IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i7p3036-d1370639.html
   My bibliography  Save this article

How to Improve an Enterprise’s Innovation Capability from the Perspective of High- and Low-Level Enterprises Using Fuzzy-Set Qualitative Comparative Analysis

Author

Listed:
  • Xiaoyu Bai

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
    School of Tourism and Sports Health Management, Hezhou University, Hezhou 542899, China)

  • Shengxu Xiong

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Zhe Zhou

    (School of Public Health & Management, Wenzhou Medical University, Wenzhou 325015, China)

  • Xin Liu

    (School of Management, Wuhan Polytechnic University, Wuhan 430024, China)

Abstract

An enterprise’s capability is based on the quantity and collocation pattern of the heterogeneous resources it possesses. Innovation resources are the source of enterprise innovation capability. However, there is still a “black box” problem of the impact of the intensity of government support on enterprise innovation. Therefore, it is necessary to study high- or low-level enterprise innovation capability by combining the internal and external factors of the enterprise—the background characteristics of R&D personnel and the degree of government support. Based on the configuration perspective, this study uses the qualitative comparative analysis (fsQCA) method to conduct a comparative analysis of the innovation capabilities of enterprises in five time windows over six years with the longitudinal database of China’s industrial enterprises whose operating income exceeds RMB 20 million from 2010 to 2015. This paper summarizes two ways of realizing high-level enterprise innovation capability: female and highly educated R&D personnel type, and highly educated R&D personnel and high government investment type. The enterprise innovation capability is affected simultaneously by multiple conditional variables, and the impact of each conditional variable on enterprise innovation capability has a trend. Further, it analyzes the impact of every antecedent variable comparing high- to low-level enterprise innovation.

Suggested Citation

  • Xiaoyu Bai & Shengxu Xiong & Zhe Zhou & Xin Liu, 2024. "How to Improve an Enterprise’s Innovation Capability from the Perspective of High- and Low-Level Enterprises Using Fuzzy-Set Qualitative Comparative Analysis," Sustainability, MDPI, vol. 16(7), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:3036-:d:1370639
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/7/3036/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/7/3036/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pappas, Ilias O. & Woodside, Arch G., 2021. "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing," International Journal of Information Management, Elsevier, vol. 58(C).
    2. Mohd Nizam Ab Rahman & Mahmood Doroodian & Yusniza Kamarulzaman & Norhamidi Muhamad, 2015. "Designing and Validating a Model for Measuring Sustainability of Overall Innovation Capability of Small and Medium-Sized Enterprises," Sustainability, MDPI, vol. 7(1), pages 1-26, January.
    3. Becker, Annette & Hottenrott, Hanna & Mukherjee, Anwesha, 2022. "Division of labor in R&D? Firm size and specialization in corporate research," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 1-23.
    4. Srinivas Kolluru & Pundarik Mukhopadhaya, 2017. "Empirical Studies on Innovation Performance in the Manufacturing and Service Sectors Since 1995: A Systematic Review," Economic Papers, The Economic Society of Australia, vol. 36(2), pages 223-248, June.
    5. Baumann, Julian & Kritikos, Alexander S., 2016. "The link between R&D, innovation and productivity: Are micro firms different?," Research Policy, Elsevier, vol. 45(6), pages 1263-1274.
    6. Shimin Chen & Xu Ni & Jamie Y. Tong, 2016. "Gender Diversity in the Boardroom and Risk Management: A Case of R&D Investment," Journal of Business Ethics, Springer, vol. 136(3), pages 599-621, July.
    7. Hu, Yuhan & Liu, Hao & Zhao, Jian & Tu, Liangping, 2019. "Dynamic analysis of dissemination model of innovation ability of enterprise R&D personnel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    8. Hsu, Po-Hsuan & Tian, Xuan & Xu, Yan, 2014. "Financial development and innovation: Cross-country evidence," Journal of Financial Economics, Elsevier, vol. 112(1), pages 116-135.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Zhibin & Xu, Yibin & Tian, Zongtao & Meng, Xu, 2022. "The Impact of Social Insurance Law on Corporate Innovation: Evidence from a quasi-natural experiment," Economic Modelling, Elsevier, vol. 111(C).
    2. Dong, Xiao & Yu, Mingzhe, 2023. "Does FinTech development facilitate firms' innovation? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 89(C).
    3. Du, Qunyang & Li, Zhongyuan & Du, Min & Yang, Tianle, 2024. "Government venture capital and innovation performance in alternative energy production: The moderating role of environmental regulation and capital market activity," Energy Economics, Elsevier, vol. 129(C).
    4. Yuan, Li & Rao, Siqi & Yang, Shenggang & Dai, Pengyi, 2023. "Does equity market openness increase productivity? the dual effects of Shanghai-Hong Kong stock Connect program in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    5. Long Xue & Qianyu Zhang & Xuemang Zhang & Chengyu Li, 2022. "Can Digital Transformation Promote Green Technology Innovation?," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    6. Chen, Shiu-Sheng, 2017. "Exchange rate undervaluation and R&D activity," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 148-160.
    7. Jin, Laiqun & Dai, Jiaying & Jiang, Weijie & Cao, Kairui, 2023. "Digital finance and misallocation of resources among firms: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    8. Qureshi, Irfan & Park, Donghyun & Crespi, Gustavo Atilio & Benavente, Jose Miguel, 2021. "Trends and determinants of innovation in Asia and the Pacific vs. Latin America and the Caribbean," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1287-1309.
    9. Ioannis Giotopoulos & Alexander S. Kritikos & Aggelos Tsakanikas, 2023. "A lasting crisis affects R&D decisions of smaller firms: the Greek experience," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1161-1175, August.
    10. de Haas, Ralph & Popov, A., 2018. "Financial Development and Industrial Pollution," Other publications TiSEM a0a4fb82-734a-442a-9ea1-a, Tilburg University, School of Economics and Management.
    11. Hou, Qingsong & Hu, May & Yuan, Yuan, 2017. "Corporate innovation and political connections in Chinese listed firms," Pacific-Basin Finance Journal, Elsevier, vol. 46(PA), pages 158-176.
    12. Çağatay Bircan & Ralph De Haas, 2020. "The Limits of Lending? Banks and Technology Adoption across Russia," The Review of Financial Studies, Society for Financial Studies, vol. 33(2), pages 536-609.
    13. Luo, Lianfa & Cheng, Zhiming & Ye, Qingqing & Cheng, Yanjun & Smyth, Russell & Yang, Zhiqing & Zhang, Le, 2024. "Nonmonetary awards and innovation: Evidence from winning China's Top Brand Contest," China Economic Review, Elsevier, vol. 86(C).
    14. Xuan Zhang, 2023. "The impact of digital finance on corporate labor productivity: evidence from Chinese-listed companies," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 527-550, September.
    15. Wei, Hao & Yuan, Ran & Zhao, Laixun, 2020. "International talent inflow and R&D investment: Firm-level evidence from China," Economic Modelling, Elsevier, vol. 89(C), pages 32-42.
    16. Alam, Ashraful & Uddin, Moshfique & Yazdifar, Hassan & Shafique, Sujana & Lartey, Theophilus, 2020. "R&D investment, firm performance and moderating role of system and safeguard: Evidence from emerging markets," Journal of Business Research, Elsevier, vol. 106(C), pages 94-105.
    17. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    18. Liu, Jiangtao & Zhang, Yi & Kuang, Jia, 2023. "Fintech development and green innovation: Evidence from China," Energy Policy, Elsevier, vol. 183(C).
    19. Didier, Tatiana & Levine, Ross & Llovet Montanes, Ruth & Schmukler, Sergio L., 2021. "Capital market financing and firm growth," Journal of International Money and Finance, Elsevier, vol. 118(C).
    20. Bedford, Anna & Ma, Le & Ma, Nelson & Vojvoda, Kristina, 2022. "Australian innovation: Patent database construction and first evidence," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).

    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:gam:jsusta:v:16:y:2024:i:7:p:3036-:d:1370639. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.