{"title":"东京证券交易所第一类上市制造业企业经营政策与盈利能力的关系(2016年结果)","authors":"Ryozo Kitajima, R. Kamimura, Hiroyuki Sakai","doi":"10.52731/iee.v7.i2.597","DOIUrl":null,"url":null,"abstract":"Management policies are important guidelines for companies; they describe the founding spirit, company motto, and other objectives. Therefore, we consider that management policy may affect a company’s profitability. This study examined management policies from manufacturing companies and extracted keywords that influence profitability. Management policies and profitability [measured by the return on assets (ROA)] data were collected from annual securities reports, because the report descriptions are accurate, and the reports are easy to obtain. The management policies were written in natural language, and the analysis data were complex; therefore, we used a neural computational method known as “potential learning,” which can interpret internal representations. To extract keywords that influence profitability, we designed a classification model of profitability with the management policy as input, and a model with an accuracy of 0.6115 was created. The results suggest that the management policies of highly profitable companies are diverse in using the word “improvement,” which may influence the ROA.","PeriodicalId":416504,"journal":{"name":"Information Engineering Express","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Relationship Between Management Policies and Profitability of Manufacturing Companies Listed in the First Section of the Tokyo Stock Exchange (2016 Results)\",\"authors\":\"Ryozo Kitajima, R. Kamimura, Hiroyuki Sakai\",\"doi\":\"10.52731/iee.v7.i2.597\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Management policies are important guidelines for companies; they describe the founding spirit, company motto, and other objectives. Therefore, we consider that management policy may affect a company’s profitability. This study examined management policies from manufacturing companies and extracted keywords that influence profitability. Management policies and profitability [measured by the return on assets (ROA)] data were collected from annual securities reports, because the report descriptions are accurate, and the reports are easy to obtain. The management policies were written in natural language, and the analysis data were complex; therefore, we used a neural computational method known as “potential learning,” which can interpret internal representations. To extract keywords that influence profitability, we designed a classification model of profitability with the management policy as input, and a model with an accuracy of 0.6115 was created. The results suggest that the management policies of highly profitable companies are diverse in using the word “improvement,” which may influence the ROA.\",\"PeriodicalId\":416504,\"journal\":{\"name\":\"Information Engineering Express\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Engineering Express\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52731/iee.v7.i2.597\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Engineering Express","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52731/iee.v7.i2.597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Relationship Between Management Policies and Profitability of Manufacturing Companies Listed in the First Section of the Tokyo Stock Exchange (2016 Results)
Management policies are important guidelines for companies; they describe the founding spirit, company motto, and other objectives. Therefore, we consider that management policy may affect a company’s profitability. This study examined management policies from manufacturing companies and extracted keywords that influence profitability. Management policies and profitability [measured by the return on assets (ROA)] data were collected from annual securities reports, because the report descriptions are accurate, and the reports are easy to obtain. The management policies were written in natural language, and the analysis data were complex; therefore, we used a neural computational method known as “potential learning,” which can interpret internal representations. To extract keywords that influence profitability, we designed a classification model of profitability with the management policy as input, and a model with an accuracy of 0.6115 was created. The results suggest that the management policies of highly profitable companies are diverse in using the word “improvement,” which may influence the ROA.