IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2406.18440.html
   My bibliography  Save this paper

New intelligent empowerment for digital transformation

Author

Listed:
  • Peng Yifeng
  • Gao Chen

Abstract

This study proposes an innovative evaluation method based on large language models (LLMs) specifically designed to measure the digital transformation (DT) process of enterprises. By analyzing the annual reports of 4407 companies listed on the New York Stock Exchange and Nasdaq from 2005 to 2022, a comprehensive set of DT indicators was constructed. The findings revealed that DT significantly improves a company's financial performance, however, different digital technologies exhibit varying effects on financial performance. Specifically, blockchain technology has a relatively limited positive impact on financial performance. In addition, this study further discovered that DT can promote the growth of financial performance by enhancing operational efficiency and reducing costs. This study provides a novel DT evaluation tool for the academic community, while also expanding the application scope of generative artificial intelligence technology in economic research.

Suggested Citation

  • Peng Yifeng & Gao Chen, 2024. "New intelligent empowerment for digital transformation," Papers 2406.18440, arXiv.org.
  • Handle: RePEc:arx:papers:2406.18440
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2406.18440
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jing Li & Jun Xia & Edward J. Zajac, 2018. "On the duality of political and economic stakeholder influence on firm innovation performance: Theory and evidence from Chinese firms," Strategic Management Journal, Wiley Blackwell, vol. 39(1), pages 193-216, January.
    2. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    3. Cragg, John G. & Donald, Stephen G., 1993. "Testing Identifiability and Specification in Instrumental Variable Models," Econometric Theory, Cambridge University Press, vol. 9(2), pages 222-240, April.
    4. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    5. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(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. Dong Cheng & Zhongzhong Hu & Yong Tan, 2021. "Heterogeneous impacts of finance on firm exports: Evidence from export deregulation in a large developing country," The World Economy, Wiley Blackwell, vol. 44(11), pages 3326-3350, November.
    2. Christoph E. Boehm & Nitya Pandalai-Nayar, 2022. "Convex Supply Curves," American Economic Review, American Economic Association, vol. 112(12), pages 3941-3969, December.
    3. Guerini, Mattia & Nesta, Lionel & Ragot, Xavier & Schiavo, Stefano, 2024. "Zombification of the economy? Assessing the effectiveness of French government support during COVID-19 lockdown," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 263-280.
    4. Ensar Yılmaz & Zeynep Kaplan, 2022. "Heterogeneity of market power: firm-level evidence," Economic Change and Restructuring, Springer, vol. 55(2), pages 1207-1228, May.
    5. Geoffrey Barrows & Hélène Ollivier & Ariell Reshef, 2023. "Production Function Estimation with Multi-Destination Firms," CESifo Working Paper Series 10716, CESifo.
    6. Andrés César & Guillermo Falcone, 2020. "Heterogeneous Effects of Chinese Import Competition on Chilean Manufacturing Plants," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-60, December.
    7. Yuan, Li & Rao, Siqi & Yang, Shenggang & Dai, Pengyi, 2023. "Does equity market openness increase productivity? the dual effects of Shanghai-Hong Kong stock Connect program in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    8. Ioannis Bournakis & Mike Tsionas, 2024. "A Non‐parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 641-671, June.
    9. Guo, Shu & Zhang, ZhongXiang, 2023. "Green credit policy and total factor productivity: Evidence from Chinese listed companies," Energy Economics, Elsevier, vol. 128(C).
    10. Gonzalo Varela & Juan Pedro Gambetta & Federico Ganz & Andreas Eberhard & Sebastian Franco & Stefania Lovo, 2020. "Import Duties and Performance," World Bank Publications - Reports 33886, The World Bank Group.
    11. Stefania Lovo & Gonzalo Varela, 2022. "Internationally Linked Firms and Productivity in Pakistan: A Look at the Top End of the Distribution," Journal of Development Studies, Taylor & Francis Journals, vol. 58(10), pages 2110-2131, October.
    12. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2022. "Are small farms really more productive than large farms?," Food Policy, Elsevier, vol. 106(C).
    13. David Van Dijcke, 2022. "On the Non-Identification of Revenue Production Functions," Papers 2212.04620, arXiv.org, revised May 2024.
    14. Islam, Asif & Hyland, Marie, 2019. "The drivers and impacts of water infrastructure reliability – a global analysis of manufacturing firms," Ecological Economics, Elsevier, vol. 163(C), pages 143-157.
    15. He, Zhenyu & Tang, Yuwei, 2023. "Local environmental constraints and firms’ export product quality: Evidence from China," Economic Modelling, Elsevier, vol. 124(C).
    16. Harald Dale-Olsen, 2021. "Do unions contribute to creative destruction?," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-23, December.
    17. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    18. Cecília Hornok & Balázs Muraközy, 2019. "Markups of Exporters and Importers: Evidence from Hungary," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(3), pages 1303-1333, July.
    19. Hsu, Wen-Tai & Lu, Yi & Luo, Xuan & Zhu, Lianming, 2023. "Foreign direct investment and industrial agglomeration: Evidence from China," Journal of Comparative Economics, Elsevier, vol. 51(2), pages 610-639.
    20. Sourafel Girma & Holger Görg, 2022. "Productivity effects of processing and ordinary export market entry: A time‐varying treatments approach," Review of International Economics, Wiley Blackwell, vol. 30(3), pages 836-853, August.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2406.18440. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.