Science Journal of Business and Management

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Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises

Received: 28 September 2018    Accepted: 20 November 2018    Published: 20 December 2018
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Abstract

How to enhance enterprise’s innovation performance is an important problem which is well worth thinking when the knowledge-based economy is opening up increasingly today. Taking the knowledge-intensive service enterprises as the example, we have made empirical study on how the different dimensions of dynamic capabilities, namely, sensing capability, learning capability and reconfiguring capability, affect the innovation performance of both exploration and exploitation. This study constructs and verifies a model of multi-dimensional dynamic capabilities to innovation performance using exploratory factor analysis and regression analysis. Result shows that enhancing any of sensing capability and learning capability in dynamic capabilities helps improve enterprises’ exploratory and exploitative innovation performance. Sensing capability and learning capability affect exploratory innovation performance more than exploitative innovation performance. Reconfiguring capability plays a positively significant regulating role in the relationship between sensing capability and exploratory innovation performance. Therefore, when enhancing the innovation performance, a knowledge-intensive service enterprise should not only make efforts to cultivate the sensing capability for technology and market and learning capability for external knowledge, but also enhance reconfiguring capability for both of internal and external resources to form the foundation for future competiveness. This study contributes to previous research by showing how sensing capability and learning capability affect the various dimensions of innovation performance under the regulating effects of reconfiguring capability in dynamic capabilities.

DOI 10.11648/j.sjbm.20180604.11
Published in Science Journal of Business and Management (Volume 6, Issue 4, August 2018)
Page(s) 81-92
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Dynamic Capabilities, Innovation Performance, Knowledge-intensive Service Enterprises, Multi-dimensional Influence

References
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Author Information
  • School of Economics and Management, Shanghai Maritime University, Shanghai, China

  • School of Economics and Management, Tongji University, Shanghai, China

  • Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China

  • Department of Computer Science and Statistical Science, University of Toronto, Toronto, Canada

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  • APA Style

    Jin Xin, Chen Song, Xie Fuji, Lu Zexia. (2018). Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises. Science Journal of Business and Management, 6(4), 81-92. https://doi.org/10.11648/j.sjbm.20180604.11

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    ACS Style

    Jin Xin; Chen Song; Xie Fuji; Lu Zexia. Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises. Sci. J. Bus. Manag. 2018, 6(4), 81-92. doi: 10.11648/j.sjbm.20180604.11

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    AMA Style

    Jin Xin, Chen Song, Xie Fuji, Lu Zexia. Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises. Sci J Bus Manag. 2018;6(4):81-92. doi: 10.11648/j.sjbm.20180604.11

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  • @article{10.11648/j.sjbm.20180604.11,
      author = {Jin Xin and Chen Song and Xie Fuji and Lu Zexia},
      title = {Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises},
      journal = {Science Journal of Business and Management},
      volume = {6},
      number = {4},
      pages = {81-92},
      doi = {10.11648/j.sjbm.20180604.11},
      url = {https://doi.org/10.11648/j.sjbm.20180604.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sjbm.20180604.11},
      abstract = {How to enhance enterprise’s innovation performance is an important problem which is well worth thinking when the knowledge-based economy is opening up increasingly today. Taking the knowledge-intensive service enterprises as the example, we have made empirical study on how the different dimensions of dynamic capabilities, namely, sensing capability, learning capability and reconfiguring capability, affect the innovation performance of both exploration and exploitation. This study constructs and verifies a model of multi-dimensional dynamic capabilities to innovation performance using exploratory factor analysis and regression analysis. Result shows that enhancing any of sensing capability and learning capability in dynamic capabilities helps improve enterprises’ exploratory and exploitative innovation performance. Sensing capability and learning capability affect exploratory innovation performance more than exploitative innovation performance. Reconfiguring capability plays a positively significant regulating role in the relationship between sensing capability and exploratory innovation performance. Therefore, when enhancing the innovation performance, a knowledge-intensive service enterprise should not only make efforts to cultivate the sensing capability for technology and market and learning capability for external knowledge, but also enhance reconfiguring capability for both of internal and external resources to form the foundation for future competiveness. This study contributes to previous research by showing how sensing capability and learning capability affect the various dimensions of innovation performance under the regulating effects of reconfiguring capability in dynamic capabilities.},
     year = {2018}
    }
    

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    T1  - Multi-dimensional Influence of Dynamic Capabilities on Innovation Performance in Knowledge-intensive Service Enterprises
    AU  - Jin Xin
    AU  - Chen Song
    AU  - Xie Fuji
    AU  - Lu Zexia
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    DO  - 10.11648/j.sjbm.20180604.11
    T2  - Science Journal of Business and Management
    JF  - Science Journal of Business and Management
    JO  - Science Journal of Business and Management
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    EP  - 92
    PB  - Science Publishing Group
    SN  - 2331-0634
    UR  - https://doi.org/10.11648/j.sjbm.20180604.11
    AB  - How to enhance enterprise’s innovation performance is an important problem which is well worth thinking when the knowledge-based economy is opening up increasingly today. Taking the knowledge-intensive service enterprises as the example, we have made empirical study on how the different dimensions of dynamic capabilities, namely, sensing capability, learning capability and reconfiguring capability, affect the innovation performance of both exploration and exploitation. This study constructs and verifies a model of multi-dimensional dynamic capabilities to innovation performance using exploratory factor analysis and regression analysis. Result shows that enhancing any of sensing capability and learning capability in dynamic capabilities helps improve enterprises’ exploratory and exploitative innovation performance. Sensing capability and learning capability affect exploratory innovation performance more than exploitative innovation performance. Reconfiguring capability plays a positively significant regulating role in the relationship between sensing capability and exploratory innovation performance. Therefore, when enhancing the innovation performance, a knowledge-intensive service enterprise should not only make efforts to cultivate the sensing capability for technology and market and learning capability for external knowledge, but also enhance reconfiguring capability for both of internal and external resources to form the foundation for future competiveness. This study contributes to previous research by showing how sensing capability and learning capability affect the various dimensions of innovation performance under the regulating effects of reconfiguring capability in dynamic capabilities.
    VL  - 6
    IS  - 4
    ER  - 

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