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| Ecosystem Construction of Firm Cross-Border Knowledge Networks in Big Data-Driven Context |
| Li Wenbo1,Xu Xiuling2 |
| (1.College of Economics and Management, Zhejiang Normal University;2.College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China) |
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Abstract The study of cross-border knowledge networks in big data-driven context has attracted more and more attention from scholars in various fields, among which the construction of ecosystems is one of the fundamental issues. Based on the multi-case study of Hangzhou Internet enterprises, this paper systematically refines the problem of ecosystem construction of firm cross-border knowledge network in big-data-driven context by text mining. The storyline of text mining is refined as "drive- construction-leapfrogging", and the corresponding two kinds of relationship paths are "big data-driven context→ecosystem construction" and "ecosystem construction→cross-border knowledge network". Accordingly, the theory model of four main categories of reciprocal symbiosis, open cooperation, ecological network and value governance is obtained. The research enriches the theory of cross-border knowledge network and has guiding value for the construction of enterprise ecosystem.
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Received: 21 January 2019
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