Research on Risk Assessment of Enterprise Public Opinion in Cross Social Media Context and Sustainable Development Strategies
Yan Shen (),
Shuo Bian,
Xinping Song and
Xia Geng
Additional contact information
Yan Shen: School of Management, Jiangsu University, Zhenjiang 212013, China
Shuo Bian: School of Management, Jiangsu University, Zhenjiang 212013, China
Xinping Song: School of Management, Jiangsu University, Zhenjiang 212013, China
Xia Geng: School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China
Sustainability, 2024, vol. 16, issue 4, 1-23
Abstract:
The integrated development of social media makes enterprise public opinion spread across multiple social platforms. The safety of enterprise public opinion affects the sustainability of enterprise development and social stability. The risk assessment of enterprise public opinion in a cross social media context and sustainable strategies is researched to help enterprises and governments better regulate enterprise public opinion and improve their ability to respond to public opinion. We established an enterprise public opinion risk assessment index system in a cross social media context, and an enterprise public opinion risk assessment model was established by using a combination of the entropy method, TOPSIS, grey relational analysis and Fuzzy C-means method. The research results show that, compared with the context of single social media, the analysis of enterprise public opinion in a cross social media context is more comprehensive and accurate. The risk assessment model of enterprise public opinion proposed in our research is more suitable for the judgment of enterprise public opinion in a cross social media context and can comprehensively and accurately grasp the situation of enterprise public opinion. The management significance of public opinion risk management for the sustainable development of enterprises is also discussed.
Keywords: big data; cross social media; enterprise public opinion; risk assessment; sustainable strategy; TOPSIS; grey relational analysis; fuzzy C-means (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/16/4/1700/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/4/1700/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:4:p:1700-:d:1341588
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().