A novel risk-based approach for online community management
A novel risk-based approach for online community management
Online communities play a pivotal role in innovation, marketing, corporate expertise management, product support and advertising. Communities in the order of millions of users are becoming the norm. However, this proliferation of demand is not met with intelligent, scalable, easy to use community management approaches. Current methods are based on basic statistical tools that aggregate data for the community owner/moderator to interpret and take appropriate actions. The data reflects only the current state of the community, which does not constitute an effective warning system of future events. Moreover, the community health becomes highly dependent on the owner’s skill, interpretation, intimate knowledge of the community and its evolution path. This paper presents a proactive, extensible, risk-based management framework supporting advanced analytical services for managing online communities. The solution allows community owners to focus on the community objectives and proactively manage favourable/unfavourable events at the user and community level.
risk management, online communities, risks
and opportunities, modelling, simulation, prediction
978-1-61208-280-6
25-30
Nasser, Bassem
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Engen, Vegard
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Crowle, Simon
2d373553-1b1c-4d68-9e62-680bdcd9e20d
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f
23 June 2013
Nasser, Bassem
d601c873-8295-44e3-a4e1-d363a26ee086
Engen, Vegard
5ab4f73a-6cb5-4a58-9d89-ebced3182962
Crowle, Simon
2d373553-1b1c-4d68-9e62-680bdcd9e20d
Walland, Paul
ee411ac1-9ebc-4513-a691-a3b95b599d7f
Nasser, Bassem, Engen, Vegard, Crowle, Simon and Walland, Paul
(2013)
A novel risk-based approach for online community management.
ICIW 2013, The Eighth International Conference on Internet and Web Applications and Services.
23 - 28 Jun 2013.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Online communities play a pivotal role in innovation, marketing, corporate expertise management, product support and advertising. Communities in the order of millions of users are becoming the norm. However, this proliferation of demand is not met with intelligent, scalable, easy to use community management approaches. Current methods are based on basic statistical tools that aggregate data for the community owner/moderator to interpret and take appropriate actions. The data reflects only the current state of the community, which does not constitute an effective warning system of future events. Moreover, the community health becomes highly dependent on the owner’s skill, interpretation, intimate knowledge of the community and its evolution path. This paper presents a proactive, extensible, risk-based management framework supporting advanced analytical services for managing online communities. The solution allows community owners to focus on the community objectives and proactively manage favourable/unfavourable events at the user and community level.
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Published date: 23 June 2013
Venue - Dates:
ICIW 2013, The Eighth International Conference on Internet and Web Applications and Services, 2013-06-23 - 2013-06-28
Keywords:
risk management, online communities, risks
and opportunities, modelling, simulation, prediction
Organisations:
IT Innovation
Identifiers
Local EPrints ID: 354147
URI: http://eprints.soton.ac.uk/id/eprint/354147
ISBN: 978-1-61208-280-6
PURE UUID: 0e74e472-97e3-490f-b0e3-d7a67a66549d
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Date deposited: 10 Jul 2013 14:01
Last modified: 14 Mar 2024 14:14
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Contributors
Author:
Bassem Nasser
Author:
Vegard Engen
Author:
Simon Crowle
Author:
Paul Walland
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