Abstract
The literature shows that companies have matured on how they see and understand CSR—even to the extent of seeing it as an essential element of the firm’s strategy. As part of a comprehensive research agenda, we investigate CSR reports from seven Dow Jones companies to assess the embeddedness of Environmental Sustainability considerations into their Core Business discourse. We leverage the use of supervised and unsupervised Text Data Mining (TDM) techniques to analyze data from these seven companies. To our knowledge, this is one of the first attempts to apply TDM processing to analyze unstructured data from CSR reports. The process we outline should facilitate pattern discovery in documents, minimizing or eliminating the need for time-consuming content analysis that is frequently used in qualitative research.
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Tremblay, M.C., Parra, C., Castellanos, A. (2015). Analyzing Corporate Social Responsibility Reports Using Unsupervised and Supervised Text Data Mining. In: Donnellan, B., Helfert, M., Kenneally, J., VanderMeer, D., Rothenberger, M., Winter, R. (eds) New Horizons in Design Science: Broadening the Research Agenda. DESRIST 2015. Lecture Notes in Computer Science(), vol 9073. Springer, Cham. https://doi.org/10.1007/978-3-319-18714-3_36
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DOI: https://doi.org/10.1007/978-3-319-18714-3_36
Publisher Name: Springer, Cham
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