Building an Environmental Sustainability Dictionary for the IT Industry Deng, Qi Hine, Mike Ji, Shaobo Sur, Sujit 2016-12-29T00:26:12Z 2016-12-29T00:26:12Z 2017-01-04
dc.description.abstract Content analysis is a commonly utilized methodology in corporate sustainability research. However, because most corporate sustainability research using content analysis is based on human coding, the research capability and the scope of the research design has limitations. The relatively recent text mining technique addresses some of the limitations of manual content analysis but its usage is often dependent upon the development of a domain specific dictionary. This paper develops an environmental sustainability dictionary in the context of corporate sustainability reports for the IT industry. In support of building said dictionary, we develop a standardized dictionary building process model that can be applied across many domains.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.112
dc.identifier.isbn 978-0-9981331-0-2
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject CSR
dc.subject dictionary building
dc.subject text mining
dc.title Building an Environmental Sustainability Dictionary for the IT Industry
dc.type Conference Paper
dc.type.dcmi Text
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