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Influence of Enterprise’s Factor Inputs and Co-Opetition Relationships to Its Innovation Output

Author

Listed:
  • Lei Shi

    (National Academy of Innovation Strategy, China Association for Science and Technology, Beijing 100038, China)

  • Shan Gao

    (School of Business, Shandong Normal University, Jinan 250358, China)

  • Airong Xu

    (School of Business, Shandong Normal University, Jinan 250358, China)

  • Kexin Zheng

    (School of Business, Shandong Normal University, Jinan 250358, China)

  • Yuanpeng Ji

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Xianlei Dong

    (School of Business, Shandong Normal University, Jinan 250358, China)

  • Lizhi Xing

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

In the context of economic globalization, innovation has become a major drive for the sustainable development of enterprises, which emphasizes the importance of studying the influencing factors of enterprise innovation output. The purpose of this study is to clarify the influence mechanism of different indicators on enterprise innovation output, and then provide relevant suggestions for improving enterprise innovation ability. This paper takes 562 enterprises in Chaoyang Sub-park and Fengtai Sub-park of Zhongguancun in Beijing within the time span between 2015 and 2016 as the research objects, and constructs a comprehensive indicator system of influencing factors for enterprise innovation output from the perspective of enterprise co-opetition relationship, factor input and environmental factors. A quantitative model of innovation output and influencing factors was built and then solved, via spike-and-slab sparse function and stepwise regression, aiming at analyzing the influence of different indicators on enterprise innovation output. In addition, this paper also classifies enterprises according to their innovation level and explores the influence of indicators on different types of enterprises. The innovation of this study lies in the modeling of competition and cooperation between enterprises and the establishment of a relatively comprehensive indicator system of influencing factors for enterprise innovation output. The results show that the degree of technological collaboration between enterprises, the level of financing and the degree of capital and labor input in innovation activities have significant positive effects on enterprise innovation output. On the contrary, product and service competition, as well as capital competition, tends to have a negative impact, which urges enterprises to pay heed to the intensity of competition faced by products and services as well as the diversity of financing sources and investment targets to reduce the negative impacts. In addition, enterprises with different levels of innovation should take customized measures in terms of factor input and co-opetition relationships, in that some indicators such as network structure indicators negatively influence the innovation output of enterprises with lower levels of innovation, but has positive impacts on those with higher levels of innovation.

Suggested Citation

  • Lei Shi & Shan Gao & Airong Xu & Kexin Zheng & Yuanpeng Ji & Xianlei Dong & Lizhi Xing, 2023. "Influence of Enterprise’s Factor Inputs and Co-Opetition Relationships to Its Innovation Output," Sustainability, MDPI, vol. 15(1), pages 1-23, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:1:p:838-:d:1023368
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    References listed on IDEAS

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    1. Álvarez-Ayuso, Inmaculada C. & Kao, Chihwa & Romero-Jordán, Desiderio, 2018. "Long run effect of public grants and tax credits on R&D investment: A non-stationary panel data approach," Economic Modelling, Elsevier, vol. 75(C), pages 93-104.
    2. Pengyuan Xu & Meiqing Zhang & Min Gui, 2020. "How R&D Financial Subsidies, Regional R&D Input, and Intellectual Property Protection Affect the Sustainable Patent Output of SMEs: Evidence from China," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    3. Melissa A. Schilling, 2015. "Technology Shocks, Technological Collaboration, and Innovation Outcomes," Organization Science, INFORMS, vol. 26(3), pages 668-686, June.
    4. Mingdi Xin & Vidyanand Choudhary, 2019. "IT Investment Under Competition: The Role of Implementation Failure," Management Science, INFORMS, vol. 65(4), pages 1909-1925, April.
    5. Sheikh, Shahbaz, 2018. "The impact of market competition on the relation between CEO power and firm innovation," Journal of Multinational Financial Management, Elsevier, vol. 44(C), pages 36-50.
    6. Rosenbloom, Joshua L. & Ginther, Donna K., 2017. "Show me the Money: Federal R&D Support for Academic Chemistry, 1990–2009," Research Policy, Elsevier, vol. 46(8), pages 1454-1464.
    7. Jiancheng Guan & He Wei, 2015. "A bilateral comparison of research performance at an institutional level," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 147-173, July.
    8. Biao Mi & Liang Han, 2020. "Banking market concentration and syndicated loan prices," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 1-28, January.
    9. Guodong Ni & Heng Xu & Qingbin Cui & Yaning Qiao & Ziyao Zhang & Huaikun Li & Paul J. Hickey, 2020. "Influence Mechanism of Organizational Flexibility on Enterprise Competitiveness: The Mediating Role of Organizational Innovation," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    10. Zhao, S.L. & Cacciolatti, L. & Lee, S.H. & Song, W., 2015. "Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 202-220.
    11. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    12. Erik Døving & Paul N. Gooderham, 2008. "Dynamic capabilities as antecedents of the scope of related diversification: the case of small firm accountancy practices," Strategic Management Journal, Wiley Blackwell, vol. 29(8), pages 841-857, August.
    13. Pegkas, Panagiotis & Staikouras, Christos & Tsamadias, Constantinos, 2019. "Does research and development expenditure impact innovation? Evidence from the European Union countries," Journal of Policy Modeling, Elsevier, vol. 41(5), pages 1005-1025.
    14. Chen, Chung-Jen, 2009. "Technology commercialization, incubator and venture capital, and new venture performance," Journal of Business Research, Elsevier, vol. 62(1), pages 93-103, January.
    15. Samuel Amponsah Odei & Jan Stejskal, 2019. "Do Firms R&D Collaborations with the Science System and Enterprise Group Partners Stimulate Their Product and Process Innovations?," Economies, MDPI, vol. 7(2), pages 1-13, May.
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