DocumentCode
2140230
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
Media Lab., MIT, Cambridge, MA, USA
fYear
2010
fDate
5-10 July 2010
Firstpage
195
Lastpage
196
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. In this paper, we present an expert discovery service that leverages the professional social network of an employee, who was previously known to hold the desired inventory information 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 targeted information from the employee´s professional social network and discuss its limitations.
Keywords
data mining; inventory management; management information systems; organisational aspects; personnel; social networking (online); IT inventory management information; crowdsourcing approach; employee professional social network; enterprise social networks; expert discovery service; knowledge discovery; organizational expertise repository; server hunt; Collaboration; Electronic mail; Knowledge engineering; Organizations; Recommender systems; Social network services; USA Councils; crowdsourcing; expert locators; expertise finding; recommender systems; social networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Services (SERVICES-1), 2010 6th World Congress on
Conference_Location
Miami, FL
Print_ISBN
978-1-4244-8199-6
Electronic_ISBN
978-0-7695-4129-7
Type
conf
DOI
10.1109/SERVICES.2010.67
Filename
5575828
Link To Document