| 企业创新行为：度量方法和影响因素研究评述 |
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| 引用本文： | 朱向琳,杨乃定,张明珍.企业创新行为：度量方法和影响因素研究评述[J].科研管理,2020,41(12):131-138. |
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| 作者姓名： | 朱向琳 杨乃定 张明珍 |
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| 作者单位： | 西北工业大学管理学院,陕西 西安710129 |
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| 摘 要： |
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| 关 键 词： | 企业创新行为 定义 类别 度量方法 影响因素 |
| 收稿时间： | 2020-01-15 |
| 修稿时间： | 2020-06-23 |
Innovation behavior of enterprises: A review of measurement methods and influencing factors |
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| Zhu Xianglin,Yang Naiding,Zhang Mingzhen.Innovation behavior of enterprises: A review of measurement methods and influencing factors[J].Science Research Management,2020,41(12):131-138. |
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| Authors: | Zhu Xianglin Yang Naiding Zhang Mingzhen |
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| Institution: | School of Management, Northwestern Polytechnical University, Xi′an 710129, Shaanxi, China |
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| Abstract: | Innovation is the primary driving force for development, the important support for enterprises to maintain market competitive advantage and even the major source of national competitiveness. Facts show that the industrial competitiveness of the world′s economic powers is mainly reflected in the strong innovative enterprises. This means that the future of China′s economy will largely depend on whether it has a batch of innovative enterprises with core competitiveness. Although many domestic enterprises have gradually realized the importance of innovation, the overall level of innovation is still not high. Therefore, the realization of enterprise innovation plays a vital role in China′s future development. Clarifying the basic concept and influencing factors of enterprise innovation behavior is the key to improve the ability of enterprise innovation. With the in-depth research on the field of enterprise innovation, scholars at home and abroad have a deeper profound understanding of innovation, which has yielded fruitful results and formed many schools. However, the existing research topics are diverse. And there is an urgent need to systematically sort out the relevant theories of enterprise innovation behavior, point out the deficiencies in the current research and look forward to new research ideas.
Firstly, this paper sorts out the definition and category of enterprise innovation behavior based on the study of 389 related literature. Secondly, the main measurement methods of enterprise innovation behavior are summarized, namely innovation input and innovation output. Thirdly, this article studies the main influencing factors of enterprise innovation behavior from the organizational level and the network level. Finally, the following potential research directions in the future are proposed based on the analysis of existing research limitations:
(1)We should clarify the definition of enterprise innovation behavior. The standardization of definition and classification is the cornerstones to study the internal mechanism of enterprise innovation behavior. On this basis, we should pay attention to the possibility of the parallelism of multiple enterprise innovation behaviors and the balance of their mutual relations, and guide healthy development of the theories related to enterprise innovation behaviors.
(2)We should expand the research perspective of enterprise innovation behavior and conduct reasonable cross-level research. At present, although there have been literatures concerning the study of multi-dimensional influencing factors, few scholars have paid attention to the interaction among these factors. In the future, we should try to analyze the relationship between factors at different levels and study the influence mechanism of enterprise innovation behavior at different levels.
(3)To help domestic enterprises achieve faster development in innovation practice, we should deepen the research on enterprise innovation behavior in the context of China starting from the actual situation, explore the influencing factors with Chinese characteristics, summarize the innovation characteristics of Chinese enterprises, and construct the theory of "Chinese-style innovation".
(4)We should make reasonable use of dynamic research, improve the accuracy of research results, and promote the relevant theories of enterprise innovation. Influencing factors often have a lagging effect on enterprise innovation. In the future, the collection and use of panel data should be strengthened to help understand the cumulative effect and internal mechanism of influencing factors on enterprise innovation behavior more clearly. |
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| Keywords: | enterprise innovation behavior definition classification measurement method influencing factor |
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