Evaluation and Prediction of Entrepreneurial Intention Based on Entrepreneurial Psychological Capital and Work Value of University Students: Using BP Neural Network Method

Yinghong Sun, Peng Wu, Jin Zhou, Dong Wang
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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.
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
通过问卷调查,探讨了644名大学生创业心理资本(乐观希望、敢于具体、积极成长)和工作价值观(安逸、能力、独立)对其创业意向的影响。根据问卷结构,分析6个独立因素与创业意向之间的关系,并利用BP神经网络构建创业意向预测模型。与多元线性统计模型相比,BP神经网络的预测精度高于线性统计模型。
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