IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v210y2025ics0040162524006875.html
   My bibliography  Save this article

Impact of AI literacy and adaptability on financial analyst skills among prospective Thai accountants: The role of critical thinking

Author

Listed:
  • Imjai, Narinthon
  • Yordudom, Tanakrit
  • Yaacob, Zulnaidi
  • Saad, Nor Hasliza Md
  • Aujirapongpan, Somnuk

Abstract

This study examined the impact of artificial intelligence (AI) literacy on the skills of future Thai accountants as financial analysts. It used quantitative methods to survey students from different academic years studying accounting in Thai higher education. The study utilized structural equation modelling to investigate the correlations between AI literacy, adaptability, critical thinking, and financial analyst skills. The results revealed that AI literacy had a significant positive impact on both adaptability and critical thinking, which subsequently led to improvements in financial analysis abilities. Adaptability played a crucial role in facilitating the actual use of AI knowledge. The study then applied stage of change theory to conceptualize the integration of AI into accounting processes, emphasizing a significant transformation in the training of accountants to adapt to the technological environment. The findings emphasize the educational prerequisites for AI in the accounting industry and call for curricular changes to successfully develop AI skills. This study advocates for ongoing educational reforms that are in line with technological improvements to better prepare future accountants for the digital era.

Suggested Citation

  • Imjai, Narinthon & Yordudom, Tanakrit & Yaacob, Zulnaidi & Saad, Nor Hasliza Md & Aujirapongpan, Somnuk, 2025. "Impact of AI literacy and adaptability on financial analyst skills among prospective Thai accountants: The role of critical thinking," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    • Handle: RePEc:eee:tefoso:v:210:y:2025:i:c:s0040162524006875
    DOI: 10.1016/j.techfore.2024.123889
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162524006875
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2024.123889?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. Firuz Kamalov & David Santandreu Calonge & Ikhlaas Gurrib, 2023. "New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution," Sustainability, MDPI, vol. 15(16), pages 1-27, August.
    2. repec:arp:sjefsm:2021:p:17-24 is not listed on IDEAS
    3. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    4. Hassan H. H. Aldboush & Marah Ferdous, 2023. "Building Trust in Fintech: An Analysis of Ethical and Privacy Considerations in the Intersection of Big Data, AI, and Customer Trust," IJFS, MDPI, vol. 11(3), pages 1-18, July.
    5. Ardito, Lorenzo & D'Adda, Diego & Messeni Petruzzelli, Antonio, 2018. "Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 317-330.
    6. Bianchini, Stefano & Müller, Moritz & Pelletier, Pierre, 2022. "Artificial intelligence in science: An emerging general method of invention," Research Policy, Elsevier, vol. 51(10).
    7. Yi Zhang & Patrick Sik-Wah Fong & Daniel Yamoah Agyemang, 2021. "What Should Be Focused on When Digital Transformation Hits Industries? Literature Review of Business Management Adaptability," Sustainability, MDPI, vol. 13(23), pages 1-30, December.
    8. Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
    9. Gil Cohen, 2022. "Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies," Mathematics, MDPI, vol. 10(18), pages 1-13, September.
    10. Hassan Damerji & Anwar Salimi, 2021. "Mediating effect of use perceptions on technology readiness and adoption of artificial intelligence in accounting," Accounting Education, Taylor & Francis Journals, vol. 30(2), pages 107-130, March.
    11. Mohammad El Hajj & Jamil Hammoud, 2023. "Unveiling the Influence of Artificial Intelligence and Machine Learning on Financial Markets: A Comprehensive Analysis of AI Applications in Trading, Risk Management, and Financial Operations," JRFM, MDPI, vol. 16(10), pages 1-16, October.
    12. Aven, Terje, 2016. "Risk assessment and risk management: Review of recent advances on their foundation," European Journal of Operational Research, Elsevier, vol. 253(1), pages 1-13.
    13. Susanne Leitner-Hanetseder & Othmar M. Lehner & Christoph Eisl & Carina Forstenlechner, 2021. "A profession in transition: actors, tasks and roles in AI-based accounting," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 22(3), pages 539-556, February.
    14. Magistretti, Stefano & Dell’Era, Claudio & Messeni Petruzzelli, Antonio, 2019. "How intelligent is Watson? Enabling digital transformation through artificial intelligence," Business Horizons, Elsevier, vol. 62(6), pages 819-829.
    15. Huaruo Chen & Tingting Fang & Fan Liu & Liman Pang & Ya Wen & Shi Chen & Xueying Gu, 2020. "Career Adaptability Research: A Literature Review with Scientific Knowledge Mapping in Web of Science," IJERPH, MDPI, vol. 17(16), pages 1-21, August.
    16. Yixuan Peng & Sayed Fayaz Ahmad & Ahmad Y. A. Bani Ahmad & Mustafa S. Al Shaikh & Mohammad Khalaf Daoud & Fuad Mohammed Hussein Alhamdi, 2023. "Riding the Waves of Artificial Intelligence in Advancing Accounting and Its Implications for Sustainable Development Goals," Sustainability, MDPI, vol. 15(19), pages 1-12, September.
    17. Han, Hongdan & Shiwakoti, Radha K. & Jarvis, Robin & Mordi, Chima & Botchie, David, 2023. "Accounting and auditing with blockchain technology and artificial Intelligence: A literature review," International Journal of Accounting Information Systems, Elsevier, vol. 48(C).
    18. Marko Kureljusic & Erik Karger, 2023. "Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 25(1), pages 81-104, May.
    19. Antonio Messeni Petruzzelli & Gianluca Murgia & Adele Parmentola, 2023. "Opening the black box of artificial intelligence technologies: unveiling the influence exerted by type of organisations and collaborative dynamics," Industry and Innovation, Taylor & Francis Journals, vol. 30(9), pages 1213-1243, October.
    20. repec:eme:jaar00:jaar-10-2020-0201 is not listed on IDEAS
    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. Mohd Fairuz Adnan & Siti Mariam Mansor & Nur Adibah Ilyana binti Bahanuddin, 2025. "Embracing Change: The Integration of Technology and Artificial Intelligence in the Malaysian Accounting Industry," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 971-981, January.
    2. Ani STOYKOVA, 2024. "AI in Accounting: Insights from a Bibliometric Analysis," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 5(8), pages 56-71, August.
    3. Murphy, Brid & Feeney, Orla & Rosati, Pierangelo & Lynn, Theo, 2024. "Exploring accounting and AI using topic modelling," International Journal of Accounting Information Systems, Elsevier, vol. 55(C).
    4. Luca Fontanelli & Mattia Guerini & Raffaele Miniaci & Angelo Secchi, 2025. "Predictive AI and productivity growth dynamics: evidence from French firms," Working Papers 2025.11, Fondazione Eni Enrico Mattei.
    5. Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
    6. Flavio Calvino & Luca Fontanelli, 2025. "Decoding AI: Nine facts about how firms use artificial intelligence in France," LEM Papers Series 2025/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Brea, Edgar, 2024. "The yin yang of AI: Exploring how commercial and non-commercial orientations shape machine learning innovation," Research Policy, Elsevier, vol. 53(6).
    8. Usai, A. & Fiano, F. & Messeni Petruzzelli, A. & Paoloni, P. & Farina Briamonte, M. & Orlando, B., 2021. "Unveiling the impact of the adoption of digital technologies on firms’ innovation performance," Journal of Business Research, Elsevier, vol. 133(C), pages 327-336.
    9. Christian Peukert & Margaritha Windisch, 2023. "The Economics of Copyright in the Digital Age," CESifo Working Paper Series 10687, CESifo.
    10. Stefano Bianchini & Giacomo Damioli & Claudia Ghisetti, 2023. "The environmental effects of the “twin” green and digital transition in European regions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 877-918, April.
    11. Andrea Borsato & André Lorentz, 2023. "Data production and the coevolving AI trajectories: an attempted evolutionary model," Journal of Evolutionary Economics, Springer, vol. 33(5), pages 1427-1472, November.
    12. Youngsam Chun & Jisoo Hur & Junseok Hwang, 2024. "AI technology specialization and national competitiveness," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-26, April.
    13. Sang Yoon Kim & Won Kyung Lee & Su Jung Jee & So Young Sohn, 2025. "Discovering AI adoption patterns from big academic graph data," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 809-831, February.
    14. Flavio Calvino & Chiara Criscuolo & Luca Fontanelli & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," CEP Discussion Papers dp2055, Centre for Economic Performance, LSE.
    15. Xu, Yanan & Sun, Yaowu & Zhou, Yiting, 2024. "Unpacking the intellectual structure and evolution trend of general-purpose technologies development in innovation studies," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    16. Flavio Calvino & Luca Fontanelli, 2024. "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series 11466, CESifo.
    17. Tabesh, Pooya & Mousavidin, Elham & Hasani, Sona, 2019. "Implementing big data strategies: A managerial perspective," Business Horizons, Elsevier, vol. 62(3), pages 347-358.
    18. Aaltonen, Aleksi Ville & Alaimo, Cristina & Kallinikos, Jannis, 2021. "The making of data commodities: data analytics as an embedded process," LSE Research Online Documents on Economics 110296, London School of Economics and Political Science, LSE Library.
    19. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    20. Naima SAHLI & Khaldia BOUGHENA & Amina ABDELHADI, 2024. "A Systematic Review Of Empirical Studies On The Impact Of Artificial Intelligence On University Students’ Writing Skills," Annals of the University of Craiova, Series Psychology, Pedagogy, Teacher Training Department, University of Craiova, vol. 46(2), pages 285-297, December.

    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:eee:tefoso:v:210:y:2025:i:c:s0040162524006875. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.