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This study predicted the bankruptcy risk of companies listed in Japanese stock markets for the entire industry and individual industries using multiple discriminant analysis (MDA), artificial neural network (ANN), and support vector machine (SVM) and compared the methods to determine the best one. The financial statements of the companies listed in the Tokyo Stock Exchange in Japan were used as data. The data of 244 companies that went bankrupt between 1991 and 2015 were used. Additionally, the data of 64,708 companies that did not go bankrupt between 1991 and 2015 (24 years) were used. The data was acquired from the Nikkei NEEDS database. It was found from the results of empirical analysis that the SVM is more accurate than the other models in predicting the bankruptcy risk of companies. In the ANN analysis and MDA, bankruptcy prediction could be made accurately only for some individual industries. In contrast, the SVM could predict the bankruptcy risk of companies almost perfectly for either entire and individual industries. This bankruptcy prediction model can help customers, investors, and financiers prevent losses by focusing on the financial indicators before finalizing transactions.

Sustainable Development Goals (SDGs) advertising is still not widespread due to uncertainty about its profitability for business, though awareness of the SDGs has been remarkably raised among corporations and consumers recently. Therefore, the main purpose of this study is to analyze the influence of general SDGs advertising on consumers’ ethical consumption intentions. This study proposes an integrative ethical consumption model in which new determinants related to rational consumption and SDGs advertising are included. The proposed ethical consumption model was validated by analyzing responses from 350 consumers in Japan using structural equation modeling (SEM), and the results demonstrate that ethical consumption intentions are constructed by attitudes toward ethical consumption, together with subjective norms and feasibility assessments. Moreover, this study found that, as a consumer views SDGs advertisements more frequently, they show greater ethical interest, which further increases their ethical consumption intentions. However, no significant evidence reveals that it can also improve the level of knowledge of the SDGs. The findings of this study contribute to the theoretical understanding of ethical consumption from the corporation aspect, providing quantitative evidence for corporations to better allocate resources toward profitable SDGs advertising that aligns with customer behavior.