Author
Listed:
- Xu, Yuan
- Liu, Shifeng
- Cheng, T.C.E.
- Feng, Xue
- Wang, Jun
- Shang, Xiaopu
Abstract
Decision-making processes are significantly influenced by internal social network interactions and external information inputs. While previous research has highlighted the role of social networks in opinion evolution, the dynamics of information dissemination and its interaction with these networks are less understood. To bridge this gap, we introduce the Social-Information-Opinion Dynamic Supernetwork (SIO-DS) model, which integrates critical factors such as the impact of external information and opinion propagation, alongside the influence of internal social network structures and individual willingness to adjust opinions. This model takes into account the varied levels of confidence and individualized dynamic influence among decision makers, recognizing both their asymmetry and diversity. It performs opinion dynamics using bounded confidence models and parameters that govern information dissemination. We found that scale-free networks, which feature influential leaders, are more effective at reaching consensus compared to small-world networks, which are hindered by limited inter-group connections. The speed of information dissemination is critical; moderate speeds help in maintaining a stable consensus by balancing social influence, while very fast or slow speeds risk exacerbating polarization based on how social influence is managed. The SIO-DS model has broad implications for enhancing decision-making in corporate management by optimizing network structures, in public policy by managing public opinion, and in crisis management by developing effective communication strategies. Ultimately, this model not only deepens our understanding of opinion dynamics but also provides practical tools for improving decision-making quality and efficiency in various contexts.
Suggested Citation
Xu, Yuan & Liu, Shifeng & Cheng, T.C.E. & Feng, Xue & Wang, Jun & Shang, Xiaopu, 2025.
"Opinion convergence and management: Opinion dynamics in interactive group decision-making,"
European Journal of Operational Research, Elsevier, vol. 323(3), pages 938-951.
Handle:
RePEc:eee:ejores:v:323:y:2025:i:3:p:938-951
DOI: 10.1016/j.ejor.2024.12.046
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:323:y:2025:i:3:p:938-951. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.