Text Analysis on Green Supply Chain Practices of Electronic Companies

Shilpa Balan, Sumali J. Conlon and Brian Reithel
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Shilpa Balan: California State University, Los Angeles, USA
Sumali J. Conlon: University of Mississippi, USA
Brian Reithel: University of Mississippi, USA

International Journal of Decision Support System Technology (IJDSST), 2024, vol. 16, issue 1, 1-16

Abstract: The electronics industry is one of the major regulated industries in the United States that is profoundly impacted by environmental issues. In this study, we use natural language processing (NLP) techniques to analyze reports from major electronics companies to examine the impact on their environmental performance in alignment with the standards set by the U.S. Environmental Protection Agency (EPA). We applied collocation, semantic analysis and frequent pattern mining to evaluate the documented practices of green supply chain management used by firms in the electronics industry. The results from our study indicate that NLP analysis can be used on publicly available reports to highlight some of the best practices followed in a regulated industry. The electronic firms included in this study are found to be focused on energy efficiency implying that the firms are likely to be more environmentally sustainable. NLP tools present opportunities for investigating and documenting regulatory compliance.

Date: 2024
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