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Research on the Relationship Between Entrepreneurship Learning and Entrepreneurship Ability Based on Social Network

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Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 849))

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Abstract

The entrepreneurship ability determines whether the entrepreneurship will be successful, the entrepreneurial learning (Project Support: Philosophy and Social Sciences Project of Heilongjiang Province (17JYC146), Heilongjiang Province Postdoctoral Fund (LBH-Z15114).) is the key element to enhance the entrepreneurial capacity, while the social network provides a lot of knowledge resources to enhance the entrepreneurial capacity, but few researches explore the action mechanism between the social network, entrepreneurial learning and entrepreneurial capacity from the entrepreneurial point of view. Based on the social network. This paper establishes the theoretical relationship model between the three aspects, and uses the structural equation analysis method to validate the theoretical hypothesis. The empirical results show that the entrepreneur can make the social network as an important platform for entrepreneurial learning, both the formal network and the informal network have a significant positive impact on the implementation of entrepreneurial learning. The entrepreneurial learning mode under the social network can be divided into three types: imitation learning, exchange learning and guidance learning, which will play a positive role in promoting the entrepreneurial capacity; entrepreneurs can choose the right way to learn entrepreneurship, and effectively enhance the entrepreneurial capacity.

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Acknowledgment

The authors gratefully acknowledge the contributions of the Heilongjiang Province Postdoctoral Fund (LBH-Z15114).

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Correspondence to Yingying Ding .

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Hao, G., Sun, Q., Ding, Y. (2018). Research on the Relationship Between Entrepreneurship Learning and Entrepreneurship Ability Based on Social Network. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_73

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  • DOI: https://doi.org/10.1007/978-981-13-0896-3_73

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  • Online ISBN: 978-981-13-0896-3

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