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Impact of Digital Transformation on Enterprise Performance with Background of Big Data

Received: 12 January 2023    Accepted: 31 January 2023    Published: 6 February 2023
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Abstract

In the 21th century, ushered in the fourth industrial revolution, promoted the development of digital technology, the advent of intelligent technology, so that the world economy is reinvigorated. Digital economy is developing at an unprecedented speed, with a wide range of radiation and an unprecedented depth of influence. Even in this context, as the main body of industrial transformation and upgrading, enterprises still face more uncertainty and complexity of the environment. In view of this situation, the Chinese government closely follows the pace of The Times, proposes the construction of "digital China", and takes digitization as the leading force in the development of digital economy. Letting digitization lead Chinese enterprises to achieve qualitative growth. Based on the above background, this paper studies the impact of Chinese enterprises' digital transformation on enterprise performance. From the list of A-share companies from 2010 to 2020, we collected the keywords of "digital transformation (DT)" in the annual reports of enterprises. With a quantitative analysis method and empirical analysis, digital transformation’s impact on enterprise performance is verified. It is concluded that DT has a positive effect on improving enterprise performance. Innovation capability shows the positive effect of DT on the performance or enterprises. The study result shows a way how to carry out DT of companies.

Published in Science Journal of Business and Management (Volume 11, Issue 1)
DOI 10.11648/j.sjbm.20231101.11
Page(s) 1-6
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Big Data Background, Digital Transformation, Enterprise Performance, Innovation Ability

References
[1] Zeng Delin, CAI Jiawei, Ouyang Taohua. Research on digital transformation: integration framework and future prospects [J]. Foreign Economics and Management, 2021, 43 (05): 63-76. (In Chinese).
[2] He Fan, LIU Hongxia. Evaluation of the performance improvement effect of real enterprises' digital transformation from the perspective of digital economy [J]. Reform, 2019 (04): 137-148. (In Chinese).
[3] Hu Qing. The mechanism and performance of enterprise digital transformation [J]. Zhejiang Journal, 2020 (02): 146-154. (In Chinese).
[4] Guzmdn L, Reverte C. Productivity and Efficiency Changed and Shareholder Value: Evidence from the Spanish Banking Sectoe [J]. Applied Economics, 2008, 40 (15): 2037-2044.
[5] Xu meng. Digital transformation and enterprise innovation [J]. Enterprise economics, 2020, 39 (12): 54-60. (In Chinese).
[6] Zhou Wenhui, Wang Pengcheng, Yang Miao. Digital empowerment promotes mass customization technology innovation [J]. Studies in science of science, 2018, 36 (8): 1516-1523. (In Chinese).
[7] Scuotto V, et al. Amicrofoundational perspective on SMEs’growth in the digitaltransformation era [J]. Journal of Business Research, 2021 (129): 382-392.
[8] Loebbecke C, Picot A. Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda [J]. Journal of Strategic Information Systems, 2015, 24 (3): 149-157.
[9] Hoenig D, Henkel J, 2015, “Quality Signals? The Role of Patents, Alliances, and Team Experience in Venture Capital Financing”, Research Policy, Vol. 44, pp. 1049-1064.
[10] Wang Qiufei, Xu Xin, Qin Shuang. Research on the Relationship between executive incentive, R&D Investment and Enterprise Performance: Based on the data of software and information technology Industry [J]. Technology and innovation Management, 2020, 41 (02): 178-188. (In Chinese).
[11] Fu YING, Xu Qi, Lin Song. The impact of process digitization on innovation performance: the moderating role of organizational inertia [J]. Research and Development Management, 201, 33 (1): 78-89. (In Chinese).
[12] Li Haijian, Tian Yuexin, Li Wenjie, Internet Thinking and Traditional Enterprise Reengineering, China Industrial Economics, No. 10, 2014. (In Chinese).
[13] Pan Qingquan, Lu Xiaowei. The impact of innovation investment and executive overconfidence on enterprise performance [J]. Science and Technology Progress and Countermeasures, 2017, 34 (01): 98-103. (In Chinese).
[14] Wu Fei, Hu Huizhi, Lin Huiyan, Ren Xiaoyi. Enterprise digital transformation and capital market performance: Empirical evidence from stock liquidity [J]. Management World, 201, 37 (07): 130-144+10. (In Chinese).
[15] Robert S. Kaplan, David P. NORTON. Comprehensive Scorecard -- a revolutionary Evaluation and management tool [M]. Wang Bingfei, Wen Xinnian, Yin Hongyi, trans. Beijing: Xinhua Publishing House, 1998: 20-38.
[16] Zhu Bixin. Research on Performance Evaluation of Central Enterprises based on EVA Theory [D]. Hefei: Doctoral dissertation of University of Science and Technology of China, 2011. (In Chinese).
[17] QI Yudong, CAI Chengwei. Research on the multiple impacts of digitalization on the performance of manufacturing enterprises and its mechanism [J]. Learning and Exploration, 2020 (07): 108-119. (In Chinese).
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  • APA Style

    Yuting Liu, Liangcan Liu. (2023). Impact of Digital Transformation on Enterprise Performance with Background of Big Data. Science Journal of Business and Management, 11(1), 1-6. https://doi.org/10.11648/j.sjbm.20231101.11

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    ACS Style

    Yuting Liu; Liangcan Liu. Impact of Digital Transformation on Enterprise Performance with Background of Big Data. Sci. J. Bus. Manag. 2023, 11(1), 1-6. doi: 10.11648/j.sjbm.20231101.11

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    AMA Style

    Yuting Liu, Liangcan Liu. Impact of Digital Transformation on Enterprise Performance with Background of Big Data. Sci J Bus Manag. 2023;11(1):1-6. doi: 10.11648/j.sjbm.20231101.11

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  • @article{10.11648/j.sjbm.20231101.11,
      author = {Yuting Liu and Liangcan Liu},
      title = {Impact of Digital Transformation on Enterprise Performance with Background of Big Data},
      journal = {Science Journal of Business and Management},
      volume = {11},
      number = {1},
      pages = {1-6},
      doi = {10.11648/j.sjbm.20231101.11},
      url = {https://doi.org/10.11648/j.sjbm.20231101.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20231101.11},
      abstract = {In the 21th century, ushered in the fourth industrial revolution, promoted the development of digital technology, the advent of intelligent technology, so that the world economy is reinvigorated. Digital economy is developing at an unprecedented speed, with a wide range of radiation and an unprecedented depth of influence. Even in this context, as the main body of industrial transformation and upgrading, enterprises still face more uncertainty and complexity of the environment. In view of this situation, the Chinese government closely follows the pace of The Times, proposes the construction of "digital China", and takes digitization as the leading force in the development of digital economy. Letting digitization lead Chinese enterprises to achieve qualitative growth. Based on the above background, this paper studies the impact of Chinese enterprises' digital transformation on enterprise performance. From the list of A-share companies from 2010 to 2020, we collected the keywords of "digital transformation (DT)" in the annual reports of enterprises. With a quantitative analysis method and empirical analysis, digital transformation’s impact on enterprise performance is verified. It is concluded that DT has a positive effect on improving enterprise performance. Innovation capability shows the positive effect of DT on the performance or enterprises. The study result shows a way how to carry out DT of companies.},
     year = {2023}
    }
    

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  • TY  - JOUR
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    AU  - Yuting Liu
    AU  - Liangcan Liu
    Y1  - 2023/02/06
    PY  - 2023
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    DO  - 10.11648/j.sjbm.20231101.11
    T2  - Science Journal of Business and Management
    JF  - Science Journal of Business and Management
    JO  - Science Journal of Business and Management
    SP  - 1
    EP  - 6
    PB  - Science Publishing Group
    SN  - 2331-0634
    UR  - https://doi.org/10.11648/j.sjbm.20231101.11
    AB  - In the 21th century, ushered in the fourth industrial revolution, promoted the development of digital technology, the advent of intelligent technology, so that the world economy is reinvigorated. Digital economy is developing at an unprecedented speed, with a wide range of radiation and an unprecedented depth of influence. Even in this context, as the main body of industrial transformation and upgrading, enterprises still face more uncertainty and complexity of the environment. In view of this situation, the Chinese government closely follows the pace of The Times, proposes the construction of "digital China", and takes digitization as the leading force in the development of digital economy. Letting digitization lead Chinese enterprises to achieve qualitative growth. Based on the above background, this paper studies the impact of Chinese enterprises' digital transformation on enterprise performance. From the list of A-share companies from 2010 to 2020, we collected the keywords of "digital transformation (DT)" in the annual reports of enterprises. With a quantitative analysis method and empirical analysis, digital transformation’s impact on enterprise performance is verified. It is concluded that DT has a positive effect on improving enterprise performance. Innovation capability shows the positive effect of DT on the performance or enterprises. The study result shows a way how to carry out DT of companies.
    VL  - 11
    IS  - 1
    ER  - 

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Author Information
  • The Department of Business Administration, Guizhou University of Finance and Economics, Guiyang City, China

  • The Department of Business Administration, Guizhou University of Finance and Economics, Guiyang City, China

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