{"title":"基于创业心理资本和工作价值的大学生创业意向评价与预测——基于BP神经网络方法","authors":"Yinghong Sun, Peng Wu, Jin Zhou, Dong Wang","doi":"10.1109/SPAC46244.2018.8965499","DOIUrl":null,"url":null,"abstract":"A questionnaire survey was conducted to investigate the influence of 644 university students’ entrepreneurial psychological capital (Optimistic hope, Dare to Specific, Positive growth) and work values (Easy and Comfort, Ability, Independence) on their Entrepreneurial Intention. According to the questionnaire structure, the relationship between 6 independent factors and Entrepreneurial Intention was analyzed, and a prediction model of entrepreneurial intention was constructed by using BP neural network. Compared with the multivariate linear statistical model, the prediction accuracy of BP neural network is higher than that of the linear statistical model.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation and Prediction of Entrepreneurial Intention Based on Entrepreneurial Psychological Capital and Work Value of University Students: Using BP Neural Network Method\",\"authors\":\"Yinghong Sun, Peng Wu, Jin Zhou, Dong Wang\",\"doi\":\"10.1109/SPAC46244.2018.8965499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A questionnaire survey was conducted to investigate the influence of 644 university students’ entrepreneurial psychological capital (Optimistic hope, Dare to Specific, Positive growth) and work values (Easy and Comfort, Ability, Independence) on their Entrepreneurial Intention. According to the questionnaire structure, the relationship between 6 independent factors and Entrepreneurial Intention was analyzed, and a prediction model of entrepreneurial intention was constructed by using BP neural network. Compared with the multivariate linear statistical model, the prediction accuracy of BP neural network is higher than that of the linear statistical model.\",\"PeriodicalId\":360369,\"journal\":{\"name\":\"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAC46244.2018.8965499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAC46244.2018.8965499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation and Prediction of Entrepreneurial Intention Based on Entrepreneurial Psychological Capital and Work Value of University Students: Using BP Neural Network Method
A questionnaire survey was conducted to investigate the influence of 644 university students’ entrepreneurial psychological capital (Optimistic hope, Dare to Specific, Positive growth) and work values (Easy and Comfort, Ability, Independence) on their Entrepreneurial Intention. According to the questionnaire structure, the relationship between 6 independent factors and Entrepreneurial Intention was analyzed, and a prediction model of entrepreneurial intention was constructed by using BP neural network. Compared with the multivariate linear statistical model, the prediction accuracy of BP neural network is higher than that of the linear statistical model.