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Creating a repeatable framework for campus communication

Published:15 October 2012Publication History

ABSTRACT

IT Services are provided to campuses in a variety of different environments. Failure to keep customers aware of the status of major enterprise level services can quickly generate a variety of problems: an overburdened help desk, longer hold times, erratic communication within IT, and customer dissatisfaction. In this paper we explore the approach the West Georgia took to develop a communication strategy to mitigate challenges by enhancing how IT positions itself to manage customer expectations through informed, constant, proactive updates using multiple channels. The result was a step-by-step, phased framework approach. By approaching the implementation in phases, the school worked in manageable steps with clearly defined objectives for each phase. Each step is solution-independent and can be implemented using the best-fit approach for any school. We believe this model holds great value, not only in its ability to improve customer relationships, but also in its ability to be adapted to fit any organization, based upon need.

References

  1. The University of West Georgia. http://www.westga.edu.Google ScholarGoogle Scholar
  2. Facebook. http://www.facebook.com.Google ScholarGoogle Scholar
  3. Twitter. http://www.twitter.com.Google ScholarGoogle Scholar
  4. Yammer. http://www.yammer.com.Google ScholarGoogle Scholar
  5. The University System of Georgia. http://www.usg.edu.Google ScholarGoogle Scholar

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  1. Creating a repeatable framework for campus communication

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        • Published in

          cover image ACM Conferences
          SIGUCCS '12: Proceedings of the 40th annual ACM SIGUCCS conference on User services
          October 2012
          262 pages
          ISBN:9781450314947
          DOI:10.1145/2382456

          Copyright © 2012 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 15 October 2012

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          Overall Acceptance Rate123of170submissions,72%
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