pisco_log
banner

Research on the Impact of Digital Transformation on Innovation Performance in Manufacturing Enterprises

Wenxuan Zhao, Fa Tian*

Abstract


This study investigates the impact of digital transformation on the innovation performance of listed manufacturing companies and
explores the mediating mechanism of R&D expenditure. Utilizing a sample of Chinese firms, the empirical results demonstrate that digital
transformation exerts a significantly positive impact on innovation efficiency and performance, with R&D expenditure serving as a critical
bridging mechanism. This study enriches the existing theoretical framework, offering empirical evidence for digital strategies while suggesting future inquiries into firm heterogeneity.

Keywords


Manufacturing enterprises; Digital transformation; Innovation performance; R&D expenditure

Full Text:

PDF

Included Database


References


[1] Kang Y Y, Feng Y. Research on the impact of digital transformation on the innovation performance of listed manufacturing companies [J].

Technological and Innovation Management, 2024, 45 (02): 172-180+196.

[2] Li W X. Research on the impact of digital transformation on innovation performance of manufacturing enterprises [D]. Qilu University

of Technology, 2024.

[3] You Q. Research on the impact of digitalization level on innovation performance of listed manufacturing enterprises [D]. Jiangxi Normal University, 2023.

[4] Liu K D. Research on the impact of digital transformation on innovation performance of small and medium manufacturing enterprises [D].

Harbin Engineering University, 2024.

[5] Yao Y. Essential concepts and applications of digitization, electronization, networking and virtualization [J]. Journal of Academic Libraries, 2009, 27 (05): 13-17.

[6] Liu Y, Wang W, Su F. A case study on enterprise digital transformation under the background of industrial big data [J]. Journal of Management, 2020, 33 (01): 60-69.

[7] Chen J, Huang S, Liu Y H. From empowering to enabling Enterprise operational management under the digital environment [J].

Management World, 2020, 36 (02): 117-128+222.

[8] Wu S Q, Wang J. Research on the relationship among organizational learning, innovation climate and innovation performance [J]. Science & Technology Management Research, 2014, 34 (02): 178-182.

[9] Yun J, Ma W J, Chen L. Research on the interactive effects of openness and network capability on innovation performance [J]. Science

Research Management, 2012, 33 (07): 8-15.

[10] Li Z, Yang H T. Research on the impacts of absorptive capacity, relational learning and knowledge integration on enterprise innovation

performance: Empirical evidence from science and technology SMEs [J]. Science Research Management, 2012, 33 (01): 79-89.

[11] Li J, Qiu J J, Cheng Y. Current status and development countermeasures of business comprehensive integration during the digital transformation of industrial enterprises [J]. Forum on Science and Technology in China, 2019 (07): 113-118.

[12] Wang J J, Guo S L, Zhang L P. Research on the impact of internet on enterprise innovation performance and its mechanism: An explanation based on open innovation [J]. Nankai Economic Studies, 2018 (06): 170-190.

[13] Mao K J. Technological innovation: Theoretical review and discussion [J]. Science of Science and Management of S.& T., 2005 (10):

55-59.

[14] Jia Z N. Review and application of transaction cost theory [J]. Modern Marketing (Late Edition), 2022 (07): 102-104.

[15] Wang X X. Review on transaction cost theory research [J]. Modern Marketing (Operating Edition), 2021 (04): 112-113.

[16] Qi Y D, Li Y. New economy and regulatory reform [J]. China Industrial Economics, 2018 (03): 5-23.

[17] Sun H, Wang H. Government subsidies, R&D investment and enterprise innovation performance: An empirical study based on high-tech

enterprises on the ChiNext market [J]. Science & Technology Management Research, 2017, 37 (12): 111-116.

[18] Chi R Y, Yu J, Ruan H P. Research on the impact of enterprise scale and R&D investment on innovation performance: From the perspective of credit environment and knowledge stock [J]. East China Economic Management, 2020, 34 (09): 43-54.

[19] Xu Y M, Sun J. Review of innovation measurement research and outlook of enterprise innovation measurement [J]. Statistics & Information Forum, 2018, 33 (07): 123-128.

[20] Wen Z L, Ye B J. Mediation analysis: Method and model development [J]. Advances in Psychological Science, 2014, 22 (05): 731-745.

[21] Pengyu C, SangKyum K. The impact of digital transformation on innovation performance - The mediating role of innovation factors [J].

Heliyon, 2023, 9 (3): 1391.




DOI: http://dx.doi.org/10.70711/memf.v3i9.9878

Refbacks

  • There are currently no refbacks.