IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v50y2020icp575-585.html
   My bibliography  Save this article

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

Author

Listed:
  • Lin, Runhui
  • Xie, Zaiyang
  • Hao, Yunhong
  • Wang, Jie

Abstract

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.

Suggested Citation

  • Lin, Runhui & Xie, Zaiyang & Hao, Yunhong & Wang, Jie, 2020. "Improving high-tech enterprise innovation in big data environment: A combinative view of internal and external governance," International Journal of Information Management, Elsevier, vol. 50(C), pages 575-585.
    • Handle: RePEc:eee:ininma:v:50:y:2020:i:c:p:575-585
    DOI: 10.1016/j.ijinfomgt.2018.11.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401218309423
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2018.11.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhong, Meirui & Huang, Gangli & He, Ruifang, 2022. "The technological innovation efficiency of China's lithium-ion battery listed enterprises: Evidence from a three-stage DEA model and micro-data," Energy, Elsevier, vol. 246(C).
    2. Shivam Gupta & Théo Justy & Shampy Kamboj & Ajay Kumar & Eivind Kristoffersen, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Post-Print hal-03609916, HAL.
    3. Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
    4. Rui Li & Jing Rao & Liangyong Wan, 2022. "The digital economy, enterprise digital transformation, and enterprise innovation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2875-2886, October.
    5. Gao(高凯), Kai & Wang(王玲), Ling & Liu(刘婷婷), Tingting & Zhao(赵华擎), Huaqing, 2022. "Management executive power and corporate green innovation——Empirical evidence from China's state-owned manufacturing sector," Technology in Society, Elsevier, vol. 70(C).
    6. Jinlin Li & Litai Chen & Ying Chen & Jiawen He, 2022. "Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 616-629, April.
    7. Fu-Hsiang Chen & Ming-Fu Hsu & Kuang-Hua Hu, 2022. "Enterprise’s internal control for knowledge discovery in a big data environment by an integrated hybrid model," Information Technology and Management, Springer, vol. 23(3), pages 213-231, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:50:y:2020:i:c:p:575-585. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.