• DocumentCode
    572428
  • Title

    Acquiring business ecosystem´s intelligence through Large-Scale Collaborative Systems

  • Author

    Hancu, Lucian

  • Author_Institution
    SoftProEuro srl, Babes-Bolyai Univ., Cluj-Napoca, Romania
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    41
  • Lastpage
    46
  • Abstract
    The last years´ economic turmoil constitutes a real challenge for the small, medium and large entities from all over the world, whose yearly turnovers and profits are seriously affected by the collapse of the aggregated demand and rise of business risks. In this context, the finding of a long-term business partner becomes more difficult, as market conditions change rapidly, and so does the financial stability of the business entities. In this article, we discuss how valuable information can be extracted from the Business Invisible Web (BIW), the part of the collaborative Web (Web 2.0) used by business entities in order to make transactions and report them, by use of Large-Scale Collaborative Systems. The research literature has shown that valuable knowledge can be derived for predicting the dependencies between various business sectors from the economy. Such knowledge can be extracted from the Web and used in a variety of Business Intelligence tasks, such as choosing a new Merger or Acquisition partner (strategic decisions) or simply choosing between a variety of available suppliers (operational decisions).
  • Keywords
    Internet; competitive intelligence; groupware; merging; BIW; acquisition partner; business Intelligence tasks; business ecosystem intelligence; business entities; business invisible Web; business risks; collaborative Web; economic turmoil; financial stability; large-scale collaborative systems; merger partner; Business Ecosystem; Business Ecosystem´s Intelligence; Business Invisible Web; Cloud Computing; Collaborative Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces (ITI), Proceedings of the ITI 2012 34th International Conference on
  • Conference_Location
    Cavtat, Dubrovnik
  • ISSN
    1334-2762
  • Print_ISBN
    978-1-4673-1629-3
  • Type

    conf

  • DOI
    10.2498/iti.2012.0449
  • Filename
    6307977