• DocumentCode
    2352396
  • Title

    Server Hunt: Using Enterprise Social Networks for Knowledge Discovery in IT Inventory Management

  • Author

    Ypodimatopoulos, Polychronis ; Vukovic, Maja ; Laredo, Jim ; Rajagopal, Sriram

  • Author_Institution
    MIT Media Lab., Cambridge, MA, USA
  • fYear
    2011
  • fDate
    March 29 2011-April 2 2011
  • Firstpage
    418
  • Lastpage
    425
  • Abstract
    Locating IT Inventory Management information is a challenging task, as the knowledge gets transferred among employees that move within or leave the context of a large organization. Information that relates to IT inventory is hidden in the knowledge of individual team members. This fact is not reflected in organizational expertise repositories and therefore locating those employees becomes a cumbersome manual process, if not intractable. We present an expert discovery service that leverages the professional social network of an employee, who was the last known person to hold the desired inventory information (such as application and server configuration settings, passwords, etc.) but is no longer available. Evaluation results suggest that this method reconstructs the desired information more than 80% of the time, as per our experiment involving 50 cases. We demonstrate how a carefully designed crowdsourcing approach can effectively extract the desired information from the employee´s professional social network and discuss its limitations.
  • Keywords
    enterprise resource planning; information technology; inventory management; social networking (online); IT inventory management; application configuration settings; cumbersome manual process; enterprise social networks; expert discovery service; individual team members; knowledge discovery; organizational expertise repositories; professional social network; server configuration settings; server hunt; Collaboration; Electronic mail; Knowledge engineering; Organizations; Servers; Social network services; crowdsourcing; expert locators; expertise finding; recommender systems; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SRII Global Conference (SRII), 2011 Annual
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-61284-415-2
  • Electronic_ISBN
    978-0-7695-4371-0
  • Type

    conf

  • DOI
    10.1109/SRII.2011.94
  • Filename
    5958116