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Article

Sustainable Supply Chain Based on News Articles and Sustainability Reports: Text Mining with Leximancer and DICTION

by 1 and 2,*
1
Graduate School of Innovation and Technology Management, Korea Advanced Institute of Science and Technology (KAIST)
2
Department of IT convergence, Kumoh National Institute of Technology, Gumi 730-701, Gyungbuk, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Bin Shen, Qingying Li, Ciwei Dong and Patsy Perry
Sustainability 2017, 9(6), 1008; https://doi.org/10.3390/su9061008
Received: 15 April 2017 / Revised: 4 June 2017 / Accepted: 5 June 2017 / Published: 10 June 2017
(This article belongs to the Special Issue Sustainability Issues in the Textile and Apparel Supply Chains)
The purpose of this research is to explore sustainable supply chain management (SSCM) trends, and firms’ strategic positioning and execution with regard to sustainability in the textile and apparel industry based on news articles and sustainability reports. Further analysis of the rhetoric in Chief executive officer (CEO) letters within sustainability reports is used to determine firms’ resoluteness, positive entailments, sharing of values, perception of reality, and sustainability strategy and execution feasibility. Computer-based content analysis is used for this research: Leximancer is applied for text analysis, while dictionary-based text mining program DICTION and SPSS are used for rhetorical analysis. Overall, contents similar to the literature on environmental, social, and economic aspects of the triple bottom line (TBL) are observed, however, topics such as regulation, green incentives, and international standards are not readily observed. Furthmore, ethical issues, sustainable production, quality, and customer roles are emphasized in texts analyzed. The CEO letter analysis indicates that listed firms show relatively low realism and high commonality, while North American firms exhibit relatively high commonality, and Europe firms show relatively high realism. The results will serve as a baseline for providing academia guidelines in SSCM research, and provide an opportunity for businesses to complement their sustainability strategies and executions. View Full-Text
Keywords: sustainability; supply chain management (SCM); triple bottom line; news articles; sustainability report; text mining; leximancer; DICTION; MANCOVA; ANCOVA sustainability; supply chain management (SCM); triple bottom line; news articles; sustainability report; text mining; leximancer; DICTION; MANCOVA; ANCOVA
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MDPI and ACS Style

Kim, D.; Kim, S. Sustainable Supply Chain Based on News Articles and Sustainability Reports: Text Mining with Leximancer and DICTION. Sustainability 2017, 9, 1008. https://doi.org/10.3390/su9061008

AMA Style

Kim D, Kim S. Sustainable Supply Chain Based on News Articles and Sustainability Reports: Text Mining with Leximancer and DICTION. Sustainability. 2017; 9(6):1008. https://doi.org/10.3390/su9061008

Chicago/Turabian Style

Kim, Dongwook, and Sungbum Kim. 2017. "Sustainable Supply Chain Based on News Articles and Sustainability Reports: Text Mining with Leximancer and DICTION" Sustainability 9, no. 6: 1008. https://doi.org/10.3390/su9061008

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