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  • × theme_ss:"Information Resources Management"
  1. Hatakama, H.; Terano, T.: ¬A multi-agent model of organizational intellectual activities for knowledge management (1996) 0.10
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    Abstract
    In this paper, authors propose a computational model of cooperative intellectual activities in an organization using the concepts of distributed artificial intelligence. In this model, we assume incomplete communication of knowledge among agents, and examine methods for pragmatic cooperative decision making and learning. We have implemented two typical variations of the model, the Specialists-Model and the Generalists-Model. Using the two variations, we carry out the simulation of dynamic activities of decision making and learning. Then, based an the model and these simulations, we systematically examine methods of knowledge management for effective augmentation of organizational intelligence.
    Source
    Knowledge management: organization competence and methodolgy. Proceedings of the Fourth International ISMICK Symposium, 21-22 October 1996, Netherlands. Ed.: J.F. Schreinemakers
  2. Mena, L.G.M.: ¬La informacion y la inteligencia empresarial : elementos basicos para el exito (1997) 0.05
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    Abstract
    The increasing emphasis on the importance of corporate intelligence in promoting competitiveness has generated demand for a new interdisciplinary service based on providing data and information geared to the needs of decision makers. The mission of corporate intelligence is to create products such as verbal and audiovisual presentations, bulletins / newsletters, and summary reports, relevant to the immediate specific needs of the organisation. This new service transforms isolated data into high value added information products, opening up new opportunities for interdisciplinary specialists in business information units
    Footnote
    Übers. d. Titels: Information and business intelligence: basic elements for success
  3. Accart, J.-P.: Business Intelligence : Geschäftsüberwachung: eine neue Herausforderung für Bibliothekare? (2001) 0.04
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    Abstract
    Die Informationsbeobachtung ist ein Vorgang, der aus Netzwerken von Einzelpersonen und Technologien besteht. Eine 'Beobachtungskultur' sollte ein fester Bestandteil im Leben eines Betriebes sein. In den USA ist dieses Konzept als 'Business Intelligence' bekannt. Der Schwerpunkt der Beobachtung betrifft Information in allen Formen
  4. Balcombe, J.: Developing a strategic approach : the role of the information professional (1994) 0.04
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    Abstract
    Discusses the role of the information professionals in the strategic planning process. The role includes: proactivity gathering information on forecasting, markets and competitve intelligence, management and human resources; devising the information department's own business plan; and information resources management which will enhance the contributuion of the information professional to strategic planning
  5. Knowledge management und Business Intelligence : Vol.1: Knowledge matters - Vol.2: Knowledge directions (2002) 0.04
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    Abstract
    Wettbewerbsvorteile werden in Zukunft nur noch die Unternehmen erlangen, denen es gelingt, Informationen in Wissen zu verwandeln. Die zwei Welten Business Intelligence und Knowledge Management wachsen vor diesem Hintergrund zusammen. Der Herausgeber, Leiter des Instituts für Managementinformationssysteme und des Instituts für Knowledge Management, zeigt in diesem Buch die zunehmende Integration der beiden Bereiche. Das Buch bringt damit Transparenz in einen der größten IT-Wachstumsmärkte. Mehrere Studien, etwa des Fraunhofer Instituts, beleuchten den relevanten Markt und geben wichtige Orientierungshilfen. Anhand einer Vielzahl von Beispielen wird gezeigt, welchen Nutzen der Einsatz hockentwickelter Analysewerkzeuge und die Entwicklung von Lösungen für das Wissensmanagement heute bereits erbringen. Ebenfalls sehr hilfreich für Praktiker ist die umfangreiche Anbieterliste. Einen raschen Überblick über die wichtigsten KM- und BI-Begriffe bietet ferner das integrierte Glossar.
  6. Kerr, M.: Using the Internet for business information : practical tips and hints (2004) 0.04
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    Content
    Key Features - More than just a list of web sites: is a practical guide to techniques and good practice in effective business information searching; each resource listed identifies, describes and evaluates - i.e. not just a listing but a summary of key features, including limitations - Checklists and toolkits for key processes in business information (current awareness, market research, competitor intelligence, market report creation, company analysis) - Incorporates training outlines/exercises to facilitate librarians who assist end users in the basics of business information searching, including tasks, examples and exercises - Complementary web site provides live links, online information tools and training exercises Contents Business information and the internet - the evergrowing need for information; origins, comparisons, flaws; distinguishing between official, unofficial and 'grey' information (primary, secondary etc); evaluating online information and its sources; information skills analysis (filling the gap); costs (assessing, justifying, avoiding): Effective use of serious search engines - beyond simple search; understanding the Invisible Web; finding what you can't see; deep-drilling for business information: Business information professional's reference desk - essential tools assessed and evaluated; portals and gateways; how to create a company/sector specific research tool; saving and sharing information: Company information - directories and databases of companies; financial reports and Annual reports; shares, analysis and comment; company web sites/ press releases; gentle espionage through media sources: Current awareness - current awareness tools and strategies; 'live' and archived business news sources; newsletters and informal sources of information: Market intelligence - trade associations and trade events; sector specific information; trade journals; using academic resources: Market research - methods and techniques; market research companies; market research services; patent searching; online tools for surveys and questionnaires: Competitor intelligence - what is competitor intelligence; understanding CI tools and techniques; sources of competitor intelligence: Country analysis - socioeconomic data; sources of national statistics; government agencies relating to business; journals and portals: Market Reports - Internet-specific data: dotcoms, ecommerce etc; publishers of market reports; creating the ideal market report: Tools and tips & training -checklists and exercises.
  7. Mußler, G.; Reiterer, H.; Mann, T.M.: INSYDER - Information Retrieval aspects of a business intelligence system (2000) 0.03
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    Abstract
    Dieser Beitrag beschäftigt sich mit INSYDER, einem visuell unterstützten Suchsystem im Umfeld der sogenannten Business Intelligence Systeme. Dabei liegt der Schwerpunkt dieses Beitrags in der Erläuterung der Information Retrieval- und Visualisierungsaspekte zur Unterstützung des Suchprozesses im WWW. Vorgestellt wird das Rankingverfahren, das Interaktive Relevance Feedback sowie die Beschreibung der Unterstützung des Benutzers bei der Formulierung der Suchanfrage mittels Visualisierung.
  8. Yeoh, W.; Popovic, A.: Extending the understanding of critical success factors for implementing business intelligence systems (2016) 0.03
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    Abstract
    Extant studies suggest implementing a business intelligence (BI) system is a costly, resource-intensive and complex undertaking. Literature draws attention to the critical success factors (CSFs) for implementation of BI systems. Leveraging case studies of seven large organizations and blending them with Yeoh and Koronios's (2010) BI CSFs framework, our empirical study gives evidence to support this notion of CSFs and provides better contextual understanding of the CSFs in BI implementation domain. Cross-case analysis suggests that organizational factors play the most crucial role in determining the success of a BI system implementation. Hence, BI stakeholders should prioritize on the organizational dimension ahead of other factors. Our findings allow BI stakeholders to holistically understand the CSFs and the associated contextual issues that impact on implementation of BI systems.
  9. Bauwens, M.: Knowledge transfer in cyberspace : a model for future business practices (1996) 0.03
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    Abstract
    Summarizes the different knowledge transfer practices that will dominate besiness and organizations in the next few years. Discusses cyberspace and the trend towards virtualization and sets out the differences between data, information, knowledge, intelligence, and wisdom. Describes the context of external cyberspace and the Internet, and dealing with a surplus of information. Discusses internal cyberspace and the use of forums, and addresses the question of the virtualization of paper based information centres
  10. ¬The Gale Group announces KnowledgeManager, ComputerSelect Web (1998) 0.03
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    Abstract
    The Gale Group (formerly Information Access company) have announced KnowledgeManager, an advanced WWW based workgroup research system that automates the day to day tasks of gathering competitive business intelligence from the Internet. The Gale Group is also integrating Aeneid Web components into its ComputerSelect product to provide industry specific Internet search capabilities. The new product, ComputerSelect Web (CSWeb), provides users with an easy and accurate way of collecting Web content in addition to the highly focused information provided by ComputerSelect
  11. Swartzberg, T.: Identifying and spreading expertise : The knowledge manager's brief: to disseminate a company's data and the know-how of its staff (1999) 0.03
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    Date
    29.11.1999 12:18:22
    Source
    International Herald Tribune. 15. Nov. 1999, S.22
  12. Allen, C.: Information challenges in the global marketplace (1994) 0.03
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    Abstract
    Globalization of the marketplace has presented challenges as well as opportunities for organizations in service, financial and manufacturing sectors. To be a player in the global market, organizations must have access to timely international information. Increasing cross-border competition demands competitive intelligence efforts that monitor financial and news sources for information on foreign as well as domestic competitors. To investigate opportunities for trading partners, strategic alliances, joint ventures and other investments in the developing markets in Latin America, Eastern Europe and the Pacific Rim, organizations need information concerning the volatile markets, economies and political situations
  13. Jarke, M.; Lenzerini, M.; Vassiliou, Y.: Fundamentals of data warehousing (1999) 0.03
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    Abstract
    Data warehousing has captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains as an art rather than a science. This book presents the first comparative review of the state of the art and best current practice in data warehousing. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European DWQ project, it offers a conceptual framework by which the architecture and quality of datawarehousing efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence
  14. Jarke, M.; Lenzerini, M.; Vassiliou, Y.; Vassiliadis, PO.: Fundamentals of data warehousing (2003) 0.03
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    Abstract
    Data warehousing has captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains as an art rather than a science. This book presents the first comparative review of the state of the art and best current practice in data warehousing. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European DWQ project, it offers a conceptual framework by which the architecture and quality of datawarehousing efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence
  15. Stock, W.G.: Informationsmangel trotz Überfluß : Informationsgesellschaft verlangt neue Berufe und Berufsbilder (1995) 0.03
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    Source
    Insider. 1995, Nr.4, Juli, S.19-22
  16. Business information in the Intranet age (1996) 0.03
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    Date
    22. 2.1997 19:42:34
  17. Web intelligence: research and development : First Asia-Pacific Conference, WI 2001, Maebashi City, Japan, Oct. 23-26, 2001, Proceedings (2003) 0.03
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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.
    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/)."
  18. Information systems outsourcing in theory and practice (1995) 0.02
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    Date
    22. 7.1996 10:51:56
  19. Mentzas, G.: ¬A functional taxonomy of computer-based information systems (1994) 0.02
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  20. Kmuche, W.: Strategischer Erfolgsfaktor Wissen : Content Management: der Weg zum erfolgreichen Informationsmanagement (2000) 0.02
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    Date
    19. 7.2002 22:05:14

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