4.7 Article

Improving high-tech enterprise innovation in big data environment: A combinative view of internal and external governance

期刊

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ijinfomgt.2018.11.009

关键词

Big data environment; High-tech enterprises; Innovation performance; Managerial power; Network centrality

资金

  1. National Natural Science Foundation of China [71772096, 71732005]
  2. Ministry of Education, Humanities and Social Sciences project, China [18YJC630233]
  3. Zhejiang Social Science Fund, China [15JDZS01Z]
  4. Zhejiang Natural Science Foundation [Y16G020007]

向作者/读者索取更多资源

The emergence of big data brings both opportunities and challenges to high-tech enterprises. How to keep competitive advantages and improve innovation performance is important for enterprises in big data environment. Except from organizational learning ability and the use of advanced technology, the corporate governance also plays an important role in the process of enterprise's innovation practice. This article creatively combines with the insights of internal and external governance, and explores how the managerial power and network centrality affects enterprise's innovation performance in big data environment. Considering about the differences among distinct regional big data environment (strong/weak), this paper also takes classification research on it. The research findings show that managerial power has a significant positive impact on innovation performance, managerial power could enhance enterprise's centrality in network, and the enterprise which located in network central position has more advantages in obtaining resources and significantly improves firm's innovation performance. Network centrality plays a mediating role on managerial power and innovation performance. Further research finds that the positive effects of managerial power and network centrality are more significantly in the strong big data environment. These findings enrich the research of high-tech enterprise innovation from a combinative governance view, and contribute to the literatures on enterprise innovation in big data environment.

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