IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0313929.html
   My bibliography  Save this article

Digital technology innovation, supply chain resilience and enterprise performance-The case of listed automotive parts manufacturing companies

Author

Listed:
  • Xiangbing Chen
  • Chen Sun
  • Fang Wang

Abstract

Digital technology innovation (DTI) is the core driving force for the development of the digital economy. This paper brings digital technology innovation and the supply chain of auto parts manufacturing under the same framework. This paper uses Stata 18 to empirically analyze the panel data of 130 A-share auto parts listed companies in Shanghai and Shenzhen from 2010 to 2022. The digital technology innovation indicator is divided into three levels: substantial digital technology innovation (SDTI), non-substantial digital technology innovation (NDTI), overall digital technology innovation (ODTI). To explore its impact mechanism on enterprise performance. The empirical results show that: (1) Digital technological innovation (DTI) has a positive and significant impact on enterprise performance, and supply chain resilience plays a mediating role in the relationship between digital technology innovation and enterprise performance, and R&D investment (RDI) positively moderates the role of supply chain resilience in promoting enterprise performance. (2) Heterogeneity analysis showed that the impact of supply chain resilience on enterprise performance was more significant in small and medium-sized enterprises. There are significant differences between different groups of business ownership. In economically underdeveloped regions, the effect of digital technology innovation on enterprise performance is more significant. This paper complements the perspective of supply chain to study the relationship between digital technology innovation and enterprise performance, expands the existing research, and its heterogeneity analysis provides new insights for understanding China’s auto parts manufacturing industry. This provides a basis for strengthening digital technology innovation and promoting the sustainable development of the auto parts industry.

Suggested Citation

  • Xiangbing Chen & Chen Sun & Fang Wang, 2025. "Digital technology innovation, supply chain resilience and enterprise performance-The case of listed automotive parts manufacturing companies," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-19, January.
    • Handle: RePEc:plo:pone00:0313929
    DOI: 10.1371/journal.pone.0313929
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0313929
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0313929&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0313929?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
    ---><---

    References listed on IDEAS

    as
    1. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    2. Sawik, Tadeusz, 2013. "Selection of resilient supply portfolio under disruption risks," Omega, Elsevier, vol. 41(2), pages 259-269.
    3. Fei Li & Yang Zhao & Jaime Ortiz & Yan Chen, 2023. "How Does Digital Technology Innovation Affect the Internationalization Performance of Chinese Enterprises? The Moderating Effect of Sustainability Readiness," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    4. Stevens, Eric & Dimitriadis, Sergios, 2004. "New service development through the lens of organisational learning: evidence from longitudinal case studies," Journal of Business Research, Elsevier, vol. 57(10), pages 1074-1084, October.
    5. Tsan-Ming Choi, 2016. "Inventory Service Target in Quick Response Fashion Retail Supply Chains," Service Science, INFORMS, vol. 8(4), pages 406-419, December.
    6. Yu-Sheng Kao & Kazumitsu Nawata & Chi-Yo Huang, 2019. "Evaluating the Performance of Systemic Innovation Problems of the IoT in Manufacturing Industries by Novel MCDM Methods," Sustainability, MDPI, vol. 11(18), pages 1-33, September.
    7. David G. Hoopes & Tammy L. Madsen & Gordon Walker, 2003. "Guest editors' introduction to the special issue: why is there a resource‐based view? Toward a theory of competitive heterogeneity," Strategic Management Journal, Wiley Blackwell, vol. 24(10), pages 889-902, October.
    8. Aki Tomizawa & Li Zhao & Geneviève Bassellier & David Ahlstrom, 2020. "Economic growth, innovation, institutions, and the Great Enrichment," Asia Pacific Journal of Management, Springer, vol. 37(1), pages 7-31, March.
    9. Sundar Bharadwaj & Anandhi Bharadwaj & Elliot Bendoly, 2007. "The Performance Effects of Complementarities Between Information Systems, Marketing, Manufacturing, and Supply Chain Processes," Information Systems Research, INFORMS, vol. 18(4), pages 437-453, December.
    10. Blichfeldt, Henrik & Faullant, Rita, 2021. "Performance effects of digital technology adoption and product & service innovation – A process-industry perspective," Technovation, Elsevier, vol. 105(C).
    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. Zhai, Zhe & Ghosal, Vivek, 2022. "Internationalization of innovation and firm performance in the pharmaceutical industry," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 882-905.
    2. Francisco Javier Forcadell & Fernando Úbeda, 2022. "Individual entrepreneurial orientation and performance: the mediating role of international entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 18(2), pages 875-900, June.
    3. Luis Araya-Castillo & Felipe Hernández-Perlines & Hugo Moraga & Antonio Ariza-Montes, 2021. "Scientometric Analysis of Research on Socioemotional Wealth," Sustainability, MDPI, vol. 13(7), pages 1-26, March.
    4. Banal-Estañol, Albert & Duso, Tomaso & Seldeslachts, Jo & Szücs, Florian, 2022. "R&D Spillovers through RJV Cooperation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(4), pages 1-10.
    5. 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.
    6. Jürgen Janger & Michael Böheim & Martin Falk & Rahel Falk & Werner Hölzl & Daniela Kletzan-Slamanig & Michael Peneder & Andreas Reinstaller & Fabian Unterlass & Gunther Tichy, 2010. "Research and Innovation Policy after the Crisis," Austrian Economic Quarterly, WIFO, vol. 15(4), pages 321-335, December.
    7. Rizvi, Syed Kumail Abbas & Rahat, Birjees & Naqvi, Bushra & Umar, Muhammad, 2024. "Revolutionizing finance: The synergy of fintech, digital adoption, and innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    8. Sophia Soyoung Jeong & Yuanyuan Gong & Alexandra Henderson, 2023. "Sympathy or distress? The moderating role of negative emotion differentiation in helping behavior," Asia Pacific Journal of Management, Springer, vol. 40(4), pages 1429-1458, December.
    9. Antonelli, Cristiano, 2017. "Digital knowledge generation and the appropriability trade-off," Telecommunications Policy, Elsevier, vol. 41(10), pages 991-1002.
    10. Zand, Fardad & Van Beers, Cees & Van Leeuwen, George, 2011. "Information technology, organizational change and firm productivity: A panel study of complementarity effects and clustering patterns in Manufacturing and Services," MPRA Paper 46469, University Library of Munich, Germany.
    11. Andrés Barge-Gil & Alberto López, 2015. "R versus D: estimating the differentiated effect of research and development on innovation results," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 93-129.
    12. Rönnberg Sjödin, David & Parida, Vinit & Kohtamäki, Marko, 2016. "Capability configurations for advanced service offerings in manufacturing firms: Using fuzzy set qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 69(11), pages 5330-5335.
    13. Jaan Masso & Amaresh K Tiwari, 2021. "Productivity Implications Of R&D, Innovation And Capital Accumulation For Incumbents And Entrants: The Case Of Estonia," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 130, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    14. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    15. Boddewyn, Jean J. & Peng, Mike W., 2021. "Reciprocity and informal institutions in international market entry," Journal of World Business, Elsevier, vol. 56(1).
    16. Nicholas Tsounis & Ian Steedman, 2021. "A New Method for Measuring Total Factor Productivity Growth Based on the Full Industry Equilibrium Approach: The Case of the Greek Economy," Economies, MDPI, vol. 9(3), pages 1-21, August.
    17. Witell, Lars & Gebauer, Heiko & Jaakkola, Elina & Hammedi, Wafa & Patricio, Lia & Perks, Helen, 2017. "A bricolage perspective on service innovation," Journal of Business Research, Elsevier, vol. 79(C), pages 290-298.
    18. Zhong Qin & Xin Deng, 2016. "Government and family Guanxi in Chinese private firms: perceptions and preference," Review of Managerial Science, Springer, vol. 10(1), pages 35-60, January.
    19. Rodríguez-Gulías, María Jesús & Fernández-López, Sara & Rodeiro-Pazos, David, 2024. "Foreign knowledge sources and innovation: Differences across large and small and medium-size multinational enterprises (MNEs)," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 741-757.
    20. Dechezlepretre, Antoine & Einiö, Elias & Martin, Ralf & Nguyen, Kieu-Trang & Reenen, John Van, 2016. "Do tax incentives for research increase firm innovation? An RD design for R&D, patents and spillovers," LSE Research Online Documents on Economics 66428, London School of Economics and Political Science, LSE Library.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0313929. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.