IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-05090-6.html
   My bibliography  Save this article

Balancing innovation and accountability: AI’s transformative influence on logistics in G20 nations

Author

Listed:
  • Ya Li

    (Xi’an Jiaotong University)

  • Zheng Guangwen

    (Shaanxi University of Science and Technology)

Abstract

This study examines the impact of artificial intelligence (AI) on the logistics performance of G20 countries from 2010 to 2022, with a focus on the moderating effect of accountability, within the framework of Dynamic Capability Theory. Utilizing panel-corrected standard errors (PCSEs) for benchmark regression and two-step System Generalized Method of Moments (GMM) for robustness checks and endogeneity analysis, we assess the relationship between AI investments and logistics efficiency. Our findings reveal that AI positively influences the logistics performance across different economic contexts, with significant effects observed in both developed and developing countries. The robustness analysis, using the number of AI startups as an alternative measure, confirms these results. Moreover, our heterogeneity analysis highlights that high AI funding levels significantly enhance logistics performance, while the impact is negligible in countries with lower AI investments. The analysis of the moderating effect of accountability indicates that while governance improvements contribute positively to logistics efficiency, they may reduce the direct impact of AI investments due to regulatory challenges. These findings imply that policymakers should focus on fostering AI investments and enhancing governance structures to optimize logistics performance, particularly in regions with low AI penetration. Our study underscores the critical role of AI and accountability in advancing global logistics performance.

Suggested Citation

  • Ya Li & Zheng Guangwen, 2025. "Balancing innovation and accountability: AI’s transformative influence on logistics in G20 nations," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05090-6
    DOI: 10.1057/s41599-025-05090-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-05090-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-025-05090-6?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Moritz Renftle & Holger Trittenbach & Michael Poznic & Reinhard Heil, 2024. "What do algorithms explain? The issue of the goals and capabilities of Explainable Artificial Intelligence (XAI)," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    2. Eric J. Topol, 2019. "Deep learning detects impending organ injury in the clinic," Nature, Nature, vol. 572(7767), pages 36-37, August.
    3. Chen Qu & Eunyoung Kim, 2024. "Reviewing the Roles of AI-Integrated Technologies in Sustainable Supply Chain Management: Research Propositions and a Framework for Future Directions," Sustainability, MDPI, vol. 16(14), pages 1-27, July.
    4. Cornelius Ewuoso, 2023. "Black box problem and African views of trust," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    5. Fosso Wamba, Samuel & Queiroz, Maciel M. & Chiappetta Jabbour, Charbel Jose & Shi, Chunming (Victor), 2023. "Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?," International Journal of Production Economics, Elsevier, vol. 265(C).
    6. Pınar Pehlivan & Anıl Ilkem Aslan & Sofia David & Silviu Bacalum, 2024. "Determination of Logistics Performance of G20 Countries Using Quantitative Decision-Making Techniques," Sustainability, MDPI, vol. 16(5), pages 1-15, February.
    7. Ana Teresa López-Jiménez & Serge Mostowy, 2021. "Emerging technologies and infection models in cellular microbiology," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    8. Zoubin Ghahramani, 2015. "Probabilistic machine learning and artificial intelligence," Nature, Nature, vol. 521(7553), pages 452-459, May.
    9. Chowdhury, Md Maruf H. & Quaddus, Mohammed, 2017. "Supply chain resilience: Conceptualization and scale development using dynamic capability theory," International Journal of Production Economics, Elsevier, vol. 188(C), pages 185-204.
    10. Weixin Wang & Qiqi Wu & Jiafu Su & Bing li, 2024. "The impact of international logistics performance on import and export trade: an empirical case of the “Belt and Road” initiative countries," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    11. Zunaira Khadim & Irem Batool & Ahsan Akbar & Petra Poulova & Minahs Akbar, 2021. "Mapping the Moderating Role of Logistics Performance of Logistics Infrastructure on Economic Growth in Developing Countries," Economies, MDPI, vol. 9(4), pages 1-12, November.
    12. Rezaei, Jafar & van Roekel, Wilco S. & Tavasszy, Lori, 2018. "Measuring the relative importance of the logistics performance index indicators using Best Worst Method," Transport Policy, Elsevier, vol. 68(C), pages 158-169.
    13. Óscar Andrés Molina & Miriam Jiménez Bernal & Daniel López Wolf & Benjamín Herreros, 2024. "What is Spanish regulation on the application of artificial intelligence to medicine like?," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-7, December.
    14. Violetta Giada Cannas & Maria Pia Ciano & Mattia Saltalamacchia & Raffaele Secchi, 2024. "Artificial intelligence in supply chain and operations management: a multiple case study research," International Journal of Production Research, Taylor & Francis Journals, vol. 62(9), pages 3333-3360, May.
    15. Siddik, Abu Bakkar & Li, Yong & Du, Anna Min & Migliavacca, Milena, 2025. "Fueling financial development: The crucial role of generative AI financing across nations," Finance Research Letters, Elsevier, vol. 72(C).
    16. Samuel Fosso Wamba & Cameron Guthrie & Maciel M. Queiroz & Stefan Minner, 2024. "ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 62(16), pages 5676-5696, August.
    17. Bulelani Jili, 2022. "Africa: regulate surveillance technologies and personal data," Nature, Nature, vol. 607(7919), pages 445-448, July.
    18. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    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. Li, Lixu & Liu, Yaoqi & Jin, Yong & Cheng, T.C. Edwin & Zhang, Qianjun, 2024. "Generative AI-enabled supply chain management: The critical role of coordination and dynamism," International Journal of Production Economics, Elsevier, vol. 277(C).
    2. Tiwari, Manisha & Bryde, David J. & Stavropoulou, Foteini & Dubey, Rameshwar & Kumari, Sushma & Foropon, Cyril, 2024. "Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    3. Dubey, Rameshwar & Gunasekaran, Angappa & Papadopoulos, Thanos, 2024. "Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    4. Li, Lixu & Zhu, Wenwen & Chen, Lujie & Liu, Yaoqi, 2024. "Generative AI usage and sustainable supply chain performance: A practice-based view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    5. Youngho Kang & Byung-Yeon Kim, 2018. "Immigration and economic growth: do origin and destination matter?," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4968-4984, October.
    6. Thorsten Lehnert, 2019. "Asset pricing implications of good governance," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.
    7. Arturas Juodis, 2013. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 13-08, Universiteit van Amsterdam, Dept. of Econometrics.
    8. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.
    9. Nam, Changwoo, 2016. "Impact of Corporate Tax Cuts on Corporate Investment," KDI Policy Forum 264, Korea Development Institute (KDI).
    10. Manthos D. Delis & Sotirios Kokas & Steven Ongena, 2016. "Foreign Ownership and Market Power in Banking: Evidence from a World Sample," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 449-483, March.
    11. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    12. Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2018. "State Space Approach to Adaptive Artificial Intelligence Modeling: Application to Financial Portfolio with Fuzzy System," CARF F-Series CARF-F-422, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    13. Aziz Barhmi & Omar Hajaji, 2023. "Multidisciplinary Approach to Supply Chain Resilience: Conceptualization and Scale Development," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 43-69.
    14. Massimo Colombo & Annalisa Croce & Samuele Murtinu, 2014. "Ownership structure, horizontal agency costs and the performance of high-tech entrepreneurial firms," Small Business Economics, Springer, vol. 42(2), pages 265-282, February.
    15. Heng, Dyna, 2011. "Capital flows and real exchange rate: does financial development matter?," MPRA Paper 48553, University Library of Munich, Germany, revised May 2012.
    16. Samuel Fosu, 2013. "Banking Competition in Africa: Sub-regional Comparative Studies," Discussion Papers in Economics 13/12, Division of Economics, School of Business, University of Leicester, revised Jun 2013.
    17. Da Teng & Douglas B. Fuller & Chengchun Li, 2018. "Institutional change and corporate governance diversity in China’s SOEs," Asia Pacific Business Review, Taylor & Francis Journals, vol. 24(3), pages 273-293, May.
    18. Baharumshah, Ahmad Zubaidi & Slesman, Ly & Wohar, Mark E., 2016. "Inflation, inflation uncertainty, and economic growth in emerging and developing countries: Panel data evidence," Economic Systems, Elsevier, vol. 40(4), pages 638-657.
    19. Guglielmo Maria Caporale & Anamaria Diana Sova & Robert Sova, 2024. "The Covid‐19 pandemic and European trade flows: Evidence from a dynamic panel model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 2563-2580, July.
    20. Jean‐Louis Combes & Xavier Debrun & Alexandru Minea & René Tapsoba, 2018. "Inflation Targeting, Fiscal Rules and the Policy Mix: Cross‐effects and Interactions," Economic Journal, Royal Economic Society, vol. 128(615), pages 2755-2784, November.

    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:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05090-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.