Basic innovation,with universities as a key driver,is essential for advancing core technologies in the manufacturing industry.This study used a manufacturing technologies initiative as a natural experiment,combining f...Basic innovation,with universities as a key driver,is essential for advancing core technologies in the manufacturing industry.This study used a manufacturing technologies initiative as a natural experiment,combining funding and its outcomes data from the National Natural Science Foundation of China to construct a difference-in-differences model.It found that the Frontiers in Manufacturing Technologies Initiative had a positive effect on university innovation,particularly by increasing the number of university patents.Mechanism analysis showed that the policy mainly encouraged university innovation through university-industry collaboration.The effect was more salient in universities with stronger basic research capabilities and those whose research fields matched strategic emerging industries covered by the initiative.This study underscores the crucial role of the Frontiers in Manufacturing Technologies Initiative in enhancing university-led innovation.It highlights the effectiveness of industry-academia partnerships in advancing technology,particularly in emerging strategic industries.展开更多
Collaboration with universities as ＇knowledge factories＇ is increasingly perceived to be an effective and viable solution for firms to gain competitive advantage. One of the main challenges firms face in this area i...Collaboration with universities as ＇knowledge factories＇ is increasingly perceived to be an effective and viable solution for firms to gain competitive advantage. One of the main challenges firms face in this area is how to select the best university for collaboration. This selection undoubtedly affects some other strategic activities of firms, such as managing and governing the relationship with the selected university and, most importantly, firm performance. As such, the selection becomes an important strategic decision that deserves a great deal of attention. Thus far, no systematic attempt has been made to investigate this significant area of research. The main purpose of this study is to formulate a decision-making model for university selection. Reviewing existing literature of university-industry relationship yields a list of relevant criteria for this problem. The problem is then formulated as a multi-criteria decision-making （MCDM） model, and a fuzzy AHP is used to provide the solution. To illustrate the model, three Dutch universities are ranked based on the importance of the selected criteria.展开更多
基金support from the China Center for Special Economic Zone Research of Shenzhen University,Interdisciplinary Innovation Team Project for High-level University PhaseⅢConstruction of Shenzhen University(No.24JCXK02)the National Natural Science Foundation of China(No.72403167).
文摘Basic innovation,with universities as a key driver,is essential for advancing core technologies in the manufacturing industry.This study used a manufacturing technologies initiative as a natural experiment,combining funding and its outcomes data from the National Natural Science Foundation of China to construct a difference-in-differences model.It found that the Frontiers in Manufacturing Technologies Initiative had a positive effect on university innovation,particularly by increasing the number of university patents.Mechanism analysis showed that the policy mainly encouraged university innovation through university-industry collaboration.The effect was more salient in universities with stronger basic research capabilities and those whose research fields matched strategic emerging industries covered by the initiative.This study underscores the crucial role of the Frontiers in Manufacturing Technologies Initiative in enhancing university-led innovation.It highlights the effectiveness of industry-academia partnerships in advancing technology,particularly in emerging strategic industries.
文摘Collaboration with universities as ＇knowledge factories＇ is increasingly perceived to be an effective and viable solution for firms to gain competitive advantage. One of the main challenges firms face in this area is how to select the best university for collaboration. This selection undoubtedly affects some other strategic activities of firms, such as managing and governing the relationship with the selected university and, most importantly, firm performance. As such, the selection becomes an important strategic decision that deserves a great deal of attention. Thus far, no systematic attempt has been made to investigate this significant area of research. The main purpose of this study is to formulate a decision-making model for university selection. Reviewing existing literature of university-industry relationship yields a list of relevant criteria for this problem. The problem is then formulated as a multi-criteria decision-making （MCDM） model, and a fuzzy AHP is used to provide the solution. To illustrate the model, three Dutch universities are ranked based on the importance of the selected criteria.
