IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v56y2023ics1544612323005172.html
   My bibliography  Save this article

Explainable artificial intelligence in finance: A bibliometric review

Author

Listed:
  • Chen, Xun-Qi
  • Ma, Chao-Qun
  • Ren, Yi-Shuai
  • Lei, Yu-Tian
  • Huynh, Ngoc Quang Anh
  • Narayan, Seema

Abstract

This study focuses on explainable artificial intelligence (XAI) in finance. We collected 2,733 articles published between 2013 and 2023 from the Web of Science Core Collection and analyzed trends in literature development and future prospects using an integrated CiteSpace and Natural Language Processing (NLP) bibliometric approach. Our analysis reveals an increase in publication after 2013. Early XAI research had a significant and lasting impact, shifting research focus from traditional finance research to inclusive finance. XAI has diversified financial capabilities, and non-XAI pursues interpretable solutions for improvement. We conclude with a list of prospective subjects for further study.

Suggested Citation

  • Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
    • Handle: RePEc:eee:finlet:v:56:y:2023:i:c:s1544612323005172
    DOI: 10.1016/j.frl.2023.104145
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323005172
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2023.104145?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. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Eduardo Duque-Grisales & Javier Aguilera-Caracuel, 2021. "Environmental, Social and Governance (ESG) Scores and Financial Performance of Multilatinas: Moderating Effects of Geographic International Diversification and Financial Slack," Journal of Business Ethics, Springer, vol. 168(2), pages 315-334, January.
    3. Nizam, Esma & Ng, Adam & Dewandaru, Ginanjar & Nagayev, Ruslan & Nkoba, Malik Abdulrahman, 2019. "The impact of social and environmental sustainability on financial performance: A global analysis of the banking sector," Journal of Multinational Financial Management, Elsevier, vol. 49(C), pages 35-53.
    4. Chaomei Chen & Min Song, 2019. "Visualizing a field of research: A methodology of systematic scientometric reviews," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-25, October.
    5. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    6. Du, Shuili & Xie, Chunyan, 2021. "Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities," Journal of Business Research, Elsevier, vol. 129(C), pages 961-974.
    7. Jean-Marie John-Mathews, 2022. "Some critical and ethical perspectives on the empirical turn of AI interpretability," Post-Print hal-03395823, HAL.
    8. Coussement, Kristof & De Bock, Koen W., 2013. "Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning," Journal of Business Research, Elsevier, vol. 66(9), pages 1629-1636.
    9. Morshadul Hasan & Thi Le & Ariful Hoque, 2021. "How does financial literacy impact on inclusive finance?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-23, December.
    10. Carmona, Pedro & Dwekat, Aladdin & Mardawi, Zeena, 2022. "No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure," Research in International Business and Finance, Elsevier, vol. 61(C).
    11. Tyler Scott, 2015. "Does Collaboration Make Any Difference? Linking Collaborative Governance to Environmental Outcomes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(3), pages 537-566, June.
    12. Jean-Marie John-Mathews & Dominique Cardon & Christine Balagué, 2022. "From Reality to World. A Critical Perspective on AI Fairness," Journal of Business Ethics, Springer, vol. 178(4), pages 945-959, July.
    13. Katarina Valaskova & Tomas Kliestik & Maria Kovacova, 2018. "Management of financial risks in Slovak enterprises using regression analysis," Oeconomia Copernicana, Institute of Economic Research, vol. 9(1), pages 105-121, March.
    14. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    15. Davig, Troy & Hall, Aaron Smalter, 2019. "Recession forecasting using Bayesian classification," International Journal of Forecasting, Elsevier, vol. 35(3), pages 848-867.
    16. Zhang, Chanyuan (Abigail) & Cho, Soohyun & Vasarhelyi, Miklos, 2022. "Explainable Artificial Intelligence (XAI) in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
    17. John-Mathews, Jean-Marie, 2022. "Some critical and ethical perspectives on the empirical turn of AI interpretability," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    18. Sandberg, Susanne, 2014. "Experiential knowledge antecedents of the SME network node configuration in emerging market business networks," International Business Review, Elsevier, vol. 23(1), pages 20-29.
    19. Guangyou Zhou & Lian Liu & Sumei Luo, 2022. "Sustainable development, ESG performance and company market value: Mediating effect of financial performance," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3371-3387, November.
    20. Gür Ali, Özden & Gürlek, Ragıp, 2020. "Automatic Interpretable Retail forecasting with promotional scenarios," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1389-1406.
    21. Chen, Rui & Ren, Jinjuan, 2022. "Do AI-powered mutual funds perform better?," Finance Research Letters, Elsevier, vol. 47(PA).
    22. Hakan Gunduz, 2021. "An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-24, December.
    23. Jake B. Telkamp & Marc H. Anderson, 2022. "The Implications of Diverse Human Moral Foundations for Assessing the Ethicality of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 961-976, July.
    24. Ren, Yi-Shuai & Ma, Chao-Qun & Chen, Xun-Qi & Lei, Yu-Tian & Wang, Yi-Ran, 2023. "Sustainable finance and blockchain: A systematic review and research agenda," Research in International Business and Finance, Elsevier, vol. 64(C).
    25. Dang, Man & Puwanenthiren, Premkanth & Thai, Hong An & Mazur, Mieszko & Jones, Edward & Vo, Xuan Vinh, 2021. "Policy uncertainty and seasoned equity offerings methods," International Review of Financial Analysis, Elsevier, vol. 77(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cheng, Hang & Ruan, Ping & Wang, Peng, 2024. "The impact of surging computing power on enterprise digital transformation–Based on quasi-natural experiments set up by the National Supercomputing Center," Finance Research Letters, Elsevier, vol. 65(C).
    2. Qin, Meng & Hu, Wei & Qi, Xinzhou & Chang, Tsangyao, 2024. "Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy," Energy Economics, Elsevier, vol. 131(C).
    3. Chen, Biao & Lin, Huan & Shan, Biaoan & Xiao, Yundong, 2024. "Government investment in science and technology, digital transformation, and innovation in manufacturing enterprises," Finance Research Letters, Elsevier, vol. 69(PB).
    4. Zhang, Dongyang, 2024. "The pathway to curb greenwashing in sustainable growth: The role of artificial intelligence," Energy Economics, Elsevier, vol. 133(C).
    5. Ma, Chao-Qun & Lei, Yu-Tian & Ren, Yi-Shuai & Chen, Xun-Qi & Wang, Yi-Ran & Narayan, Seema, 2024. "Systematic analysis of the blockchain in the energy sector: Trends, issues, and future directions," Telecommunications Policy, Elsevier, vol. 48(2).
    6. Robert Kudelić & Tamara Šmaguc & Sherry Robinson, 2025. "Artificial intelligence in the service of entrepreneurial finance: knowledge structure and the foundational algorithmic paradigm," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-43, December.
    7. Xu, Zhan & Wang, Solomon & Ye, Junchen, 2024. "The effect of digitization on corporate fraud detection evidence from China," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    8. Liu, Xukang & Ma, Chaoqun & Ren, Yi-Shuai, 2024. "How AI powers ESG performance in China's digital frontier?," Finance Research Letters, Elsevier, vol. 70(C).

    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. Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
    2. Behera, Rajat Kumar & Bala, Pradip Kumar & Rana, Nripendra P. & Irani, Zahir, 2023. "Responsible natural language processing: A principlist framework for social benefits," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    3. Anup Kumar & Santosh Kumar Shrivastav & Avinash K. Shrivastava & Rashmi Ranjan Panigrahi & Abbas Mardani & Fausto Cavallaro, 2023. "Sustainable Supply Chain Management, Performance Measurement, and Management: A Review," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    4. Wentao Gu & Wanting Mo & Meiyu Wang, 2024. "Enterprise-level sustainable entrepreneurship index construction and its applications," International Entrepreneurship and Management Journal, Springer, vol. 20(2), pages 867-900, June.
    5. Ma, Chao-Qun & Lei, Yu-Tian & Ren, Yi-Shuai & Chen, Xun-Qi & Wang, Yi-Ran & Narayan, Seema, 2024. "Systematic analysis of the blockchain in the energy sector: Trends, issues, and future directions," Telecommunications Policy, Elsevier, vol. 48(2).
    6. Suen, Hung-Yue & Hung, Kuo-En, 2024. "Revealing the influence of AI and its interfaces on job candidates' honest and deceptive impression management in asynchronous video interviews," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    7. Peng He & Tong-Yuan Wang & Qi Shang & Jun Zhang & Henry Xu, 2024. "Knowledge mapping of e-commerce supply chain management: a bibliometric analysis," Electronic Commerce Research, Springer, vol. 24(3), pages 1889-1925, September.
    8. Nejla Ould Daoud Ellili, 2024. "Financial inclusion and sustainable development: A review and research agenda," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(4), pages 1345-1364, December.
    9. Chenfeng Yan & Quan Chen & Xinyue Zhou & Xin Dai & Zhilin Yang, 2024. "When the Automated fire Backfires: The Adoption of Algorithm-based HR Decision-making Could Induce Consumer’s Unfavorable Ethicality Inferences of the Company," Journal of Business Ethics, Springer, vol. 190(4), pages 841-859, April.
    10. Xue, Qinyuan & Jin, Yifei & Zhang, Cheng, 2024. "ESG rating results and corporate total factor productivity," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    11. Alexandra Horobet & Sabri Boubaker & Lucian Belascu & Cristina Carmencita Negreanu & Zeno Dinca, 2024. "Technology-driven advancements: Mapping the landscape of algorithmic trading literature," Post-Print hal-04990283, HAL.
    12. Salvatore Monaco & Giovanna Sacchi, 2023. "Travelling the Metaverse: Potential Benefits and Main Challenges for Tourism Sectors and Research Applications," Sustainability, MDPI, vol. 15(4), pages 1-10, February.
    13. Samuel-Soma M. Ajibade & Muhammed Basheer Jasser & David Olayemi Alebiosu & Ismail Ahmed Al- Qasem Al-Hadi & Ghassan Saleh Al-Dharhani & Farrukh Hassan & Bright Akwasi Gyamfi, 2024. "Uncovering the Dynamics in the Application of Machine learning in Computational Finance: A Bibliometric and Social Network Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 299-315, July.
    14. Lal, Madan & Kumar, Satish & Pandey, Dharen Kumar & Rai, Varun Kumar & Lim, Weng Marc, 2023. "Exchange rate volatility and international trade," Journal of Business Research, Elsevier, vol. 167(C).
    15. Sureka, Riya & Kumar, Satish & Colombage, Sisira & Abedin, Mohammad Zoynul, 2022. "Five decades of research on capital budgeting – A systematic review and future research agenda," Research in International Business and Finance, Elsevier, vol. 60(C).
    16. Hasan, Morshadul & Hoque, Ariful & Abedin, Mohammad Zoynul & Gasbarro, Dominic, 2024. "FinTech and sustainable development: A systematic thematic analysis using human- and machine-generated processing," International Review of Financial Analysis, Elsevier, vol. 95(PC).
    17. Jaiswal, Rachana & Gupta, Shashank & Tiwari, Aviral Kumar, 2024. "Big data and machine learning-based decision support system to reshape the vaticination of insurance claims," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    18. Ren, Yi-Shuai & Ma, Chao-Qun & Chen, Xun-Qi & Lei, Yu-Tian & Wang, Yi-Ran, 2023. "Sustainable finance and blockchain: A systematic review and research agenda," Research in International Business and Finance, Elsevier, vol. 64(C).
    19. Alan Kai Ming Au & Yi-Fan Yang & Huan Wang & Rui-Hong Chen & Leven J. Zheng, 2023. "Mapping the Landscape of ESG Strategies: A Bibliometric Review and Recommendations for Future Research," Sustainability, MDPI, vol. 15(24), pages 1-26, December.
    20. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.

    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:finlet:v:56:y:2023:i:c:s1544612323005172. 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.elsevier.com/locate/frl .

    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.