Study on main delivery actors in Technology Delivery System (TDS) based on multi-data sources

Ying Guo, Ganlu Sun, Ying Huang, Yun Fu, Y. Qian
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Abstract

As innovation becomes important and complex, researchers started to explore innovation process under the background of Big Data. Technology Delivery System (TDS), a systematic method dynamically showing innovation process, has caused the extensive concern worldwide. As an essential step to construct TDS better, this study aims to identify main delivery actors in TDS based on multi-data sources, then analyze the delivery relationships between actors and evaluate various actors' delivery capacity. We hope to improve current technology management and opportunity identification for complex innovations. Firstly, we divide TDS into four phases and apply different matched data sources to identify actors in corresponding phases. Secondly, we try to find technology relationships between actors. Finally, we conduct three indicators to calculate delivery capacity of main actors. With the development of intelligent manufacturing, we choose its new mode, Cloud Manufacturing in China, as a case to verify the feasibility of the approach.
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基于多数据源的技术交付系统(TDS)主要交付主体研究
随着创新的重要性和复杂性,研究者开始探索大数据背景下的创新过程。技术交付系统(TDS)作为一种动态显示创新过程的系统方法,在世界范围内引起了广泛关注。本研究旨在基于多数据源识别TDS中的主要交付行为体,分析行为体之间的交付关系,评估各行为体的交付能力,这是更好地构建TDS的重要步骤。我们希望改善当前的技术管理和复杂创新的机会识别。首先,我们将TDS划分为四个阶段,并应用不同的匹配数据源来识别相应阶段的参与者。其次,我们试图找到参与者之间的技术关系。最后,我们通过三个指标来计算主要行为体的交付能力。随着智能制造的发展,我们选择了它的新模式——中国云制造作为案例来验证该方法的可行性。
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