Social media data are becoming increasingly critical for businesses to capture, analyse, and utilise in a timely manner. However, the unstructured and distributed nature and volume of this information makes the task of extracting useful and practical information challenging. Given the dynamic evolution of social media and social media monitoring, our current understanding of how social media monitoring can help organisations to create business value is inadequate. As a result, there is a need to study how organisations can (a) extract and analyse social media data related to their business (Sensing), and (b) utilise external intelligence gained from social media monitoring for specific business initiatives (Seizing). This study uses a qualitative approach with a multiple embedded case study design to understand the phenomenon of social media monitoring and its outcome for organisations. Anticipated contributions are presented.
History
Pagination
1 - 10
Location
Geelong, Victoria
Open access
Yes
Start date
2012-12-03
End date
2012-12-05
Language
eng
Notes
Reproduced with the kind permission of the copyright owner.
Publication classification
E1 Full written paper - refereed
Copyright notice
2012, The Authors/ACIS
Editor/Contributor(s)
J Lamp
Related work
DU:30049020
Title of proceedings
ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012