English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In recent years, accidents and product recalls caused by product defects have become major problems in numerous industries worldwide. However, most of existing research studying product recalls adopted empirical approaches. To improve product recall systems, we studied social simulation using a multi-agent system with co-evolution model. This research is important, because empirical approaches are no longer adequate for the complex and diverse modern society. Discussions using quantitative and predictive approaches, including agent-based simulation, are therefore expected. In this study, we propose a new model: Money Importance Factor, for considering consumers’ diverse monetary sense. We conducted a simulation experiment, and we discovered the possibility that consumers are willing to buy more expensive and higher-quality products for preventing product accidents, when the products have a large risk of accidents apparently from their attributes. In addition, we have also found that it is important to make an impression or a recognition of product recalls better through improving social systems. We believe this work can contribute to supporting not only government staffs for improving product recall systems, but also executive officers of product companies for deliberating their strategy of recall decisions.

Social Simulation for Analyzing Product Recall Systems Using Co-evolution Model Considering Consumers’ Diverse Monetary Sense