ABSTRACT

Under the background of economic globalisation, to promote the sustainable development of enterprises, sustainable innovation performance is explored for enterprises from the perspective of knowledge acquisition. Here, high-tech industry practitioners in Jiangsu Province are recruited for research of knowledge acquisition and continuous innovation using a QS (Questionnaire Survey). A total of 360 QSs are issued, and the QS items are developed based on a comprehensive collation of domestic and foreign literature and are mostly quoted from existing data. Consequently, a talent mining method is proposed for technological innovation based on the machine learning multi-layer perceptron model. The results show that there is a significant correlation between complementary knowledge and knowledge acquisition. Knowledge acquisition is significantly related to continuous innovation. Complementary knowledge is significantly related to continuous innovation. The high-tech industry has realised that knowledge will become the key to the success of the high-tech industry in the future.

摘要

在经济全球化背景下，为促进企业的可持续发展，从知识获取的角度探索企业的可持续创新绩效。在这里，通过QS（问卷调查）招募江苏省高新技术产业从业者进行知识获取和持续创新研究。共发布 360 份 QS，QS 项目是在综合整理国内外文献的基础上制定的，大部分引用了现有数据。因此，提出了一种基于机器学习多层感知器模型的技术创新人才挖掘方法。结果表明，知识互补与知识获取之间存在显着相关性。知识获取与持续创新显着相关。补充知识与持续创新显着相关。高科技产业已经意识到，知识将成为未来高科技产业成功的关键。