Crowdsourcing the IT Help Desk: A Cloud Approach to Mass Intelligence

Published:
Briefs, Case Studies, Papers, Reports
Author(s) and Contributors:
Author(s): Katie Rose Justin Sipher Melissa Woo
Source(s) and Collection(s):
Sources(s): EDUCAUSE Research Collection(s): Research Bulletins
ParentTopics:
Help Desk IT Support Services

Abstract

This ECAR research bulletin refines the concepts of crowdsourcing and mass intelligence and provides several notable examples of their vast potential when they are used together. As higher education faces the challenge of supporting increasingly broad-spectrum IT services for a progressively sophisticated user population while facing tighter institutional and IT budgets, the bulletin also offers a suggestion of a potential win-win for higher education: crowdsourcing the IT help desk.

Citation for this work: Latimer, Dewitt, Katie Rose, Justin Sipher, and Melissa Woo. “Crowdsourcing the IT Help Desk: A Cloud Approach to Mass Intelligence” (Research Bulletin, Issue 8). Boulder, CO: EDUCAUSE Center for Applied Research, 2009, available from http://www.educause.edu/ecar.

Download Resources