IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i15p6155-d392335.html
   My bibliography  Save this article

The Influence of the Knowledge-Based Network Structure Hole on Enterprise Innovation Performance: The Threshold Effect of R&D Investment Intensity

Author

Listed:
  • Jiajia Hao

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Chunling Li

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Runsen Yuan

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Masood Ahmed

    (Lee Kuan Yew School of Public Policy, National University of Singapore, Kent Ridge, 469C Bukit Timhah Road, Singapore 259772, Singapore
    Faculty of Management Sciences, Department of Commerce, University of Kotli, Azad Jammu and Kashmir, City Kotli 11100, Pakistan)

  • Muhammad Asif Khan

    (Faculty of Management Sciences, Department of Commerce, University of Kotli, Azad Jammu and Kashmir, City Kotli 11100, Pakistan)

  • Judit Oláh

    (Institute of Applied Informatics and Logistics, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary
    TRADE Research Entity, North-West University, Vanderbijlpark 1900, South Africa)

Abstract

The purpose of innovation is to consume fewer natural resources in order to create sustainable performance; therefore, innovation can ease the pressure of the ecological load and promote the sustainable development of the economy. Taking the 269 enterprises listed on the main board of the electronic information industry from 2010 to 2019 as samples, using the threshold panel data model, the nonlinear relationship between the knowledge-based network structure hole and the short-term and long-term innovation performance of the enterprises were studied, and the threshold effect of R&D investment intensity was discussed. When the R&D investment intensity is from 1.96% to 15.96%, the knowledge-based network structure hole has a significant positive impact on short-term innovation performance. When the R&D investment intensity is from 5.72% to 10.64%, the knowledge-based network structure hole has a significant positive effect on long-term innovation performance. Lower R&D investment intensity can make the knowledge-based network structure hole promote the increase of short term innovation performance, but to make the knowledge-based network structure hole have a positive impact on long term innovation performance, the R&D investment intensity should be increased by more than 5.72%. When R&D investment intensity is not higher than 15.96%, the knowledge-based network structure hole has a significant positive impact on short term innovation performance, but to make the knowledge-based network structure hole maintain the positive effect on long term innovation performance, R&D investment intensity should not exceed 10.64%. Therefore, enterprises should be guided to optimize the knowledge-based network structure according to the R&D investment intensity in order to improve the short term and long-term innovation performance of an enterprise. These research results can help enterprises to save resources and promote the sustainable development of the economy.

Suggested Citation

  • Jiajia Hao & Chunling Li & Runsen Yuan & Masood Ahmed & Muhammad Asif Khan & Judit Oláh, 2020. "The Influence of the Knowledge-Based Network Structure Hole on Enterprise Innovation Performance: The Threshold Effect of R&D Investment Intensity," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6155-:d:392335
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/15/6155/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/15/6155/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bruce Kogut & Udo Zander, 1992. "Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology," Organization Science, INFORMS, vol. 3(3), pages 383-397, August.
    2. Aleksandar Vekic & Vladimir Djakovic & Jelena Borocki & Wlodzimierz Sroka & Jozsef Popp & Judit Olah, 2020. "The Importance of Academic New Ventures for Sustainable Regional Development," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(54), pages 533-533, April.
    3. Anders Broström & Staffan Karlsson, 2017. "Mapping research on R&D, innovation and productivity: a study of an academic endeavour," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(1-2), pages 6-20, February.
    4. Zoltán Lakner & Anna Kiss & József Popp & Zoltán Zéman & Domicián Máté & Judit Oláh, 2019. "From Basic Research to Competitiveness: An Econometric Analysis of the Global Pharmaceutical Sector," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    5. Tom Dedeurwaerdere & Paolo Melindi-Ghidi & Willem Sas, 2018. "Networked innovation and coalition formation: the effect of group-based social preferences," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(7), pages 577-593, October.
    6. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    7. Khan, Muhammad Atif & Gu, Lulu & Khan, Muhammad Asif & Oláh, Judit, 2020. "Natural resources and financial development: The role of institutional quality," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    8. Liu, Haiyun & Islam, Mollah Aminul & Khan, Muhammad Asif & Hossain, Md Ismail & Pervaiz, Khansa, 2020. "Does financial deepening attract foreign direct investment? Fresh evidence from panel threshold analysis," Research in International Business and Finance, Elsevier, vol. 53(C).
    9. Ana Muñiz & Antonio Raya & Carmen Carvajal, 2010. "Spanish and European innovation diffusion: a structural hole approach in the input–output field," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(1), pages 147-165, February.
    10. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    11. Shapira, Philip & Youtie, Jan & Yogeesvaran, K. & Jaafar, Zakiah, 2006. "Knowledge economy measurement: Methods, results and insights from the Malaysian Knowledge Content Study," Research Policy, Elsevier, vol. 35(10), pages 1522-1537, December.
    12. Abdulahi, Mohamued Elyas & Shu, Yang & Khan, Muhammad Asif, 2019. "Resource rents, economic growth, and the role of institutional quality: A panel threshold analysis," Resources Policy, Elsevier, vol. 61(C), pages 293-303.
    13. Harris, Jonathan M. & Kennedy, Scott, 1999. "Carrying capacity in agriculture: global and regional issues," Ecological Economics, Elsevier, vol. 29(3), pages 443-461, June.
    14. Muhammad Asif Khan & József Popp & Mirza Nouman Ali Talib & Zoltán Lakner & Muhammad Atif Khan & Judit Oláh, 2020. "Asymmetric Impact of Institutional Quality on Tourism Inflows Among Selected Asian Pacific Countries," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    15. Uwe Cantner & Andreas Meder & Anne ter Wal, 2008. "Innovator networks and regional knowledge base," Jena Economics Research Papers 2008-042, Friedrich-Schiller-University Jena.
    16. Matthew S. Clancy, 2018. "Combinations of technology in US patents, 1926–2009: a weakening base for future innovation?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(8), pages 770-785, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Chenxi Liu & Zhenghong Peng & Lingbo Liu & Shixuan Li, 2023. "Innovation Networks of Science and Technology Firms: Evidence from China," Land, MDPI, vol. 12(7), pages 1-21, June.
    2. Bai, Dongbei & Du, Lizhao & Xu, Yang & Abbas, Shujaat, 2023. "Climate policy uncertainty and corporate green innovation: Evidence from Chinese A-share listed industrial corporations," Energy Economics, Elsevier, vol. 127(PB).
    3. Huang, Cui & Yang, Chao & Su, Jun, 2021. "Identifying core policy instruments based on structural holes: A case study of China’s nuclear energy policy," Journal of Informetrics, Elsevier, vol. 15(2).
    4. Jingjing Li & Gang Liu & Zihan Ma, 2021. "RD internationalization, domestic technology alliance, and innovation in emerging market," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-35, June.
    5. Ulziimaa Altnaa & Laszlo Vasa & Gyorgy Ivan Neszmelyi, 2021. "The Role of Network Ties on SMEs Internationalization Process in the Developing Countries/Emerging Markets: A Comparison between Mongolia, China, and Malaysia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 274-291.
    6. Cheche Duan & Yicheng Zhou & Dehong Shen & Shengqiao Lin & Wei Gong & József Popp & Judit Oláh, 2021. "The Misunderstanding of China’s Investment, and a Clarification: “Faustian Bargain” or “Good Bargain”? On the OFDI Data of Central and Eastern Europe," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    7. Radim Dušek, 2023. "Building a career in marketing communication in a sustainable development era: which key competencies are required?," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(2), pages 10-22, December.

    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. Khan, Muhammad Atif & Gu, Lulu & Khan, Muhammad Asif & Oláh, Judit, 2020. "Natural resources and financial development: The role of institutional quality," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    2. Liu, Haiyun & Islam, Mollah Aminul & Khan, Muhammad Asif & Hossain, Md Ismail & Pervaiz, Khansa, 2020. "Does financial deepening attract foreign direct investment? Fresh evidence from panel threshold analysis," Research in International Business and Finance, Elsevier, vol. 53(C).
    3. Hasanov, Fakhri J. & Aliyev, Ruslan & Taskin, Dilvin & Suleymanov, Elchin, 2023. "Oil rents and non-oil economic growth in CIS oil exporters. The role of financial development," Resources Policy, Elsevier, vol. 82(C).
    4. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    5. Muhammad Asif Khan & Masood Ahmed & József Popp & Judit Oláh, 2020. "US Policy Uncertainty and Stock Market Nexus Revisited through Dynamic ARDL Simulation and Threshold Modelling," Mathematics, MDPI, vol. 8(11), pages 1-20, November.
    6. Forman, Chris & van Zeebroeck, Nicolas, 2019. "Digital technology adoption and knowledge flows within firms: Can the Internet overcome geographic and technological distance?," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    7. Lori Rosenkopf & Paul Almeida, 2003. "Overcoming Local Search Through Alliances and Mobility," Management Science, INFORMS, vol. 49(6), pages 751-766, June.
    8. Sai Yayavaram & Wei-Ru Chen, 2015. "Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 377-396, March.
    9. Ardito, Lorenzo & Messeni Petruzzelli, Antonio, 2017. "Breadth of external knowledge sourcing and product innovation: The moderating role of strategic human resource practices," European Management Journal, Elsevier, vol. 35(2), pages 261-272.
    10. Bart Nooteboom, 2012. "Embodied Cognition, Organization and Innovation," Chapters, in: Richard Arena & Agnès Festré & Nathalie Lazaric (ed.), Handbook of Knowledge and Economics, chapter 15, Edward Elgar Publishing.
    11. Dirk Fornahl & Nils Grashof & Alexander Kopka, 2021. "Do not neglect the periphery?! - the emergence and diffusion of radical innovations," Bremen Papers on Economics & Innovation 2102, University of Bremen, Faculty of Business Studies and Economics.
    12. Khanna, Rajat, 2021. "Aftermath of a tragedy: A star's death and coauthors’ subsequent productivity," Research Policy, Elsevier, vol. 50(2).
    13. Willy C. Shih, 2021. "Increasing the Level of Abstraction as a Strategy for Accelerating the Adoption of Complex Technologies," Strategy Science, INFORMS, vol. 6(1), pages 54-61, March.
    14. Tubiana, Matteo & Miguelez, Ernest & Moreno, Rosina, 2022. "In knowledge we trust: Learning-by-interacting and the productivity of inventors," Research Policy, Elsevier, vol. 51(1).
    15. Jatinder S. Sidhu & Harry R. Commandeur & Henk W. Volberda, 2007. "The Multifaceted Nature of Exploration and Exploitation: Value of Supply, Demand, and Spatial Search for Innovation," Organization Science, INFORMS, vol. 18(1), pages 20-38, February.
    16. Messeni Petruzzelli, Antonio & Ardito, Lorenzo & Savino, Tommaso, 2018. "Maturity of knowledge inputs and innovation value: The moderating effect of firm age and size," Journal of Business Research, Elsevier, vol. 86(C), pages 190-201.
    17. Rajat Khanna & Isin Guler, 2022. "Degree assortativity in collaboration networks and invention performance," Strategic Management Journal, Wiley Blackwell, vol. 43(7), pages 1402-1430, July.
    18. Ron Boschma, 2017. "Relatedness as driver behind regional diversification: a research agenda," Papers in Evolutionary Economic Geography (PEEG) 1702, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2017.
    19. Yang, Jinxuan & Rizvi, Syed Kumail Abbas & Tan, Zhixiong & Umar, Muhammad & Koondhar, Mansoor Ahmed, 2021. "The competing role of natural gas and oil as fossil fuel and the non-linear dynamics of resource curse in Russia," Resources Policy, Elsevier, vol. 72(C).
    20. Yoichi Matsumoto, 2013. "Heterogeneous Combinations of Knowledge Elements: How the Knowledge Base Structure Impacts Knowledge-related Outcomes of a Firm," Discussion Paper Series DP2013-15, Research Institute for Economics & Business Administration, Kobe University.

    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:12:y:2020:i:15:p:6155-:d:392335. 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.