Categorizing the Business Risks of Social Media

Williams, SP; Hausman, V

Categorizing the Business Risks of Social Media

Williams, SP

Hausman, V

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Publication Type:: Journal Article
Citation:: Procedia Computer Science, 2017, 121 pp. 266 - 273
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Williams, SP https://orcid.org/0000-0003-0173-0286	en_US
dc.contributor.author	Hausman, V	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Procedia Computer Science, 2017, 121 pp. 266 - 273	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126702
dc.description.abstract	© 2017 The Authors. Published by Elsevier B.V. This paper examines the risks arising from the business use of social media and develops a framework for describing and categorizing social media business risks. Using descriptive and axial coding methods an analysis of the academic and professional literatures on social media identified thirty risk types that were grouped into five risk categories. The coding and analysis process revealed further dimensions and issues for social media risk management, including the need to consider the evolutionary nature of risk classification, the existence of risk chains and interdependencies between risks. These are discussed in the context of future work on risk assessment and risk governance.	en_US
dc.relation.ispartof	Procedia Computer Science	en_US
dc.relation.isbasedon	10.1016/j.procs.2017.11.037	en_US
dc.title	Categorizing the Business Risks of Social Media	en_US
dc.type	Journal Article
utslib.citation.volume	121	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	10 Technology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	121	en_US

Abstract:

© 2017 The Authors. Published by Elsevier B.V. This paper examines the risks arising from the business use of social media and develops a framework for describing and categorizing social media business risks. Using descriptive and axial coding methods an analysis of the academic and professional literatures on social media identified thirty risk types that were grouped into five risk categories. The coding and analysis process revealed further dimensions and issues for social media risk management, including the need to consider the evolutionary nature of risk classification, the existence of risk chains and interdependencies between risks. These are discussed in the context of future work on risk assessment and risk governance.

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http://hdl.handle.net/10453/126702