Towards the integration of social media with traditional information systems

Michael Rees*, Peta Hopkins

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

6 Citations (Scopus)

Abstract

This paper was inspired by the authors' personal experience of using social media systems over the last two years. During that time both authors have used a range of public, private and hosted social media systems for their professional activities and well as for personal use. They and other colleagues are convinced that a unified approach to social media systems can benefit the communications processes within their institution and its interaction with their important existing and potential clients, the students and alumni. After discussing the existing ad hoc use of social media the authors propose an action plan to achieve a cohesive approach to the more effective exploitation of social media.

Original languageEnglish
Title of host publicationComputer-Mediated Social Networking - First International Conference, ICCMSN 2008, Revised Selected Papers
Pages119-133
Number of pages15
Volume5322 LNAI
DOIs
Publication statusPublished - 2009
Event1st International Conference on Computer-Mediated Social Networking, ICCMSN 2008 - Dunedin, New Zealand
Duration: 11 Jun 200813 Jun 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5322 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference1st International Conference on Computer-Mediated Social Networking, ICCMSN 2008
CountryNew Zealand
CityDunedin
Period11/06/0813/06/08

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Rees, M., & Hopkins, P. (2009). Towards the integration of social media with traditional information systems. In Computer-Mediated Social Networking - First International Conference, ICCMSN 2008, Revised Selected Papers (Vol. 5322 LNAI, pp. 119-133). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5322 LNAI). https://doi.org/10.1007/978-3-642-02276-0_13