" im Allgemeinen ist das Buch nur bedingt zu empfehlen, doch werden auch sie von den Hinweisen auf den überblicksartig gestreiften Forschungsstand profitieren können. Hingegen werden Rezipienten aus den klassischeren Bereichen des Bibliotheks- bzw. Informationswesens die Lektüre vermutlich als weniger leicht verdaulich empfinden. Der Ladenpreis von mehr als 55 Euro ist für einen Broschurband von knapp 230 Seiten im übrigen viel zu hoch."

Pages

xvii, 211 S

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Abstract

Web Intelligence is a new research area dealing with all aspects of intelligent data processing in the Web. As the ferst book devoted to Web Intelligence, this coherently written multi-author monograph provides a thorough introduction and systematic overview of this new area. It presents both the current state of research as well as application aspects. All major topics related to Web Intelligence which can have impact an future directions and developments are presented in detail. This book will be a valuable source of reference for years to all research and development professionals interested in Weh Intelligence. Students will also appreciate the numerous illustrations and examples.

Footnote

Rez. in: nfd - Information 54(2003) H.6, S.378-379 (T. Mandl): "Im Oktober 2001 fand erstmals eine Tagung mit dem Titel "Web Intelligence" statt. Ist dies nun eine neue Disziplin oder der Versuch analog zu "Artificial Intelligence" und "Computational Intelligence" ein neues Modewort zu kreieren? Geht es um den Einsatz sogenannter intelligenter Verfahren, um mit dem Internet umgehen zu können oder erscheint das Internet als "emerging global brain" (Goertzel 2002), also als eine unerschöpfliche Quelle von Wissen, die nur geschickt ausgebeutet werden muss? Kommt also die Intelligenz aus dem Web oder dient die Intelligenz als Werkzeug für das Web? Der Tagungsband ist seit Anfang 2003 verfügbar und bietet nun den Anlass, diesen Begriff anhand der darin präsentierten Inhalte zu bewerten. Die Herausgeber führen in ihrem einleitenden Artikel gleich die Abkürzung WI ein und versuchen tatsächlich "Web Intelligence" als neue Sub-Disziplin der Informatik zu etablieren. Zu diesem Zweck greifen sie auch auf die Anzahl der Nachweise für diese Phrase in Suchmaschinen zu. Zwar lieferten die Systeme angeblich Zahlen von über einer Million (S. 4), aber dies überzeugt sicher noch niemanden, das Studium der WI aufzunehmen. Allerdings weist dieses Vorgehen schon auf einen Kern der WI hin: man versucht, aus dem im Web gespeicherten Wissen neues Wissen zu generieren. Damit wäre man sehr nahe am Data oder eben Web-Mining, jedoch geht die Definition der Autoren darüber hinaus. Sie wollen WI verstanden wissen als die Anwendung von Künstlicher Intelligenz sowie Informationstechnologie im Internet (S. 2). Da nun Künstliche Intelligenz bei allen Meinungsverschiedenheiten sicherlich nicht ohne Informationstechnologie denkbar ist, wirkt die Definition nicht ganz überzeugend. Allerdings beschwichtigen die Autoren im gleichen Atemzug und versichern, diese Definition solle ohnehin keine Forschungsrichtung ausschließen. Somit bietet sich eher eine Umfangsdefinition an. Diese solle die wichtigsten Stoßrichtungen des Buchs und damit auch der Tagung umfassen. Als Ausgangspunkt dient dazu auch eine Liste der Herausgeber (S. 7f.), die hier aber etwas modifiziert wird: - Grundlagen von Web Informationssystemen (Protokolle, Technologien, Standards) - Web Information Retrieval, WebMining und Farming - Informationsmanagement unter WebBedingungen - Mensch-Maschine Interaktion unter Web-Bedingungen (hier "HumanMedia Engineering" S. XII) Eine grobe Einteilung wie diese ist zwar übersichtlich, führt aber zwangsläufig zu Ouerschnittsthemen. In diesem Fall zählt dazu das Semantic Web, an dem momentan sehr intensiv geforscht wird. Das Semantic Web will das Unbehagen mit der Anarchie im Netz und daraus folgenden Problemen für die Suchmaschinen überwinden, indem das gesamte Wissen im Web auch explizit als solches gekennzeichnet wird. Tauchen auf einer WebSeite zwei Namen auf und einer ist der des Autors und der andere der eines Sponsors, so erlauben neue Technologien, diese auch als solche zu bezeichnen. Noch wichtiger, wie in einer Datenbank sollen nun Abfragen möglich sein, welche andere Seiten aus dem Web liefen, die z.B. den gleichen Sponsor, aber einen anderen Autor haben. Dieser Thematik widmen sich etwa Hendler & Feigenbaum. Das Semantic Web stellt ein Ouerschnittsthema dar, da dafür neue Technologien (Mizoguchi) und ein neuartiges Informationsmanagement erforderlich sind (z.B. Stuckenschmidt & van Harmelen), die Suchverfahren angepasst werden und natürlich auch auf die Benutzer neue Herausforderungen zukommen. Diesem Aspekt, inwieweit Benutzer solche Anfragen überhaupt stellen werden, widmet sich in diesem Band übrigens niemand ernsthaft. Im Folgenden sollen die einzelnen Themengebiete anhand der im Band enthaltenen Inhalte näher bestimmt werden, bevor abschließend der Versuch eines Resümees erfolgt.
- Grundlagen von Web Informationssystemen Protokolle, Technologien und Standards existieren inzwischen mannigfaltig und lediglich für spezifische Anwendungen entstehen weitere Grundlagen. In dem vorliegenden Band gibt es etwa ein Datenmodell für XML-Datenbanken (Wuwongse et al.) und den Vorschlag einer 3DModellierung (Hwang, Lee & Hwang). Auch für Proxy-Server werden neue Algorithmen entwickelt (Aguilar & Leiss). - Web Information Retrieval, WebMining und Farming Neben klassischen Themen des Information Retrieval wie kontrolliertem Vokabular (Sim & Wong), Ranking (Wang & Maguire), Kategorisierung (Loia & Luongo) und Term-Erweiterung (Huang, Oyang & Chien) stehen auch typische Web Information Retrieval Themen. Multimedia Retrieval spielt eine wichtige Rolle im Web und dazu gibt es Beiträge zu Audio (Wieczorkowska & Ra- Wan, Liu & Wang) und Grafiken (Fukumoto & Cho, Hwang, Lee & Hwang). Das Hype-Thema Link-Analyse schlägt auch gleich den Bogen hin zum Web-Mining, ist mit fünf Beiträgen aber eher unterrepräsentiert. Link-Analyse stellt die Frage, was sich aus den inzwischen wohl über zehn Milliarden Links im Internet folgern lässt. So extrahieren zwei Beiträge die zeitliche Veränderung sozialer Strukturen in Web Communities. Matsumura et al. untersuchen, ob Außenseiter sich auch für die innerhalb einer Community diskutierten Themen interessieren und werten dies als Maß für die Verbreitung des Themas. Bun & Ishizuka interessieren sich nur für die Änderungen innerhalb einer Gruppe von thematisch zusammengehörigen Web-Abgeboten und analysieren in diesem Korpus die wichtigsten Sätze, die neu entstehende Themen am besten repräsentieren. Andere Mining-Beiträge befassen sich mit der Erstellung von Sprachressourcen (Chau & Yeh). - Informationsmanagement unter WebBedingungen Für das Informationsmanagement gelten Ontologien zur Beschreibung des vorhandenen Wissens als wichtiges Instrument und dementsprechend ist "Ontologie" auch ein Kandidat für das höchst-frequente Wort in dem Tagungsband.
Einen weiteren wichtigen Aspekt stellt nach wie vor E-Learning dar, das u.a. neue Anforderungen an die Erstellung und Verwaltung von Lernmodulen (Forcheri et al.) und die Zusammenarbeit von Lehrern und Schülern stellt (Hazeyama et al., Liu et al.). - Mensch-Maschine Interaktion unter Web-Bedingungen Benutzermodellierung (Estivill-Castro & Yang, Lee, Sung & Cho) hat mit der Popularität des Internet eine neue Dimension gewonnen und ist besonders im kommerziellen Umfeld sehr interessant. Eine Wissensquelle hierfür und für andere Anwendungen sind Log-Files (Yang et al.). Breiten Raum nehmen die Visualisierungen ein, die häufig für spezielle Benutzergruppen gedacht sind, wie etwa Data Mining Spezialisten (Han & Cercone) und Soziologen, die sich mit Web-Communities befassen (Sumi & Mase). Agenten (Lee) und Assistenten (Molina) als neue Formen der Interaktion treten nicht zuletzt für E-Commerce Anwendungen in Erscheinung. In diesem Kontext der Mensch-Medien-Beziehung soll das Ouerschnittsthema WebCommunities genannt werden, in dem die sozialen Aspekte der Kooperation (Hazeyama et al.) ebenso wie das Entdecken von Gruppenstrukturen (Bun & Ishizuka) untersucht werden. Dagegen kommen kaum empirische Evaluierungen vor, die belegen könnten, wie intelligent denn die Systeme nun sind. Worin liegt nun der Kern der Web Intelligence? Der Aspekt Web Mining befasst sich mit der Extraktion von Wissen aus dem riesigen Reservoir Internet während der Aspekt Web-Informationssysteme den Einsatz so genannter intelligenter Technologien in Informationssystemen im Internet behandelt. Da jedoch das Spektrum der eingesetzten Informationssysteme praktisch beliebig ist und auch die Auswahl der intelligenten Technologien keinen spezifischen Fokus erkennen lässt, stellt Web Intelligence momentan eher einen bunten Strauß dar als ein klar abgegrenztes Feld. Das Web taugt inzwischen kaum mehr zur Abgrenzung von Technologien. Die Beiträge sind stärker von den Communities der Autoren geprägt als von der Web Intelligence Community, die vielleicht noch gar nicht existiert. Wenn doch, so befindet sie sich in einem frühen Stadium, in dem sich wenig Gemeinsamkeiten zwischen den Arbeiten erkennen lassen. Allerdings macht die mangelnde Kohärenz die einzelnen Beiträge keineswegs uninteressant. Dieser Meinung sind offensichtlich auch die 57 Mitglieder des Programmkomitees der Tagung, unter denen auch drei deutsche Wissenschaftler sind. Denn für 2003 ist eine weitere Tagung geplant (http://www.comp.hkbu. edu.hk/WIo3/)."

Pages

450 S

Type

s

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Abstract

Für Mitarbeiter in Unternehmen gestaltet sich der effiziente Umgang mit einer ständig wachsenden Menge elektronisch verfügbarer Informationen schwierig. Die wesentlichen Herausforderungen aus Anwendersicht sind die Fragmentierung von Informationen, die starren Strukturierungsmöglichkeiten in Datenspeichern und die Isolierung von Wissensarbeit. Das anwenderorientierte System TagIt verbindet aktuelle Ansätze aus dem Persönlichen Informationsmanagement (PIM) und Collaborative Tagging. Die Fragmentierung wid durch Unifizierung von Informationen auf Metadaten- und Zugriffsebene überwunden. Starre Strukturen werden durch freie, multiple Strukturen ersetzt

BK

85.20 / Betriebliche Information und Kommunikation

Classification

85.20 / Betriebliche Information und Kommunikation

Pages

218 S

Series

Schriften zur Informationswissenschaft; Bd.52

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Abstract

The author systematically introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internetbased electronic commerce. He also describes ontology languages (XML, RDF, and OWL) and ontology tools, and the application of ontologies. In addition to structural improvements, the second edition covers recent developments relating to the Semantic Web, and emerging web-based standard languages.

Classification

004.67/8 22
ST 300 Informatik / Monographien / Künstliche Intelligenz / Allgemeines

DDC

004.67/8 22

Pages

X, 162 S

RVK

ST 300 Informatik / Monographien / Künstliche Intelligenz / Allgemeines

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Abstract

Corporate memory sind die Informationen, die eine Organisation für den Wiedergebrauch aufbewahrt. Diese wichtigen Daten werden durch Management und Konservierung zur effektiven Nutzung aufbereitet

Footnote

Rez. in: Electronic library 15(1997) no.5, S.406-407 (P. Sturges); College and research libraries 58(1997) no.6, S.581-582 (J. Blodgett)

Pages

XIX,112 S

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Date

22. 2.1997 19:44:14

Footnote

Rez. in: Journal of academic librarianship. 23(1997) no.1, S.54 (T.A. Brooks)

Pages

200 S

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Footnote

Rez. in: Journal of strategic information systems 5(1996) no.1, S.81-82 (P. Powell)

Pages

272 S

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Date

2. 2.2003 18:31:22

Pages

150 S

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Footnote

Rez. in: International journal of information management 16(1996) no.1, S.80 (L. Robinson)

Pages

215 S

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Footnote

Rez. in: Information services and use 16(1996) no.1, S.71-73 (A.E: Cawkell); International journal of information management 16(1996) no.2, S.160 (L. Robinson)

Pages

191 S

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Editor

Willcocks, L.

Footnote

Rez. in: Journal of strategic information systems 5(1996) no.1, S.81-82 (P. Powell)

Pages

XI,272 S

Type

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Footnote

Rez. in: Information processing and management 31(1995) no.1, S.141-142 (D.H. Bent)

Pages

XVII,244 S

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Abstract

The key focus of this book is to integrate elements of information and knowledge management, together with the business process and intellectual capital. The book questions some of the fundamental concepts and principles currently used to manage information that revolve around business processes. Specifically, it addresses the argument to more effectively evaluate the contributions of human and systems capital (which are defined) to a process, highlighting the need to make more conscious decisions about what role each will perform in the developed process.

Content

Key Features - Covers the integration of the intellectual capital with business processes - Provides practical guidance an analysis of the complete business process (including products and customers) from a human and systems capital perspective - Provides practical frameworks that enable readers to implement the suggested strategies regarding the development of intellectual capital round business processes, which are explained throughout the book The Author Liz Taylor has worked in the knowledge and information management field for the past eight years. Readership The book is primarily aimed at those individuals in a service provision environment, who are responsible for change and/or effective business processes. Contents Introduction - the current environment; practical opportunities to expand the concepts; the way forward? Intellectual capital - definitions in context; capital relationships; introduction to the business process Human capital - the organisational perspective; relationship with corporate learning and development; tacit knowledge and the individual; contributions and collaboration; knowledge transfer Systems capital - information and communication; tools and enablers Examining the process (1) - the process jigsaw; inputs, outputs and by-products Examining the process (II) - creation of knowledge; influencing factors Managing expectations - adaptability and flexibility; environmental assessment; customer components; acceptable standards Maximising potential -focus of developments; effect of peripheral business activities; mapping potential contributions to a business process; prioritising development And the future? - the information and knowledge management vision; next steps

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Footnote

Rez. in: Library review 45(1996) no.8, S.45-46 (R. MacMeod); Managing information 3(1996) no.4, S.44-45( M. Browne)

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Content

=3rd ed. von: Sources of information in librarianship and information science

Footnote

Rez. in: Program 28(1994) no.4, S.450; Inform 1994, no.167, S.9 (A. McNab)

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Footnote

Rez. in: Managing information 4(1997) no.10, S.43 (S. Morgan)

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Footnote

Rez. in: Journal of academic librarianship. 20(1994) no.1, S.46 (F.J. Goldie)

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Footnote

Rez. in: Managing information 4(1997) no.6, S.46-47 (C. Smith)

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Footnote

Rez. in: JASIS 51(2000) no.11, S. 1061-1062 (P.F. Katopol)

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Footnote

Rez. in: JASIST 52(2001) no.12, S.1084-1085 (C.J. Barr)

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